Collective Knowledge (CK) and Common Metadata eXchange (CMX): community-driven projects to learn how to run AI, ML and other emerging workloads in a more efficient and cost-effective way across diverse models, datasets, software and hardware using MLPerf automations, CK playground and open reproducibility and optimization challenges

AML's goal is to make benchmarking of various AI architectures on Ampere CPUs a pleasurable experience :)

Automated KRAI X workflows for Google Cloud Platform

A benchmark suite to used to compare the performance of various models that are optimized by Adlik.

This repository contains automation scripts designed to run MLPerf Inference benchmarks. Originally developed for the Collective Mind (CM) automation framework, these scripts have been adapted to leverage the MLC automation framework, maintained by the MLCommons Benchmark Infrastructure Working Group.