{"id":959725,"date":"2026-05-07T08:14:01","date_gmt":"2026-05-07T12:14:01","guid":{"rendered":"https:\/\/www.marketnewsdesk.com\/index.php\/rackspace-technology-and-amd-sign-memorandum-of-understanding-to-establish-new-category-of-governed-enterprise-ai-infrastructure\/"},"modified":"2026-05-07T08:14:01","modified_gmt":"2026-05-07T12:14:01","slug":"rackspace-technology-and-amd-sign-memorandum-of-understanding-to-establish-new-category-of-governed-enterprise-ai-infrastructure","status":"publish","type":"post","link":"https:\/\/www.marketnewsdesk.com\/index.php\/rackspace-technology-and-amd-sign-memorandum-of-understanding-to-establish-new-category-of-governed-enterprise-ai-infrastructure\/","title":{"rendered":"Rackspace Technology and AMD Sign Memorandum of Understanding to Establish New Category of Governed Enterprise AI Infrastructure"},"content":{"rendered":"

\nAgreement establishes framework for governed Enterprise AI Cloud built for mission-critical workloads
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SAN ANTONIO, May 07, 2026 (GLOBE NEWSWIRE) — Rackspace Technology<\/a>\u00ae (NASDAQ: RXT), a global enterprise AI infrastructure and solutions provider, and AMD today announced the signing of a Memorandum of Understanding (MOU) establishing a framework for a multiyear strategic partnership to create an Enterprise AI Cloud purpose-built for regulated enterprises and sovereign workloads where security, governance, and accountability are non-negotiable.<\/p>\n

Today’s dominant model requires enterprises to rent GPU capacity by the hour and carry the operational burden themselves including integration, security and accountability. This collaboration proposes to invert that model by integrating AMD Instinct\u2122 GPUs and EPYC\u2122 CPUs into a fully managed, governed stack. Through this understanding, the companies aim to establish a new category of managed enterprise AI infrastructure where dedicated AMD compute is embedded inside a governed managed operating model, with Rackspace owning the stack from silicon to outcomes.<\/p>\n

\u201cAs enterprises move AI out of the lab and into production environments, they’re asking who they can trust to run it there,\u201d said Gajen Kandiah, CEO, Rackspace Technology. \u201cGoverning AI infrastructure in regulated environments with defined accountability is not something you bolt on after the fact. It must be built in from the start. Rackspace and AMD are building exactly that and in doing so, establishing a new category of enterprise AI infrastructure that the market has been asking for.”<\/p>\n

\u201cEnterprise AI is quickly moving from experimentation to production, and that requires a compute foundation engineered for performance and efficiency at scale,\u201d said Dan McNamara, senior vice president and general manager, Compute & Enterprise AI, AMD. \u201cOur collaboration with Rackspace delivers AMD AI compute into managed, private and governed environments so enterprises can deploy AI with the performance and flexibility their workloads demand.\u201d<\/p>\n

The AMD collaboration is intended to position Rackspace to complete its curated enterprise AI stack and introduce four integrated capabilities. Together, these capabilities are designed to form a complete, integrated stack from bare metal compute and developer-ready inference tooling through a fully operated inference runtime with defined SLAs to a governed Enterprise AI Cloud. The aim is to give enterprises a single operator accountable for every layer, calibrated to the sovereignty, performance, and compliance requirements of each workload.<\/p>\n