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@openshift-psap

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 65 20

  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 8 7

  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 17 16

  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 17 7

Repositories

Showing 10 of 86 repositories
  • serveit-studio Public

    Reserved

    openshift-psap/serveit-studio's past year of commit activity
    Python 0 Apache-2.0 1 0 1 Updated Sep 14, 2026
  • 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.

    openshift-psap/fournos's past year of commit activity
    Python 17 Apache-2.0 7 22 (1 issue needs help) 1 Updated Sep 14, 2026
  • reports Public

    Home of all PSAP reports

    openshift-psap/reports's past year of commit activity
    Python 0 0 0 0 Updated Sep 14, 2026
  • forge Public

    Framework for Orchestrating Runtime Gen-AI Experiments

    openshift-psap/forge's past year of commit activity
    Python 17 16 5 13 Updated Sep 14, 2026
  • benchconf Public

    Standard benchmark configurations used by Red Hat's Performance and Scale for AI Platforms Team

    openshift-psap/benchconf's past year of commit activity
    Python 0 Apache-2.0 1 0 1 Updated Sep 14, 2026
  • openshift-psap/openshift-psap.github.io's past year of commit activity
    CSS 0 1 0 0 Updated Sep 11, 2026
  • 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 different accelerators, versions, and configurations.

    openshift-psap/performance-dashboard's past year of commit activity
    Python 8 Apache-2.0 7 5 4 Updated Sep 9, 2026
  • inference-playbooks Public

    Playbooks for key models

    openshift-psap/inference-playbooks's past year of commit activity
    Shell 0 MIT 2 1 2 Updated Sep 9, 2026
  • psap-control-center Public

    PASP Control Center - Cluster Management & Reservation System for Performance and Scale AI Platforms

    openshift-psap/psap-control-center's past year of commit activity
    TypeScript 0 Apache-2.0 4 8 1 Updated Sep 9, 2026
  • openshift-psap/gemma4-multimodal-bench's past year of commit activity
    HTML 0 0 0 0 Updated Sep 2, 2026

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