# volcano-sh/volcano

A Cloud Native Batch System (Project under CNCF)

Repository: https://github.com/volcano-sh/volcano
Canonical: https://ross.abutalabs.com/products/volcano
Homepage: https://volcano.sh
Language: Go
License: Apache-2.0
License Family: permissive
Topics: batch-systems, kubernetes, golang, hpc, bigdata, machine-learning, gene, ai, serving, training
Last push: 2026-08-26T08:22:29+00:00

## Health v2 (maintenance only)
Score: 98/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 95, longevity 100
- inputs: {"age_days": 2729, "days_push": 7, "days_rel": 34, "gap_med": 22.0, "n_releases_24m": 25}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5899, forks 1506 (observed 2026-08-28T04:09:32.069974+00:00)

## What it is
Volcano is a CNCF-hosted, Kubernetes-native batch scheduling system that extends kube-scheduler for high-performance workloads like AI/ML training, big data, and HPC. It provides gang scheduling, queue management, heterogeneous GPU/NPU scheduling, and multi-cluster scheduling with integrations for frameworks such as TensorFlow, PyTorch, Spark, Flink, and Ray.

## Use cases
- run distributed PyTorch or TensorFlow training jobs on Kubernetes with gang scheduling
- schedule Spark and Flink batch workloads on a Kubernetes cluster
- manage GPU sharing and heterogeneous device scheduling for AI workloads
- implement multi-level queue and resource quota management for batch jobs
- colocate online and offline workloads to improve cluster utilization
- schedule jobs across multiple Kubernetes clusters
- run HPC and genomics workloads on Kubernetes

## When to choose
- you need gang scheduling so all pods of a distributed job start together
- you run AI/ML training, big data, or HPC batch workloads on Kubernetes
- you need fine-grained queue management, quotas, and preemption for batch jobs
- you need GPU/NPU scheduling with CUDA, MIG, or device sharing
- you want to colocate online services and offline batch jobs

## When to avoid
- you only run simple microservices with default kube-scheduler needs
- you are not using Kubernetes as your orchestration platform
- you need a lightweight single-node scheduler without cluster infrastructure

## Facets
- artifact type: service
- maturity: stable
- function: container-orchestration, scheduling, cloud, gpu-computing, workflow-automation
- domain: microservices, cloud-computing, machine-learning, big-data
- platform: go, cloud
- tags: batch-scheduling, gang-scheduling, hpc, kubernetes-scheduler, cncf, gpu-scheduling, queue-management, distributed-training, devops, kubernetes, linux, docker

## Member repositories
- volcano-sh/volcano (main) score 98

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:32.069974+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:51:19.338007+00:00, confidence not recorded.
  - readme: https://github.com/volcano-sh/volcano (fetched 2026-08-28T04:09:32.069974+00:00, sha 668945e4d2c8)
  - homepage: https://volcano.sh (fetched 2026-08-29T08:47:00.546979+00:00, sha b22fd0d81fb8)
  - site_page: https://volcano.sh/docs/Home/Introduction (fetched 2026-08-29T08:47:00.549624+00:00, sha 6d73c522decb)
  - site_page: https://volcano.sh/docs/v1.15.0/Home/Introduction (fetched 2026-08-29T08:47:00.551786+00:00, sha 4ce8e8465a65)
  - site_page: https://volcano.sh/docs/v1.14.0/Home/Introduction (fetched 2026-08-29T08:47:00.554233+00:00, sha ea4574fd4b2f)
  - site_page: https://volcano.sh/docs/v1.13.0/Home/Introduction (fetched 2026-08-29T08:47:00.556419+00:00, sha 5b70741a426b)
  - site_page: https://volcano.sh/docs/v1.12.0/Home/Introduction (fetched 2026-08-29T08:47:00.559060+00:00, sha 241f168d64dd)
  - site_page: https://volcano.sh/docs/v1.11.0/Home/Introduction (fetched 2026-08-29T08:47:00.561456+00:00, sha 94b55c0d2511)
  - site_page: https://volcano.sh/docs/v1.10.0/Home/Introduction (fetched 2026-08-29T08:47:00.563402+00:00, sha 55b2f54b8639)
  - site_page: https://volcano.sh/docs/v1.9.0/Home/Introduction (fetched 2026-08-29T08:47:00.565185+00:00, sha b824f0b3fd6b)
- Data as of 2026-08-30T08:39:29.467469+00:00.