KAI Scheduler is an open source Kubernetes Native scheduler for AI workloads at large scale
☆1,245Apr 27, 2026Updated this week
Alternatives and similar repositories for KAI-Scheduler
Users that are interested in KAI-Scheduler are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- LeaderWorkerSet: An API for deploying a group of pods as a unit of replication☆704Apr 21, 2026Updated last week
- Heterogeneous GPU Sharing on Kubernetes☆3,363Updated this week
- DRA Driver for NVIDIA GPUs☆633Updated this week
- NVIDIA GPU Operator creates, configures, and manages GPUs in Kubernetes☆2,661Updated this week
- Kubernetes enhancements for Network Topology Aware Gang Scheduling & Autoscaling☆198Updated this week
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Kubernetes-native Job Queueing☆2,469Updated this week
- ☆302Updated this week
- GPU environment and cluster management with LLM support☆659May 16, 2024Updated last year
- ☆246Updated this week
- A Datacenter Scale Distributed Inference Serving Framework☆6,634Updated this week
- A Cloud Native Batch System (Project under CNCF)☆5,494Updated this week
- Python client for the Run:ai REST API☆24Dec 15, 2025Updated 4 months ago
- A toolkit to run Ray applications on Kubernetes☆2,466Updated this week
- ☆294Apr 16, 2026Updated last week
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆354Apr 22, 2026Updated last week
- An Operator for deployment and maintenance of NVIDIA NIMs and NeMo microservices in a Kubernetes environment.☆156Updated this week
- markdown docs☆96Feb 1, 2026Updated 2 months ago
- A top-like tool for monitoring GPUs in a cluster☆85Feb 14, 2024Updated 2 years ago
- GenAI inference performance benchmarking tool☆178Updated this week
- JobSet: a k8s native API for distributed ML training and HPC workloads☆323Updated this week
- a unified scheduler for online and offline tasks☆665Mar 2, 2026Updated last month
- NVIDIA Network Operator☆331Updated this week
- Kubernetes-native AI serving platform for scalable model serving.☆315Updated this week
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Gateway API Inference Extension☆657Updated this week
- A workload for deploying LLM inference services on Kubernetes☆210Updated this week
- Repository for out-of-tree scheduler plugins based on scheduler framework.☆1,287Apr 21, 2026Updated last week
- Achieve state of the art inference performance with modern accelerators on Kubernetes☆3,069Updated this week
- MIG Partition Editor for NVIDIA GPUs☆248Updated this week
- Apache YuniKorn Core☆1,007Updated this week
- NVIDIA device plugin for Kubernetes☆3,729Updated this week
- NVIDIA GPU metrics exporter for Prometheus leveraging DCGM☆1,694Apr 7, 2026Updated 3 weeks ago
- Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes☆5,395Updated this week
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- knavigator is a development, testing, and optimization toolkit for AI/ML scheduling systems at scale on Kubernetes.☆77Apr 14, 2026Updated 2 weeks ago
- Node Resource Interface☆377Apr 15, 2026Updated 2 weeks ago
- Cost-efficient and pluggable Infrastructure components for GenAI inference☆4,756Updated this week
- HAMi-core compiles libvgpu.so, which ensures hard limit on GPU in container☆297Updated this week
- A toolkit for discovering cluster network topology.☆118Updated this week
- A QoS-based scheduling system brings optimal layout and status to workloads such as microservices, web services, big data jobs, AI jobs, …☆1,674Apr 22, 2026Updated last week
- GPUd automates monitoring, diagnostics, and issue identification for GPUs☆479Updated this week