Why we write our own C and C++ inference engines

dennis16384•about 3 hours ago

I had a similar success with Model2Vec static embedder and NER inference (both GGUF, compiled for WASM), ported to plain C from ONNX Runtime.

Wasm size from 30Mb to 300kb and 1.5x speedup. It's definitely worth it for performance or distribution size.

piterrro•29 minutes ago

Could this vllm port be faster to install? Im starting gpu machine multiple times a day and it takes 5 minutes to set vllm up. If Inise this port that time is minimized?

scottcodie•about 2 hours ago

I did took a native c++ approach when writing a relational transformers engine (RelativeDB). My journey was pytorch -> c++ -> Triton (lang). While C++ was more performant than Triton, I couldn't afford to optimize on every gpu. I just accepted the ~15% throughput loss for my cloud service, which honestly wasn't bad for the amount of flexibility I got out of it.

But the cpp port of vllm looks great, that'd be great if you'll maintain that. I hit the same limitations with vllm.

stephbook•about 3 hours ago

Should have started with writing your own blog posts.

lelanthran•about 1 hour ago

> Should have started with writing your own blog posts.

While the page looks vibe-coded[1], the content itself does not have any AI tells. What are the tells you are seeing?

[1] Too many sites I find on HN frontpage these days slow my PC to a crawl. I assume they are all using the same autogenerated HTML, Javascrip and CSS to make animated backgrounds :-( On this specific site scrolling is laggy.

pjmlp•16 minutes ago

Same could be said for all that talk about having Claude do their work.

winter_blue•about 1 hour ago

I found the post insightful and interesting. I'm not sure it was written with AI assistance, but even if it was, I don't see that as a reason to dismiss it. For what it's worth, I spend hours everyday reading AI output and summaries.

nnevatie•about 3 hours ago

Came here to say the same. Really tiring to read these slop-infested posts, where everything has the “right shape”.

altmanaltman•about 3 hours ago

I went through the post because of your comment but it really doesn't look like AI slop. Can you please share why you feel like its slop and not written by a human? I can also say "should have started writing your own comments" to you and its unfalsifiable. Blanket accusations with no proof is not a good move really.

nnevatie•about 2 hours ago

The post is full of signs. Here's only a couple of examples:

> The method, the measurements, and what it costs us.

> That is the general shape of these wins.

> Parity is the gate, speed is the follow-up

I could go on and on, but you probably get the point. If you don't find anything funny with the above, you might have not been enough-exposed to slop.

wannabe44•about 1 hour ago

It's always hyping up something and throwing punch lines in every sentence. Normies love this shit.

adithyassekhar•about 3 hours ago

What you get: X is the A, Y is the B.

Why we write our own C and C++ inference engines

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