Unisys and Rafay Methods Accomplice to Ship Scalable AI Throughout Hybrid and Regulated Environments

The collaboration helps AI adoption with a unified method to safety, compliance, and operational effectivity

Unisys has partnered with Rafay Methods, a frontrunner in infrastructure orchestration for AI and cloud-native workloads, to assist enterprises handle and scale fashionable cloud and complicated end-to-end AI deployments throughout public, non-public and hybrid environments. This collaboration combines Unisys’ AI experience and managed cloud companies with Rafay’s self-service platform to assist organizations operationalize ruled AI with higher consistency, safety and management.

Enterprises are adopting AI and cloud-native applied sciences at an accelerated tempo whereas navigating rising regulatory, safety and operational necessities, but solely 36% say they’re able to assist giant‑scale AI workloads. By the partnership, Unisys and Rafay are addressing this problem by delivering a unified clever AI software program layer – spanning brokers, fashions and modular AI infrastructure. This software-as-a-service mannequin supplies flexibility and consistency to organizations managing a number of deployments of AI, whatever the use case. The partnership additionally allows Unisys to assist AI and graphics processing models (GPUs) intensive workloads throughout hybrid environments by Rafay’s ruled, self-service capabilities, embedded seamlessly inside broader cloud and utility operations. This method helps organizations combine AI workloads into current environments and undertake agentic frameworks, workflows, and capabilities with confidence.

“We’re pleased with the partnership with Rafay and our shared mission to allow organizations to maneuver past proof of idea, making AI-powered innovation scalable, operational and sustainable,” stated Manju Naglapur, senior vp and normal supervisor, Cloud, Functions & Infrastructure (CA&I), Unisys. “This unified method reduces complexity and helps our purchasers confidently navigate compliance calls for amidst innovation whereas optimizing prices and management throughout hybrid environments.”

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Extra advantages of the Unisys and Rafay partnership embrace:

• Simplified deployment, lifecycle administration, and governance to assist purchasers shift AI from experimentation to manufacturing inside fashionable utility environments.
• Hybrid cloud orchestration for on-premises, edge, and public environments together with Kubernetes orchestration and value optimization suite.
• Better monetary visibility and management with Rafay’s enterprise-grade metering, AI token pricing and all access-control. Rafay is an trade contributor in growing requirements that permit their prospects to quickly deploy AI stacks geared up for token-metered pricing from day one.
• Assist for AI workloads, together with non-public AI, working inside hybrid and controlled environments, together with on-premises, edge, and cloud deployments, with built-in safety and governance.

“Rafay is proud to assist ruled AI capabilities delivered throughout Unisys’ Cloud, Functions & Infrastructure portfolio, serving to enterprises speed up safe AI adoption by turnkey, enterprise-ready capabilities and expertise,” stated Haseeb Budhani, chief govt officer and co-founder, Rafay Methods. “Our orchestration expertise powers the muse’s skill to ship GPU and AI companies inside enterprise environments as simply consumable, ruled, and self-service experiences. Along with Unisys, we’re enabling organizations to operationalize AI quicker—with out compromising compliance, effectivity, or management.”