Volcano

Spec sheet

What it does

Volcano is a cloud-native system for scheduling high-performance workloads on Kubernetes.Read 5 Oct 2026 · volcano.sh

Purpose

Volcano is a cloud native system for high-performance workloads and a container batch scheduling project.Read 5 Oct 2026 · volcano.sh

Deployment

Installation options include YAML files, source code, and Helm on an existing Kubernetes cluster.Read 5 Oct 2026 · volcano.sh

Architecture limit

The documented one-click installation from source is temporarily available only for x86_64; YAML installation supports x86_64 and arm64.Read 5 Oct 2026 · volcano.sh

Colocation

It can schedule online and offline workloads in the same cluster, using resource oversubscription and isolation to improve utilization while prioritizing online workload quality of service.Read 5 Oct 2026 · volcano.sh

Community support

The project directs users to the CNCF #volcano Slack channel, a mailing list, and GitHub issues and repositories.Read 5 Oct 2026 · volcano.sh

Frameworks

It supports frameworks including Spark, TensorFlow, PyTorch, Flink, Argo, MindSpore, PaddlePaddle, and Ray.Read 5 Oct 2026 · volcano.sh

Hardware

It supports scheduling across x86, Arm, Kunpeng, Ascend, GPU, and NPU resources.Read 5 Oct 2026 · volcano.sh

Monitoring

The introduction describes logging, monitoring metrics, and a dashboard for graphical operations.Read 5 Oct 2026 · volcano.sh

Multi-cluster

The Volcano Global sub-project supports cross-cluster task distribution, resource management, and priority control.Read 5 Oct 2026 · volcano.sh

Observability

The project describes logging, monitoring metrics, and a dashboard for graphical operations.Read 5 Oct 2026 · volcano.sh

Prerequisite

The installation guide lists Kubernetes 1.12 or later with CRD support as a prerequisite.Read 5 Oct 2026 · volcano.sh

Project status

Volcano is a Cloud Native Computing Foundation incubating project.Read 5 Oct 2026 · volcano.sh

Queue management

Volcano supports multi-level queues, multidimensional resource quotas, resource inheritance, borrowing, reclaiming, and preemption.Read 5 Oct 2026 · volcano.sh

Resource management

It provides multi-level queues, resource quotas, borrowing, reclaiming, and preemption between queues.Read 5 Oct 2026 · volcano.sh

Scheduling policies

Its scheduling policies include gang, binpack, heterogeneous-device, capacity, fair-share, task-topology, and NUMA-aware scheduling.Read 5 Oct 2026 · volcano.sh

Supported architectures

The YAML installation method is available for x86_64 and arm64, while installation from source is listed as temporarily available only for x86_64.Read 5 Oct 2026 · volcano.sh

Workloads

It schedules Kubernetes workloads and batch jobs for frameworks including Spark, TensorFlow, PyTorch, Flink, Argo, MindSpore, PaddlePaddle, and Ray.Read 5 Oct 2026 · volcano.sh

Where Specifiction places it

• GPU Cluster Management Software#19 of 216.5