Infosys, Intel Team Up to Scale AI Across Edge, Cloud, and Data Center

Intel and Infosys announced the next phase of a strategic collaboration that pairs Intel's compute hardware with Infosys's agentic AI services stack.

The two companies have announced the next phase of a strategic collaboration that pairs Intel’s compute hardware with Infosys’s agentic AI services stack with the explicit goal of helping enterprises convert AI experiments into production deployments at scale.

Infosys and Intel on Tuesday announced an expanded strategic collaboration aimed at helping enterprises scale AI deployments beyond the proof-of-concept phase. The announcement, published on the Infosys official newsroom, describes a joint effort combining Intel’s compute platforms with Infosys Topaz Fabric, a multi-layer agentic services suite that unifies infrastructure, models, data, applications, and workflows into what the companies call a composable, agent-ready ecosystem.

The collaboration brings together Intel’s Xeon processors, Gaudi AI accelerators, and AI PCs with Infosys’s services layer. The two companies say they are co-innovating on the design, development, optimisation, and benchmarking of AI workloads across this hardware lineup. A central emphasis in the announcement is what the companies call right-sized AI architectures, a framing that prioritizes balancing performance, security, and total cost of ownership rather than raw compute power alone.

The stated ambition is to close the well-documented gap between AI pilots and production. Many large enterprises have run AI experiments that have not translated into operational systems, a pattern the two companies are explicitly positioning this collaboration to address. The combined solution covers data integration, model management, performance monitoring, and built-in security, and is designed to work across edge, cloud, and data centre environments. It also supports advanced AI agents that can access enterprise data, coordinate tasks, and operate with appropriate controls in complex and regulated environments.

Target use cases cited in the release are IT operations, developer productivity, and automation workflows across industries. No specific client names, deployment timelines, or financial terms were disclosed.

Our collaboration with Intel reflects Infosys’ commitment to embedding AI deeply and responsibly across enterprise operations…This aims to help our clients institutionalize AI at the core of their operations and transform their AI journey.
Salil Parekh, Chief Executive Officer, Infosys

What each party brings

Intel contributes the compute layer. Its Gaudi AI accelerators are the company’s primary answer to Nvidia’s dominance in AI training and inference workloads. The inclusion of Intel AI PCs signals that the collaboration extends to the enterprise device layer, not just data centre infrastructure. The joint effort also aims to advance open standards across the edge-to-cloud stack, a positioning that implicitly differentiates from proprietary, closed AI infrastructure approaches.

Infosys brings the services and deployment layer through Topaz Fabric. With over 330,000 employees across 63 countries, it has the scale to take a jointly developed architecture and roll it out across a large global enterprise client base. The company has been building Topaz Fabric as a connective layer across a growing number of AI partnerships. It has announced separate collaborations with Anthropic, Cognition, and Cursor in recent months, all oriented around agentic AI capabilities.

Intel CEO Lip-Bu Tan described the collaboration as focused on delivering performance-optimised, energy-efficient, and open AI solutions that clients can deploy wherever their workloads reside from data centres to the cloud to the edge. The emphasis on openness and energy efficiency reflects two pressure points the enterprise AI market is navigating: vendor lock-in risk and the rising power costs associated with large-scale AI inference.

Working closely with Infosys allows us to bring the power of Intel’s AI hardware ecosystem to enterprises globally. Together, we are delivering performance-optimized, energy-efficient, and open AI solutions that clients can deploy wherever their workloads reside — from data centers to the cloud to the edge.
Lip-Bu Tan, Chief Executive Officer, Intel

The Intel collaboration is different in scope from Infosys’s recent software-layer partnerships. It sits at the infrastructure level and covers hardware co-innovation and benchmarking. This shows a deeper technical integration than most of the company’s recent AI announcements. Infosys has flagged AI services as a core growth driver for the current fiscal year, and the Topaz Fabric platform has become the company’s primary vehicle for making that ambition concrete through enterprise deployments.

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