Ultrafast machine learning on FPGAs via Kolmogorov-Arnold Networks

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aag2718 about 4 hours ago 15 commentsRead Article on aarushgupta.io

https://web.archive.org/web/20260609200156/https://aarushgup...

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Discussion (15 Comments)Read Original on HackerNews

mikeayles•about 2 hours ago

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?

ag2718•about 2 hours ago

You're correct that this work is not very applicable for LLMs and that the focus here is primarily on latency.

cwmoore•11 minutes ago

took long enough

RantyDave•about 3 hours ago

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??

ag2718•about 3 hours ago

Yes, this work is focused on accelerating very small models, typically for real-time systems that require extremely low power or low latency.

One primary application of this work is in high-energy physics (https://home.cern/smarter-decisions-at-the-speed-of-collisio...). Ultrafast and real-time learning is also very applicable for problems in quantum computing, plasma control, etc. (https://arxiv.org/pdf/2602.02005).

poly2it•about 3 hours ago

I'm not in HFT, but I assume this is also an interesting applicable domain?

UltraSane•about 2 hours ago

The author actually works at Jane Street.

ag2718•about 3 hours ago

Yes, definitely: this type of work is applicable in domains where software run on general-purpose processors cannot meet latency or power requirements.

tomrod•about 2 hours ago

Happy to hear that KANs continue to find solid footing.

Animats•about 3 hours ago

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.

throwaw12•about 3 hours ago

he is already at Jane Street

Animats•about 3 hours ago

Of course.

babelfish•about 3 hours ago

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

ag2718•about 3 hours ago

Hmm the post is still up for me?

dang•about 2 hours ago

For us too, but we'll put the archive link in the toptext since these things seem to vary a lot by region.

p.s. Thanks for posting this and welcome to HN!