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23min chapter
Building the AI Hyperscaler with Kubernetes
Kubernetes Bytes
Leveraging Bare Metal Kubernetes for GPU Workloads
This chapter explores the utilization of Kubernetes on bare metal nodes for GPU workloads, discussing the use of NVIDIA DPUs for network security and isolation. It highlights the advantages of host-level isolation, provisioning processes for GPU nodes, auto-scaling logic, and day two operations in GPU clusters. The chapter also emphasizes the value of leveraging existing standards and projects like Kubernetes and etcd for AI and ML workloads.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode