llm theoretical performance analysis tools and support params, flops, memory and latency analysis.
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Updated
Jul 11, 2025 - Python
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gpu-performance
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Hands-on Machine Learning Infrastructure on Kubernetes. Using Microk8s/Ubuntu on Paperspace Cloud.
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Updated
Mar 2, 2024 - Python
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
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Updated
Aug 15, 2025 - Python
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