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Tag: #nvidia-b2001 results

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MXFP8 GEMM Matches 99% cuBLAS Speed

Meta/PyTorch engineer details MXFP8 GEMM kernel design in CUDA + PTX, achieving up to 99% of cuBLAS performance despite FP8 constraints. Includes deep dives into challenges and links to PyTorch integrations for DeepSeek-V3 training on B200 GPUs.

Reddit r/MachineLearningCommunityMar 30#fp8#gemm#nvidia-b200
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Cybersecurity Must Protect Physical Reality

As industrial systems, infrastructure, robots, and AI agents gain the ability to change physical conditions, cybersecurity must protect actions and outcomes—not only data and access. The article argues that future defenses need to evaluate whether an authorized action is appropriate for the current environment, state, and safety boundaries.