NVIDIA / KAI-SchedulerLinks
KAI Scheduler is an open source Kubernetes Native scheduler for AI workloads at large scale
☆1,095Updated last week
Alternatives and similar repositories for KAI-Scheduler
Users that are interested in KAI-Scheduler are comparing it to the libraries listed below
Sorting:
- NVIDIA DRA Driver for GPUs☆553Updated this week
- LeaderWorkerSet: An API for deploying a group of pods as a unit of replication☆656Updated last week
- Gateway API Inference Extension☆573Updated last week
- JobSet: a k8s native API for distributed ML training and HPC workloads☆304Updated this week
- Kubernetes enhancements for Network Topology Aware Gang Scheduling & Autoscaling☆159Updated last week
- NVSentinel is a cross-platform fault remediation service designed to rapidly remediate runtime node-level issues in GPU-accelerated compu…☆173Updated this week
- A toolkit for discovering cluster network topology.☆96Updated this week
- An Operator for deployment and maintenance of NVIDIA NIMs and NeMo microservices in a Kubernetes environment.☆146Updated this week
- Kubernetes Operator for MPI-based applications (distributed training, HPC, etc.)☆510Updated 2 weeks ago
- GenAI inference performance benchmarking tool☆141Updated last week
- ☸️ Easy, advanced inference platform for large language models on Kubernetes. 🌟 Star to support our work!☆287Updated last week
- ☆209Updated last week
- Run Slurm in Kubernetes☆355Updated last week
- MIG Partition Editor for NVIDIA GPUs☆241Updated this week
- Model Registry provides a single pane of glass for ML model developers to index and manage models, versions, and ML artifacts metadata. I…☆161Updated this week
- Run Slurm on Kubernetes. A Slinky project.☆221Updated last week
- Kubernetes-native Job Queueing☆2,282Updated this week
- Kubernetes-native AI serving platform for scalable model serving.☆198Updated this week
- A federation scheduler for multi-cluster☆61Updated last week
- Controller for ModelMesh☆242Updated 7 months ago
- NVIDIA GPU Operator creates, configures, and manages GPUs in Kubernetes☆2,526Updated this week
- GPU plugin to the node feature discovery for Kubernetes☆308Updated last year
- Module to Automatically maximize the utilization of GPU resources in a Kubernetes cluster through real-time dynamic partitioning and elas…☆680Updated last year
- Practical GPU Sharing Without Memory Size Constraints☆300Updated 10 months ago
- NVIDIA device plugin for Kubernetes☆49Updated last year
- AI Inference Operator for Kubernetes. The easiest way to serve ML models in production. Supports VLMs, LLMs, embeddings, and speech-to-te…☆1,139Updated last week
- ☆334Updated this week
- Open Model Engine (OME) — Kubernetes operator for LLM serving, GPU scheduling, and model lifecycle management. Works with SGLang, vLLM, T…☆365Updated last week
- Achieve state of the art inference performance with modern accelerators on Kubernetes☆2,429Updated this week
- GPUd automates monitoring, diagnostics, and issue identification for GPUs☆472Updated this week