TCS teams up with NVIDIA for major industrial AI push, launches new Bengaluru lab

The new facility will serve as a physical AI hub to accelerate the development and real-world deployment of AI-led solutions across mobility and manufacturing using NVIDIA AI Infrastructure.

The lab, which is the first of its kind, will help enterprises move from pilots to production scale deployment to design, test and validate Industrial AI solutions.  It will enable customers to leverage TCS’ domain expertise and accelerators to rapidly prototype and simulate use cases across a wide range of industries before deploying them in real-world mobility, manufacturing and industrial operations.

Sreenivasa Chakravarti, Global Head & Vice President of Industrial Autonomy and Engineering, TCS, said, “Bengaluru has long been the engine of India’s economy, and this lab harnesses that energy to reimagine what’s possible with AI. By combining NVIDIA’s powerful AI platform with TCS’ Industrial Autonomy & Engineering capabilities, we are creating a space where ideas move rapidly from concept to real-world impact, shaping the future of mobility and industrial systems. As we move forward into our next phase and deepen our collaboration, we will build on this momentum into scaled deployment and enterprise-wide transformation for more customers, with confidence and speed.”

Alvin DaCosta, Vice President, AI Consulting Partners organization, NVIDIA, said, “As enterprises push to operationalize AI across physical operations, they require specialized infrastructure to bridge the gap between simulation and real-world deployment. Through this collaboration, the TCS Industrial Autonomy & Engineering Lab leverages the full stack NVIDIA AI platform to offer customers a scalable pathway for validating and implementing their next-generation industrial solutions.”

The lab will support enterprises in reimagining products, operations and business models by embedding intelligence across the engineering and manufacturing lifecycle. Through TCS’ Industrial Autonomy & Engineering (IA&E) capabilities, customers will be able to integrate AI into products, plants and operational systems to enable intelligent, software-defined, and autonomous enterprises.