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AMD partners with Rackspace to deploy 30 MW of AMD AI compute

At full deployment, 30 MW of dedicated AMD compute across Rackspace’s footprint will represent meaningful capacity to serve regulated enterprise workloads, including healthcare providers who have expressed early interest in accelerated compute.

AMD and Rackspace Technology, a global enterprise AI infrastructure and solutions provider, have announced the signing of a definitive agreement for the phased deployment of an initial 30 MW footprint dedicated to AMD-based compute deployments across Rackspace’s global data centers beginning in late 2026 through 2028. 

The agreement operationalizes the MOU announced May 7, 2026, and establishes AMD as a strategic technology partner at the silicon layer of Rackspace’s governed AI stack, Rackspace said in a press release.

At full deployment, 30 MW of dedicated AMD compute across Rackspace’s footprint will represent meaningful capacity to serve regulated enterprise workloads, including healthcare providers who have expressed early interest in accelerated compute for clinical AI and inference at scale. 

This collaboration incorporates both AMD Instinct GPUs (including MI355X, MI350P, and future successor solutions) and AMD EPYC CPUs inside an integrated Enterprise AI Cloud architecture, enabling Rackspace to route each workload to the right compute with full accountability for performance and outcomes end to end, the press release said.

“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. “This collaboration combines the right compute with the right operating model and delivers something the market hasn’t offered before: a governed AI stack with one accountable partner from silicon to outcomes.”

“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. “By bringing together leadership AMD AI compute solutions and Rackspace’s governed cloud operating model, we are helping regulated enterprises deploy high-performance AI infrastructure with the openness, scalability and accountability needed to run AI at enterprise scale.”


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