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Data Center News > Blog > Edge Computing > Rafay joins NVIDIA AI factory to streamline GPU Ops and speed AI rollouts
Edge Computing

Rafay joins NVIDIA AI factory to streamline GPU Ops and speed AI rollouts

Last updated: June 18, 2025 12:29 pm
Published June 18, 2025
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Rafay joins NVIDIA AI factory to streamline GPU Ops and speed AI rollouts
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Rafay has built-in with NVIDIA Enterprise AI Manufacturing facility to reinforce infrastructure orchestration and administration for AI at scale. 

The NVIDIA Enterprise AI Factory validated design helps deploying AI and HPC workloads on the NVIDIA Blackwell platform, combining NVIDIA’s compute, AI software program, and networking with companion options like Rafay. 

Rafay simplifies GPU infrastructure administration, enabling enterprises to construct inner Platform-as-a-Service (PaaS) options for seamless GPU entry, decreasing technical obstacles and accelerating AI improvement. 

This integration permits sooner AI workload deployment, improved infrastructure administration, and quick GPU useful resource utilization. 

Rafay lately launched a Serverless Inference providing to assist NVIDIA Cloud Companions and GPU Cloud Suppliers scale generative AI providers whereas sustaining management and privateness. The platform helps governance, value optimization, and supply of cloud-native and AI-powered functions for enterprises and cloud suppliers. 

MoneyGram and Guardant Well being use Rafay for contemporary infrastructure methods, and the corporate has been acknowledged by Gartner and GigaOm for its improvements. 

Rafay’s options intention to make GPU and CPU infrastructure a strategic asset for enterprises, simplifying administration and enabling self-service workflows.

Associated

AI manufacturing facility  |  AI infrastructure  |  AI/ML  |  edge computing  |  GPU  |  Nvidia  |  PaaS platform  |  Rafay  |  serverless inference

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See also  Acumera spreads edge computing across 2,600 US pizza and outlet stores via Casey’s pairing
TAGGED: factory, GPU, joins, Nvidia, ops, Rafay, rollouts, speed, streamline
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