# Lambda Kubernetes Service

Published articles for Lambda Kubernetes Service.

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## 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).