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cogman10today at 1:10 AM1 replyview on HN

The newer models don't require more/better hardware. There's a small army of local llm enthusiasts who are running LLMs using 3090s and H100s because they have lots of memory. Them being old isn't really that big of an issue as the compute power needed is relatively low all things considered.

The number of parameters needed for these open weight models has mostly stabilized so the actual memory requirements aren't likely to change all that much.


Replies

dannywtoday at 3:27 AM

Correct. The main bottleneck with LLM inference is, and have always been, memory bandwidth.

TPS = active weights in GB / your memory bandwidth.

That’s it for decode. That’s all.