What's exciting is that there's still so much room for improvement. We benchmark around 5K total tokens/s with the sharegpt dataset and 12K total token/s with random 2000/100, using vLLM and under high concurrency.

DeepSeek-V3/R1 Inference System Overview [2] quotes "Each H800 node delivers an average throughput of 73.7k tokens/s input (including cache hits) during prefilling or 14.8k tokens/s output during decoding."

Yes, DeepSeek deploys a different inference architecture. But this goes onto show just how much room there is for improvement. Looking forward to more open source!

[1] https://developers.redhat.com/articles/2025/03/19/how-we-opt...

[2] https://github.com/deepseek-ai/open-infra-index/blob/main/20...

> Codebase Divergence: Our engine is based on an early fork of vLLM from over a year ago. Although structurally similar, we’ve heavily customized it for DeepSeek models, making it difficult to extend for broader use cases.

I've been there. Probably a few of us have.

Their approach of working on splitting out maintainable sublibraries and sharing info directly even if not integrated seems a really nice way of working with the community -- ie, they have obstacles, but they're not letting the obstacles cause them to take the easy route of not contributing at all. And while it might seem better to someone wanting to use their techniques to share only working code, not info on the techniques, at least it's still knowledge sharing. And again I think it'd be easier for them not to do it. So kudos to them.

Why did Google published the Transformer architecture instead of keeping it to themselves?

I understand that people may want to do good things for humanity, facilitate progress, etc. But if an action goes against commercial interest, how can the company management take it and not get objections from shareholders?

Or there is a commercial logic that motivates sharing of information and intellectual property? What logic is that?

Plenty of companies are in this position.

Please just open source anyway with a note saying "we won't be maintaining this, but feel free to fork!"

Kind of like how biological information is always trying to find new places to reproduce itself. Viruses and fungi do not come with Toss and EULAs. :)

The incidence of bugs, it not understanding what you're asking or just generating code that is straight up wrong is much worse. Even with guidance it will often be unable to fix issues, leaving you to do all the manual legwork to get things working. Usually you're better off just having done everything yourself from the start.

During those two months they really improved GPT as well, its generation speed is now much much faster, and the quality of its output has become a lot better.

I sometimes feel guilty though. With all this power, I’m just bounded by lack of ideas and execution.