AI & Emerging Tech
Infosys and Intel join forces to accelerate enterprise AI adoption at scale

Infosys and Intel expand collaboration to help enterprises move AI projects from pilot stages to large-scale deployment using optimised hardware and AI platforms.
Infosys and Intel have expanded their strategic collaboration to help enterprises move artificial intelligence initiatives from pilot projects to large-scale deployment, as companies increasingly seek to embed AI across core business operations.
The partnership integrates Infosys Topaz Fabric, the company’s agentic AI services suite, with Intel’s high-performance computing stack, including Intel Xeon processors, Intel Gaudi AI accelerators and Intel AI PCs.
The companies said the collaboration is designed to help organisations scale AI workloads more efficiently while balancing performance, security and total cost of ownership.
Bridging the gap between AI pilots and production
Enterprises worldwide have launched numerous AI pilot programmes in recent years, but many have struggled to move these projects into full production.
The expanded collaboration aims to address that challenge by co-designing and optimising AI workloads across Intel’s compute platforms and Infosys’ AI services ecosystem, enabling businesses to deploy AI solutions at scale.
Infosys said the partnership combines hardware-level optimisation with platform-led services integration, allowing organisations to manage infrastructure, models, data and workflows through a unified AI environment.
The companies will focus particularly on mission-critical enterprise applications, including IT operations, developer productivity and automation workflows.
Integrating infrastructure and AI services
Under the collaboration, Infosys Topaz Fabric will work alongside Intel’s compute infrastructure to create a more tightly integrated AI ecosystem.
The architecture links Intel’s processors and AI accelerators with Infosys’ software and services capabilities, allowing enterprises to build “right-sized” AI architectures tailored to their operational needs.
Such systems are designed to deliver scalable performance while reducing infrastructure complexity and operational costs.
The partnership also aims to deepen Infosys’ role within enterprise technology environments by positioning the company closer to clients’ AI infrastructure stack, potentially improving long-term deal visibility as AI adoption expands.
Leadership views on the collaboration
Salil Parekh, chief executive officer of Infosys, said the partnership reflects the company’s broader ambition to integrate AI more deeply across enterprise operations.
“Our collaboration with Intel reflects Infosys’ commitment to embedding AI deeply and responsibly across enterprise operations,” Parekh said.
“By bringing together Intel’s compute leadership and the capabilities of Infosys Topaz, we are enabling enterprises to unlock AI value at scale securely, cost-effectively and with clear business impact.”
Market context and financial performance
The announcement came as Infosys shares rose 1.06% to ₹1,301.85, reflecting investor interest in the company’s expanding AI capabilities.
Infosys, a global provider of digital services and consulting, has been investing heavily in AI platforms and enterprise transformation programmes as businesses increase spending on automation and advanced analytics.
The company recently reported a 9.6% decline in consolidated net profit to ₹6,654 crore for the third quarter of FY26, while revenue from operations rose 2.22% sequentially to ₹45,479 crore.
AI infrastructure race intensifies
The partnership highlights a broader industry trend in which technology companies are combining hardware infrastructure, software platforms and consulting services to help enterprises operationalise artificial intelligence.
For enterprises, the challenge increasingly lies not in experimenting with AI but in deploying it reliably across large, complex IT environments.
By integrating compute infrastructure with AI services, Infosys and Intel are aiming to position themselves at the centre of that transition.
As organisations move from experimentation to full-scale adoption, the demand for scalable, secure and cost-efficient AI infrastructure is expected to become one of the defining technology trends of the coming decade.
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