{"id":1002255,"date":"2026-09-10T05:03:34","date_gmt":"2026-09-10T09:03:34","guid":{"rendered":"https:\/\/www.marketnewsdesk.com\/index.php\/rackspace-joins-nvidia-cloud-partner-program-announces-nvidia-blackwell-powered-ai-infrastructure-for-regulated-enterprises-and-governments\/"},"modified":"2026-09-10T05:03:34","modified_gmt":"2026-09-10T09:03:34","slug":"rackspace-joins-nvidia-cloud-partner-program-announces-nvidia-blackwell-powered-ai-infrastructure-for-regulated-enterprises-and-governments","status":"publish","type":"post","link":"https:\/\/www.marketnewsdesk.com\/index.php\/rackspace-joins-nvidia-cloud-partner-program-announces-nvidia-blackwell-powered-ai-infrastructure-for-regulated-enterprises-and-governments\/","title":{"rendered":"Rackspace Joins NVIDIA Cloud Partner Program, Announces NVIDIA Blackwell-Powered AI Infrastructure for Regulated Enterprises and Governments"},"content":{"rendered":"

\nRackspace combines NVIDIA accelerated computing, Palantir software and governed private cloud with Rackspace as the accountable operator from infrastructure through production
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SAN ANTONIO, Sept. 10, 2026 (GLOBE NEWSWIRE) — Rackspace Technology\u00ae (NASDAQ: RXT), a global enterprise AI infrastructure and solutions provider, today announced that it has joined the\u00a0NVIDIA Cloud Partner Program (NCP)<\/u><\/a>. The program deepens Rackspace\u2019s ability to deliver and operate NVIDIA accelerated computing for regulated and sovereign enterprises.<\/p>\n

The relationship advances Rackspace\u2019s AI Cloud strategy, giving organizations the infrastructure and operational model to maintain control of their data, models and intelligence while putting AI into production. As enterprise AI becomes production infrastructure, organizations increasingly need an operator accountable not simply for the accelerated computing, but for running the complete environment continuously. Rackspace fills that role as the governed operator, bringing together NVIDIA accelerated computing with governed private and hybrid cloud, data, AI platforms and managed operations.<\/p>\n

\u201cEnterprise AI is becoming production infrastructure. At that point, the question is no longer simply who provides the GPU. It is who is accountable for operating the complete system,\u201d said Gajen Kandiah, Chief Executive Officer, Rackspace Technology<\/strong>. \u201cAI sovereignty is ultimately about control: control of your data, your models and the intelligence your organization creates. NVIDIA provides the accelerated computing foundation, and Rackspace brings the infrastructure, engineering and operations required to run it in production. For organizations where governance, sovereignty and uptime are non-negotiable, our role is to make that entire system work and remain accountable for the outcome.\u201d<\/p>\n

\n From Sovereign Architecture to Production Operations<\/strong>\n <\/p>\n

Rackspace is putting this model into practice through its Institutional Sovereign Pod<\/strong>, a governed AI infrastructure architecture designed to give enterprises control over their data, models and AI environments while supporting the performance required for production workloads. The Pod will bring together the NVIDIA Blackwell architecture <\/u><\/a> with Palantir Foundry and AIP in an environment Rackspace operates. Enterprises can use the pod to deploy AI at scale while maintaining sovereignty, security and operational control, including the Sovereign AI supply chain solution announced today by NVIDIA and Palantir<\/u><\/a>. Rackspace provides forward deployed engineering and managed operations for the environment, helping customers move from deployment to production faster and reach value sooner.<\/p>\n

\u201cFor AI to create value in the enterprise, organizations need more than access to compute. They need to connect their data, models and operations in an environment they can control,\u201d said Sameer Kirtane, Head of US Commercial at Palantir. \u201cBringing Palantir Foundry and AIP together with NVIDIA accelerated computing and Rackspace\u2019s managed infrastructure creates a foundation for organizations to move AI into production while maintaining the governance and sovereignty their most critical operations require.\u201d<\/p>\n

\u201cAI is moving from experimentation to production, and enterprises and nations need full-stack AI factories that can operate continuously, securely and at scale,\u201d said Raj Mirpuri, vice president of global AI clouds and infrastructure ecosystem at NVIDIA. \u201cTogether, NVIDIA and Rackspace can help more organizations put AI into production securely, efficiently and at scale, powered by NVIDIA AI Infrastructure.\u201d<\/p>\n

As an NVIDIA Cloud Partner, Rackspace will support NVIDIA technologies across all layers of the enterprise AI stack, with NCP competencies in Compute, Networking, Visualization and NVIDIA Enterprise Software<\/strong>. These capabilities strengthen Rackspace\u2019s ability to integrate NVIDIA infrastructure and software with governed private and hybrid cloud and managed operations, providing customers with one accountable operator for the production environment.
Together, these capabilities will help Rackspace customers:<\/p>\n