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KAI-SchedulerKubernetes-Native AI Scheduler

KAI-Scheduler is an open-source Kubernetes-native scheduler designed for large-scale AI workloads. Built in Go, it efficiently manages GPU resources, supports dynamic priority queues and resource preemption, and maximizes throughput for training and inference tasks in heterogeneous clusters. Ideal for DevOps and platform engineering teams seeking fine-grained control over AI job scheduling.

1.4K Stars
214 Forks
147 Issues
157 Views
Go
Apache-2.0
Indexed

Project Overview

KAI-Scheduler is an open-source Kubernetes-native scheduler designed for large-scale AI workloads. Built in Go, it efficiently manages GPU resources, supports dynamic priority queues and resource preemption, and maximizes throughput for training and inference tasks in heterogeneous clusters. Ideal for DevOps and platform engineering teams seeking fine-grained control over AI job scheduling.

Project Overview

KAI-Scheduler is an open-source Kubernetes-native scheduler aimed at efficiently scheduling large-scale AI workloads.

Core Features

  • GPU Resource Management: Effectively allocates and manages GPU resources.
  • Dynamic Priority Queues: Supports priority-based job scheduling.
  • Resource Preemption: Allows higher-priority tasks to preempt lower-priority resources.
  • Throughput Maximization: Enhances overall throughput for training and inference tasks in heterogeneous clusters.

Technology Stack and License

The project is developed in Go and is licensed under Apache-2.0.

Use Cases

Targeted at DevOps and platform engineering teams, designed for environments requiring fine-grained control over AI job scheduling.

Project Status

As of the time of data collection, the project had 1350 stars on GitHub.

KAI-SchedulerKubernetes schedulingAI workloadsGPU resource managementopen source schedulerpriority queueresource preemptionGang schedulingKubernetes nativecluster optimization

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Frequently Asked Questions

What is KAI-Scheduler: Kubernetes-Native AI Scheduler?

KAI-Scheduler is an open-source Kubernetes-native scheduler designed for large-scale AI workloads. Built in Go, it efficiently manages GPU resources, supports dynamic priority queues and resource preemption, and maximizes throughput for training and inference tasks in heterogeneous clusters. Ideal for DevOps and platform engineering teams seeking fine-grained control over AI job scheduling.

What language is KAI-Scheduler: Kubernetes-Native AI Scheduler written in?

KAI-Scheduler: Kubernetes-Native AI Scheduler is primarily written in Go.

What license is KAI-Scheduler: Kubernetes-Native AI Scheduler under?

KAI-Scheduler: Kubernetes-Native AI Scheduler is released under the Apache-2.0 license.

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