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Conference: KubeCon + CloudNativeCon Europe 2023
Authors: William Wang
2023-04-21
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 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.
Conference: KubeCon + CloudNativeCon North America 2022
Authors: William Wang
2022-10-26
Volcano is a system for running high-performance workloads on Kubernetes. In the year 2022, Volcano made big progress on user adoption, community development, cross-community collaborations and successfully moved to incubation level. In this talk, William will review Volcano motivation, architecture; then go through latest updates on new features, user adoptions, and new subprojects. After that William will introduce where the project is heading to, updated project roadmap and how new contributors to get involved. There will be an open Q&A for attendees to ask questions.
Conference: KubeCon + CloudNativeCon Europe 2022
Authors: Klaus Ma
2022-05-18
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 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