vLLM large scale serving: DeepSeek 2.2k tok/s/h200 with wide-ep

Still have to update it for snakepit 0.11.0, but I did start a vLLM wrapper for Elixir

https://hex.pm/packages/vllm

As a user of a lot of coding tokens I’m most interested in latency - these numbers are presumably for heavily batched workloads. I dearly wish Claude had a cerebras endpoint.

I’m sure I’d use more tokens because I’d get more revs, but I don’t think token usage would increase linearly with speed: I need time to think about what I want to and what’s happened or is proposed. But I feel like I would be able to stay in flow state if the responses were faster, and that’s super appealing.

Impressive performance work. It's interesting that you still see these 40+% perf gains like this.

Makes you think that you will continue to see the costs for a fixed level of "intelligence" dropping.

Now all we need is better support for AMD gpus, both CDNA and RDNA types

Love vLLM!