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power-efficiency

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cmontemuino / amd-mi300x-ml-benchmarks

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Comprehensive machine learning benchmarking framework for AMD MI300X GPUs on Dell PowerEdge XE9680 hardware. Supports both inference (vLLM) and training workloads with containerized test suites, hardware monitoring, and analysis tools for performance, power efficiency, and scalability research across the complete ML pipeline.

machine-learning deep-learning pytorch performance-analysis gpu-computing rocm hardware-monitoring gpu-monitoring distributed-training gpu-performance amd-gpu gpu-parallelism vllm power-efficiency llm-benchmarking containerized-testing ai-infrastructure dell-poweredge amd-mi300x scalability-testing
  • Updated Aug 15, 2025
  • Python

cmontemuino / amd-mi300x-research-data

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Research datasets and experimental results from comprehensive ML benchmarking on AMD MI300X hardware. Contains raw telemetry, processed metrics, and reproducible analysis artifacts from both inference and training workloads, supporting research and comparative studies.

deep-learning reproducible-research gpu-computing benchmark-data vllm ai-hardware power-efficiency research-dataset dell-poweredge amd-mi300x
  • Updated Aug 9, 2025

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