Volcano v1.9.0 Available Now
volcano
New features: Support elastic queue capacity scheduling, Supports affinity scheduling between queues and nodes, GPU sharing feature supports node scoring scheduling, Volcano Support for Kubernetes v1.29, Enhance scheduler metrics, Add license compliance check, Improve scheduling stability, etc.
New features: Support for vGPU scheduling and isolation, support for vGPU and user-defined resource preemption capabilities, addition of JobFlow workflow scheduling engine, node load-aware scheduling and rescheduling support for diverse monitoring systems, optimization of Volcano's ability to schedule microservices, optimization of Volcano charts packages for publishing and archiving, etc.
New features: enhanced plugin for PyTorch Jobs, Ray on Volcano, enhanced scheduling for general Kubernetes services, multi-architecture images of Volcano, and optimized queue status info
ING Bank: How Volcano Empowers Their Big Data Analytics Platform
Use case description: Ruitian Capital, an investment company, uses Volcano to build their offline computing platform.
OpenI-Octopus: How to Avoid Resource Preemption in Kubernetes Clusters
Junmao Li/System Architect in Pengcheng Laboratory
Volcano use case in scientific research
Best practice of Volcano at Xiaohongshu
Deep introduction about the application practice cases of Volcano in the financial field
Deep introduction about the challenges and solutions faced by Volcano integration with Leinao Cloud OS
HPC on Volcano: How Containers Support HPC Applications in the Meteorological Industry
Zhe Jin/Senior Engineer in HUAWEI CLOUD
This article uses a traditional HPC application, the Weather Research and Forecasting (WRF) model, as an example to describe how Volcano works for HPC applications.