Running an LLM Locally on a 16GB Consumer GPU: Why It Suddenly Matters in 2026
Running a serious LLM on your own hardware is no longer a lab exercise. I put a 16GB consumer GPU through a 35-billion-parameter Mixture-of-Experts model with 262,000 tokens of context, and the agentic tool-calling came out 100% reliable. This is the strategic half of the story: why local inference turned from a hobby into architectural insurance in 2026, after a frontier model was suspended worldwide by government order. The hard numbers live in the companion deep-dive. Continua a leggere
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