Infosys and Intel have expanded their partnership to develop an “agent-ready” artificial intelligence ecosystem aimed at helping enterprises move AI initiatives from experimental pilots to large-scale production deployments.
The collaboration combines Intel’s computing platforms with Infosys Topaz Fabric, an AI framework designed to integrate enterprise infrastructure, data, models and applications into a unified architecture capable of supporting AI-driven workflows. The companies said the initiative focuses on building scalable systems that allow businesses to deploy and manage AI workloads more effectively across cloud, data-centre and edge environments.
According to the announcement, Infosys Topaz Fabric functions as a multi-layer AI framework that brings together infrastructure, models, enterprise data and application workflows into what the company describes as a “composable” environment for AI agents and automation tools. The architecture is intended to simplify the deployment of enterprise AI systems that require coordination between multiple software and data components.
Under the expanded collaboration, Infosys and Intel will work jointly on the design and enhancement of AI workloads across Intel hardware platforms, including Xeon processors, Gaudi AI accelerators and AI-enabled personal computers.
Infosys’ broader AI strategy is centred on its Topaz portfolio, which includes AI services, platforms and tools built around generative AI and data analytics technologies. The company has developed thousands of AI assets and models inside the framework to support enterprise applications across industries.
Intel, meanwhile, has been expanding its AI hardware portfolio while global demand for AI infrastructure grows. The collaboration with Infosys forms part of the chipmaker’s effort to boost its presence in enterprise AI deployments beyond traditional data-centre markets.
The two companies did not disclose financial terms for the collaboration or specify timelines for deployment, but said the joint effort would focus on enabling enterprises to build production-ready AI systems capable of operating across multiple computing environments.
