AMD and Rackspace Technology have signed a definitive agreement for the phased deployment of an initial 30 MW footprint of AMD-based compute across Rackspace’s global data centers. The deployment is scheduled to begin in late 2026 and continue through 2028. The agreement operationalizes the Memorandum of Understanding announced on May 7, 2026, and establishes AMD as a strategic technology partner at the silicon layer of Rackspace’s governed AI stack.
At full deployment, the 30 MW of dedicated AMD compute will support regulated enterprise workloads, including healthcare providers using accelerated compute for clinical AI and inference at scale. The infrastructure combines AMD Instinct GPUs, including the MI355X, MI350P, and future successors, with AMD EPYC CPUs in an integrated Enterprise AI Cloud architecture. This setup enables workload routing to the appropriate compute type with end-to-end accountability.
“Enterprises in regulated industries need AI infrastructure that is governed from the ground up, with one operator accountable for business outcomes, not a collection of vendors each owning a piece,” said Gajen Kandiah, CEO, Rackspace Technology.
“As enterprise AI evolves, customers need infrastructure that can deliver the right mix of accelerated and general-purpose compute for each workload,” said Dan McNamara, senior vice president and general manager, Compute and Enterprise AI, AMD.
Both companies will dedicate sales and marketing resources to identify and engage enterprise customers for AMD compute-powered infrastructure in regulated industries. They will jointly develop and pursue customer opportunities.
The agreement accelerates delivery of the capabilities announced with the MOU: Enterprise AI Cloud, Enterprise Inference Engine, Inference as a Service, and Bare Metal AMD Instinct. It provides a complete governed stack from bare metal compute through fully operated inference.
An investor call has been scheduled for June 16, 2026, at 8:30 a.m. ET, featuring remarks by Rackspace Technology’s CEO and CFO, followed by a question-and-answer session.
