Ultrafast machine learning on FPGAs via Kolmogorov-Arnold Networks

So for people wondering if it can be used to accelerate LLM inference, sadly not.

I've been trying to hit 100,000tokens/s with a 3.28m dumb model, and even this is an order of magnitude too large to benefit.

It appears to be focussed more on latency, than throughput. Happy to be corrected?

Right. But ... this would limit you to either extremely small models or extremely large FPGA's, yes? If there's a simple machine learning task that requires a sub microsecond latency I can see the point but otherwise??

Happy to hear that KANs continue to find solid footing.

This guy will be hired by a high-frequency trading firm, and the next time we hear about him, he will have a net worth in 9 figures.

Archive link, as it looks like the original post was taken down: https://web.archive.org/web/20260609200156/https://aarushgup...

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