ctuning

Collective Knowledge (CK), Collective Mind (CM/CMX) and MLPerf automations: community-driven projects to learn how to run AI, ML, and other emerging workloads more efficiently and cost-effectively across diverse models, datasets, software, and hardware using MLPerf methodology and benchmarks.

Common Meta Framework (cMeta/cX): code, data, models, scripts, workflows, agents and notes as uniform artifacts behind one CLI and one Python API - for R&D that is collaborative, reproducible, reusable, scalable, portable and sustainable. Plain files, minimal dependencies, and context an AI agent can read.

Portable, reusable AI operations powered by cMeta (cX), for collaborative and reproducible R&D: tasks, tools, programs, models and datasets that automatically detect toolchains, build, run and benchmark workloads across Linux, Windows, macOS and Android, on CPU, CUDA, ROCm and more - all behind one cx command.