📁 General

This comparison matrix presents decision axes, trade-offs, and constraints solely for evaluation purposes. It does not constitute a recommendation, endorsement, or ranking of deployment models. Final decisions should be guided by your organization's specific requirements, regulatory context, and risk tolerance.

Improved support for mobiles and tablets. I invite you to test it and leave me feedback.

The LLMOnPremise M2 update introduces a decision framework for enterprise AI deployment, replacing prescriptive recommendations with constraint analysis. It features strategic decision tools, deep-dive scenarios, an expanded hardware matrix, and a scenario-aware "Ask" mode, catering to solution architects, DevOps engineers, and compliance leads.

Trends and Signal Radar are available.

Fine-Tune 100+ LLMs without writing a single line of code!

Boris Cerny, the mind behind Claude Code, shares his workflow organization in a link on X.

First article for ai-radar.it, welcoming readers and apologizing for the delay in publishing. The app aims to provide AI-related news in multiple languages, focusing on running LLMs locally. The author will share personal experiences and reliable information, with a future review of the GMktec Evo X2 mini PC.