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DoK Talks #78- Leverage AI, Big Data workload on Kubernetes with Volcano // Kevin (Zefeng) Wang
Manage episode 300835695 series 2865115
ABSTRACT OF THE TALK
Volcano is a system for running high-performance workloads on Kubernetes. It features powerful batch scheduling capability that Kubernetes cannot provide but is commonly required by many classes of high-performance workloads, including Machine Learning, Deep Learning, Big Data, Bioinformatics Computing, etc. These types of workloads typically run on generalized domain frameworks like TensorFlow, Spark, PyTorch, MPI, etc. In this talk, Kevin will introduce how Volcano is integrated with these frameworks to allow users to run their applications without extra adaptation efforts while enjoying remarkable batch scheduling.
BIO
Kevin Wang is a contributor in the CNCF community since its beginning, leader of the cloud native open source team at Huawei, and co-founder of the KubeEdge and Volcano projects. Kevin has contributed to Kubenretes upstream for years and now spends 100% of his work and focus on wider open source cloud native community development.
243 에피소드
Manage episode 300835695 series 2865115
ABSTRACT OF THE TALK
Volcano is a system for running high-performance workloads on Kubernetes. It features powerful batch scheduling capability that Kubernetes cannot provide but is commonly required by many classes of high-performance workloads, including Machine Learning, Deep Learning, Big Data, Bioinformatics Computing, etc. These types of workloads typically run on generalized domain frameworks like TensorFlow, Spark, PyTorch, MPI, etc. In this talk, Kevin will introduce how Volcano is integrated with these frameworks to allow users to run their applications without extra adaptation efforts while enjoying remarkable batch scheduling.
BIO
Kevin Wang is a contributor in the CNCF community since its beginning, leader of the cloud native open source team at Huawei, and co-founder of the KubeEdge and Volcano projects. Kevin has contributed to Kubenretes upstream for years and now spends 100% of his work and focus on wider open source cloud native community development.
243 에피소드
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