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  • Joined Jul 6, 2026

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  1. structural-gpu-waste structural-gpu-waste Public

    Structural GPU waste analysis for LLM inference. Real Azure production data. 64% structural waste proven

    Python

  2. CoolingCube-deepseek-r1-gpu-waste CoolingCube-deepseek-r1-gpu-waste Public

    GPU waste in reasoning model inference. DeepSeek-R1: 44% structural waste, $477k/month. Measured from Alibaba's NSDI 2026 production data

    Python

  3. acmetrace-gpu-waste acmetrace-gpu-waste Public

    34–40% of GPU jobs fail. 49% of reserved GPU time is idle inside running jobs. Measured from Shanghai AI Lab production cluster (NSDI 2024).

    Python

  4. Coolingcube-multi-config-demo- Coolingcube-multi-config-demo- Public

    Here's a demo showing the range of structural waste findings across six typical deployment shapes, chatbot, code assistant, reasoning API, etc. All illustrative data, same methodology used on the r…

    Python