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Silicon Flash > Blog > Edge Computing > Rafay Enhances Efficiency at NVIDIA AI Factory for Faster AI Deployments
Edge Computing

Rafay Enhances Efficiency at NVIDIA AI Factory for Faster AI Deployments

Published June 18, 2025 By Juwan Chacko
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Rafay Enhances Efficiency at NVIDIA AI Factory for Faster AI Deployments
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Rafay has partnered with the NVIDIA Enterprise AI Factory to improve infrastructure orchestration and management for large-scale AI projects. This collaboration aims to streamline GPU operations and expedite the deployment of AI applications efficiently.

Rafay has integrated with NVIDIA Enterprise AI Factory to enhance infrastructure orchestration and management for AI at scale.

The NVIDIA Enterprise AI Factory validated design supports deploying AI and HPC workloads on the NVIDIA Blackwell platform, combining NVIDIA’s compute, AI software, and networking with partner solutions like Rafay.

Rafay simplifies GPU infrastructure management, enabling enterprises to build internal Platform-as-a-Service (PaaS) solutions for seamless GPU access, reducing technical barriers and accelerating AI development.

This integration allows faster AI workload deployment, improved infrastructure management, and immediate GPU resource utilization.

Rafay recently launched a Serverless Inference offering to help NVIDIA Cloud Partners and GPU Cloud Providers scale generative AI services while maintaining control and privacy. The platform supports governance, cost optimization, and delivery of cloud-native and AI-powered applications for enterprises and cloud providers.

MoneyGram and Guardant Health use Rafay for modern infrastructure strategies, and the company has been recognized by Gartner and GigaOm for its innovations.

Rafay’s solutions aim to make GPU and CPU infrastructure a strategic asset for enterprises, simplifying management and enabling self-service workflows.

Related

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

See also  Efficiency Boost: Harnessing Liquid Cooling to Reduce Energy and Water Consumption
TAGGED: deployments, efficiency, Enhances, Factory, faster, Nvidia, Rafay
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