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Unisys and Rafay Systems Forge Partnership to Simplify AI Workloads Across Hybrid Clouds
On May 20 2026, Unisys Corporation (NYSE: UIS), a global IT solutions provider headquartered in Blue Bell, Pennsylvania, announced a partnership with Rafay Systems, a cloud‑orchestration platform company. The collaboration aims to give enterprises a unified software layer that simplifies the deployment and lifecycle management of AI agents and GPU‑intensive workloads across public, private, and hybrid cloud environments.
The new platform combines Unisys’ expertise in AI and enterprise security with Rafay’s infrastructure‑as‑code orchestration. It offers a self‑service interface that automates key tasks such as hybrid‑cloud provisioning, cost‑tracking through enterprise‑grade metering, and governance controls that align with regulatory and security requirements. The solution is designed to help customers move AI initiatives from experimentation into production, providing the consistency and visibility needed to manage large‑scale deployments.
Unisys has long focused on cloud, digital transformation, and cybersecurity services for government, financial‑services, and transportation clients. The company’s 2026 investor day highlighted an “AI‑first” strategy, noting that AI is accelerating mainframe workload growth and that the firm is expanding its portfolio across enterprise computing, cloud, and applications. In January 2026, Unisys released a “Top IT Insights for 2026” report that identified focused AI deployments, cloud workload optimization, and security recovery speed as key trends.
Rafay Systems, known for simplifying hybrid‑cloud, Kubernetes, and AI workloads on Amazon Web Services, has positioned its platform as a tool for improving governance, speed, and cost efficiency. The partnership builds on Rafay’s existing capabilities by adding AI‑specific features such as automated policy enforcement for model usage and GPU resource allocation.
The combined offering addresses several challenges that enterprises face when scaling AI. First, it provides a single point of control for deploying AI workloads across multiple cloud providers, reducing the operational burden of managing disparate environments. Second, the platform’s metering and cost‑tracking features give organizations real‑time visibility into GPU usage and associated expenses, helping to keep AI projects within budget. Third, the automated governance layer supports compliance with regulations such as the EU AI Act and NIST AI Risk Management Framework, which are increasingly relevant for data‑sensitive industries.
Industry analysts note that the partnership could be particularly valuable for sectors that must balance innovation with strict regulatory oversight. For example, financial services firms that use AI for credit scoring or fraud detection need to demonstrate auditability and fairness, while transportation operators deploying AI for predictive maintenance must meet safety standards.
Unisys has a history of award‑winning customer experience initiatives. In 2024, the company received a Gold Award for Best Customer Experience Practice, underscoring its focus on service quality. The partnership with Rafay is presented as a continuation of that commitment, offering customers a streamlined path to operationalize AI.
The collaboration was announced through a joint press release and a brief statement from Unisys executives. While the release did not include detailed pricing or rollout timelines, it emphasized the platform’s ability to standardize AI infrastructure for production workloads.
As AI adoption accelerates, the need for reliable, compliant, and cost‑effective deployment tools grows. The Unisys‑Rafay partnership represents a concrete step toward meeting that need, providing enterprises with a self‑service solution that integrates AI expertise, cloud orchestration, and governance.
Looking ahead, Unisys plans to continue expanding its AI capabilities, as indicated by its 2026 investor day agenda and the forthcoming release of new AI‑driven services. The partnership with Rafay is expected to accelerate the deployment of those services across the company’s existing client base.
In summary, the May 20 partnership between Unisys and Rafay Systems delivers a unified platform that addresses the operational, financial, and regulatory challenges of scaling AI workloads in hybrid cloud environments. The collaboration aligns with Unisys’s AI‑first strategy and Rafay’s focus on cloud orchestration, positioning both companies to serve enterprises that require robust, compliant AI deployment solutions.
The new platform combines Unisys’ expertise in AI and enterprise security with Rafay’s infrastructure‑as‑code orchestration. It offers a self‑service interface that automates key tasks such as hybrid‑cloud provisioning, cost‑tracking through enterprise‑grade metering, and governance controls that align with regulatory and security requirements. The solution is designed to help customers move AI initiatives from experimentation into production, providing the consistency and visibility needed to manage large‑scale deployments.
Unisys has long focused on cloud, digital transformation, and cybersecurity services for government, financial‑services, and transportation clients. The company’s 2026 investor day highlighted an “AI‑first” strategy, noting that AI is accelerating mainframe workload growth and that the firm is expanding its portfolio across enterprise computing, cloud, and applications. In January 2026, Unisys released a “Top IT Insights for 2026” report that identified focused AI deployments, cloud workload optimization, and security recovery speed as key trends.
Rafay Systems, known for simplifying hybrid‑cloud, Kubernetes, and AI workloads on Amazon Web Services, has positioned its platform as a tool for improving governance, speed, and cost efficiency. The partnership builds on Rafay’s existing capabilities by adding AI‑specific features such as automated policy enforcement for model usage and GPU resource allocation.
The combined offering addresses several challenges that enterprises face when scaling AI. First, it provides a single point of control for deploying AI workloads across multiple cloud providers, reducing the operational burden of managing disparate environments. Second, the platform’s metering and cost‑tracking features give organizations real‑time visibility into GPU usage and associated expenses, helping to keep AI projects within budget. Third, the automated governance layer supports compliance with regulations such as the EU AI Act and NIST AI Risk Management Framework, which are increasingly relevant for data‑sensitive industries.
Industry analysts note that the partnership could be particularly valuable for sectors that must balance innovation with strict regulatory oversight. For example, financial services firms that use AI for credit scoring or fraud detection need to demonstrate auditability and fairness, while transportation operators deploying AI for predictive maintenance must meet safety standards.
Unisys has a history of award‑winning customer experience initiatives. In 2024, the company received a Gold Award for Best Customer Experience Practice, underscoring its focus on service quality. The partnership with Rafay is presented as a continuation of that commitment, offering customers a streamlined path to operationalize AI.
The collaboration was announced through a joint press release and a brief statement from Unisys executives. While the release did not include detailed pricing or rollout timelines, it emphasized the platform’s ability to standardize AI infrastructure for production workloads.
As AI adoption accelerates, the need for reliable, compliant, and cost‑effective deployment tools grows. The Unisys‑Rafay partnership represents a concrete step toward meeting that need, providing enterprises with a self‑service solution that integrates AI expertise, cloud orchestration, and governance.
Looking ahead, Unisys plans to continue expanding its AI capabilities, as indicated by its 2026 investor day agenda and the forthcoming release of new AI‑driven services. The partnership with Rafay is expected to accelerate the deployment of those services across the company’s existing client base.
In summary, the May 20 partnership between Unisys and Rafay Systems delivers a unified platform that addresses the operational, financial, and regulatory challenges of scaling AI workloads in hybrid cloud environments. The collaboration aligns with Unisys’s AI‑first strategy and Rafay’s focus on cloud orchestration, positioning both companies to serve enterprises that require robust, compliant AI deployment solutions.
