AI infrastructure guides
In-depth, vendor-neutral reference guides for choosing, building and running LLMs locally and on-premise. Written for engineers, architects and decision-makers.
📥 Free resources
Hardware & cost
🎮
Best GPUs for local LLMs
VRAM tiers, value picks and what each card runs.
📐
How much VRAM for Llama 70B
The sizing formula, quantization and KV-cache.
🧮
KV-cache & context memory math
Why long context eats VRAM — the real formula.
💸
Cost of running LLMs locally
Full TCO, worked example and the break-even.
⚡
RunPod vs Vast.ai
GPU cloud compared: price, reliability, production.
🗜️
LLM quantization explained
GGUF vs GPTQ vs AWQ; quality vs size.
Deploy & methods
🛠️
Local LLM software stack
Ollama vs LM Studio vs vLLM: prototype to production.
⚖️
Ollama vs LM Studio
The head-to-head: which local LLM runner, and when.
🏎️
vLLM vs llama.cpp vs TGI vs SGLang
The serving showdown: throughput, batching, which to pick.
🧩
RAG vs fine-tuning
Knowledge vs behavior — which to use, and when to combine.
🏢
Private ChatGPT for your company
Architecture, model, RAG, hardware and security.
On-premise & compliance
⚖️
On-premise vs cloud AI
Cost, control, compliance and the hybrid model.
🛡️
EU AI Act & on-premise
Risk tiers, GPAI rules and a compliance checklist.
🇮🇹
On-premise LLMs for the Italian SMB
GDPR, budgets (€3k–€30k) and build-vs-API break-even.
Step-by-step tutorials
🖥️
Install Ollama + Open WebUI on Windows
Your private ChatGPT-style assistant in 20 minutes.
BEGINNER · 20 MIN
🏭
Serve your team with vLLM in Docker
Production API + chat UI on one 24GB GPU.
INTERMEDIATE · 40 MIN
⌨️
Local coding assistant in VS Code
Continue + Cline + Ollama: private Copilot, zero subscription.
BEGINNER · 30 MIN
💬
Build a private RAG chatbot
FastAPI + ChromaDB — the exact stack behind this site's Ask.
INTERMEDIATE · 90 MIN
🧬
Fine-tune with QLoRA on 24GB
Dataset → training → GGUF → Ollama, with honest evaluation.
ADVANCED · 2 H
Looking for a specific model, or the full enterprise picture?
🚀 Run models locally → 💾 On-premise LLM observatory →