Project-HAMi/HAMi

Tensor Fusion is a state-of-the-art GPU virtualization and pooling solution designed to optimize GPU cluster utilization to its fullest potential.

Run:ai is the AI workload orchestration platform for Kubernetes. This monorepo contains the control plane services, in-cluster Kubernetes operator/controllers, shared libraries and clients, the installer, and the local dev environment.

Open-source GPU resource management and observability platform for Kubernetes, built on HAMi.

KAI Scheduler is an open source Kubernetes Native scheduler for AI workloads at large scale

Device-plugin for volcano vgpu which support hard resource isolation

Collection of tools and examples for managing Accelerated workloads in Kubernetes Engine

Easier than K8s to lift and lower the gpu number of docker container and scale capacity size of volume.

Crater is a cloud-native AI training & inference platform.

Cloud-native AI infrastructure for teams to run, schedule, and monitor AI workloads on GPU-enabled Kubernetes clusters, from data preparation to distributed training, fine-tuning, and inference.