TCS and AMD join forces to transition enterprise AI from pilot to production

Tata Consultancy Services (TCS) and AMD have announced a strategic collaboration to help global enterprises move artificial intelligence initiatives beyond the trial phase. The partnership aims to modernize legacy IT environments and build high-performance digital workplaces capable of supporting large-scale AI workloads.

This collaboration combines the systems integration expertise of TCS with the hardware portfolio of AMD. Together, the companies will focus on co-developing generative AI (GenAI) solutions tailored for specific industries, including life sciences, manufacturing, and financial services.

Building industry-specific frameworks

The two tech leaders are developing specialized GenAI frameworks to solve complex challenges in three key sectors:

• Life Sciences: Focused on accelerating drug discovery by analyzing vast datasets to identify promising compounds.

• Manufacturing: Deploying cognitive quality engineering and smart manufacturing tools to automate factory oversight and reduce waste.

• BFSI (Banking, Financial Services, and Insurance): Implementing intelligent risk management systems that use AI to detect fraud and predict market volatility in real time.

High-performance infrastructure for the AI era

To support these software frameworks, the partnership leverages the full spectrum of AMD hardware. TCS will integrateAMD Ryzen CPUs to transform digital workplaces, providing employees with local AI processing power. For data centers, the collaboration utilizes AMD EPYC CPUs and AMD Instinct GPUs. These components provide the heavy-duty computing needed for training large language models and running complex inference tasks.

The companies are also targeting "edge" innovation—processing data where it is created, such as on a factory floor or in a hospital. Using AMD's adaptive System on Chips (SoCs) and Field Programmable Gate Arrays (FPGAs), TCS will help clients build responsive systems that do not rely solely on a distant cloud.

Talent and workforce development

A significant pillar of this agreement involves upskilling. TCS plans to rapidly certify its associates on the latest AMD hardware and software stacks. This move adds to TCS's growing pool of AI-ready talent, which recently surpassed 200,000 employees. By jointly investing in talent, both companies aim to build a deep bench of experts who can co-innovate with clients on-site.

Dr. Lisa Su, Chair and CEO of AMD, noted that unlocking AI’s potential requires a "new scale of high-performance computing." TCS CEO K. Krithivasan added that the collaboration enables organizations to move from "AI experimentation to AI at scale and deployment."

Driving hybrid cloud modernisation

Many organizations struggle to scale AI because of outdated legacy systems. The TCS-AMD alliance provides tailored accelerators and best practices to modernize these hybrid cloud environments. By optimizing performance across both training and inference workloads, the partnership helps ensure that enterprises can maintain security while benefiting from the speed of modern AI accelerators.

This announcement comes as TCS reports a significant jump in AI-related revenue, signaling that 2026 is becoming a transformative year for full-stack AI adoption in the corporate world.