Rafay delivers the operational layer enterprises need to manage AI at scale while removing barriers to GPU infrastructure

Rafay Systems, a leader in cloud-native and AI infrastructure orchestration and management, today announced its integration in the NVIDIA Enterprise AI Factory validated design, a major initiative intended to accelerate the development of sovereign AI agents and AI factories.

NVIDIA Enterprise AI Factory validated design offers guidance for deploying agentic AI, physical AI and HPC workloads on the NVIDIA Blackwell platform on premises. The initiative combines NVIDIA accelerated compute, AI software stack, and high-performance networking with best-in-class solutions from key ecosystem partners – including Rafay.

Rafay, accelerated by NVIDIA, simplifies the deployment, management, and consumption of enterprise AI and GPU-accelerated workloads. Rafay complements NVIDIA Enterprise AI Factory by enabling organizations to build an internal Platform-as-a-Service that provides developers and data scientists seamless access to GPU infrastructure. This empowers enterprises and GPU-accelerated cloud providers to tap into their GPU resources, eliminating technical barriers such as manual GPU provisioning and lack of self-service. As a result, teams can accelerate AI development, reduce waste, and scale with confidence.

“This initiative reflects a growing recognition that purpose-built infrastructure is key to sovereign AI – and Rafay technology is central to that mission,” said Haseeb Budhani, CEO and co-founder of Rafay Systems. “For Rafay’s customers, this means faster deployment of AI workloads, simplified infrastructure management, and the ability to extract value from GPUs on day one. With this new validated design, NVIDIA Enterprise AI factory is laying the groundwork for scalable and secure AI systems.”

This announcement builds on the recent launch of Rafay’s Serverless Inference offering, which equips NVIDIA Cloud Partners and GPU Cloud Providers to more effectively scale generative AI services while maintaining control, privacy, and trust.

To learn more about Rafay, visit www.rafay.co.

About Rafay Systems

Founded in 2017, Rafay is committed to elevating CPU and GPU-based infrastructure to a strategic asset for enterprises and cloud service providers. Enterprises, NVIDIA Cloud Partners, and GPU Clouds leverage the company’s GPU PaaS™ (Platform-as-a-Service) stack to simplify the complexities of managing cloud and on-premises based infrastructure while enabling self-service workflows for platform and DevOps teams–all within one multi-tenant offering. The Rafay Platform also helps companies improve governance capabilities, optimize costs of CPU & GPU resources, and accelerate the delivery of cloud-native and AI-powered applications. Customers such as MoneyGram and Guardant Health entrust Rafay to be the cornerstone of their modern infrastructure strategy and AI architecture. Gartner has recognized Rafay as a Cool Vendor in Container Management. GigaOm named Rafay as a Leader and Outperformer in the GigaOm Radar Report for Managed Kubernetes.

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