Viewing profile — technoabsurdist
technoabsurdist
HN member- Joined
- Mon, Aug 28, 2023, 9:14 PM UTC
- HN karma
- 52
- Public activity
- 59 items
- HN profile
- View on Hacker News ↗
About technoabsurdist
Recent public activity
-
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…
-
comment
Comment #48782959
sounds good feedback taken, thanks beffjezos
-
comment
Comment #48782484
hi yes it’s not optimized for single stream it’s optimized for total node throughput
-
comment
Comment #48781541
this is exactly our thesis at wafer :) thank you for the support
-
comment
Comment #48781534
AMD MI355X uses 1,400W per GPU and NVIDIA B200 uses 1,200W. So AMD uses about 16% more power.
-
comment
Comment #48781393
yes it is 213 tok/s single stream (so per user)
-
comment
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.
- story
-
story
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…
-
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 …
-
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…
- story
-
comment
Comment #44567461
^ We currently just have llama3.1-8b, so we'll be working on adding more models across more hardware options!
-
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…
- story
- story
-
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…
- story
-
story
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…
-
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…
-
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 …
-
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)…
-
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…
-
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…
-
comment
Comment #44348413
correct github link: https://github.com/Herdora/chisel