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embeded-systems

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jetson-orin-matmul-analysis

Scientific CUDA benchmarking framework: 4 implementations x 3 power modes x 5 matrix sizes on Jetson Orin Nano. 1,282 GFLOPS peak, 90% performance @ 88% power (25W mode), 99.5% accuracy validation, edge AI deployment guide.

  • Updated Oct 14, 2025
  • Python

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