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technoabsurdist

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  1. AI Could Democratize One of Techs Most Valuable Resources (wired.com)
    6 points 2
  2. Show HN: Wafer – Profile, inspect assembly, and iterate on CUDA within your IDE (wafer.ai)

    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 the work perf engs do is extracting…

    3 points 2
  3. Show HN: GPU Profiling That's Useful in 60 Seconds (keysandcaches.com)

    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 and ncu. The problem: Current ML…

    1 points 0
  4. Show HN: We made PyTorch profiling usable for ML engineers (herdora.mintlify.app)

    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 hang a picture frame when you're coming…

    3 points 0
  5. Chip Benchmark: Hardware-Centric Performance Insights for AI Workloads (herdora.com)
    1 points 0
  6. ChipBenchmark: Open-Source Benchmarking for LLM Performance Across Hardware (chipbenchmark.com)
    3 points 1
  7. Using AMD MI300X for High-Throughput, Low-Cost LLM Inference (herdora.com)
    8 points 0
  8. Profile CUDA kernels with one command, zero GPU setup (github.com)
    3 points 1
  9. Show HN: Profile GPU Kernels with One Command, Zero GPU Setup (github.com)

    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 remotely, profile kernels, download results,…

    2 points 0
  10. Show HN: Chisel – Profile GPU Kernels Without a GPU (Nvidia and AMD) (github.com)

    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 spins up remote H100, L40S, or MI300X…

    3 points 0
  11. 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). ROCm 6.x seems decent out of the box…

    5 points 2
  12. Show HN: Chisel – GPU development through MCP (github.com)

    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 juggling. Upload code, compile…

    1 points 0
  13. Show HN: Chisel – Profile AMD MI300X kernels locally (github.com)

    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 constant SSH juggling. Upload code,…

    2 points 0
  14. Show HN: Chisel – AMD GPU development that feels local but runs in the cloud (pypi.org)

    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 constant SSH juggling. Upload code,…

    2 points 2
  15. Crackd – unbiased technical skill comparison among students (crackd.io)
    2 points 1
  16. Show HN: Molecule-Rs – A Fast Protein Visualization Engine Written in Rust (molecule-rs.vercel.app)

    rust-based molecular structure toolkit with webassembly integration for high-performance 3d visualization and analysis in the browser. parses PDB files, processes molecular structures, and renders interactive 3d models…

    4 points 0
  17. Show HN: Molecule-Rs – A Fast Protein Visualization Engine Written in Rust (technoabsurdist.github.io)
    2 points 1
  18. Kojo (The Duolingo for Coding) (thekojoapp.com)
    1 points 2
  19. git-autocommit: CLI tool for automatic, concise commit messages (github.com)
    1 points 1
  20. YouTube Transcriptions with AI-Generated Summaries (transcript-ai-iota.vercel.app)
    5 points 5
  21. 1 points 0
  22. Find Good Podcasts (find-good-podcasts.vercel.app)
    1 points 1
  23. Convert ArXiv Papers into multi-chapter Podcasts (Next.js app) (github.com)
    1 points 1
  24. 1 points 1
  25. YB <> LLMs API (github.com)
    1 points 1