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PSAP · GitHub

PSAP

Performance and Scale for AI Platforms

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  1. auto-tuning-vllm auto-tuning-vllm Public

    Auto-tuning for vllm. Getting the best performance out of your LLM deployment (vllm+guidellm+optuna)

    Python 64 18

  2. performance-dashboard performance-dashboard Public

    A comprehensive performance analysis dashboard for RHAIIS (Red Hat AI Inference server) benchmarks. This dashboard provides interactive visualizations and analysis of AI model performance across di…

    Python 6 6

  3. LLM-inference-benchmark-guide LLM-inference-benchmark-guide Public

    This repository serves as a comprehensive methodology guide for benchmarking LLM inference across a variety of hardware accelerators and inference engines.

    4

  4. llm-d-bench llm-d-bench Public

    llm-d benchmarking automation work

    Python 3

  5. forge forge Public

    Framework for Orchestrating Runtime Gen-AI Experiments

    Python 15 15

  6. fournos fournos Public

    Fournos is a Kubernetes operator that schedules benchmark jobs via Kueue and executes them as Tekton PipelineRuns on remote clusters through the FORGE framework.

    Python 14 7

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