Infosys and Intel have announced the next phase of their strategic collaboration aimed at helping enterprises transition from experimental AI pilots to production-scale deployments. The partnership combines Intel’s high-performance, energy-efficient compute platforms with Infosys’ Topaz Fabric, a multi-layer agentic AI services suite designed to unify infrastructure, data, models, applications, and workflows into a composable AI ecosystem.
The collaboration is designed to advance open standards across the edge-to-cloud computing stack while enabling organizations to deploy AI in a scalable, secure, and cost-efficient manner. By combining Infosys’ software-led AI orchestration capabilities with Intel’s hardware ecosystem, the initiative targets measurable improvements in enterprise AI adoption across industries.
At the core of the collaboration is Infosys Topaz Fabric, which integrates infrastructure, models, data pipelines, and applications into a unified agent-ready architecture. This is paired with Intel’s scalable compute portfolio, including Intel Xeon processors, Intel Gaudi AI accelerators, and Intel AI PCs, enabling optimized performance across diverse AI workloads.
The approach emphasizes “right-sized” AI architectures, ensuring enterprises can balance performance, security, and total cost of ownership. This makes it easier to deploy AI in production environments where reliability and predictability are critical.
A key objective of the collaboration is to eliminate the gap between proof-of-concept AI deployments and real-world enterprise production systems. The integrated solution provides capabilities such as data integration, model management, performance monitoring, and built-in security.
It also enables advanced AI agents capable of accessing enterprise data, coordinating tasks, and operating within governed environments. These capabilities are particularly relevant for IT operations, developer productivity, and enterprise automation workflows.
The collaboration also focuses on extending AI capabilities across the edge-to-cloud continuum. By leveraging Intel’s open hardware and software stack, enterprises can deploy workloads flexibly across data centers, cloud environments, and edge infrastructure.
This ensures that AI applications remain efficient, scalable, and adaptable to varying enterprise requirements while maintaining security and compliance in regulated environments.
Salil Parekh, Chief Executive Officer of Infosys, emphasized that the collaboration reflects a commitment to embedding AI responsibly across enterprise operations, enabling organizations to scale AI securely and cost-effectively while driving measurable business outcomes through Infosys Topaz.
Lip-Bu Tan, Chief Executive Officer of Intel, highlighted that the partnership brings Intel’s AI hardware ecosystem to global enterprises, enabling performance-optimized and energy-efficient AI solutions that can be deployed across data centers, cloud, and edge environments.
The collaboration is positioned to support mission-critical enterprise use cases including IT operations automation, developer productivity enhancement, and workflow orchestration across industries. By combining compute optimization with agentic AI frameworks, the solution aims to improve operational efficiency while reducing deployment complexity.
The expanded Infosys and Intel collaboration reflects a broader industry shift toward production-grade enterprise AI systems. By aligning hardware innovation with agentic AI software frameworks, the partnership is focused on enabling scalable, secure, and efficient AI adoption across global enterprises.
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