Rackspace Technology

AI winners won't simply own GPUs. They'll own outcomes. In a recent Q&A with Benzinga, Rackspace CFO Mark Marino shared his perspective on several themes shaping enterprise AI today, including: • Governed infrastructure for regulated industries • Operational accountability across the AI stack • Healthcare's role in moving AI into production • Why sovereign AI demand continues to grow Read the full interview: https://bit.ly/44vTMPa.

AI agents are creating new opportunities across the enterprise, helping organizations automate workflows, improve productivity and support faster decision-making. As adoption continues to grow, conversations are expanding beyond what AI agents can do to how they can be governed, deployed and operated at scale. Together with Uniphore, Rackspace helps organizations bring agentic AI into production with a governed approach designed for enterprise environments. Vote in the poll and tell us what's driving the conversation within your organization in the comments. 👇

Across financial services, organizations are continuing to invest in modernization, digital transformation and AI initiatives to support future growth and innovation. As these opportunities expand, leaders are increasingly focused on how to prioritize investments, allocate resources and sequence transformation efforts to maximize business value. Success is often determined not by the number of initiatives underway, but by understanding which ones will create the greatest impact for customers, employees and the business. So, what are the key challenges currently facing financial services organizations? During the Banking Transformation Summit Series in London, Rackspace CTO Simon Bennett shared what he's hearing from customers and industry leaders. Explore more insights on AI in financial services: https://lnkd.in/evjqMDyr

We're proud to be recognized as a Leader in two categories of the 2026 ISG Provider Lens® Private/Hybrid Cloud – Data Center Services Report. The shift from AI experimentation to AI in production requires more than infrastructure alone. It requires governed operations, resilient platforms and deployment flexibility across complex enterprise environments. ISG (Information Services Group) recognized Rackspace Technology for AI-ready Infrastructure Managed Services and Managed Cloud Hosting and Resilient Infrastructure Services, highlighting the capabilities organizations rely on to operationalize AI across private, hybrid and sovereign cloud environments. See why ISG recognized Rackspace as a Leader: https://bit.ly/3ThpBst.

Enterprise AI is reshaping infrastructure strategies as organizations look to support traditional applications alongside cloud-native and AI workloads. Bringing those environments together requires more than modern infrastructure. It requires a consistent operating model that accounts for lifecycle management while supporting governance, scalability and performance. See how VMware Cloud Foundation, operated by Rackspace, supports AI-ready private cloud for modern enterprise workloads: https://lnkd.in/eRBhkPZ8

SiliconANGLE & theCUBE's latest coverage of AMD explores what's required to run enterprise AI in production, including AMD's collaboration with Rackspace Technology to combine governed AI infrastructure with a single accountable operator. Together, AMD provides the compute while Rackspace Technology serves as the accountable operator across the enterprise AI stack, helping regulated and sovereign organizations deploy AI with governance, security and operational accountability. Read the article: https://bit.ly/4eYs8io.

At Rackspace, our Core Values guide how we work, collaborate, and support customers worldwide. The Racker to the Core Award recognizes team members who consistently bring those values to life through excellence, customer-driven thinking, expertise, agility and compassion. For Q1 2026, we’re proud to recognize Rackers whose impact spans across teams. Congratulations to our winners: David Morales, Customer Success Manager Christopher Iwanski, DC Ops Technician Kristen Shubilla, Manager of Strategic Operations Each of these Rackers was nominated by their peers for going above and beyond, solving challenges creatively, supporting their teams and making a meaningful impact across the business. As Rackspace continues to help customers run enterprise AI and scale outcomes across the full stack, it is especially meaningful to recognize Rackers whose work reflects the innovation, agility and customer focus that progress requires. Thank you for the dedication you bring to Rackspace every day. Please join us in celebrating our Q1 Racker to the Core Award winners 👏

Rackspace Technology and Palantir Technologies have launched an operating framework to help regulated and sovereign enterprises own and operate AI in production. For IT leaders, the goal is direct: help move AI into production where control over data, security, governance and deployment location shapes how systems must run. Delivered through Rackspace, the framework combines Palantir Foundry and AIP with governed private cloud, sovereign cloud, on-prem infrastructure, certified Forward Deployed Engineers (FDEs) and managed operations. Under the framework, Rackspace provides the governed infrastructure, FDEs and managed operations that take Palantir Foundry and AIP into production. The momentum is already building. Since announcing the partnership in February, Rackspace has scaled to approximately 400 Palantir certifications across sales, engineering, delivery and operations. The first joint deployment closed in less than two months and helped deliver a 94% reduction in quote cycle time for a U.S.-based solar tracking manufacturer. Learn more: https://lnkd.in/e23MPztJ.

Enterprise AI isn't built on a single layer of the technology stack. Production environments rely on infrastructure, cloud platforms, cyber resilience and AI platforms working together as a connected ecosystem. That's why Rackspace built an enterprise AI cloud ecosystem with technologies that support every layer of the stack, from foundational infrastructure through AI deployment and operations. Explore the partner ecosystem: https://bit.ly/4feexVB.

A lot of organizations are already comfortable using AI for productivity, but what becomes more complex is scaling AI across workflows, approvals, operations and business systems. That is the shift Microsoft 365 E7 is pointing toward. In this article, Adolfo Jaquez Vergara, Product Manager at Rackspace Technology walks through how Microsoft is combining Copilot, AI agents, identity and governance into a more connected operational model. Organizations that treat AI as an operational capability rather than a standalone tool are better positioned to scale securely and generate long-term value. View Adolfo’s full perspective: https://bit.ly/43DAhn7. Microsoft 365