Run:ai

NVIDIA Mission Control 2.5 extends autonomous recovery to Kubernetes
Run:ai

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.

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

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.

NVIDIA Run:ai GPU Fractioning Delivers 77% Throughput at Half Allocation
Run:ai

NVIDIA Run:ai GPU Fractioning Delivers 77% Throughput at Half Allocation

NVIDIA and Nebius benchmarks show GPU fractioning achieves 86% user capacity on 0.5 GPU allocation, enabling 3x more concurrent users for mixed AI workloads.

NVIDIA Run:ai v2.24 Tackles GPU Scheduling Fairness for AI Workloads
Run:ai

NVIDIA Run:ai v2.24 Tackles GPU Scheduling Fairness for AI Workloads

NVIDIA's new time-based fairshare scheduling prevents GPU resource hogging in Kubernetes clusters, addressing critical bottleneck for enterprise AI deployments.

NVIDIA Acquires GPU Orchestration Software Provider Run:ai for $700 Million
Run:ai

NVIDIA Acquires GPU Orchestration Software Provider Run:ai for $700 Million

NVIDIA, a leading technology company, has announced its acquisition of Run:ai, an Israeli startup that specializes in GPU orchestration software. The acquisition aims to enhance NVIDIA's capabilities in managing and optimizing AI computing resources across various environments. The terms of the deal, including the acquisition cost, have not been publicly disclosed.