NVIDIA Ecosystem
This partnership combines HCLTech’s extensive experience as a leading global system integrator and engineering company with NVIDIA’s transformative expertise in Accelerated Computing, Generative AI and Physical AI. Together, we build and deliver turnkey AI solutions for clients worldwide, ensuring the secure adoption of AI, a tangible return on investment, reduced total cost of ownership and improved reliability and performance.
We focus on planning, designing, implementing and managing AI solutions tailored to the specific business and technology needs of our enterprise clients. By harnessing the power of accelerated computing, HCLTech and NVIDIA are driving a new era of transformation powered by AI Factories, Generative AI and Physical AI.
Our Capabilities
Physical AI Lab
At HCLTech, we’re driving the convergence of AI, Robotics and Edge intelligence to transform physical operations across industries. In collaboration with NVIDIA, this Physical AI Lab in Santa Clara serves as an incubator for exploring, designing and scaling enterprise-grade applications of Physical AI and Cognitive Robotics.
Integrated with HCLTech’s global AI Lab network, the facility combines NVIDIA’s cutting-edge and solutions with our advanced Physical AI capabilities to enable enterprises to simulate, prototype and deploy intelligent systems that enhance productivity, safety and sustainability in complex, real-world environments.
To visit the lab, contact the NVIDIA ecosystem at nvidiaecosystem@hcltech.com
Leaders Talk
Hear Tamas Foldi and Gaurav Manchanda at NVIDIA GTC 2026 discuss what’s working in enterprise robotics today and where physical AI is headed next.
Tune in to hear how HCLTech and NVIDIA are exploring the evolution of telecom networks into platforms for distributed intelligence in the AI era.
Trends and Insights
As enterprises move from isolated AI initiatives to industrial-scale deployment, the next wave of advantage will come from building connected infrastructure, intelligence and ecosystem partnerships
As AI moves from centralized models to distributed intelligence, telecom networks are emerging as the critical infrastructure that connects creation, distribution and real-world application of AI
The path to 6G is being shaped by three converging shifts: AI-native design, simulation-first development and tighter integration between silicon, software and autonomous operations
With an AI-ready foundation, purpose-built private AI factories allow organizations to deploy private AI stacks quickly, accurately and at lower cost
Combines data engineering and AI with cognitive infrastructure to accelerate GenAI-led transformation across business value chains
Frequently Asked Questions about HCLTech and NVIDIA
The HCLTech NVIDIA Ecosystem brings together HCLTech’s global system integration, engineering and AI services capabilities with NVIDIA’s accelerated computing, generative AI, simulation and physical AI technologies. It helps enterprises design, deploy and manage AI solutions across cloud, on-premises, hybrid, edge and sovereign environments.
HCLTech AI Factory, powered by NVIDIA, integrates NVIDIA’s full-stack accelerated computing, simulation and AI software across the AI data center lifecycle. It enables enterprises to design, build, operate and scale production-grade AI environments across on-premises, hybrid, edge and sovereign deployments.
HCLTech AI Factory supports on-premises, hybrid, edge and sovereign AI deployments. This allows enterprises to align AI infrastructure with data residency, security, compliance, latency, performance and business requirements while using NVIDIA’s accelerated computing, simulation and AI software stack.
HCLTech AI Force helps reduce engineering cycle time, improve application reliability and scale AI-assisted development and operations across enterprise teams. It supports development, modernization, operations and support by applying NVIDIA’s full-stack ecosystem to software, data and business process workflows.
HCLTech SmarTwin is a digital twin platform powered by NVIDIA Omniverse Enterprise and NVIDIA AI Enterprise for 3D simulation, predictive analytics and “what-if” scenario planning. HCLTech VisionX delivers real-time intelligence at the industrial edge using video and sensor data to improve quality, safety and operational efficiency.
Enterprises can start by identifying priority AI use cases, assessing infrastructure readiness and selecting the right deployment model across on-premises, hybrid, edge or sovereign environments. HCLTech can support AI strategy, readiness assessments, architecture design, proof-of-concept development and production-scale implementation.
HCLTech helps enterprises move from AI pilots to production through strategy, infrastructure modernization, solution architecture, platform engineering, implementation and managed operations. The focus is on secure AI adoption, measurable ROI, improved performance, reduced total cost of ownership and scalable enterprise AI operations.
HCLTech AI Factory helps enterprises accelerate AI deployment, improve infrastructure utilization, strengthen governance and reduce the complexity of scaling AI workloads. It supports simulation-first design with NVIDIA Omniverse, autonomous operations and enterprise AI platform services built on NVIDIA AI Enterprise.
HCLTech AI Force, powered by NVIDIA’s accelerated computing and GenAI platforms, brings intelligence to software engineering, data engineering, IT operations, application support and enterprise business processes. It uses NVIDIA GPUs, AI frameworks and microservices to improve speed, scalability and precision across enterprise workflows.
HCLTech supports Physical AI by combining SmarTwin, VisionX, Cognitive Robotics and the HCLTech Physical AI Lab with NVIDIA technologies. These capabilities help enterprises simulate, prototype, monitor and optimize real-world environments, industrial assets, robotics, supply chains and edge operations.
HCLTech and NVIDIA solutions can support industries including manufacturing, telecom, media, technology, travel, transport, logistics, hospitality, healthcare, financial services, energy and retail. Common use cases include AI factories, digital twins, physical AI, edge intelligence, AI-native networks, software engineering automation and intelligent operations.