Rafay Enhances NVIDIA Enterprise AI Factory with Streamlined GPU Infrastructure Management

Sunnyvale, Calif. -- (Business Wire) -- Rafay Systems, a leading provider of cloud-native and AI infrastructure orchestration and management solutions, has announced its integration with the NVIDIA Enterprise AI Factory validated design. This collaboration aims to streamline the deployment and management of advanced AI and GPU-accelerated workloads in enterprise settings. The NVIDIA Enterprise AI Factory validated design provides detailed guidelines for setting up and running agentic AI, physical AI, and high-performance computing (HPC) workloads on the NVIDIA Blackwell platform in on-premises environments. This initiative integrates NVIDIA's powerful compute hardware, AI software stack, and high-performance networking capabilities with solutions from key ecosystem partners like Rafay Systems. By partnering with NVIDIA, Rafay is positioned to play a crucial role in enabling enterprises to build robust, scalable, and secure AI systems. Rafay's technology simplifies the process of deploying, managing, and utilizing enterprise AI and GPU-accelerated workloads. It supports the creation of an internal Platform-as-a-Service (PaaS) that ensures developers and data scientists have seamless access to GPU resources. This integration eliminates common bottlenecks, such as manual GPU provisioning and the absence of self-service capabilities, thereby accelerating AI development, reducing resource wastage, and enabling confident scaling. “Purpose-built infrastructure is essential for sovereign AI, and Rafay’s technology is at the heart of achieving this,” stated Haseeb Budhani, CEO and co-founder of Rafay Systems. “Our integration with NVIDIA Enterprise AI Factory allows our customers to deploy AI workloads faster, manage infrastructure more efficiently, and derive maximum value from their GPU investments from day one. This validated design is a significant step towards creating scalable and secure AI systems.” This partnership extends beyond the current announcement, building on Rafay’s recent launch of its Serverless Inference solution. This new offering enables NVIDIA Cloud Partners and GPU Cloud Providers to scale generative AI services without compromising on control, privacy, or trust. To explore more about Rafay Systems, visit their website at www.rafay.co. About Rafay Systems Rafay Systems was established in 2017 with the mission of transforming CPU and GPU-based infrastructure into a strategic asset for enterprises and cloud service providers. Companies, including NVIDIA Cloud Partners and GPU Clouds, utilize Rafay’s GPU PaaS™ (Platform-as-a-Service) stack to ease the complexities of managing both cloud and on-premises infrastructure. The platform facilitates self-service workflows for platform and DevOps teams within a single, multi-tenant environment. Rafay also enhances governance, optimizes resource costs, and speeds up the deployment of cloud-native and AI applications. Notable customers such as MoneyGram and Guardant Health rely on Rafay to underpin their modern infrastructure and AI strategies. The company has been recognized by industry experts, earning the distinction of a Cool Vendor in Container Management from Gartner and being named a Leader and Outperformer in the GigaOm Radar Report for Managed Kubernetes. For further updates and news about Rafay Systems, visit their website or follow them through their official channels.