# KAI scheduler

Published articles for KAI scheduler.

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## NVIDIA Open Sources Run:ai Under Apache 2.0 for Kubernetes GPU Orchestration

DevFeed: [NVIDIA Open Sources Run:ai Under Apache 2.0 for Kubernetes GPU Orchestration](<https://devfeed.tech/articles/nvidia-open-sources-run-ai-under-apache-2-0-for-kubernetes-gpu-orchestration-89805.md>)

Original publisher: [Read original article](<https://www.marktechpost.com/2026/10/18/nvidia-runai-open-source-gpu-orchestration-kubernetes/>)

Author: Asif Razzaq

Published: 2026-10-19T03:19:18Z

Content type: news

Language: en

Sources: [MarkTechPost](<https://devfeed.tech/sources/marktechpost.md>)

Topics: [AI Infrastructure](<https://devfeed.tech/topics/ai-infrastructure.md>), [Kubernetes](<https://devfeed.tech/topics/kubernetes.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [rancher](<https://devfeed.tech/topics/rancher.md>)

Tags: [agentic-ai](<https://devfeed.tech/tags/agentic-ai.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-infrastructure](<https://devfeed.tech/tags/ai-infrastructure.md>), [apache](<https://devfeed.tech/tags/apache.md>), [apache-2-0](<https://devfeed.tech/tags/apache-2-0.md>), [applications](<https://devfeed.tech/tags/applications.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [bin-packing](<https://devfeed.tech/tags/bin-packing.md>), [cloud](<https://devfeed.tech/tags/cloud.md>), [cluster](<https://devfeed.tech/tags/cluster.md>), [clusters](<https://devfeed.tech/tags/clusters.md>), [code](<https://devfeed.tech/tags/code.md>), [community](<https://devfeed.tech/tags/community.md>), [community-edition](<https://devfeed.tech/tags/community-edition.md>), [container](<https://devfeed.tech/tags/container.md>), [editors-pick](<https://devfeed.tech/tags/editors-pick.md>), [embedding-model](<https://devfeed.tech/tags/embedding-model.md>), [enterprise-ai](<https://devfeed.tech/tags/enterprise-ai.md>), [for-devs](<https://devfeed.tech/tags/for-devs.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [gpu-orchestration](<https://devfeed.tech/tags/gpu-orchestration.md>), [kai-scheduler](<https://devfeed.tech/tags/kai-scheduler.md>), [kubernetes](<https://devfeed.tech/tags/kubernetes.md>), [language-model](<https://devfeed.tech/tags/language-model.md>), [large-language-model](<https://devfeed.tech/tags/large-language-model.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [management](<https://devfeed.tech/tags/management.md>), [new-releases](<https://devfeed.tech/tags/new-releases.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [platform](<https://devfeed.tech/tags/platform.md>), [pytorch](<https://devfeed.tech/tags/pytorch.md>), [release](<https://devfeed.tech/tags/release.md>), [scheduler](<https://devfeed.tech/tags/scheduler.md>), [staff](<https://devfeed.tech/tags/staff.md>), [tech-news](<https://devfeed.tech/tags/tech-news.md>), [technology](<https://devfeed.tech/tags/technology.md>)

### AI overview

NVIDIA has released its Run:ai GPU orchestration platform as open source under Apache 2.0. The article describes its Kubernetes-based workload scheduling, quotas and GPU fractioning, along with a local development setup using a Kind cluster and simulated GPUs. It also compares Run:ai's broader management platform with other open-source Kubernetes schedulers.

### Source excerpt

NVIDIA has released the full Run:ai GPU orchestration platform as open source under Apache 2.0. The release includes KAI Scheduler, CUDA 13.4 GPU fractioning, quota management, and a local Kind dev environment. The post NVIDIA Open Sources Run:ai Under Apache 2.0 for Kubernetes GPU Orchestration appeared first on MarkTechPost.

## Lambda to integrate open-source NVIDIA Run:ai with its Managed Kubernetes Service

DevFeed: [Lambda to integrate open-source NVIDIA Run:ai with its Managed Kubernetes Service](<https://devfeed.tech/articles/lambda-to-integrate-open-source-nvidia-run-ai-with-its-managed-kubernetes-service-86015.md>)

Original publisher: [Read original article](<https://lambda.ai/blog/runai-on-lambda-kubernetes-service>)

Author: Lambda

Published: 2026-10-13T14:32:00Z

Content type: news

Language: en

Sources: [The Lambda deep learning blog](<https://devfeed.tech/sources/the-lambda-deep-learning-blog.md>)

Topics: [AI Infrastructure](<https://devfeed.tech/topics/ai-infrastructure.md>), [Kubernetes](<https://devfeed.tech/topics/kubernetes.md>), [Amazon Elastic Kubernetes Service](<https://devfeed.tech/topics/amazon-elastic-kubernetes-service.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-infrastructure](<https://devfeed.tech/tags/ai-infrastructure.md>), [ai-workloads](<https://devfeed.tech/tags/ai-workloads.md>), [cloud-native-ai-infrastructure](<https://devfeed.tech/tags/cloud-native-ai-infrastructure.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [gpu-infrastructure](<https://devfeed.tech/tags/gpu-infrastructure.md>), [gpu-scheduling](<https://devfeed.tech/tags/gpu-scheduling.md>), [gpu-sharing](<https://devfeed.tech/tags/gpu-sharing.md>), [hardware](<https://devfeed.tech/tags/hardware.md>), [kai-scheduler](<https://devfeed.tech/tags/kai-scheduler.md>), [kubernetes](<https://devfeed.tech/tags/kubernetes.md>), [lambda-kubernetes-service](<https://devfeed.tech/tags/lambda-kubernetes-service.md>), [managed-kubernetes](<https://devfeed.tech/tags/managed-kubernetes.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [nvidia-run-ai](<https://devfeed.tech/tags/nvidia-run-ai.md>), [open-source](<https://devfeed.tech/tags/open-source.md>)

### AI overview

Lambda plans to integrate open-source NVIDIA Run:ai as a managed option in Lambda Kubernetes Service. Run:ai will schedule AI workloads and allocate shared GPU capacity, while LKS provides managed Kubernetes and monitors and remediates GPU node faults. The planned integration is intended to help teams use shared GPU infrastructure more efficiently.

### Source excerpt

We welcome NVIDIA's decision to release NVIDIA Run:ai as open source, and we're working to make it a first-class option on Lambda Kubernetes Service (LKS).

## Lambda to integrate open-source NVIDIA Run:ai with its Managed Kubernetes Service

DevFeed: [Lambda to integrate open-source NVIDIA Run:ai with its Managed Kubernetes Service](<https://devfeed.tech/articles/lambda-to-integrate-open-source-nvidia-run-ai-with-its-managed-kubernetes-service-118907.md>)

Original publisher: [Read original article](<https://lambda.com/blog/runai-on-lambda-kubernetes-service>)

Author: Lambda

Published: 2026-10-13T14:32:00Z

Content type: release

Language: en

Sources: [The Lambda deep learning blog](<https://devfeed.tech/sources/the-lambda-deep-learning-blog.md>)

Topics: [AI Infrastructure](<https://devfeed.tech/topics/ai-infrastructure.md>), [Kubernetes](<https://devfeed.tech/topics/kubernetes.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>)

Tags: [accelerators](<https://devfeed.tech/tags/accelerators.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-cloud](<https://devfeed.tech/tags/ai-cloud.md>), [ai-development](<https://devfeed.tech/tags/ai-development.md>), [ai-factory](<https://devfeed.tech/tags/ai-factory.md>), [ai-infrastructure](<https://devfeed.tech/tags/ai-infrastructure.md>), [ai-software](<https://devfeed.tech/tags/ai-software.md>), [ai-workloads](<https://devfeed.tech/tags/ai-workloads.md>), [auto-remediation](<https://devfeed.tech/tags/auto-remediation.md>), [cloud](<https://devfeed.tech/tags/cloud.md>), [cloud-native-ai-infrastructure](<https://devfeed.tech/tags/cloud-native-ai-infrastructure.md>), [compute](<https://devfeed.tech/tags/compute.md>), [debugging](<https://devfeed.tech/tags/debugging.md>), [gpu-scheduling](<https://devfeed.tech/tags/gpu-scheduling.md>), [gpu-sharing](<https://devfeed.tech/tags/gpu-sharing.md>), [kai-scheduler](<https://devfeed.tech/tags/kai-scheduler.md>), [kubernetes](<https://devfeed.tech/tags/kubernetes.md>), [lambda](<https://devfeed.tech/tags/lambda.md>), [lambda-kubernetes-service](<https://devfeed.tech/tags/lambda-kubernetes-service.md>), [managed-kubernetes](<https://devfeed.tech/tags/managed-kubernetes.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [nvidia-run-ai](<https://devfeed.tech/tags/nvidia-run-ai.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [run-ai](<https://devfeed.tech/tags/run-ai.md>)

### AI overview

Lambda plans to offer open-source NVIDIA Run:ai as a managed option in Lambda Kubernetes Service (LKS), building on its support for customer-deployed Run:ai since 2022. Run:ai would extend Kubernetes with GPU-aware scheduling, GPU fractions for sharing devices, and quotas, priorities, and fair-share policies that let teams borrow unused capacity and yield it to higher-priority work. LKS manages the underlying environment: it monitors GPU nodes, cordons nodes when faults occur, drains running work, attempts automatic correction or escalates for hardware repair, and returns nodes after revalidation. Lambda says it will package, validate, and maintain the integration, which is still planned; the text gives no availability date.

### Source excerpt

We welcome NVIDIA's decision to release NVIDIA Run:ai as open source, and we're working to make it a first-class option on Lambda Kubernetes Service (LKS).