{"version":1,"type":"story","url":"https://digestai.news/story/lambda-integrates-nvidias-open-source-run-ai-scheduler-into-its-kubern","json":"https://digestai.news/story/lambda-integrates-nvidias-open-source-run-ai-scheduler-into-its-kubern.json","markdown":"https://digestai.news/story/lambda-integrates-nvidias-open-source-run-ai-scheduler-into-its-kubern.md","slug":"lambda-integrates-nvidias-open-source-run-ai-scheduler-into-its-kubern","headline":"Lambda integrates NVIDIA’s Open-Source Run:AI scheduler into its Kubernetes service","summary":"Lambda announced on October 13, 2026, that it is working with NVIDIA to integrate the open-source **Run:ai scheduler** as a managed option in **Lambda Kubernetes Service (LKS)**. The scheduler, originally part of NVIDIA’s **Run:ai platform**, was open-sourced under the **Apache 2.0 license** in April 2025. Lambda has supported Run:ai since 2022 and aims to simplify adoption by embedding it directly into LKS, giving teams finer control over GPU allocation and sharing.\n\nNVIDIA’s scheduler enables **GPU sharing**, **quota-based scheduling**, and **gang scheduling**, dynamically adjusting resources in real time. It supports workloads like debugging, distributed training, and evaluations by dividing GPU memory into fractions, allowing multiple jobs to run concurrently. Lambda also highlighted **auto-remediation** in LKS, which detects and fixes hardware faults like XID errors or degraded NVLink links, ensuring stable GPU operations. The integration is part of Lambda’s broader plan to offer a **managed library of schedulers**, including Slurm and Run:ai, as validated components rather than requiring manual setup.","keyPoints":["Lambda and NVIDIA are integrating Run:ai scheduler into Lambda Kubernetes Service (LKS) as a managed option","NVIDIA open-sourced Run:ai’s KAI scheduler in April 2025 under Apache 2.0 license for Kubernetes-native GPU scheduling","LKS already includes auto-remediation for hardware faults and preinstalled NVIDIA GPU/Network Operators"],"whyItMatters":"This integration streamlines GPU resource management for AI workloads on Kubernetes, reducing manual setup and improving efficiency for teams running distributed training or mixed workloads.","category":{"slug":"hardware","name":"Hardware & Compute","url":"https://digestai.news/category/hardware"},"entities":{"companies":["Lambda","NVIDIA"],"models":[],"people":[]},"firstPublishedAt":"2026-10-13T15:00:08Z","updatedAt":"2026-10-13T15:00:08Z","sourceCount":1,"hasPrimarySource":false,"sources":[{"outlet":"Unite.AI","title":"Lambda Readies Open-Source Run:ai Scheduler for Kubernetes Service","url":"https://unite.ai/lambda-readies-open-source-run-ai-scheduler-for-kubernetes-service","publishedAt":"2026-10-13T15:00:08Z","type":"press","primary":false,"lead":true}],"sourceNotes":null,"discussions":[],"thread":null,"cite":{"text":"Digest AI, \"Lambda integrates NVIDIA’s Open-Source Run:AI scheduler into its Kubernetes service\", 13 October 2026, https://digestai.news/story/lambda-integrates-nvidias-open-source-run-ai-scheduler-into-its-kubern","publisher":"Digest AI","title":"Lambda integrates NVIDIA’s Open-Source Run:AI scheduler into its Kubernetes service","datePublished":"2026-10-13T15:00:08Z","url":"https://digestai.news/story/lambda-integrates-nvidias-open-source-run-ai-scheduler-into-its-kubern"},"generatedBy":"Written by Digest AI's editorial model from the linked sources; the sources are the record.","license":"Headlines, digests and key points are written by Digest AI and may be quoted with a link to the story page. Linked articles belong to their publishers. Terms: https://digestai.news/terms#reuse"}