Collective Knowledge Playground
We are developing the next generation of our virtual MLOps platform to help you run AI in the most efficient and cost-effective way.
Please register here to receive updates, or feel free to contact us with any questions.
Explore our past prototypes of AI/ML benchmarking analytics (2024-2025):
- See our open MLPerf dataset at HuggingFace with white paper
- See our performnace & cost analysis for AI training and inference workloads based on our open MLPerf dataset
- See our research dashboard to analyze optimal SW/HW configurations for AI workloads based on our open MLPerf dataset
Explore our legacy prototypes, developed in collaboration with cTuning, MLCommons, and ACM (2022-2025):
- Install our legacy CLI-based virtual MLOps automation framework (CM/MLC/MLCflow/MLPerf/CMX)
- Browse MLPerf and other results
- Run MLPerf via CMX (MLCommons website)
- Reuse virtual MLOps and MLPerf automations (legacy CM & MLC)
- See low-level CM/CMX Python API
Explore our community initiatives on collaborative optimization and reproducibility of AI systems:
- See our public hackathons, challenges and reproducibility events
- See our contributors and the leaderboard