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technoabsurdist

HN member
Joined
Mon, Aug 28, 2023, 9:14 PM UTC
HN karma
52
Public activity
59 items

About technoabsurdist

co-founder at herdora. cs&math student at uchicago.

Recent public activity

  1. comment
    Comment #49145961

    hi I work at wafer. yes we ran benchmarks. for example our Kimi K3 is live on open router and in order to host there you have to run accuracy checks. like tau/gpqa. and then u must…

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    Comment #48782959

    sounds good feedback taken, thanks beffjezos

  3. comment
    Comment #48782484

    hi yes it’s not optimized for single stream it’s optimized for total node throughput

  4. comment
    Comment #48781541

    this is exactly our thesis at wafer :) thank you for the support

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    Comment #48781534

    AMD MI355X uses 1,400W per GPU and NVIDIA B200 uses 1,200W. So AMD uses about 16% more power.

  6. comment
    Comment #48781393

    yes it is 213 tok/s single stream (so per user)

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    Comment #48781390

    hi i work at wafer. no the margins are lower averaging at about ~40%. utilization is one of the highest order bits in determining margins here, yes.

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    Show HN: Wafer – Profile, inspect assembly, and iterate on CUDA within your IDE

    Hi HN, I’m Emilio. We’re launching the Wafer extension for the popular IDEs (VS Code, Cursor and Antigravity). Wafer exists to make performance engineers more efficient. Most of th…

  10. story
    Show HN: GPU Profiling That's Useful in 60 Seconds

    Hey HN! We're building a profiler for ML inference that actually shows what's happening at the hardware level without having to manually parse through flame graphs, or set up nsys …

  11. story
    Show HN: We made PyTorch profiling usable for ML engineers

    If you've ever tried to profile PyTorch or other Python code, you know that it can be painful to setup right. Nsight profiler is great, but it feels like using a sledgehammer to ha…

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  13. comment
    Comment #44567461

    ^ We currently just have llama3.1-8b, so we'll be working on adding more models across more hardware options!

  14. comment
    Comment #44567455

    We just launched Chip Benchmark, an open-source tool for hardware-centric benchmarking of open-weight LLMs across accelerators like NVIDIA A100/H100/L40S and AMD MI300X. It measure…

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  17. comment
    Comment #44463018

    We've been doing lots of GPU kernel profiling and optimization on cloud infrastructure, but without local GPU hardware, that meant constant SSH juggling: upload code, compile remot…

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    Show HN: Profile GPU Kernels with One Command, Zero GPU Setup

    We've been doing lots of GPU kernel profiling and optimization on cloud infrastructure, but without local GPU hardware, that meant constant SSH juggling: upload code, compile remot…

  20. story
    Show HN: Chisel – Profile GPU Kernels Without a GPU (Nvidia and AMD)

    We built Chisel to make GPU kernel profiling hardware-free. It lets you run chisel profile kernel.cu and get full Nsight/Ncompute or rocprofv3 reports without a GPU needed. It spin…

  21. comment
    Comment #44373918

    oh yeah, in my experience anything below ROCm6.x really sucks. I tried to run qwen2.5-32B on ROCm5.x and it was running at Have you tried running any sort of LLM inference on your …

  22. story
    Ask HN: Is anyone using AMD GPUs for their AI workloads?

    ^ title. I've been renting MI300Xs coz they are cheaper than H100s and my experience has been generally OK (smoother than i expected based on people shitting on AMD so much online)…

  23. story
    Show HN: Chisel – GPU development through MCP

    We've been running lots of experiments on AMD MI300Xs. The price/performance is compelling compared to NVIDIA, and ROCm is finally usable. But, no local hardware means constant SSH…

  24. story
    Show HN: Chisel – Profile AMD MI300X kernels locally

    We've been running lots of AMD MI300X experiments lately. The price/performance is compelling compared to NVIDIA, and ROCm keeps getting better. But, no local AMD hardware means co…

  25. comment
    Comment #44348413

    correct github link: https://github.com/Herdora/chisel