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[H2]
Rackspace and AMD sign MOU to deliver governed enterprise AI infrastructure
One operator accountable across the stack from silicon to outcomes, built for regulated and sovereign environments where governance, sovereignty and uptime are non-negotiable.
Read the Press Release

Explore the Partnership

[IMG: AMD]

[IMG: Enterprise AI Cloud]

[H2]
Rackspace is the operator of the full enterprise AI stack.

[H3] One partner. Full accountability.
We assemble, integrate and operate the full stack from governed private cloud to AI inference and agents in production, and remain accountable for outcomes long after deployment is complete.
[H4] Curated partners across every layer of the stack.
We have assembled best-of-breed partners across every layer of the stack to connect models, platform and infrastructure into a governed system, purpose-built for enterprise AI in regulated environments.
[H4] Governance built in. Not bolted on.
Security, compliance, data sovereignty and uptime are foundational to every enterprise AI cloud we operate, especially in regulated and high-stakes environments.
[H4] Forward deployed engineers who build, run and scale
Our engineers embed directly in your environment to build, operationalize and run enterprise AI, turning use cases into production systems and scaling them over time.
Explore Enterprise AI Cloud

[H2] Enterprise AI Cloud Partner Ecosystem

We have curated best-of-breed partners across every layer of the stack. Our ecosystem is deliberate, opinionated and selected for how partners integrate across the stack and how they perform within it. Everything is stitched together and governed as one system, so you can focus on outcomes instead of managing complexity.

[IMG: AMD]
[IMG: VMware by Broadcom]
[IMG: Palantir]
[IMG: UNIPHORE]
[IMG: Rubrik]
[IMG: Dell Technologies]
Explore our Ecosystem

[IMG: Seattle Children]

“We partnered with Rackspace because of Fanatical Experience® and their ability to provide an infrastructure to a guaranteed uptime of 99.999%, which means that our clinicians would have secure access to our EMR around the clock at the point of care.”
Dr. Zafar Chaudry, MD, Senior VP, Chief Digital Officer and Chief AI and Information Officer, Seattle Children’s Hospital

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[H2]
25+ years of experience operating mission-critical infrastructure. We’re built to run what comes next.
From infrastructure to enterprise AI in production, our depth shows up in the certification our engineers hold, the platforms we’re qualified to operated and the environments we’ve kept running for the industries that trust us with their most critical systems.

2,200+

certified technical experts

10,000+

technical certifications

600+

AI platform certifications

39

data centers globally

[H2] Industry-Recognized Leadership

Independently recognized by the leading analysts who cover enterprise infrastructure and AI.

[IMG: Forrester]
[IMG: Gartner]
[IMG: IDC]
[IMG: ISG]

[H2] Ready to operationalize AI?
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[H2]
Rackspace Insights

Strategic perspectives on the infrastructure and governance decisions that separate successful AI deployments from stalled experiments

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[H3] What It Takes to Run Enterprise AI in Production and Why We Are Collaborating with AMD

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[H3] The Role of a Shared Knowledge Layer Across AI Systems

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[H3] What Happens When Banks Add AI Vendors Without a Shared Strategy?

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[H3] The Governance Gap Is the AI Gap

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[H2]
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[H2]
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[H2]
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[H3] Global Headquarters

Rackspace Technology
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[H4] Giza
Greek Campus – Unit A06
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[IMG: Enterprise AI Cloud Stack Diagram]

[H2] We are the single operator accountable across the stack, built for governed AI in regulated and sovereign environments.

Enterprise AI Cloud helps regulated enterprises turn boardroom strategy into production AI.
Rackspace operates the full stack as one governed system, as one accountable operator, under one operating model and one set of SLAs. Instead of managing the stack or coordinating between vendors, you hold a single operator accountable for performance in regulated and sovereign environments, where governance, sovereignty and uptime are foundational. Behind that single point of accountability is a curated, best-of-breed partner ecosystem - AMD, Dell, VMware, Rubrik, Palantir, Uniphore - selected not for what they do in isolation, but for how they integrate across every layer, stitched together and governed as one system so you focus on outcomes, not complexity.

Enterprise AI platforms: Governed AI and data platforms enabling enterprises to aggregate data, unlock insights, and launch agentic workflows in regulated and sovereign environments.
Developer-ready tools: Private, secure access to the APIs and self-service tools enterprises need to integrate AI capabilities directly into their platforms and workflows.
Cyber resilience: Resilient, secure data strategies designed for rapid recovery in inevitable cyber events.
Cloud compliance: Flexible infrastructure to meet evolving compliance and data sovereignty requirements.
Core business applications: Core industry applications driving end-to-end enterprise workflows.
Cloud platforms: A consistent foundational layer enabling seamless workload portability across environments.
Core infrastructure: Right-sized, high-performance infrastructure optimized for CPU and GPU workloads.
Edge to core to cloud: Core connectivity from edge to core to cloud, enabling workloads across distributed enterprise environments.

[H1] The AI full-stack operator from agents to infrastructure.
We are the single accountable partner that builds and operates enterprise AI infrastructure, from governed private cloud to production AI for regulated industries where compliance, sovereignty and uptime are non-negotiable.

THE FOUNDATION
[H3] Governed AI Private Cloud
Modernize and scale critical workloads with speed and flexibility while enforcing security, compliance and data controls. Embedded governance empowers your team to move faster without increasing risk, satisfying regulatory and audit requirements with confidence, and maintaining full control over your most sensitive data.
Learn more

HOW WE DELIVER
[H3] Forward Deployed Engineering
Rackspace Forward Deployed Engineering places engineers directly in your environment to work alongside your team and operate infrastructure, applications and AI systems. Rackspace Forward Deployed Engineers remain accountable for outcomes from initial discovery through deployment, integration and ongoing scaling.
Learn more

THE ECOSYSTEM
[H2] Enterprise AI Partner Ecosystem

We have curated best-of-breed partners across every layer of the stack. Our ecosystem is deliberate, opinionated and selected for how partners integrate across the stack and how they perform within it. Everything is stitched together and governed as one system, so you can focus on outcomes instead of managing complexity.

[IMG: AMD]
[IMG: VMware by Broadcom]
[IMG: Palantir]
[IMG: UNIPHORE]
[IMG: Rubrik]
[IMG: Dell Technologies]
Explore our Partners

[H2] Ready to Get Started?
We’re experts on your side, doing what it takes to get the job done right — from the first consultation to your daily operations.

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[IMG: allcargo logo]

“Allcargo Group’s digital transformation is focused on simplifying operations. As part of the cloud migration across six data centers, transitioning to AWS has enhanced scalability, reinforced system security and ensured stable, efficient operations. Additionally, it has enhanced ECU’s disaster recovery."
Venkata Sudhakar Nagandla, SVP & Global Head, IT Infrastructure & Cloud, Allcargo Group

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[H2]
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Discover our latest insights on AI, cloud, and related technologies.

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[H3] What It Takes to Run Enterprise AI in Production and Why We Are Collaborating with AMD

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[H3] As AI Fatigue Increases, the Advantage Goes to Those Who Remain Engaged

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[H3] The Governance Gap Is the AI Gap

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[H1]
Rackspace Technology and AMD Sign Memorandum of Understanding to Establish New Category of Governed Enterprise AI Infrastructure

May 7, 2026

[IMG: AMD]

Agreement establishes framework for governed Enterprise AI Cloud built for mission-critical workloads.
SAN ANTONIO — May 7, 2026 — Rackspace Technology® (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.
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™ GPUs and EPYC™ 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.
“As enterprises move AI out of the lab and into production environments, they're asking who they can trust to run it there,” said Gajen Kandiah, CEO, Rackspace Technology. “Governing 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."
“Enterprise AI is quickly moving from experimentation to production, and that requires a compute foundation engineered for performance and efficiency at scale,” said Dan McNamara, senior vice president and general manager, Compute & Enterprise AI, AMD. “Our 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.”
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.
Enterprise AI Cloud: A fully managed, private and hybrid AI environment built on AMD Instinct™ GPUs, AMD EPYC™ CPUs, and Rackspace's governed operating model. Rackspace would assemble, integrate, and operate the full stack, from accelerated compute to AI inference and agents in production, for enterprises requiring sovereignty, compliance, and operational accountability.
Enterprise Inference Engine: A context-aware inference runtime that retains domain knowledge, session history, and enterprise-specific data context across queries, enabling AI agents and large language models to perform with the consistency and institutional memory that production environments require. Rackspace would own the SLA and take responsibility for availability, scaling, and performance, enabling organizations to run large language models and AI agents using their own proprietary data with full auditability and cost accountability.
Inference as a Service: Dedicated, managed AMD Instinct™ GPUs with developer-ready inferencing and fine-tuning toolkits delivered as a governed alternative to commodity GPU rental. The customer brings their own model and engineering team. Rackspace would provide reliable bare metal AMD Instinct capacity with operational discipline, hardware-level support, and performance SLOs.
Bare Metal AMD Instinct: Proposed dedicated, high-performance bare metal AMD Instinct compute for customers requiring physical isolation, deterministic performance, and direct hardware access for demanding and highly customized training and inference workloads.
To learn more visit: https://www.rackspace.com/enterprise-ai/partners/amd

About Rackspace Technology
Rackspace Technology® (NASDAQ: RXT) is the operator of the full enterprise AI stack from governed private cloud to AI inference and agents in production. With an Outcomes-as-a-Service model built on secure infrastructure, data foundations, and forward-deployed engineering, Rackspace delivers business results for regulated and mission-critical industries where governance, sovereignty, and uptime are non-negotiable. Learn more at www.rackspace.com.
Forward-Looking Statements
This press release contains forward-looking statements concerning Rackspace Technology and AMD, including without limitation, the anticipated benefits, scope, scale, expectations, and performance that the MOU framework may deliver (including, without limitation, the ability to deliver production-ready AI infrastructure, the timing thereof and any anticipated revenue growth); the creation of a fully managed AI environment into a unified service model; the use of current and future AMD technology for large-scale AI deployments and related market opportunities and demand expectations; the parties' respective outlooks on the AI industry; anticipated end-customer demand; the expected development, availability, deployment and performance of these solutions; the ability to deliver an outcome-aligned infrastructure service; and the expected business performance results. The MOU represents a framework for potential collaboration and does not constitute a binding commitment by either party to complete any specific transaction, financing or other commercial arrangement. No definitive agreements have been reached, discussions remain preliminary, and there can be no assurance that any such arrangements will be entered into or that the parties will reach agreement on terms, or that the anticipated benefits of the collaboration will ultimately be realized. Any third-party financing required to implement the transactions contemplated by the MOU is subject to the availability of financing on acceptable terms. There can be no assurance that any such financing will be obtained. Forward-looking statements are commonly identified by words such as "aim," "anticipate," "believe," "build," "create," "enable," "envision," "establish," "expect," "explore," "may," "intend," "plan," "position," "project," "to be," "will," "working toward," "would," and other terms with similar meaning and are made pursuant to the safe harbor provisions of the Private Securities Litigation Reform Act of 1995. These forward-looking statements are based on current expectations, estimates, and assumptions and are subject to risks and uncertainties that could cause actual results to differ materially. Investors are urged to review these and other risks and uncertainties as further described in Rackspace Technology's and AMD's respective filings with the Securities and Exchange Commission, including but not limited to the most recent reports on Form 10-K and 10-Q. Forward-looking statements speak only as of the date of this release. Neither company undertakes any obligation to update or revise such statements except as required by law.

Media Contact:
Cheryl Amerine at publicrelations@rackspace.com

[IMG: Rackspace Technology Newsroom]

[H2] Public Relations
publicrelations@rackspace.com
[H2] Industry Analyst Relations
industry-analyst-relations@rackspace.com

Press Release - Rackspace and AMDMay 7, 2026
Rackspace Featured in HyperFRAME Analyst Discussion on AI Strategy: Ecosystem Approach and Focus on Regulated MarketsApril 22, 2026
Rackspace Technology Appoints Paul Soligon and Marco Tesini to Senior Leadership Roles April 8, 2026
Rackspace Technology Research Reveals Cloud Maturity A Defining Factor in Healthcare Cyber Resilience and AI SuccessMarch 30, 2026
Rubrik and Rackspace Technology Launch Landmark Cyber Recovery Cloud for UK Public Sector and Regulated WorkloadsMarch 17, 2026

[H2] Newsroom Links

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[H2] Run enterprise AI in production with AMD’s open, high-performance AI foundation and Rackspace as the accountable operator across the stack
For organizations in healthcare, financial services and the public sector, running AI in production requires infrastructure that is governed, auditable, secure and accountable from the start. Rackspace and AMD bring that together by integrating AMD InstinctTM GPUs, EPYCTM CPUs and the ROCm software ecosystem into a governed AI stack operated by Rackspace. You get a clear, accountable path from AI experimentation to full production in the sovereign and hybrid environments where enterprise AI runs.

[IMG: AMD]
Open, high-performance AI foundation built on AMD InstinctTM GPUs, EPYCTM CPUs and ROCm
Accelerated compute designed for enterprise inference, training and production workloads
Open architecture that gives enterprises choice and avoids single-vendor lock-in
Compute foundation that underpins the full enterprise AI stack across edge and data center

[IMG: Rackspace Technology]
Governed infrastructure operated for production AI, aligning performance, resource allocation and cost
Architecture that addresses data residency, sovereignty and compliance across regulated environments
Audit-ready and operationally accountable from day one, with SLA ownership, telemetry and compliance reporting

[IMG: AMD Stack Diagram]

[H2] The full enterprise AI stack, operated by Rackspace, with AMD accelerated compute at its foundation

Rackspace and AMD bring together four integrated capabilities that span the full 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. You get a single operator accountable for every layer, calibrated to the sovereignty, performance and compliance requirements of your workload.

Enterprise AI Cloud: A fully managed, private and hybrid AI environment built on AMD Instinct™ GPUs, AMD EPYC™ CPUs and Rackspace's governed operating model. Rackspace assembles, integrates and operates the full stack from accelerated compute to AI inference and agents in production, so you can run AI in environments where sovereignty, compliance and operational accountability are non-negotiable.
Enterprise Inference Engine: A context-aware inference runtime that retains domain knowledge, session history and enterprise-specific data context across queries, so your AI agents and large language models perform with the consistency and institutional memory that production environments require. Rackspace owns the SLA and takes responsibility for availability, scaling and performance, giving you a fully auditable, cost-accountable way to run large language models and AI agents on your own proprietary data.
Inference as a Service: Dedicated, managed AMD Instinct™ GPUs and EPYC™ CPUs with developer-ready inferencing and fine-tuning toolkits, a governed alternative to commodity GPU rental. You bring your own model and engineering team. Rackspace provides reliable bare metal AMD Instinct capacity with operational discipline, hardware-level support and performance SLOs.
Bare Metal AMD Instinct: Dedicated, high-performance bare metal AMD Instinct compute for workloads that require physical isolation, deterministic performance and direct hardware access. Built for demanding and highly customized training and inference environments where standard cloud infrastructure is not enough.

[IMG: Seattle Children]

“We partnered with Rackspace because of Fanatical Experience® and their ability to provide an infrastructure to a guaranteed uptime of 99.999%, which means that our clinicians would have secure access to our EMR around the clock at the point of care.”
Dr. Zafar Chaudry, MD, Senior VP, Chief Digital Officer and Chief AI and Information Officer, Seattle Children’s Hospital

See the Case Study

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[H2]
25+ years of experience operating mission-critical infrastructure. We’re built to run what comes next.
From infrastructure to enterprise AI in production, our depth shows up in the certification our engineers hold, the platforms we’re qualified to operated and the environments we’ve kept running for the industries that trust us with their most critical systems.

2,200+

certified technical experts

10,000+

technical certifications

600+

AI platform certifications

39

data centers globally

Sales

Support

Careers

Sales

[H2]
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[H2] An Opinionated Stack. One Accountable Relationship. AI in Production.
You need a clear path to run enterprise AI in production with accountability across the stack. Rackspace delivers that with an opinionated, governed enterprise AI stack built on a private cloud foundation and operated with best-of-breed partners across every layer, including AMD, Dell, VMware, Rubrik, Palantir and Uniphore. Forward-deployed engineers embed in your environment and remain accountable from infrastructure to outcomes, so you can move enterprise AI from pilot to production with one line of accountability.

[IMG: Opinionated Stack Architecture with Partner Logos]

[H2]
Enterprise AI Cloud Ecosystem Partners

[H3] AI Platform Partners

[IMG: Palantir]
Palantir's AIP and Foundry connect enterprise data and generative AI through a unified Ontology — the layer where AI moves from prototype to production decisions. Rackspace operates Palantir wherever your data lives, with Palantir-trained Forward Deployed Engineers embedded from use case to production.
Learn more about Rackspace and Palantir →

[IMG: Uniphore]
Uniphore's Business AI Cloud unifies data, knowledge, models, and agents in a sovereign, composable platform for deploying agentic AI on your own enterprise information. Rackspace runs Uniphore alongside your existing systems, with Uniphore-trained Forward Deployed Engineers stewarding deployments from pilot to scale.
Learn more about Rackspace and Uniphore →

[IMG: AI]

[H3] Cyber Resilience

[IMG: Rubrik]
Rubrik pioneered Zero Trust Data Security, delivering cyber resilience across enterprise, cloud, and SaaS through immutable backups, threat detection, and orchestrated recovery on a single platform. Rackspace operates Rubrik in every regulated deployment, so the data your AI depends on stays governed, recoverable, and audit-ready.
Learn more about Rackspace and Rubrik →

[IMG: Cyber Resilience]

[H3] Cloud Platform

[IMG: VMware]
VMware Cloud Foundation delivers public cloud scale with on-premises security and sovereignty — now AI-native, running traditional, modern, and AI workloads on one unified private cloud stack. As a VMware Pinnacle Partner, Rackspace runs one of the largest VCF footprints in the world.
Learn more about Rackspace and VMware →

[IMG: Cloud platform]

[H3] Core Infrastructure

[IMG: AMD]
AMD Instinct GPUs and EPYC processors deliver high-memory, cost-efficient AI compute, paired with the open ROCm software stack for training and inference at scale. Rackspace integrates AMD silicon into the private cloud stack to give customers price-performance and supply chain choice without sacrificing governance.
Learn more about Rackspace and AMD →

[IMG: Dell]
The Dell AI Factory unifies PowerEdge compute, PowerScale storage, and PowerSwitch networking into an end-to-end AI infrastructure built to run on-premises, where data residency and control matter most. Rackspace and Dell co-engineer reference architectures so the infrastructure beneath your AI is built for the workload, not retrofitted to it.
Learn more about Rackspace and Dell →

[IMG: Core infrastructure]

[IMG: Seattle Children]

“We partnered with Rackspace because of Fanatical Experience® and their ability to provide an infrastructure to a guaranteed uptime of 99.999%, which means that our clinicians would have secure access to our EMR around the clock at the point of care.”

Dr. Zafar Chaudry, MD, Senior VP, Chief Digital Officer and Chief AI and Information Officer, Seattle Children’s Hospital

See the Case Study

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[H2]
25+ years of experience operating mission-critical infrastructure. We’re built to run what comes next.
From infrastructure to enterprise AI in production, our depth shows up in the certifications our engineers hold, the platforms we're qualified to operate, and the environments we've kept running for the industries that trust us with their most critical systems.

2,200+

certified technical experts

10,000+

technical certifications

400+ Palantir

certifications

150+ Uniphore

certifications

Sales

Support

Careers

Sales

[H2]
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