AI product
Volcano is a cloud-native batch scheduling system for compute-intensive workloads that extends Kubernetes with unified scheduling for Kubernetes-native jobs and frameworks such as TensorFlow, Spark, PyTorch, Ray, and Flink. It supports gang scheduling, queue hierarchies with quotas and task priorities, Fair-Share and Binpack policies, device-aware scheduling for GPUs and NPUs, NUMA and network-topology awareness, and scheduling across multiple clusters. The platform also supports colocating online and offline workloads and integrates with frameworks including Argo Workflows, Kubeflow, Open MPI, Horovod, and PaddlePaddle.
1 use taken from transcripts — each links to the moment in the video.
An ecosystem addition bolting gang scheduling and the missing training-oriented half onto Kubernetes from beside the scheduler rather than inside it.
1 in the library.