<?xml version="1.0" encoding="UTF-8"?>
<urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9"
        xmlns:news="http://www.google.com/schemas/sitemap-news/0.9"
        xmlns:image="http://www.google.com/schemas/sitemap-image/1.1">
    <url>
        <loc>https://ai-radar.it/article/qwen-3-8-flash-next-il-ple-in-fp8-cambia-le-carte-in-locale</loc>
        <lastmod>2026-10-17</lastmod>
        <changefreq>daily</changefreq>
        <priority>1.0</priority>
        <news:news>
            <news:publication>
                <news:name>AI-Radar</news:name>
                <news:language>it</news:language>
            </news:publication>
            <news:publication_date>2026-10-17T14:25:52+00:00</news:publication_date>
            <news:title>Qwen 3.8 Flash Next: il PLE in FP8 cambia le carte in locale</news:title>
        </news:news>
        <image:image>
            <image:loc>https://ai-radar.it/static/defaults/human_tech.jpg</image:loc>
            <image:title>Qwen 3.8 Flash Next: il PLE in FP8 cambia le carte in locale</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/deepseek-v4-1-flash-su-hugging-face-il-self-hosting-torna-sotto-i-riflettori</loc>
        <lastmod>2026-10-17</lastmod>
        <changefreq>daily</changefreq>
        <priority>1.0</priority>
        <news:news>
            <news:publication>
                <news:name>AI-Radar</news:name>
                <news:language>it</news:language>
            </news:publication>
            <news:publication_date>2026-10-17T08:26:07+00:00</news:publication_date>
            <news:title>DeepSeek V4.1 Flash su Hugging Face: il self-hosting torna sotto i riflettori</news:title>
        </news:news>
        <image:image>
            <image:loc>https://ai-radar.it/static/defaults/ai_abstract.jpg</image:loc>
            <image:title>DeepSeek V4.1 Flash su Hugging Face: il self-hosting torna sotto i riflettori</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/il-4b-bf16-di-nvidia-e-il-conto-della-vram-nell-inference-locale</loc>
        <lastmod>2026-10-17</lastmod>
        <changefreq>daily</changefreq>
        <priority>1.0</priority>
        <news:news>
            <news:publication>
                <news:name>AI-Radar</news:name>
                <news:language>it</news:language>
            </news:publication>
            <news:publication_date>2026-10-17T07:32:21+00:00</news:publication_date>
            <news:title>Il 4B BF16 di NVIDIA e il conto della VRAM nell'inference locale</news:title>
        </news:news>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/555740347-il-4b-bf16-di-nvidia-e-il-conto-della-vram-nell.jpg</image:loc>
            <image:title>Il 4B BF16 di NVIDIA e il conto della VRAM nell'inference locale</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/nvidia-e-il-4b-bf16-il-peso-specifico-dell-inference-locale</loc>
        <lastmod>2026-10-17</lastmod>
        <changefreq>daily</changefreq>
        <priority>1.0</priority>
        <news:news>
            <news:publication>
                <news:name>AI-Radar</news:name>
                <news:language>it</news:language>
            </news:publication>
            <news:publication_date>2026-10-17T00:55:44+00:00</news:publication_date>
            <news:title>NVIDIA e il 4B BF16: il peso specifico dell'inference locale</news:title>
        </news:news>
        <image:image>
            <image:loc>https://ai-radar.it/static/defaults/tech_wave.jpg</image:loc>
            <image:title>NVIDIA e il 4B BF16: il peso specifico dell'inference locale</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/orl-spinge-i-diffusion-llm-a-2-788-token-s-su-una-rtx-5090</loc>
        <lastmod>2026-10-16</lastmod>
        <changefreq>daily</changefreq>
        <priority>1.0</priority>
        <news:news>
            <news:publication>
                <news:name>AI-Radar</news:name>
                <news:language>it</news:language>
            </news:publication>
            <news:publication_date>2026-10-16T20:26:21+00:00</news:publication_date>
            <news:title>ORL spinge i diffusion LLM a 2.788 token/s su una RTX 5090</news:title>
        </news:news>
        <image:image>
            <image:loc>https://ai-radar.it/static/defaults/server_room.jpg</image:loc>
            <image:title>ORL spinge i diffusion LLM a 2.788 token/s su una RTX 5090</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/beam-di-reflection-ragionamento-a-token-ridotti-memoria-da-501-miliardi</loc>
        <lastmod>2026-10-16</lastmod>
        <changefreq>daily</changefreq>
        <priority>1.0</priority>
        <news:news>
            <news:publication>
                <news:name>AI-Radar</news:name>
                <news:language>it</news:language>
            </news:publication>
            <news:publication_date>2026-10-16T17:26:18+00:00</news:publication_date>
            <news:title>Beam di Reflection: ragionamento a token ridotti, memoria da 501 miliardi</news:title>
        </news:news>
        <image:image>
            <image:loc>https://ai-radar.it/static/defaults/quantum_compute.jpg</image:loc>
            <image:title>Beam di Reflection: ragionamento a token ridotti, memoria da 501 miliardi</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/ragionamento-nascosto-lapproccio-ibrido-che-dimezza-i-token-degli-llm</loc>
        <lastmod>2026-10-16</lastmod>
        <changefreq>daily</changefreq>
        <priority>1.0</priority>
        <news:news>
            <news:publication>
                <news:name>AI-Radar</news:name>
                <news:language>it</news:language>
            </news:publication>
            <news:publication_date>2026-10-16T11:56:35+00:00</news:publication_date>
            <news:title>Ragionamento nascosto: l’approccio ibrido che dimezza i token degli LLM</news:title>
        </news:news>
        <image:image>
            <image:loc>https://ai-radar.it/static/defaults/human_tech.jpg</image:loc>
            <image:title>Ragionamento nascosto: l’approccio ibrido che dimezza i token degli LLM</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/tencent-hy-memory-30b-a3b-perche-3b-attivi-contano-piu-di-30b-totali</loc>
        <lastmod>2026-10-16</lastmod>
        <changefreq>daily</changefreq>
        <priority>1.0</priority>
        <news:news>
            <news:publication>
                <news:name>AI-Radar</news:name>
                <news:language>it</news:language>
            </news:publication>
            <news:publication_date>2026-10-16T10:56:31+00:00</news:publication_date>
            <news:title>Tencent Hy-Memory-30B-A3B: perché 3B attivi contano più di 30B totali</news:title>
        </news:news>
        <image:image>
            <image:loc>https://ai-radar.it/static/defaults/data_flow.jpg</image:loc>
            <image:title>Tencent Hy-Memory-30B-A3B: perché 3B attivi contano più di 30B totali</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/qwen-flash-next-il-quant-q2-gyro-m-sfida-i-team-di-ista-lab</loc>
        <lastmod>2026-10-16</lastmod>
        <changefreq>daily</changefreq>
        <priority>1.0</priority>
        <news:news>
            <news:publication>
                <news:name>AI-Radar</news:name>
                <news:language>it</news:language>
            </news:publication>
            <news:publication_date>2026-10-16T09:56:35+00:00</news:publication_date>
            <news:title>Qwen Flash Next: il quant Q2 GYRO-M sfida i team di ISTA Lab</news:title>
        </news:news>
        <image:image>
            <image:loc>https://ai-radar.it/static/defaults/human_tech.jpg</image:loc>
            <image:title>Qwen Flash Next: il quant Q2 GYRO-M sfida i team di ISTA Lab</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/intel-pubblica-llm-scaler-vllm-pv-1-5-stack-docker-per-llm-su-gpu-arc</loc>
        <lastmod>2026-10-16</lastmod>
        <changefreq>daily</changefreq>
        <priority>1.0</priority>
        <news:news>
            <news:publication>
                <news:name>AI-Radar</news:name>
                <news:language>it</news:language>
            </news:publication>
            <news:publication_date>2026-10-16T09:27:00+00:00</news:publication_date>
            <news:title>Intel pubblica LLM-Scaler-vLLM PV 1.5: stack Docker per LLM su GPU Arc</news:title>
        </news:news>
    </url>
    <url>
        <loc>https://ai-radar.it/article/sovranita-open-source-il-lavoro-noioso-che-la-rende-concreta</loc>
        <lastmod>2026-10-16</lastmod>
        <changefreq>daily</changefreq>
        <priority>1.0</priority>
        <news:news>
            <news:publication>
                <news:name>AI-Radar</news:name>
                <news:language>it</news:language>
            </news:publication>
            <news:publication_date>2026-10-16T08:56:56+00:00</news:publication_date>
            <news:title>Sovranità open source: il lavoro noioso che la rende concreta</news:title>
        </news:news>
        <image:image>
            <image:loc>https://ai-radar.it/static/defaults/quantum_compute.jpg</image:loc>
            <image:title>Sovranità open source: il lavoro noioso che la rende concreta</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/bolt-graphics-cerca-100-milioni-di-dollari-per-sfidare-nvidia-e-amd-con-la-gpu-zeus</loc>
        <lastmod>2026-10-16</lastmod>
        <changefreq>daily</changefreq>
        <priority>1.0</priority>
        <news:news>
            <news:publication>
                <news:name>AI-Radar</news:name>
                <news:language>it</news:language>
            </news:publication>
            <news:publication_date>2026-10-16T08:26:46+00:00</news:publication_date>
            <news:title>Bolt Graphics cerca 100 milioni di dollari per sfidare Nvidia e AMD con la GPU Zeus</news:title>
        </news:news>
    </url>
    <url>
        <loc>https://ai-radar.it/article/muse-spark-open-il-segnale-vero-e-nei-kernel-portatili-non-nei-816b</loc>
        <lastmod>2026-10-16</lastmod>
        <changefreq>daily</changefreq>
        <priority>1.0</priority>
        <news:news>
            <news:publication>
                <news:name>AI-Radar</news:name>
                <news:language>it</news:language>
            </news:publication>
            <news:publication_date>2026-10-16T07:34:25+00:00</news:publication_date>
            <news:title>Muse Spark Open: il segnale vero è nei kernel portatili, non nei 816B</news:title>
        </news:news>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/822648297-muse-spark-open-il-segnale-vero-nei-kernel-porta.jpg</image:loc>
            <image:title>Muse Spark Open: il segnale vero è nei kernel portatili, non nei 816B</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/prism-insegna-ai-sistemi-multi-agente-a-scegliere-la-topologia-giusta-per-ogni-query</loc>
        <lastmod>2026-10-16</lastmod>
        <changefreq>daily</changefreq>
        <priority>1.0</priority>
        <news:news>
            <news:publication>
                <news:name>AI-Radar</news:name>
                <news:language>it</news:language>
            </news:publication>
            <news:publication_date>2026-10-16T04:29:18+00:00</news:publication_date>
            <news:title>PRISM insegna ai sistemi multi-agente a scegliere la topologia giusta per ogni query</news:title>
        </news:news>
        <image:image>
            <image:loc>https://ai-radar.it/static/defaults/ai_circuit.jpg</image:loc>
            <image:title>PRISM insegna ai sistemi multi-agente a scegliere la topologia giusta per ogni query</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/deepunfolding-agent-il-controllo-adattivo-diventa-un-servizio-esterno</loc>
        <lastmod>2026-10-16</lastmod>
        <changefreq>daily</changefreq>
        <priority>1.0</priority>
        <news:news>
            <news:publication>
                <news:name>AI-Radar</news:name>
                <news:language>it</news:language>
            </news:publication>
            <news:publication_date>2026-10-16T04:27:53+00:00</news:publication_date>
            <news:title>DeepUnfolding Agent: il controllo adattivo diventa un servizio esterno</news:title>
        </news:news>
        <image:image>
            <image:loc>https://ai-radar.it/static/defaults/ai_circuit.jpg</image:loc>
            <image:title>DeepUnfolding Agent: il controllo adattivo diventa un servizio esterno</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/benchmark-saturi-nei-transcript-resta-segnale-utile</loc>
        <lastmod>2026-10-16</lastmod>
        <changefreq>daily</changefreq>
        <priority>1.0</priority>
        <news:news>
            <news:publication>
                <news:name>AI-Radar</news:name>
                <news:language>it</news:language>
            </news:publication>
            <news:publication_date>2026-10-16T04:26:23+00:00</news:publication_date>
            <news:title>Benchmark saturi: nei transcript resta segnale utile</news:title>
        </news:news>
        <image:image>
            <image:loc>https://ai-radar.it/static/defaults/processor_close.jpg</image:loc>
            <image:title>Benchmark saturi: nei transcript resta segnale utile</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/deepseek-v4-flash-su-4-radeon-ai-pro-r9700-la-modalita-da-79-tok-s-funziona</loc>
        <lastmod>2026-10-16</lastmod>
        <changefreq>daily</changefreq>
        <priority>1.0</priority>
        <news:news>
            <news:publication>
                <news:name>AI-Radar</news:name>
                <news:language>it</news:language>
            </news:publication>
            <news:publication_date>2026-10-16T02:56:43+00:00</news:publication_date>
            <news:title>DeepSeek-V4-Flash su 4 Radeon AI PRO R9700: la modalità da 79 tok/s funziona</news:title>
        </news:news>
        <image:image>
            <image:loc>https://ai-radar.it/static/defaults/server.jpg</image:loc>
            <image:title>DeepSeek-V4-Flash su 4 Radeon AI PRO R9700: la modalità da 79 tok/s funziona</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/meta-apre-i-pesi-di-muse-spark-open-816b-parametri-e-contesto-da-1m-token</loc>
        <lastmod>2026-10-15</lastmod>
        <changefreq>daily</changefreq>
        <priority>1.0</priority>
        <news:news>
            <news:publication>
                <news:name>AI-Radar</news:name>
                <news:language>it</news:language>
            </news:publication>
            <news:publication_date>2026-10-15T18:26:22+00:00</news:publication_date>
            <news:title>Meta apre i pesi di Muse Spark Open: 816B parametri e contesto da 1M token</news:title>
        </news:news>
    </url>
    <url>
        <loc>https://ai-radar.it/article/nemotron-3-5-bolt-un-vlm-da-74b-compresso-in-24-gb-per-l-on-premise</loc>
        <lastmod>2026-10-15</lastmod>
        <changefreq>daily</changefreq>
        <priority>0.9</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/defaults/ai_abstract.jpg</image:loc>
            <image:title>Nemotron 3.5 Bolt: un VLM da 74B compresso in 24 GB per l'on-premise</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/rtx-5060-ti-a-1-292-in-giappone-il-black-friday-delle-gpu-e-gia-un-test</loc>
        <lastmod>2026-10-15</lastmod>
        <changefreq>daily</changefreq>
        <priority>0.9</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/defaults/ai_abstract.jpg</image:loc>
            <image:title>RTX 5060 Ti a $1.292 in Giappone: il Black Friday delle GPU è già un test</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/gnome-mutter-migliora-il-damage-tracking-per-le-gpu-secondarie</loc>
        <lastmod>2026-10-15</lastmod>
        <changefreq>daily</changefreq>
        <priority>0.9</priority>
    </url>
    <url>
        <loc>https://ai-radar.it/article/microsoft-e-il-modello-locale-da-137-miliardi-di-parametri-la-mossa-per-il-codice-on-premise</loc>
        <lastmod>2026-10-15</lastmod>
        <changefreq>daily</changefreq>
        <priority>0.9</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/defaults/human_tech.jpg</image:loc>
            <image:title>Microsoft e il modello locale da 137 miliardi di parametri: la mossa per il codice on-premise</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/mr-chatterbox-2-7b-chat-un-llm-addestrato-da-zero-sui-testi-vittoriani</loc>
        <lastmod>2026-10-15</lastmod>
        <changefreq>daily</changefreq>
        <priority>0.9</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/defaults/quantum_compute.jpg</image:loc>
            <image:title>Mr.Chatterbox-2.7B-Chat: un LLM addestrato da zero sui testi vittoriani</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/amd-w7900-e-lfm2-5-il-segnale-di-un-on-premise-sempre-piu-concreto</loc>
        <lastmod>2026-10-15</lastmod>
        <changefreq>daily</changefreq>
        <priority>0.9</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/4107466752-amd-w7900-e-lfm2-5-il-segnale-di-un-on-premise-s.jpg</image:loc>
            <image:title>AMD W7900 e LFM2.5: il segnale di un on-premise sempre più concreto</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/il-bengalese-smonta-le-certezze-dei-benchmark-llm-in-inglese</loc>
        <lastmod>2026-10-15</lastmod>
        <changefreq>daily</changefreq>
        <priority>0.9</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/defaults/dashboard_data.jpg</image:loc>
            <image:title>Il bengalese smonta le certezze dei benchmark LLM in inglese</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/voice-agent-e-recupero-crediti-la-conformita-diventa-una-specifica</loc>
        <lastmod>2026-10-15</lastmod>
        <changefreq>daily</changefreq>
        <priority>0.9</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/defaults/dashboard_data.jpg</image:loc>
            <image:title>Voice agent e recupero crediti: la conformità diventa una specifica</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/modello-inverso-addestrare-llm-al-ragionamento-senza-cot</loc>
        <lastmod>2026-10-15</lastmod>
        <changefreq>daily</changefreq>
        <priority>0.9</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/defaults/tech_wave.jpg</image:loc>
            <image:title>Modello inverso: addestrare LLM al ragionamento senza CoT</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/lotus-prevedere-il-futuro-per-comprendere-le-serie-temporali</loc>
        <lastmod>2026-10-15</lastmod>
        <changefreq>daily</changefreq>
        <priority>0.9</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/defaults/data_flow.jpg</image:loc>
            <image:title>Lotus: prevedere il futuro per comprendere le serie temporali</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/il-primo-esame-dellartificialita-un-c-test-basato-su-llm-per-la-sovraintelligenza</loc>
        <lastmod>2026-10-15</lastmod>
        <changefreq>daily</changefreq>
        <priority>0.9</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/defaults/dashboard_data.jpg</image:loc>
            <image:title>Il primo esame dell’artificialità: un C-test basato su LLM per la sovraintelligenza</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/liquidai-lfm2-5-24-a2b-performance-robuste-su-amd-w7900-per-llm-on-premise</loc>
        <lastmod>2026-10-15</lastmod>
        <changefreq>daily</changefreq>
        <priority>0.9</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/defaults/ai_circuit.jpg</image:loc>
            <image:title>LiquidAI LFM2.5-24-A2B: performance robuste su AMD W7900 per LLM on-premise</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/ling-3-1-flash-560-miliardi-di-parametri-25b-attivi-e-contesto-da-1-milione-di-token</loc>
        <lastmod>2026-10-14</lastmod>
        <changefreq>daily</changefreq>
        <priority>0.9</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/defaults/dashboard_data.jpg</image:loc>
            <image:title>Ling-3.1-flash: 560 miliardi di parametri, 25B attivi e contesto da 1 milione di token</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/nvidia-nemotron-bolt-3-5-74b-moe-in-24-gb-grazie-alla-quantization-a-2-bit</loc>
        <lastmod>2026-10-14</lastmod>
        <changefreq>daily</changefreq>
        <priority>0.9</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/defaults/tech_wave.jpg</image:loc>
            <image:title>NVIDIA Nemotron Bolt 3.5 74B: MoE in 24 GB grazie alla quantization a 2 bit</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/skeleton-supera-1-miliardo-con-siemens-l-energia-diventa-il-collo-di-bottiglia-ai</loc>
        <lastmod>2026-10-14</lastmod>
        <changefreq>daily</changefreq>
        <priority>0.9</priority>
    </url>
    <url>
        <loc>https://ai-radar.it/article/open-weight-cinesi-a-7-mesi-dai-modelli-usa-la-trasparenza-dei-dati-conta-piu-del-gap</loc>
        <lastmod>2026-10-14</lastmod>
        <changefreq>daily</changefreq>
        <priority>0.9</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/defaults/tech_wave.jpg</image:loc>
            <image:title>Open-weight cinesi a 7 mesi dai modelli USA: la trasparenza dei dati conta più del gap</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/apple-studia-come-trasformare-i-mac-inattivi-in-una-cloud-gpu-virtuale-con-minions</loc>
        <lastmod>2026-10-14</lastmod>
        <changefreq>daily</changefreq>
        <priority>0.9</priority>
    </url>
    <url>
        <loc>https://ai-radar.it/article/51-lab-offline-per-imparare-l-ai-dai-neuroni-agli-agenti</loc>
        <lastmod>2026-10-14</lastmod>
        <changefreq>daily</changefreq>
        <priority>0.9</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/defaults/data_flow.jpg</image:loc>
            <image:title>51 lab offline per imparare l'AI dai neuroni agli agenti</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/mesa-porta-yolox-su-npu-il-driver-aperto-ridefinisce-l-inference-locale</loc>
        <lastmod>2026-10-14</lastmod>
        <changefreq>daily</changefreq>
        <priority>0.9</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/134489691-mesa-porta-yolox-su-npu-il-driver-aperto-ridefin.jpg</image:loc>
            <image:title>Mesa porta YOLOX su NPU: il driver aperto ridefinisce l'inference locale</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/mesa-porta-yolox-con-pytorch-sulle-npu-il-driver-open-source-avanza</loc>
        <lastmod>2026-10-14</lastmod>
        <changefreq>daily</changefreq>
        <priority>0.9</priority>
    </url>
    <url>
        <loc>https://ai-radar.it/article/una-ps5-jailbroken-esegue-qwen-27b-a-20-token-s-segnale-per-il-self-hosting</loc>
        <lastmod>2026-10-13</lastmod>
        <changefreq>daily</changefreq>
        <priority>0.9</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/defaults/chip_wafer.jpg</image:loc>
            <image:title>Una PS5 jailbroken esegue Qwen 27B a 20 token/s: segnale per il self-hosting</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/liquidai-lfm2-5-24b-a2b-24b-di-parametri-2b-attivi-per-l-on-device</loc>
        <lastmod>2026-10-13</lastmod>
        <changefreq>daily</changefreq>
        <priority>0.9</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/defaults/dashboard_data.jpg</image:loc>
            <image:title>LiquidAI LFM2.5-24B-A2B: 24B di parametri, 2B attivi per l'on-device</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/reverse-engineering-cuda-con-ai-il-sintomo-di-un-lock-in-che-pesa-sull-on-premise</loc>
        <lastmod>2026-10-13</lastmod>
        <changefreq>daily</changefreq>
        <priority>0.9</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/3626219563-reverse-engineering-cuda-con-ai-il-sintomo-di-un.jpg</image:loc>
            <image:title>Reverse engineering CUDA con AI: il sintomo di un lock-in che pesa sull'on-premise</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/scontrini-on-device-il-segnale-per-chi-controlla-l-inference-locale</loc>
        <lastmod>2026-10-12</lastmod>
        <changefreq>daily</changefreq>
        <priority>0.9</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/2399722296-scontrini-on-device-il-segnale-per-chi-controlla.jpg</image:loc>
            <image:title>Scontrini on-device: il segnale per chi controlla l'inference locale</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/rtx-4090-contraffatte-la-falla-hardware-dell-inference-self-hosted</loc>
        <lastmod>2026-10-11</lastmod>
        <changefreq>daily</changefreq>
        <priority>0.9</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/56824640-rtx-4090-contraffatte-la-falla-hardware-dell-inf.jpg</image:loc>
            <image:title>RTX 4090 contraffatte: la falla hardware dell'inference self-hosted</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/glm-5-3-flash-e-mistral-large-4-il-sorpasso-che-sposta-il-tco</loc>
        <lastmod>2026-10-10</lastmod>
        <changefreq>weekly</changefreq>
        <priority>0.7</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/1418077475-glm-5-3-flash-e-mistral-large-4-il-sorpasso-che.jpg</image:loc>
            <image:title>GLM 5.3 Flash e Mistral Large 4: il sorpasso che sposta il TCO</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/sap-simula-l-azienda-dati-sintetici-senza-schema-e-il-nuovo-perimetro-sovrano</loc>
        <lastmod>2026-10-09</lastmod>
        <changefreq>weekly</changefreq>
        <priority>0.7</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/965886847-sap-simula-l-azienda-dati-sintetici-senza-schema.jpg</image:loc>
            <image:title>SAP simula l'azienda: dati sintetici senza schema e il nuovo perimetro sovrano</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/litebox-il-sandbox-locale-diventa-un-tassello-per-lai-on-premise</loc>
        <lastmod>2026-10-08</lastmod>
        <changefreq>weekly</changefreq>
        <priority>0.7</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/2043496040-litebox-il-sandbox-locale-diventa-un-tassello-pe.jpg</image:loc>
            <image:title>LiteBox: il sandbox locale diventa un tassello per l’AI on-premise</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/guida-esterna-nei-llm-il-bias-non-si-elimina-si-calibra</loc>
        <lastmod>2026-10-07</lastmod>
        <changefreq>weekly</changefreq>
        <priority>0.7</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/1439662820-guida-esterna-nei-llm-il-bias-non-si-elimina-si.jpg</image:loc>
            <image:title>Guida esterna nei LLM: il bias non si elimina, si calibra</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/rocm-10-1-la-cadenza-software-che-riscrive-il-tco-on-premise</loc>
        <lastmod>2026-10-06</lastmod>
        <changefreq>weekly</changefreq>
        <priority>0.7</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/814595078-rocm-10-1-la-cadenza-software-che-riscrive-il-tc.jpg</image:loc>
            <image:title>ROCm 10.1: la cadenza software che riscrive il TCO on-premise</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/quando-un-llm-locale-perde-il-filo-biografie-nel-refactoring-e-quantization-spinta</loc>
        <lastmod>2026-10-05</lastmod>
        <changefreq>weekly</changefreq>
        <priority>0.7</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/1927925657-quando-un-llm-locale-perde-il-filo-biografie-nel.jpg</image:loc>
            <image:title>Quando un LLM locale perde il filo: biografie nel refactoring e quantization spinta</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/kolibri-1-e-il-nuovo-baricentro-dell-ai-locale-meno-calcolo-piu-memoria</loc>
        <lastmod>2026-10-04</lastmod>
        <changefreq>weekly</changefreq>
        <priority>0.7</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/1326558760-kolibri-1-e-il-nuovo-baricentro-dell-ai-locale-m.jpg</image:loc>
            <image:title>Kolibri-1 e il nuovo baricentro dell'AI locale: meno calcolo, più memoria</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/helion-in-vllm-il-tuning-dei-gemm-diventa-ricerca-non-artigianato-gpu</loc>
        <lastmod>2026-10-03</lastmod>
        <changefreq>weekly</changefreq>
        <priority>0.7</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/1354070319-helion-in-vllm-il-tuning-dei-gemm-diventa-ricerc.jpg</image:loc>
            <image:title>Helion in vLLM: il tuning dei GEMM diventa ricerca, non artigianato GPU</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/big-ip-next-per-kubernetes-l-efficienza-ai-si-sposta-dalla-gpu-alla-rete</loc>
        <lastmod>2026-10-02</lastmod>
        <changefreq>weekly</changefreq>
        <priority>0.7</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/1593926966-big-ip-next-per-kubernetes-l-efficienza-ai-si-sp.jpg</image:loc>
            <image:title>BIG-IP Next per Kubernetes: l'efficienza AI si sposta dalla GPU alla rete</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/plants-governed-agents</loc>
        <lastmod>2026-10-01</lastmod>
        <changefreq>weekly</changefreq>
        <priority>0.7</priority>
    </url>
    <url>
        <loc>https://ai-radar.it/article/fine-tuning-oltre-il-testo-dasa-trasforma-il-gradiente-nel-dataset</loc>
        <lastmod>2026-09-30</lastmod>
        <changefreq>weekly</changefreq>
        <priority>0.7</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/1428125966-fine-tuning-oltre-il-testo-dasa-trasforma-il-gra.jpg</image:loc>
            <image:title>Fine-tuning oltre il testo: DASA trasforma il gradiente nel dataset</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/nemotron-3-il-valore-si-sposta-dai-pesi-all-orchestrazione-dell-inference</loc>
        <lastmod>2026-09-29</lastmod>
        <changefreq>weekly</changefreq>
        <priority>0.7</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/2517574476-nemotron-3-il-valore-si-sposta-dai-pesi-all-orch.jpg</image:loc>
            <image:title>Nemotron 3: il valore si sposta dai pesi all'orchestrazione dell'inference</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/nvidia-spinge-i-personal-ai-computer-l-on-premise-diventa-un-formato</loc>
        <lastmod>2026-09-28</lastmod>
        <changefreq>weekly</changefreq>
        <priority>0.7</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/2389669281-nvidia-spinge-i-personal-ai-computer-l-on-premis.jpg</image:loc>
            <image:title>Nvidia spinge i personal AI computer: l'on-premise diventa un formato</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/snapdragon-8-elite-gen-6-l-inference-locale-sposta-il-perimetro-dei-dati</loc>
        <lastmod>2026-09-27</lastmod>
        <changefreq>weekly</changefreq>
        <priority>0.7</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/871081653-snapdragon-8-elite-gen-6-l-inference-locale-spos.jpg</image:loc>
            <image:title>Snapdragon 8 Elite Gen 6: l'inference locale sposta il perimetro dei dati</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/qwengram-0-8b-memoria-esterna-e-gate-dinamica-cambiano-i-conti-del-self-hosted</loc>
        <lastmod>2026-09-26</lastmod>
        <changefreq>weekly</changefreq>
        <priority>0.7</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/1528234453-qwengram-0-8b-memoria-esterna-e-gate-dinamica-ca.jpg</image:loc>
            <image:title>Qwengram-0.8B: memoria esterna e gate dinamica cambiano i conti del self-hosted</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/sicurezza-ad-hominem-e-controllo-locale-il-vero-costo-degli-llm-addomesticati</loc>
        <lastmod>2026-09-25</lastmod>
        <changefreq>weekly</changefreq>
        <priority>0.7</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/787676270-sicurezza-ad-hominem-e-controllo-locale-il-vero.jpg</image:loc>
            <image:title>Sicurezza, ad hominem e controllo locale: il vero costo degli LLM addomesticati</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/amd-e-gddr7-su-linux-il-segnale-infrastrutturale-per-chi-fa-inference-on-premise</loc>
        <lastmod>2026-09-24</lastmod>
        <changefreq>weekly</changefreq>
        <priority>0.7</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/3067376691-amd-e-gddr7-su-linux-il-segnale-infrastrutturale.jpg</image:loc>
            <image:title>AMD e GDDR7 su Linux: il segnale infrastrutturale per chi fa inference on-premise</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/aliceai-80b-architettura-custom-e-il-nodo-dei-runtime</loc>
        <lastmod>2026-09-22</lastmod>
        <changefreq>weekly</changefreq>
        <priority>0.7</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/2009973416-aliceai-80b-architettura-custom-e-il-nodo-dei-ru.jpg</image:loc>
            <image:title>AliceAI 80B: architettura custom e il nodo dei runtime</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/bi-bench-e-bi-agent-il-vero-divario-e-nell-orchestrazione-dei-dati</loc>
        <lastmod>2026-09-21</lastmod>
        <changefreq>weekly</changefreq>
        <priority>0.7</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/2194727379-bi-bench-e-bi-agent-il-vero-divario-nell-orchest.jpg</image:loc>
            <image:title>BI-Bench e BI-Agent: il vero divario è nell'orchestrazione dei dati</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/von-395m-parametri-e-solo-cpu-cosa-cambia-per-l-inference-on-premise</loc>
        <lastmod>2026-09-20</lastmod>
        <changefreq>weekly</changefreq>
        <priority>0.7</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/defaults/data_center_blue.jpg</image:loc>
            <image:title>Von, 395M parametri e solo CPU: cosa cambia per l'inference on-premise</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/bonsai-2-swift-e-il-costo-nascosto-dei-token-nel-self-hosted</loc>
        <lastmod>2026-09-19</lastmod>
        <changefreq>weekly</changefreq>
        <priority>0.7</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/defaults/human_tech.jpg</image:loc>
            <image:title>Bonsai 2 Swift e il costo nascosto dei token nel self-hosted</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/il-transformer-che-amplifica-il-disaccordo-cambia-i-conti-dell-on-premise</loc>
        <lastmod>2026-09-18</lastmod>
        <changefreq>weekly</changefreq>
        <priority>0.7</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/defaults/tech_wave.jpg</image:loc>
            <image:title>Il Transformer che amplifica il disaccordo cambia i conti dell'on-premise</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/63-ore-di-inference-autonoma-su-una-rtx-3090-il-vero-carico-e-l-orchestrazione</loc>
        <lastmod>2026-09-17</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/defaults/processor_close.jpg</image:loc>
            <image:title>63 ore di inference autonoma su una RTX 3090: il vero carico è l'orchestrazione</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/cache-kv-il-nuovo-fronte-dell-infrastruttura-llm-on-premise</loc>
        <lastmod>2026-09-16</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
    </url>
    <url>
        <loc>https://ai-radar.it/article/k2-horizon-7b-il-segnale-che-sposta-la-competizione-sul-rapporto-vram-capacita</loc>
        <lastmod>2026-09-15</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/defaults/human_tech.jpg</image:loc>
            <image:title>K2 Horizon 7B: il segnale che sposta la competizione sul rapporto VRAM/capacità</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/il-diritto-all-ai-locale-la-sicurezza-e-la-spinta-alla-centralizzazione</loc>
        <lastmod>2026-09-14</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/defaults/chip_wafer.jpg</image:loc>
            <image:title>Il diritto all'AI locale, la sicurezza e la spinta alla centralizzazione</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/budget-un-llm-denso-da-94b-su-una-scheda-sposta-il-vincolo-dalla-gpu-alla-comunita</loc>
        <lastmod>2026-09-13</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/defaults/server_room.jpg</image:loc>
            <image:title>Budget: un LLM denso da 9,4B su una scheda sposta il vincolo dalla GPU alla comunità</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/personalita-nel-prompt-non-nei-pesi-il-nuovo-confine-dell-on-premise</loc>
        <lastmod>2026-09-12</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/defaults/ai_circuit.jpg</image:loc>
            <image:title>Personalità nel prompt, non nei pesi: il nuovo confine dell'on-premise</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/babylm-2026-perche-l-efficienza-dei-dati-e-una-leva-per-il-tco-on-premise</loc>
        <lastmod>2026-09-11</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/defaults/tech_wave.jpg</image:loc>
            <image:title>BabyLM 2026: perché l'efficienza dei dati è una leva per il TCO on-premise</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/enflame-e-il-completamento-del-framework-gpu-cinese-il-capitale-non-basta</loc>
        <lastmod>2026-09-10</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
    </url>
    <url>
        <loc>https://ai-radar.it/article/semifive-sul-4nm-di-samsung-il-primo-stress-test-industriale-degli-asic-per-llm</loc>
        <lastmod>2026-09-09</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
    </url>
    <url>
        <loc>https://ai-radar.it/article/cambricon-nella-pytorch-foundation-il-software-e-la-vera-partita-dell-hardware</loc>
        <lastmod>2026-09-08</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/defaults/chip.jpg</image:loc>
            <image:title>Cambricon nella PyTorch Foundation: il software è la vera partita dell'hardware</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/astra-e-llm-open-source-il-divario-vero-e-nellorchestrazione</loc>
        <lastmod>2026-09-07</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/9e771c14-b474-4eb4-91b7-64ae06fb289e.webp</image:loc>
            <image:title>Astra e LLM open source: il divario vero è nell’orchestrazione</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/open-source-e-laboratori-di-frontiera-quando-la-parita-percepita-sposta-il-mercato</loc>
        <lastmod>2026-09-06</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/defaults/data_flow.jpg</image:loc>
            <image:title>Open source e laboratori di frontiera: quando la parità percepita sposta il mercato</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/tencent-hy4-su-llama-cpp-il-segnale-per-l-inference-locale</loc>
        <lastmod>2026-09-05</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/defaults/processor_close.jpg</image:loc>
            <image:title>Tencent Hy4 su llama.cpp: il segnale per l'inference locale</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/nvidia-hugging-face-il-controllo-dell-ai-passa-da-pagamenti-e-talenti</loc>
        <lastmod>2026-09-04</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
    </url>
    <url>
        <loc>https://ai-radar.it/article/la-cache-degli-esperti-riscrive-il-tco-moe-fluido-su-hardware-on-premise-datato</loc>
        <lastmod>2026-09-03</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/defaults/data_center_blue.jpg</image:loc>
            <image:title>La cache degli esperti riscrive il TCO: MoE fluido su hardware on-premise datato</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/dai-profili-sintetici-ai-segnali-reali-il-fine-tuning-cambia-la-personalizzazione-degli-llm</loc>
        <lastmod>2026-09-02</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/defaults/tech_wave.jpg</image:loc>
            <image:title>Dai profili sintetici ai segnali reali: il fine-tuning cambia la personalizzazione degli LLM</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/the-sandbox-dissolved-the-monthly-signal-from-ai-radar</loc>
        <lastmod>2026-08-31</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/648f659c-aff3-45ce-976c-ffda3a82bb99.jpg</image:loc>
            <image:title>The Sandbox Dissolved!  The monthly signal from AI-Radar</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/quantization-come-superficie-d-attacco-il-vuoto-tra-validazione-e-deployment</loc>
        <lastmod>2026-08-31</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/defaults/chip.jpg</image:loc>
            <image:title>Quantization come superficie d'attacco: il vuoto tra validazione e deployment</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/la-leva-runtime-che-porta-un-llm-da-27b-a-100k-token-su-16-gb</loc>
        <lastmod>2026-08-30</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/defaults/cloud_tech.jpg</image:loc>
            <image:title>La leva runtime che porta un LLM da 27B a 100k token su 16 GB</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/hp-z4-g6i-il-prezzo-e-solo-la-superficie-del-segnale-linux-ready</loc>
        <lastmod>2026-08-29</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
    </url>
    <url>
        <loc>https://ai-radar.it/article/nvidia-hugging-face-il-nodo-dei-modelli-diventa-un-asset-hardware</loc>
        <lastmod>2026-08-28</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
    </url>
    <url>
        <loc>https://ai-radar.it/article/greenleaf-law-embed-tiny-il-retrieval-giuridico-si-fa-locale</loc>
        <lastmod>2026-08-27</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/defaults/human_tech.jpg</image:loc>
            <image:title>GreenLeaf Law Embed Tiny, il retrieval giuridico si fa locale</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/qwen3-8-27b-scende-a-197-gb-cosa-cambia-per-l-on-premise</loc>
        <lastmod>2026-08-26</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/242134416-qwen3-8-27b-scende-a-19-7-gb-cosa-cambia-per-l-o.jpg</image:loc>
            <image:title>Qwen3.8-27B scende a 19,7 GB: cosa cambia per l'on-premise</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/tomoe-e-la-sparsita-dinamica-meno-calcolo-per-gli-llm-locali</loc>
        <lastmod>2026-08-25</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/3456745620-tomoe-e-la-sparsit-dinamica-meno-calcolo-per-gli.jpg</image:loc>
            <image:title>ToMoE e la sparsità dinamica: meno calcolo per gli LLM locali</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/deepseek-v4-flash-in-cantina-la-cpu-ecc-cambia-i-conti-dell-on-premise</loc>
        <lastmod>2026-08-24</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/2955223760-deepseek-v4-flash-in-cantina-la-cpu-ecc-cambia-i.jpg</image:loc>
            <image:title>DeepSeek V4 Flash in cantina: la CPU ECC cambia i conti dell'on-premise</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/dopo-qwen-3-8-27b-il-silenzio-che-sposta-il-tco-verso-il-locale</loc>
        <lastmod>2026-08-23</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/3147786820-dopo-qwen-3-8-27b-il-silenzio-che-sposta-il-tco.jpg</image:loc>
            <image:title>Dopo Qwen 3.8 27B: il silenzio che sposta il TCO verso il locale</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/venti-ore-di-coding-agentico-su-due-gpu-consumer-il-segnale-di-qwen3-8-27b-q6</loc>
        <lastmod>2026-08-22</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/269949912-venti-ore-di-coding-agentico-su-due-gpu-consumer.jpg</image:loc>
            <image:title>Venti ore di coding agentico su due GPU consumer: il segnale di Qwen3.8-27B Q6</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/qwenmix-3-7-sette-token-un-merge-e-il-futuro-dei-checkpoint-locali</loc>
        <lastmod>2026-08-21</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/1713019376-qwenmix-3-7-sette-token-un-merge-e-il-futuro-dei.jpg</image:loc>
            <image:title>QwenMix-3.7: sette token, un merge e il futuro dei checkpoint locali</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/depth-pruning-su-qwen3-8-27b-la-leggerezza-non-e-gratuita</loc>
        <lastmod>2026-08-20</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/1160932393-depth-pruning-su-qwen3-8-27b-la-leggerezza-non-g.jpg</image:loc>
            <image:title>Depth pruning su Qwen3.8-27B: la leggerezza non è gratuita</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/dflash-2-via-llama-cpp-la-distribuzione-dei-quantizzati-e-il-segnale</loc>
        <lastmod>2026-08-19</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/1574116591-dflash-2-via-llama-cpp-la-distribuzione-dei-quan.jpg</image:loc>
            <image:title>DFlash 2 via llama.cpp: la distribuzione dei quantizzati è il segnale</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/fpo-e-il-fine-tuning-senza-backward-pass-l-adattamento-locale-cambia-baricentro</loc>
        <lastmod>2026-08-18</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/2130136004-fpo-e-il-fine-tuning-senza-backward-pass-l-adatt.jpg</image:loc>
            <image:title>FPO e il fine-tuning senza backward pass: l'adattamento locale cambia baricentro</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/il-benchmark-come-obiettivo-distorsione-dei-ranking-e-rischi-per-l-on-premise</loc>
        <lastmod>2026-08-17</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/3062295058-il-benchmark-come-obiettivo-distorsione-dei-rank.jpg</image:loc>
            <image:title>Il benchmark come obiettivo: distorsione dei ranking e rischi per l'on-premise</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/qwen3-8-27b-la-chiusura-del-loop-visivo-sposta-il-valore-on-premise</loc>
        <lastmod>2026-08-16</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/3899029259-qwen3-8-27b-la-chiusura-del-loop-visivo-sposta-i.jpg</image:loc>
            <image:title>Qwen3.8-27B: la chiusura del loop visivo sposta il valore on-premise</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/lemonade-11-6-il-segnale-e-nel-runtime-non-nel-modello</loc>
        <lastmod>2026-08-15</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/2156512442-lemonade-11-6-il-segnale-nel-runtime-non-nel-mod.jpg</image:loc>
            <image:title>Lemonade 11.6: il segnale è nel runtime, non nel modello</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/doom-dentro-un-llm-il-checkpoint-che-sposta-il-vincolo-dal-software-alla-vram</loc>
        <lastmod>2026-08-14</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/1235118756-doom-dentro-un-llm-il-checkpoint-che-sposta-il-v.jpg</image:loc>
            <image:title>Doom dentro un LLM: il checkpoint che sposta il vincolo dal software alla VRAM</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/rtx-pro-6000-a-16-000-dollari-il-calcolo-on-premise-non-e-piu-scontato</loc>
        <lastmod>2026-08-13</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/77169460-rtx-pro-6000-a-16-000-dollari-il-calcolo-on-prem.jpg</image:loc>
            <image:title>RTX PRO 6000 a 16.000 dollari: il calcolo on-premise non è più scontato</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/l-archivio-batte-la-generazione-il-segnale-di-llm-agents-factory-per-l-inference-on-premise</loc>
        <lastmod>2026-08-12</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/475543745-l-archivio-batte-la-generazione-il-segnale-di-ll.jpg</image:loc>
            <image:title>L'archivio batte la generazione: il segnale di LLM Agents Factory per l'inference on-premise</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/200-dollari-bastano-per-addestrare-un-llm-da-1b-la-sovranita-dei-dati-smette-di-essere-un-lusso</loc>
        <lastmod>2026-08-11</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/164680723-200-dollari-bastano-per-addestrare-un-llm-da-1b.jpg</image:loc>
            <image:title>200 dollari bastano per addestrare un LLM da 1B: la sovranità dei dati smette di essere un lusso</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/deepseek-genera-il-kernel-che-mancava-il-mac-studio-come-laboratorio-di-inference-autonoma</loc>
        <lastmod>2026-08-09</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/2243025245-deepseek-genera-il-kernel-che-mancava-il-mac-stu.jpg</image:loc>
            <image:title>DeepSeek genera il kernel che mancava: il Mac Studio come laboratorio di inference autonoma</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/intel-battlemage-e-llama-cpp-una-patch-riscrive-il-tco-dell-inference-on-premise</loc>
        <lastmod>2026-08-08</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/2637135182-intel-battlemage-e-llama-cpp-una-patch-riscrive.jpg</image:loc>
            <image:title>Intel Battlemage e llama.cpp: una patch riscrive il TCO dell'inference on-premise</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/stack-vocale-nvidia-in-locale-implicazioni-per-l-ai-on-premise</loc>
        <lastmod>2026-08-07</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/4128120203-stack-vocale-nvidia-in-locale-implicazioni-per-l.jpg</image:loc>
            <image:title>Stack vocale NVIDIA in locale: implicazioni per l'AI on-premise</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/quando-il-compositor-diventa-un-alleato-dellai-locale-larchitettura-di-denial-e-il-nuovo-ruolo-delle-ui-on-premise</loc>
        <lastmod>2026-08-06</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/1165873837-quando-il-compositor-diventa-un-alleato-dell-ai.jpg</image:loc>
            <image:title>Quando il compositor diventa un alleato dell’AI locale: l’architettura di Denial e il nuovo ruolo de</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/maple-preview-e-linference-ternaria-la-soglia-on-premise-si-abbassa</loc>
        <lastmod>2026-08-05</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/984159562-maple-preview-e-l-inference-ternaria-la-soglia-o.jpg</image:loc>
            <image:title>Maple-Preview e l’inference ternaria: la soglia on-premise si abbassa</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/rtx-5090-oltre-5-100-dollari-quanto-costa-davvero-lai-on-premise</loc>
        <lastmod>2026-08-04</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/1112957303-rtx-5090-oltre-5-100-dollari-quanto-costa-davver.jpg</image:loc>
            <image:title>RTX 5090 oltre 5.100 dollari: quanto costa davvero l’AI on-premise</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/llm-per-il-preprocessing-dei-dati-perche-lon-premise-diventa-inevitabile</loc>
        <lastmod>2026-08-03</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/459627450-llm-per-il-preprocessing-dei-dati-perch-l-on-pre.jpg</image:loc>
            <image:title>LLM per il preprocessing dei dati: perché l’on-premise diventa inevitabile</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/quando-il-desktop-plasma-la-gpu-plasma-6-8-e-il-compositing-multi-gpu-riavvicinano-interfaccia-e-ai-locale</loc>
        <lastmod>2026-08-02</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/1351810358-quando-il-desktop-plasma-la-gpu-plasma-6-8-e-il.jpg</image:loc>
            <image:title>Quando il desktop plasma la GPU: Plasma 6.8 e il compositing multi-GPU riavvicinano interfaccia e AI</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/unsloth-porta-deepseek-v4-in-locale-il-segnale-che-mancava-per-lai-on-premise</loc>
        <lastmod>2026-08-01</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/2054826166-unsloth-porta-deepseek-v4-in-locale-il-segnale-c.jpg</image:loc>
            <image:title>Unsloth porta Deepseek V4 in locale: il segnale che mancava per l’AI on-premise</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/inkling-small-porta-il-contesto-da-1-milione-di-token-sulle-gpu-locali-ma-il-vero-collo-di-bottiglia-resta-la-memoria</loc>
        <lastmod>2026-07-31</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/1512899827-inkling-small-porta-il-contesto-da-1-milione-di.jpg</image:loc>
            <image:title>Inkling-Small porta il contesto da 1 milione di token sulle GPU locali, ma il vero collo di bottigli</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/la-fabbrica-ai-senza-cuda-di-amd-anthropic-cosa-cambia-per-chi-fa-on-premise</loc>
        <lastmod>2026-07-30</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/3387887219-la-fabbrica-ai-senza-cuda-di-amd-anthropic-cosa.jpg</image:loc>
            <image:title>La fabbrica AI senza CUDA di AMD-Anthropic: cosa cambia per chi fa on-premise</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/il-pivot-cinese-sullopen-source-un-laboratorio-per-la-sovranita-on-premise</loc>
        <lastmod>2026-07-29</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/2817165839-il-pivot-cinese-sull-open-source-un-laboratorio.jpg</image:loc>
            <image:title>Il pivot cinese sull’open source: un laboratorio per la sovranità on-premise</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/lincidente-hugging-face-mostra-il-limite-dellallineamento-servono-hardware-e-sovranita</loc>
        <lastmod>2026-07-28</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/2305580603-l-incidente-hugging-face-mostra-il-limite-dell-a.jpg</image:loc>
            <image:title>L’incidente Hugging Face mostra il limite dell’allineamento: servono hardware e sovranità</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/benvenuti-al-circo-dellia-indagare-i-veri-motori-dietro-la-frenesia-dei-modelli-di-frontiera</loc>
        <lastmod>2026-07-26</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/11291b2a-4c77-461f-8543-59f51d3f215d.png</image:loc>
            <image:title>Benvenuti al Circo dell’IA: Indagare i Veri Motori Dietro la Frenesia dei Modelli di Frontiera</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/cosa-ci-fate-davvero-con-i-piccoli-llm-il-segnale-per-lon-premise</loc>
        <lastmod>2026-07-26</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/4174552846-cosa-ci-fate-davvero-con-i-piccoli-llm-il-segnal.jpg</image:loc>
            <image:title>Cosa ci fate davvero con i piccoli LLM? Il segnale per l’on-premise</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/quantization-statisticamente-lossless-il-trade-off-che-cambia-le-regole-dellon-premise</loc>
        <lastmod>2026-07-25</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/1883714905-quantization-statisticamente-lossless-il-trade-o.jpg</image:loc>
            <image:title>Quantization statisticamente lossless: il trade-off che cambia le regole dell’on-premise</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/il-giudizio-estetico-dei-llm-e-strutturale-ecco-cosa-cambia-per-lo-stack-on-premise</loc>
        <lastmod>2026-07-24</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/600642532-il-giudizio-estetico-dei-llm-strutturale-ecco-co.jpg</image:loc>
            <image:title>Il giudizio estetico dei LLM è strutturale: ecco cosa cambia per lo stack on-premise</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/lo-spettro-delle-sanzioni-sullopen-source-ai-perche-lon-premise-trema</loc>
        <lastmod>2026-07-23</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/2162428729-lo-spettro-delle-sanzioni-sull-open-source-ai-pe.jpg</image:loc>
            <image:title>Lo spettro delle sanzioni sull’open source AI: perché l’on-premise trema</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/unsloth-quantizza-laguna-s-2-1-un-nuovo-tassello-per-lai-locale-e-sovrana</loc>
        <lastmod>2026-07-22</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/2648371746-unsloth-quantizza-laguna-s-2-1-un-nuovo-tassello.jpg</image:loc>
            <image:title>Unsloth quantizza Laguna S 2.1: un nuovo tassello per l’AI locale e sovrana</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/lon-premise-accelera-mentre-i-modelli-usa-si-blindano-sovranita-e-tco-ridisegnano-la-corsa-ai</loc>
        <lastmod>2026-07-21</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/1006451269-l-on-premise-accelera-mentre-i-modelli-usa-si-bl.jpg</image:loc>
            <image:title>L’on-premise accelera mentre i modelli USA si blindano: sovranità e TCO ridisegnano la corsa AI</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/la-convergenza-sino-americana-nell-ia-come-la-cina-sta-riscrivendo-le-regole-della-corsa-globale-agli-armamenti-nell-intelligenza-artificiale</loc>
        <lastmod>2026-07-23</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/6d8216c8-d1f4-41fb-b1d3-fb351958ed67.png</image:loc>
            <image:title>La convergenza sino-americana nell'IA: come la Cina sta riscrivendo le regole della corsa globale ag</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/llm-on-premise-perche-il-qat-e-il-vero-spartiacque-oltre-i-benchmark</loc>
        <lastmod>2026-07-19</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/3320862125-llm-on-premise-perch-il-qat-il-vero-spartiacque.jpg</image:loc>
            <image:title>LLM on-premise: perché il QAT è il vero spartiacque oltre i benchmark</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/tensor-parallel-bloccato-su-gemma-4-12b-il-self-hosting-resta-un-azzardo-per-pionieri</loc>
        <lastmod>2026-07-18</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/1268281344-tensor-parallel-bloccato-su-gemma-4-12b-il-self.jpg</image:loc>
            <image:title>Tensor parallel bloccato su Gemma 4 12B: il self-hosting resta un azzardo per pionieri</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/la-genesi-di-ramageddon-una-riallocazione-strutturale-del-silicio</loc>
        <lastmod>2026-07-22</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/68a89f31-54ba-417d-a865-aa132b0c7fcb.jpg</image:loc>
            <image:title>La genesi di Ramageddon: una riallocazione strutturale del silicio</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/xi-jinping-eleva-lai-sovrana-il-manifesto-dellinfrastruttura-on-premise</loc>
        <lastmod>2026-07-16</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/97005267-xi-jinping-eleva-l-ai-sovrana-il-manifesto-dell.jpg</image:loc>
            <image:title>Xi Jinping eleva l’AI sovrana: il manifesto dell’infrastruttura on-premise</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/psmc-alza-i-prezzi-dram-del-45-il-conto-salato-per-lai-on-premise</loc>
        <lastmod>2026-07-15</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/51294464-psmc-alza-i-prezzi-dram-del-45-il-conto-salato-p.jpg</image:loc>
            <image:title>PSMC alza i prezzi DRAM del 45%: il conto salato per l’AI on-premise</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/quando-il-regolatore-fa-il-nome-osfi-claude-e-la-spinta-irreversibile-verso-l-on-premise-bancario</loc>
        <lastmod>2026-07-14</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/3501050665-quando-il-regolatore-fa-il-nome-osfi-claude-e-la.jpg</image:loc>
            <image:title>Quando il regolatore fa il nome: OSFI, Claude e la spinta irreversibile verso l'on-premise bancario</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/flash-msa-il-training-su-un-milione-di-token-sbarca-on-premise</loc>
        <lastmod>2026-07-13</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/221818362-flash-msa-il-training-su-un-milione-di-token-sba.jpg</image:loc>
            <image:title>Flash-MSA: il training su un milione di token sbarca on-premise</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/il-bug-matematico-della-tesla-p100-tre-righe-di-codice-che-ridisegnano-il-tco-on-premise</loc>
        <lastmod>2026-07-12</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/1329314913-il-bug-matematico-della-tesla-p100-tre-righe-di.jpg</image:loc>
            <image:title>Il bug matematico della Tesla P100: tre righe di codice che ridisegnano il TCO on-premise</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/qwen3-6-a-8-bit-su-cpu-quando-la-qualita-delloutput-ridisegna-gli-investimenti-on-premise</loc>
        <lastmod>2026-07-11</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/1810179872-qwen3-6-a-8-bit-su-cpu-quando-la-qualit-dell-out.jpg</image:loc>
            <image:title>Qwen3.6 a 8 bit su CPU: quando la qualità dell’output ridisegna gli investimenti on-premise</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/meta-punta-al-coding-open-source-il-segnale-dietro-lalternativa-a-muse-spark</loc>
        <lastmod>2026-07-10</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/571883458-meta-punta-al-coding-open-source-il-segnale-diet.jpg</image:loc>
            <image:title>Meta punta al coding open source: il segnale dietro l’alternativa a Muse Spark</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/cina-lo-stop-dellh20-accelera-la-corsa-alle-gpu-domestiche-lezioni-per-lon-premise</loc>
        <lastmod>2026-07-09</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/804228170-cina-lo-stop-dell-h20-accelera-la-corsa-alle-gpu.jpg</image:loc>
            <image:title>Cina, lo stop dell’H20 accelera la corsa alle GPU domestiche: lezioni per l’on-premise</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/sovranita-dei-chip-il-dilemma-delle-big-tech-e-il-miraggio-del-silicio-sovrano</loc>
        <lastmod>2026-07-11</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/ae1abe20-38ed-4656-a256-717c4863805e.png</image:loc>
            <image:title>*Sovranità dei chip? Il dilemma delle Big Tech e il miraggio del silicio sovrano*</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/horus-hiero-il-modello-open-source-per-geroglifici-on-premise-e-su-mobile</loc>
        <lastmod>2026-07-08</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/432370745-horus-hiero-il-modello-open-source-per-geroglifi.jpg</image:loc>
            <image:title>Horus Hiero: il modello open source per geroglifici, on-premise e su mobile</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/quando-l-llm-crolla-al-quarto-turno-qwen-3-6-27b-e-l-illusione-dell-agente-self-hosted</loc>
        <lastmod>2026-07-07</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/1745652277-quando-l-llm-crolla-al-quarto-turno-qwen-3-6-27b.jpg</image:loc>
            <image:title>Quando l'LLM crolla al quarto turno: Qwen 3.6 27B e l'illusione dell'agente self-hosted</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/il-paradosso-dei-benchmark-quando-il-testa-a-testa-qwen-gemma-nasconde-la-vera-partita-on-premise</loc>
        <lastmod>2026-07-06</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/signals/3947747934-qwen3-6-27b-q8-e-cache-kv-115k-token-su-singola.jpg</image:loc>
            <image:title>Qwen3.6-27B Q8 e cache KV: 115K token su singola RTX 5090</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/la-guerra-di-sovranita-dei-modelli-di-frontiera-e-la-costellazione-chatgpt-6-6-la-risposta-adeguata-al-battaglione-ai-di-anthropic</loc>
        <lastmod>2026-06-30</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/7245ed6a-6a55-45cb-a7b5-5d91889003e3.png</image:loc>
            <image:title>La Guerra di Sovranità dei Modelli di Frontiera: È la &quot;Costellazione ChatGPT 6.6&quot; la Rispo</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/demistificare-il-trono-di-silicio-il-mac-studio-e-il-sacro-graal-per-l-ai-locale</loc>
        <lastmod>2026-06-24</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/ca7b7f6e-39d8-41d3-847f-fb8a6f0f7249.png</image:loc>
            <image:title>Demistificare il Trono di Silicio: il Mac Studio è il Sacro Graal per l'AI locale?</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/asus-ascent-gx10-recensione-completa-del-supercomputer-ai-da-scrivania</loc>
        <lastmod>2026-06-21</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/f2fa7d17-ca8a-4792-8fcb-5787129c44bb.jpg</image:loc>
            <image:title>ASUS Ascent GX10: Recensione Completa del Supercomputer AI da Scrivania</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/l-arbitraggio-del-gigawatt-la-strategia-di-elon-musk-per-i-data-center-e-un-colpo-da-maestro-di-scacchi</loc>
        <lastmod>2026-06-16</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/1a0ec836-cda4-48b4-b0ad-ba8d266fbc73.png</image:loc>
            <image:title>L'Arbitraggio del Gigawatt—La Strategia di Elon Musk per i Data Center è un colpo da 'Maestro di Sca</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/the-claude-5-blackout-geopolitical-weaponization-jailbreaks-and-the-battle-for-the-future-of-ai</loc>
        <lastmod>2026-06-13</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/84d71041-4e5f-4085-953b-f88d46cf34f8.png</image:loc>
            <image:title>The Claude 5 Blackout: Geopolitical Weaponization, Jailbreaks, and the Battle for the Future of AI</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/il-nuovo-superflyguy-dell-ai</loc>
        <lastmod>2026-06-11</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/8d46ed2d-8e98-4fca-b075-742dd2b03fd3.png</image:loc>
            <image:title>Il Nuovo &quot;Superflyguy&quot; dell'AI</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/apple-dinosauro-dell-ia-o-predatore-al-vertice</loc>
        <lastmod>2026-06-09</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/c9bce678-ef21-476f-8812-2e7a8f42a591.png</image:loc>
            <image:title>Apple: Dinosauro dell'IA o Predatore al Vertice?</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/la-rivincita-dei-mini-minimax-m3-e-la-fase-di-maturita-della-rivoluzione-open-weight</loc>
        <lastmod>2026-06-05</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/4fef437b-7cce-450d-830e-dbbd6b5c6fb8.png</image:loc>
            <image:title>La Rivincita dei Mini: MiniMax M3 è la Fase di Maturità della Rivoluzione Open-Weight?</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/la-convergenza-del-silicio-nvidia-microsoft-e-l-era-del-computing-agente-locale</loc>
        <lastmod>2026-06-02</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/ef961322-3aae-4e4a-a64c-354e217eda9c.png</image:loc>
            <image:title>La Convergenza del Silicio: Nvidia, Microsoft e l'Era del Computing Agente Locale</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/introducing-ai-portable-the-twin-site-to-ai-radar</loc>
        <lastmod>2026-05-31</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/555de1f8-dbe9-45f3-9ec8-4667ecc63d63.png</image:loc>
            <image:title>Introducing AI-Portable, the Twin Site to AI-Radar**</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/ai-radar-editoriale-il-grande-esame-di-realismo-dell-ia-nel-2026</loc>
        <lastmod>2026-05-29</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/72289916-01cf-42b7-83a7-edd16e30e470.jpg</image:loc>
            <image:title>AI-RADAR EDITORIALE: IL GRANDE ESAME DI REALISMO DELL'IA NEL 2026</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/googles-agentic-hegemony</loc>
        <lastmod>2026-05-21</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/efe6c29e-62c9-4aea-ac74-2064ffc9fc94.png</image:loc>
            <image:title>Google’s Agentic Hegemony</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/agli-abbonati-di-ai-radar</loc>
        <lastmod>2026-05-19</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/3a2c8bb4-359f-4e0b-aaa8-b5fe3ad87072.jpg</image:loc>
            <image:title>Agli Abbonati di AI-Radar</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/meta-bets-big-on-ai-with-7000-employee-reorg</loc>
        <lastmod>2026-05-19</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
    </url>
    <url>
        <loc>https://ai-radar.it/article/mistral-ai-bets-on-physics-aware-models-with-emmi-ai-acquisition</loc>
        <lastmod>2026-05-19</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
    </url>
    <url>
        <loc>https://ai-radar.it/article/intel-qualcomm-and-the-high-stakes-race-for-an-nvidia-alternative</loc>
        <lastmod>2026-05-19</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
    </url>
    <url>
        <loc>https://ai-radar.it/article/anthropic-widens-vulnerability-disclosure-for-mythos-its-cybersecurity-ai</loc>
        <lastmod>2026-05-19</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
    </url>
    <url>
        <loc>https://ai-radar.it/article/standard-chartereds-ai-bet-7800-jobs-efficiency-and-the-new-bank-playbook</loc>
        <lastmod>2026-05-19</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
    </url>
    <url>
        <loc>https://ai-radar.it/article/ai-legal-verticals-heat-up-as-lexroom-secures-50m-for-civil-law-automation</loc>
        <lastmod>2026-05-19</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
    </url>
    <url>
        <loc>https://ai-radar.it/article/agentic-ai-is-coming-for-pension-funds-inside-australiansupers-bet</loc>
        <lastmod>2026-05-19</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
    </url>
    <url>
        <loc>https://ai-radar.it/article/openai-cleared-of-musk-s-claims-what-a-trillion-dollar-path-could-mean-for-ai</loc>
        <lastmod>2026-05-19</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
    </url>
    <url>
        <loc>https://ai-radar.it/article/local-llm-sub-agents-on-10gb-vram-what-this-really-unlocks</loc>
        <lastmod>2026-05-19</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
    </url>
    <url>
        <loc>https://ai-radar.it/article/mistral-doubles-down-on-industrial-ai-with-emmi-ai-acquisition</loc>
        <lastmod>2026-05-19</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
    </url>
    <url>
        <loc>https://ai-radar.it/article/amd-bets-on-malaysia-for-yotta-scale-ai-infrastructure</loc>
        <lastmod>2026-05-19</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
    </url>
    <url>
        <loc>https://ai-radar.it/article/dell-ai-factory-crosses-5000-enterprise-clients-on-nvidia-fueled-demand</loc>
        <lastmod>2026-05-19</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
    </url>
    <url>
        <loc>https://ai-radar.it/article/moonshot-ai-dismantles-vie-structure-ahead-of-potential-hong-kong-ipo</loc>
        <lastmod>2026-05-19</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
    </url>
    <url>
        <loc>https://ai-radar.it/article/monzos-digital-scale-up-profits-revenues-and-the-data-advantage</loc>
        <lastmod>2026-05-19</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
    </url>
    <url>
        <loc>https://ai-radar.it/article/malaysias-ai-first-sustainability-led-data-center-push</loc>
        <lastmod>2026-05-19</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
    </url>
    <url>
        <loc>https://ai-radar.it/article/ai-regulation-and-silicon-valley-s-dilemma-tax-control-and-the-on-prem-pivot</loc>
        <lastmod>2026-05-19</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
    </url>
    <url>
        <loc>https://ai-radar.it/article/hypershells-50m-bet-that-consumer-exoskeletons-are-ready-to-scale</loc>
        <lastmod>2026-05-19</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
    </url>
    <url>
        <loc>https://ai-radar.it/article/barclays-humanoid-robots-and-chinas-shrinking-workforce</loc>
        <lastmod>2026-05-19</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
    </url>
    <url>
        <loc>https://ai-radar.it/article/feldwerkes-eur12m-revolving-credit-accelerates-100-mw-of-agri-pv-in-germany</loc>
        <lastmod>2026-05-19</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
    </url>
    <url>
        <loc>https://ai-radar.it/article/ai-personalization-targets-b2b-events-as-exhibitly-raises-eur1-4m</loc>
        <lastmod>2026-05-19</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
    </url>
    <url>
        <loc>https://ai-radar.it/article/lo-scontro-finale-dell-framework-cloud-e-vps-nel-2026</loc>
        <lastmod>2026-05-18</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/9b611e94-8c51-454c-8b14-79fcfbf03859.png</image:loc>
            <image:title>Lo Scontro Finale dell'Framework Cloud e VPS nel 2026</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/the-2026-cloud-infrastructure-vps-battle-royale</loc>
        <lastmod>2026-05-18</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/44d4fd59-879b-45af-9e8d-dddb8a4419af.png</image:loc>
            <image:title>The 2026 Cloud Infrastructure &amp; VPS Battle Royale</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/la-battaglia-reale-dell-framework-cloud-e-dei-vps-nel-2026</loc>
        <lastmod>2026-05-18</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/39f0ac8e-1bec-4218-aa59-b6a2944f0051.png</image:loc>
            <image:title>La Battaglia Reale dell'Framework Cloud e dei VPS nel 2026</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/beyond-the-chatbot-machinaos</loc>
        <lastmod>2026-05-16</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/5547e6ce-e83e-4ee7-afc1-d8aa26937f0d.png</image:loc>
            <image:title>Beyond the Chatbot: MachinaOS</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/cosa-sta-succedendo-a-openai-un-analisi-approfondita-del-paradosso-del-gigante-dell-ia-nel-2026</loc>
        <lastmod>2026-05-13</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/d077ef64-8504-441f-9d41-a44991e7ae0e.png</image:loc>
            <image:title>Cosa sta succedendo a OpenAI? Un'analisi approfondita del paradosso del gigante dell'IA nel 2026</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/il-drago-nella-sala-server-deepseek-e-la-cura-per-l-aumento-dei-prezzi-di-copilot</loc>
        <lastmod>2026-05-12</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/d524595e-91fe-4591-b075-efbf8c073725.png</image:loc>
            <image:title>Il Drago nella Sala Server: DeepSeek è la cura per l'aumento dei prezzi di Copilot?</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/il-dilemma-di-vs-code</loc>
        <lastmod>2026-05-08</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/9141f8cb-3523-487b-9ebe-9580fc1630fe.jpg</image:loc>
            <image:title>Il Dilemma di VS Code</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/machinaos-a-new-approach-to-automation-at-https-machinaos-ai</loc>
        <lastmod>2026-05-06</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/1e425509-62f0-424e-95f7-d59f9c7e8b3a.png</image:loc>
            <image:title>MachinaOS: A New Approach to Automation at https://machinaos.ai</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/kawaii-gpt-prompt-injection-e-l-emergenza-di-sicurezza-ai-nel-2026</loc>
        <lastmod>2026-05-02</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/a1ba03a5-da72-4863-ab78-bfffe2d4e6c9.webp</image:loc>
            <image:title>Kawaii GPT, Prompt Injection e l'Emergenza di Sicurezza AI nel 2026</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/the-sovereign-developer-surviving-the-great-token-squeeze-of-2026</loc>
        <lastmod>2026-04-29</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/5dc36d4f-67c0-4c3f-ac3f-9bd0893b8b3c.jpg</image:loc>
            <image:title>Lo Sviluppatore Sovrano: Sopravvivere alla Grande Stretta sui Token del 2026</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/la-grande-battaglia-di-ui-design-dell-ia-del-2026-versione-video</loc>
        <lastmod>2026-04-26</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
    </url>
    <url>
        <loc>https://ai-radar.it/article/la-grande-guerra-delle-ui-del-2026</loc>
        <lastmod>2026-04-23</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/1f4049bf-0c7c-4670-a366-1f195c6ace99.png</image:loc>
            <image:title>La Grande Guerra delle UI del 2026</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/il-mito-di-claude-mythos-e-l-avvento-di-opus-4-7</loc>
        <lastmod>2026-04-17</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/7c5c2681-a2db-4653-b1c2-e235bcd5ae94.jpg</image:loc>
            <image:title>Il Mito di Claude Mythos e l'Avvento di Opus 4.7</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/let-s-automate</loc>
        <lastmod>2026-04-15</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/c6e1a887-4c2b-434a-9172-a5e52517f0d4.jpg</image:loc>
            <image:title>Let's Automate!</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/la-grande-divisione-hardware-nell-ai-airllm-e-il-giusto-sostituto-per-la-quantization</loc>
        <lastmod>2026-04-11</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/d4a4719c-e6a3-40dc-bb4c-39984789a41c.jpg</image:loc>
            <image:title>La Grande Divisione Hardware nell'AI: AirLLM è il Giusto Sostituto per la Quantization?</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/il-grande-divario-hardware-dell-ia-airllm-e-il-sostituto-giusto-per-la-quantization</loc>
        <lastmod>2026-04-11</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/6c850b66-f8ea-460d-b40f-d65f26804184.jpg</image:loc>
            <image:title>Il Grande Divario Hardware dell'IA: AirLLM è il Sostituto Giusto per la Quantization?</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/il-grande-divario-hardware-dell-ia-airllm-e-il-giusto-sostituto-per-la-quantization</loc>
        <lastmod>2026-04-11</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/a5e17991-9c91-4407-9d81-1bf13e81bcbd.jpg</image:loc>
            <image:title>Il Grande Divario Hardware dell'IA: AirLLM è il Giusto Sostituto per la Quantization?</image:title>
        </image:image>
    </url>
    <url>
        <loc>https://ai-radar.it/article/l-illusione-del-gratis-e-la-realta-del-silicio-video-version</loc>
        <lastmod>2026-04-08</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
    </url>
    <url>
        <loc>https://ai-radar.it/article/llm-on-premise-l-illusione-del-gratuito-e-la-realta-del-silicio</loc>
        <lastmod>2026-04-06</lastmod>
        <changefreq>monthly</changefreq>
        <priority>0.5</priority>
        <image:image>
            <image:loc>https://ai-radar.it/static/uploads/5588702f-0875-4f67-a10b-bb50113ef83a.jpg</image:loc>
            <image:title>LLM On-Premise: L'illusione del &quot;gratuito&quot; e la realtà del silicio</image:title>
        </image:image>
    </url>
</urlset>