A Cloud Native Batch System (Project under CNCF)

Volcano was accepted to CNCF on April 10, 2020 and is at the Incubating project maturity level.

Latest tweets from Volcano

Apache Spark recently released its new version, v3.3. The highlight of this version is that it provides framework support for customized Kubernetes schedulers and,uses Volcano as the default batch scheduler.

Volcano 1.6.0 is now available with new features such as elastic job management, dynamic scheduling and rescheduling based on actual resource utilization, and MPI job plugin. Don't hesitate to tell us what you want with issue. Ref:https://t.co/37VtRfmUkT

How to make resource allocation balance among users while making use of cluster resource as high as possible? Best practice in OpenI-Octopus of Pengcheng Laboratory is a good example. More details please refer to

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OpenI-Octopus: How to Avoid Resource Preemption in Kubernetes Clusters | Volcano

Volcano use case in scientific research


How to put Volcano into practice in financial field? Ruitian gives the answer. As top private equity investment firm in China, it has more than 1 year experience on make use of Volcano helping deal with larger than 300,000 tasks per day. Ref:

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How Ruitian Used Volcano to Run Large-Scale Offline HPC Jobs | Volcano

Deep introduction about the application practice cases of Volcano in the financial field


IQIYI is top online video platform with over 500 million monthly active users and nearly 6 billion hours spent on its service. DL platform is the most important infrastructure, which supports advertising, search, recommendation, NLP and other businesses.

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iQIYI:Volcano-based Cloud Native Migration Practices | Volcano

Volcano use case in deep learning and service migration