Shares of Infosys rose nearly 2% in early trade on Wednesday (IST) after the company announced the next phase of its strategic collaboration with Intel aimed at helping enterprises move from AI pilots to full-scale production deployments.
The expanded partnership combines Intel’s high-performance, energy-efficient computing platforms with Infosys Topaz Fabric, a purpose-built agentic services suite designed to support enterprise-scale artificial intelligence adoption. The initiative aims to help organisations deploy AI solutions more efficiently while maintaining strong performance, security, and cost efficiency.
According to the announcement, Infosys Topaz Fabric functions as a multi-layer AI architecture that unifies infrastructure, AI models, enterprise data, applications, and workflows into a composable and agent-ready ecosystem. This structure is designed to simplify AI integration across businesses while enabling scalable and flexible deployments.
The collaboration integrates Intel’s open and scalable hardware and software stack with the modular architecture of Infosys Topaz Fabric. Together, the two companies aim to advance open standards across the edge-to-cloud ecosystem, enabling enterprises to build scalable and secure AI systems with measurable operational impact.
As part of the partnership, Infosys and Intel are co-innovating in the design, development, optimisation, and benchmarking of AI workloads across several Intel platforms. These include Intel Xeon processors, Intel Gaudi AI accelerators, and Intel AI PCs, which are designed to support demanding enterprise AI workloads.
The collaboration focuses on building “right-sized” AI architectures, which aim to balance performance, security, and total cost of ownership. Such systems are expected to support mission-critical applications including IT operations management, developer productivity, and enterprise automation workflows across industries.
Additionally, the joint solution integrates data integration, model management, performance monitoring, and built-in security features to help organisations transition AI projects from experimentation to real-world deployment.
The platform also supports advanced AI agents capable of accessing enterprise data, coordinating tasks, and operating with built-in governance controls. This capability is expected to make it easier for companies to deploy AI securely across complex and highly regulated environments powered by Intel’s computing platforms.