Two questions before you run a local LLM: does it fit, and how fast is it really?
I keep seeing the same two failures when people try to run a model locally. The first is buying or allocating hardware that cannot hold the model plus its context. The second is trusting a single tokens/s number that was measured under completely different conditions. This is not a product pitch. I…
Read the full story at DEV Community — Machine Learning ↗
Timeline · 1 report
- 2026-10-17 01:02 · DEV Community — Machine Learning
Two questions before you run a local LLM: does it fit, and how fast is it really?