Volcano

Open source

Kubernetes batch scheduling system that supports gang scheduling and queue management for ML and HPC workloads.

by Cloud Native Computing FoundationOfficial site ↗Source code ↗

Pricing: free
License: open-source
Open source: Yes

Editorial review

Volcano has not yet been editorially reviewed. User reviews and published field data below are unaffected — we say so rather than implying an editorial verdict.

Facts & attributes

Every value carries its evidence state. “—” means unknown — never a silent default (P-02).

Identity · Taxonomy

Documentation(HTTPS URL): https://volcano.sh/docs/home/introduction/Verified
Tags(open-source;cloud-native): kubernetes, batch scheduling, HPC, AI/ML, GPU, CNCFVerification pending

Platform · Deployment

Delivery model(SaaS;self-hosted;desktop;mobile;embedded;managed-cloud;appliance): self-hostedVerification pending

Pricing · Licensing

License model(proprietary;open-source;source-available;dual-license): open-sourceVerified
Pricing model(free;subscription;usage;seat;asset;transaction;revenue-share;perpetual;custom): freeVerification pending
Source repository(HTTPS URL): https://github.com/volcano-sh/volcanoVerified
SPDX license IDs(Apache-2.0;MIT): Apache-2.0Verified

Features · Product · Fit

Core capabilities(authoring;automation;analytics): Unified scheduling for Kubernetes workloads and mainstream computing frameworks (TensorFlow, Spark, PyTorch, Ray, Flink), Multi-level queue management with fine-grained resource quota control, Heterogeneous device scheduling for GPU and NPU, Network topology-aware scheduling for AI distributed training, Multi-cluster scheduling for large scale load balancing, Gang scheduling, fair-share, binpack, and NUMA-aware scheduling policiesVerification pending

Audience · Use · Case

Best for(Neutral editorial summary): Cloud-native batch and AI workload scheduling on Kubernetes with gang scheduling and heterogeneous GPU/NPU supportVerification pending
Primary use cases(build;monitor;automate): Compute-intensive batch workloads, AI distributed model training, Big data processing, LLM training and inference scheduling, Improving cluster resource utilizationVerification pending

Lifecycle · Versioning

Current version(1.12.3): v1.16.0Verified
Maintenance status(active;maintenance;deprecated;EOL;archived): activeVerification pending

Vendor · Maintainer

Vendor type(commercial;foundation;community;government;consortium;individual): foundationVerified

User reviews

Review policy

No published reviews yet.