Sep 23, 2024 · Cloud Native

How to Extend the Kubernetes Scheduler: Four Approaches

The article outlines four ways to extend the Kubernetes scheduler—Scheduler Extender, Scheduler Framework, deploying multiple schedulers, and a WebAssembly‑based plugin model—detailing their mechanisms, configuration steps, advantages, and drawbacks.

KubernetesMulti SchedulerScheduler

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How to Extend the Kubernetes Scheduler: Four Approaches

Baidu Geek Talk

Aug 2, 2023 · Cloud Native

Baidu Intelligent Cloud GPU Container Virtualization 2.0: Advancements and Full-Scenario Practices

Baidu Intelligent Cloud’s GPU Container Virtualization 2.0 combines user‑mode and kernel‑mode isolation in a dual‑engine design that unifies scheduling of AI compute, rendering and encoding, supports mixed deployment and multi‑scheduler integration, and boosts GPU utilization across inference, offline tasks, autonomous‑driving simulation, and cloud‑gaming workloads.

AI workloadsGPU virtualizationMulti Scheduler

0 likes · 14 min read

Baidu Intelligent Cloud GPU Container Virtualization 2.0: Advancements and Full-Scenario Practices