tldr - powered by Generative AI

• Volcano is a cloud-native batch system that provides a unified job scheduling and management solution for Kubernetes clusters.
• It is designed to be scalable, flexible, and extensible, and it supports a wide range of workloads, including machine learning, data processing, and scientific computing.
• Volcano has several features that make it a powerful tool for managing batch workloads, including job scheduling, resource management, and job dependencies.
• Volcano is used by a diverse group of users, including those in the AI and data areas, and it has a large and active community of contributors.
• Volcano integrates with a variety of other tools and platforms, including Spark, Argo, and Airflow.
• Volcano provides documentation and support for a wide range of training operators, including TensorFlow, MXNet, and MPI.

tldr - powered by Generative AI

• Volcano is a cloud-native batch system for intelligent workloads such as HPC, AI, and big data
• It addresses gaps in the cloud-native ecosystem for batch workloads, including job management, scheduling, support for different workloads, dynamic resource scheduling, and performance
• Volcano includes several components for multi-cloud scenarios, such as the job, queue, and controller
• Volcano scheduler is built based on the cool batch, but introduces more scheduling algorithms and performance enhancements
• Volcano was open-sourced in 2019 and donated to CNCF in 2020, and is now a graduated incubator project