Comparative benchmark of 4 LLM inference engines (HuggingFace, vLLM, AWQ, Speculative Decoding) on AMD GPU. Streamlit dashboard with real-time GPU telemetry, concurrent load testing, and throughput/latency visualization.
What is the diegormirhan/llm-inference-benchmark GitHub project? Description: "Comparative benchmark of 4 LLM inference engines (HuggingFace, vLLM, AWQ, Speculative Decoding) on AMD GPU. Streamlit dashboard with real-time GPU telemetry, concurrent load testing, and throughput/latency visualization.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.
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