Unisys and Rafay Systems Partner for AI Across Hybrid and Regulated Environments
Thursday, May 21, 2026
Unisys has partnered with Rafay Systems, a provider of infrastructure orchestration for AI and Cloud-native workloads, to help enterprises manage and scale modern cloud and complex end-to-end AI deployments across public, private and hybrid environments. This collaboration combines Unisys’ AI expertise and managed Cloud services with Rafay’s self-service platform to help organisations operate governed AI with greater consistency, security and control. Contd
Enterprises are adopting AI and Cloud-native technologies at an accelerated pace while navigating increasing regulatory, security and operational requirements, yet only 36% say they are ready to support large scale AI workloads. Through the partnership, Unisys and Rafay are addressing this challenge by delivering a unified intelligent AI software layer – spanning agents, models and modular AI infrastructure. This software-as-a-service model provides flexibility and consistency to organisations managing multiple deployments of AI, regardless of the use case. The partnership also enables Unisys to support AI and graphics processing units (GPUs) intensive workloads across hybrid environments through Rafay’s governed, self-service capabilities, embedded seamlessly within broader cloud and application operations. This approach helps organisations integrate AI workloads into existing environments and adopt agentic frameworks, workflows and capabilities with confidence.
Through the partnership, Unisys and Rafay are addressing this challenge by delivering a unified intelligent AI software layer – spanning agents, models and modular AI infrastructure. This software-as-a-service model provides flexibility and consistency to organisations managing multiple deployments of AI, regardless of the use case. The partnership also enables Unisys to support AI and graphics processing units (GPUs) intensive workloads across hybrid environments through Rafay’s governed, self-service capabilities, embedded seamlessly within broader Cloud and application operations. This approach helps organisations integrate AI workloads into existing environments and adopt agentic frameworks, workflows, and capabilities with confidence.
