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HCLTech and Nvidia Launch Innovation Lab in California to Accelerate Physical AI Adoption

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Published on 17th November 2025, 1:16 PM

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Author

Akshat Lakshkar | Whalesbook News Team

Overview

HCLTech, in partnership with chipmaker Nvidia, has opened a new innovation lab in Santa Clara, California. This facility aims to help enterprises explore, develop, and scale applications of physical AI and cognitive robotics by combining Nvidia's advanced technology stack with HCLTech's AI solutions. The lab will support G2000 organizations in bringing AI ambitions to operational reality, enhancing industrial automation and competitiveness.

HCLTech and Nvidia Launch Innovation Lab in California to Accelerate Physical AI Adoption

Stocks Mentioned

HCL Technologies Ltd.

HCL Technologies Ltd. has collaborated with chipmaker Nvidia to launch an innovation lab in Santa Clara, California.

Purpose: The lab is designed to assist enterprises in exploring, incubating, and scaling industry applications of physical AI and cognitive robotics. It aims to bridge the gap between digital simulation and real-world deployment for complex autonomous systems.

Integration: This new facility is integrated into HCLTech’s global AI Lab network. It combines Nvidia’s comprehensive technology offerings, including platforms like Nvidia Omniverse, Nvidia Metropolis, Nvidia Isaac Sim, Nvidia Jetson, and Nvidia Holoscan, with HCLTech’s proprietary physical AI solutions such as VisionX, Kinetic AI, IEdgeX, and SmartTwin.

Target Audience & Benefits: The lab specifically targets G2000 organizations, enabling them to experiment with, develop, test, and validate advanced AI-driven solutions. This initiative is expected to enhance their competitiveness, boost productivity, resilience, and sustainability in real-world operations through robotics, automation, safety, and operational intelligence.

Executive Quotes:

  • Deepu Talla, VP of Robotics and Edge AI at Nvidia, highlighted that the lab helps enterprises turn AI ambitions into operational reality by developing and validating complex autonomous systems.
  • Vijay Guntur, CTO and Head of Ecosystems at HCLTech, emphasized the collaboration strengthens their synergy in physical AI, empowering enterprises to reimagine physical operations and drive breakthroughs.

Impact: This development signifies a strategic deepening of the partnership between HCLTech and Nvidia, positioning HCLTech to offer advanced physical AI solutions and capture growth in the industrial automation sector. It strengthens HCLTech's capabilities in cutting-edge AI and robotics, potentially leading to new revenue streams and enhanced market positioning.

Impact Rating: 7/10

Difficult Terms:

  • Physical AI: Artificial intelligence systems designed to interact with and operate in the physical world, often involving robotics, sensors, and real-time decision-making.
  • Cognitive Robotics: Robots that incorporate advanced AI capabilities, allowing them to learn, adapt, reason, and perform complex tasks autonomously, mimicking human cognitive processes.
  • G2000 Organizations: A term referring to the top 2,000 global organizations, indicating large enterprises with significant market presence and potential for adopting advanced technologies.
  • Nvidia Omniverse: A platform for connecting and synchronizing 3D design tools, applications, and projects to enable real-time collaboration and simulation.
  • Nvidia Metropolis: An application framework for developing and deploying AI-powered video analytics applications.
  • Nvidia Isaac Sim: A scalable, extensible, and physically accurate simulation application for robotics development.
  • Nvidia Jetson: A platform for embedded AI computing, used in robotics, AI, and other edge computing applications.
  • Nvidia Holoscan: An edge AI platform for medical devices and healthcare applications.
  • VisionX, Kinetic AI, IEdgeX, SmartTwin: These are HCLTech's proprietary physical AI solutions and platforms focused on areas like computer vision, edge computing, and digital twins.
  • Digital Twins: A virtual representation of a physical object or system, used for simulation, monitoring, and analysis.

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