Kubernetes

NVIDIA DSX OS Enhances Kubernetes GPU Cluster Efficiency
Kubernetes

NVIDIA DSX OS Enhances Kubernetes GPU Cluster Efficiency

NVIDIA DSX OS introduces tools to configure, certify, and monitor Kubernetes GPU clusters, addressing efficiency and fault detection challenges.

NVIDIA Deploys AI Agents to Optimize DGX SuperPOD Operations
Kubernetes

NVIDIA Deploys AI Agents to Optimize DGX SuperPOD Operations

NVIDIA's AI Factory Operations Agent uses AI-driven tools to streamline DGX SuperPOD management, improving root cause analysis and operational efficiency.

NVIDIA details Kubernetes recipe for Vera Rubin NVL72 support
Kubernetes

NVIDIA details Kubernetes recipe for Vera Rubin NVL72 support

NVIDIA says its AICR tool can help Kubernetes clusters validate and reproduce configurations for Vera Rubin NVL72 support.

NVIDIA details Workload Map for Kubernetes AI frameworks
Kubernetes

NVIDIA details Workload Map for Kubernetes AI frameworks

NVIDIA says Workload Map provides a shared way to describe Kubernetes workloads across frameworks, with support for JobSet, KAI Scheduler and Run:ai.

NVIDIA details Kubernetes runtime recipe for Dynamo
Kubernetes

NVIDIA details Kubernetes runtime recipe for Dynamo

NVIDIA outlined AICR recipes for deploying and validating Dynamo on Kubernetes, including routing options, pinned components and validation checks.

KubeRay best practices focus on production scale and cluster failures
Kubernetes

KubeRay best practices focus on production scale and cluster failures

Anyscale outlines production KubeRay practices for logs, GPU health, autoscaler tuning and head-node resilience, with Connect in private preview.

NVIDIA adds memory-enforced GPU sharing to CUDA 13.4
Kubernetes

NVIDIA adds memory-enforced GPU sharing to CUDA 13.4

NVIDIA says CUDA 13.4 adds transparent GPU memory enforcement for shared workloads, with Kubernetes support via an open-source operator.

NVIDIA Mission Control 2.5 extends autonomous recovery to Kubernetes
Kubernetes

NVIDIA Mission Control 2.5 extends autonomous recovery to Kubernetes

NVIDIA says Mission Control 2.5 brings autonomous recovery to Kubernetes workloads managed by Run:ai, adding job and hardware remediation controls.

KubeRay positions Ray workloads inside Kubernetes
Kubernetes

KubeRay positions Ray workloads inside Kubernetes

An AnyScale explainer says KubeRay brings RayCluster, RayJob and RayService to Kubernetes-native lifecycle management and autoscaling.

NVIDIA Releases Run:ai GPU Orchestration Platform as Open Source
Kubernetes

NVIDIA Releases Run:ai GPU Orchestration Platform as Open Source

NVIDIA announced October 13, 2026 that its Run:ai AI workload and GPU orchestration platform is now available as open source software within the DSX AI Factory ecosystem.