Kubernetes

NVIDIA's NVCRE Boosts AI Cluster Reliability With Real Workload Validation
Kubernetes

NVIDIA's NVCRE Boosts AI Cluster Reliability With Real Workload Validation

NVIDIA's Cluster Readiness Engine certifies GPU clusters for production by running real AI workloads. Learn how it identifies bottlenecks and faulty nodes.

NVIDIA Launches NodeWright for Kubernetes Node Management
Kubernetes

NVIDIA Launches NodeWright for Kubernetes Node Management

NVIDIA's NodeWright simplifies Kubernetes node ops, enabling GPU fleet updates without disrupting AI workloads.

NVIDIA Launches Topograph for Topology-Aware GPU Scheduling
Kubernetes

NVIDIA Launches Topograph for Topology-Aware GPU Scheduling

NVIDIA's Topograph optimizes GPU workload placement for AI factories, reducing latency and boosting efficiency across cloud and on-premises clusters.

NVIDIA FLARE Expands Federated Learning with Kubernetes, Slurm
Kubernetes

NVIDIA FLARE Expands Federated Learning with Kubernetes, Slurm

NVIDIA FLARE 2.9 adds Slurm support, enabling scalable federated learning across heterogeneous infrastructures like Docker, Kubernetes, and HPC clusters.

KubeRay v1.7 Launches With Upgraded Features for Ray on Kubernetes
Kubernetes

KubeRay v1.7 Launches With Upgraded Features for Ray on Kubernetes

KubeRay v1.7 introduces major upgrades like History Server beta, enhanced RayJob management, and stronger security for Ray workloads on Kubernetes.

NVIDIA’s KAI Scheduler and vCluster Enable GPU Sharing in Kubernetes
Kubernetes

NVIDIA’s KAI Scheduler and vCluster Enable GPU Sharing in Kubernetes

NVIDIA introduces a solution for isolated Kubernetes clusters and efficient GPU sharing, reducing infrastructure costs for AI/ML teams.

NVIDIA Dynamo Snapshot Tackles Kubernetes AI Cold-Start Problem
Kubernetes

NVIDIA Dynamo Snapshot Tackles Kubernetes AI Cold-Start Problem

NVIDIA's Dynamo Snapshot reduces Kubernetes AI inference cold-start times, leveraging CRIU and GPU Memory Service for sub-5-second deployment speed.

NVIDIA Open-Sources Slinky to Run Slurm GPU Workloads on Kubernetes
Kubernetes

NVIDIA Open-Sources Slinky to Run Slurm GPU Workloads on Kubernetes

NVIDIA's Slinky project enables running Slurm clusters on Kubernetes, already deployed on 8,000+ GPU systems for large-scale AI training infrastructure.

NVIDIA MIG Boosts AI Infrastructure ROI by 33% Over Time-Slicing
Kubernetes

NVIDIA MIG Boosts AI Infrastructure ROI by 33% Over Time-Slicing

New NVIDIA benchmarks show Multi-Instance GPU partitioning achieves 1.00 req/s per GPU versus 0.76 for time-slicing in production AI workloads.

NVIDIA Donates GPU Resource Driver to Kubernetes Open Source Project
Kubernetes

NVIDIA Donates GPU Resource Driver to Kubernetes Open Source Project

NVIDIA transfers critical GPU allocation software to CNCF at KubeCon Europe, marking major shift toward community-governed AI infrastructure.