Unisys and Rafay Systems Collaborate to Enhance AI Across Hybrid Environments
In a groundbreaking collaboration, Unisys, a prominent technology solutions provider, has teamed up with Rafay Systems, a recognized leader in infrastructure orchestration for AI and cloud-native workloads. This partnership aims to assist enterprises in managing and scaling modern AI deployments across various environments—public, private, and hybrid.
The increasing demand for AI and cloud-native technologies is evident, particularly as organizations seek to meet heightened regulatory, security, and operational requirements. Alarmingly, only 36% of these enterprises feel adequately prepared to support large-scale AI workloads. To address these pressing challenges, Unisys and Rafay have introduced a unified AI software layer, which integrates agents, models, and modular AI infrastructure. This Software as a Service (SaaS) model bestows organizations with the flexibility and consistency needed to oversee multiple AI deployments, irrespective of their unique requirements.
One of the significant aspects of this partnership is its focus on simplifying the management of AI and GPU-intensive workloads across various hybrid environments. Through Rafay's self-service capabilities, which are seamlessly integrated into a broader cloud and application framework, organizations can confidently incorporate AI workloads into their existing infrastructures. This capacity enables them to adopt agentic frameworks, workflows, and capabilities more readily.
Manju Naglapur, Senior Vice President and General Manager of Unisys' Cloud, Applications & Infrastructure division, expressed pride in this partnership. She emphasized the collective mission to help organizations transition from mere proof of concept to scalable, operational, and sustainable AI innovation. Naglapur highlighted that this comprehensive approach minimizes complexity, facilitating clients' navigation through compliance demands while optimizing their costs and exerting better control over hybrid environments.
Key Benefits of the Partnership
Among the numerous advantages offered by the collaboration between Unisys and Rafay are:
- - Streamlined Deployment and Lifecycle Management: Organizations can easily transition AI from experimental stages to production within modern application environments.
- - Comprehensive Hybrid Cloud Orchestration: Management of on-premises, edge, and public environments is greatly enhanced, aided by Kubernetes orchestration and a cost optimization suite.
- - Enhanced Financial Control: Rafay’s enterprise-grade metering and AI token pricing provide transparent financial oversight, reflecting an industry commitment to establishing standards that enable rapid deployment of AI stacks from day one.
- - Support for Diverse AI Workloads: The partnership offers a robust framework for private and regulated AI applications, reinforcing security and governance across on-premises, edge, and cloud deployments.
Haseeb Budhani, CEO and co-founder of Rafay Systems, emphasized the critical role that their orchestration technology plays in enhancing AI capabilities delivered through Unisys’ portfolio. This collaboration simplifies the deployment of GPU and AI services, offering organizations immediate access to governed, self-service experiences. Budhani affirmed that together, they are committed to expediting the operationalization of AI while ensuring compliance, efficiency, and control remain uncompromised.
As AI continues to evolve, partnerships such as these pave the way for enhanced operational capabilities and provide businesses with the tools necessary for navigating a complex technological landscape. For additional insights into the solutions offered by Unisys and Rafay Systems, be sure to explore their respective platforms and discover how they are transforming the AI landscape for enterprises around the globe.