Viewing profile — jakestevens2
jakestevens2
HN member- Joined
- Sat, Oct 05, 2019, 6:39 PM UTC
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About jakestevens2
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Comment #47377991
Nice! But that doesn’t answer the question. Do these optimizations don’t scale to multi-device workloads or not?
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Comment #47371671
Since you're using GH200s for these optimizations you're restricted to single device workloads (since GH series are SOC architecture). Kimi K2 (and many other large MoE models) req…
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Comment #44973893
See my other comments about static profiling of kernels. There are ways of improving the search that keep runtime at the heart of it.
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Comment #44968045
See my comment on a deeper thread about this. Eventually we will implement static profiling for common kernels so the search doesn't actually have to manually run all of them; many…
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Comment #44968026
Not today but we will implement memoization of kernels for each hardware backend, yes.
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Comment #44965063
Met the CEO of Zed. Very humble and deeply technical. Glad to see they're doing well!
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Comment #44964462
You can also set a time budget for how long you'd like the search to run for to avoid wasting time on diminishing returns.
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Comment #44964431
That depends on the model architecture and how it was written since that informs the size of the search space. The typical range is 10 mins to 10 hours. It won't be fast but you on…
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Comment #44964017
Your description is exactly right. We create a search space of all possible kernels and find the best ones based on runtime. The best heuristic is no heuristic. This obviously crea…
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How to deal with losing an early customer?
Hey all, By the title you can assume what my issue is. We operate as a SaaS product for small businesses. One of early clients was a salon. The receptionist of the salon really did…