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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.
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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.
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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.