Rackspace Technology stock surges 30% as AMD partnership brings 30 MW of AI compute power

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Rackspace Technology shares soared 30% following a definitive agreement with AMD to deploy 30 megawatts of AI-dedicated compute power across its global data centers. The strategic partnership, running from late 2026 through 2028, will incorporate AMD Instinct GPUs and EPYC CPUs to serve regulated industries like healthcare, marking a significant expansion of managed enterprise AI infrastructure for enterprises moving from AI experiments to production-scale agentic workflows.

Rackspace Technology and AMD Formalize Strategic Partnership

Rackspace Technology stock climbed 30% on Tuesday after the company finalized a definitive agreement with AMD for the phased deployment of 30 megawatts of AI compute infrastructure

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. The deal operationalizes a Memorandum of Understanding originally announced on May 7, 2026, and establishes AMD as a strategic technology partner for Rackspace's governed AI stack

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. The deployment will roll out across Rackspace's global data centers beginning in late 2026 through 2028, representing a substantial commitment to AI-dedicated compute power in an era when enterprises are racing to scale their artificial intelligence capabilities

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AMD Instinct GPUs and EPYC CPUs Power Enterprise AI Cloud

The collaboration will incorporate AMD Instinct GPUs, including the MI355X and MI350P models, alongside AMD EPYC CPUs within an integrated Enterprise AI Cloud architecture

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. This infrastructure is specifically designed to serve regulated enterprise workloads, with healthcare providers already expressing early interest in accelerated compute for clinical AI and inference at scale

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. The surge in demand for accelerated computing is being driven by generative AI, large-scale inference workloads, and emerging agentic systems, triggering a scramble for power and space to run these processes

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Targeting Regulated Industries with Governed AI Infrastructure

"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 of Rackspace Technology

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. This statement underscores the strategic focus on managed enterprise AI infrastructure that addresses compliance and governance requirements critical to sectors like healthcare and finance. Both companies plan to dedicate sales and marketing resources to identify enterprise customers for AMD compute-powered infrastructure, with personnel from each company jointly developing customer opportunities across regulated industries

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Four Integrated Capabilities to Accelerate Enterprise AI Adoption

The strategic partnership will accelerate delivery of four integrated capabilities: Enterprise AI Cloud, Enterprise Inference Engine, Inference as a Service, and Bare Metal AMD Instinct

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. The companies aim to establish a new category of managed enterprise AI infrastructure targeting enterprises moving from AI experiments to agentic workflows within core enterprise systems

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. This positions the partnership to capture demand from organizations seeking to transition from proof-of-concept AI projects to production-scale deployments that can deliver measurable business outcomes.

Market Implications and Competitive Positioning

The deal comes as big tech companies race to build out AI infrastructure at breakneck speed, with companies like AMD pouring billions into new chips and compute capacity while hyperscalers such as Google, Amazon, and Microsoft rapidly expand their own data-center footprints

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. Rackspace Technology stock surged in premarket trading, jumping 18% to $6.96 before eventually climbing 30%

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. The 30-megawatt deployment represents meaningful capacity for regulated industries where compliance requirements often prevent enterprises from using public cloud infrastructure without additional governance layers. As enterprises increasingly seek alternatives to hyperscaler-dominated AI infrastructure, this partnership could establish a differentiated position for organizations requiring specialized compliance frameworks while accessing cutting-edge AI compute capabilities.

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