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ml-accelerator
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Records of experiments testing the reproducibility of LLM workloads on datacenter GPUs. Key novelty: Non-associativity is a "fingerprint" of an inference stack and implementation.
gpu parallel-computing numerical-analysis proof-of-work ai-governance ai-verification ml-accelerator non-associative-addition ml-reproducibility
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Updated
Nov 30, 2025 - Jupyter Notebook
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