Tata Consultancy Services (TCS), a global leader in IT services, consulting, and business solutions, has expanded its collaboration with Nvidia to launch industry-specific solutions and offerings that will help customers adopt Artificial Intelligence (AI) faster and at scale. These solutions will be offered through TCS’ new business unit focused on Nvidia, under its AI Cloud business unit.

It builds on a collaboration with Nvidia for over five years, brings together the complementary capabilities of both organisations and will offer tailored offerings for various industries.

According to a recent TS AI for Business Study, enterprises worldwide are racing to adopt AI but there is no consensus on an AI adoption strategy. The journey for every enterprise is unique and involves an interplay of AI and existing enterprise capabilities.

The partners believe that AI adoption at scale requires an intimate understanding of the enterprise and its practices and building AI models that are customised for the context. The new unit will design and deliver curated AI adoption strategies by leveraging global centres of excellence (CoEs), investments in the Nvidia AI platform - including accelerated computing and AI software, and the Nvidia AI Enterprise and Nvidia Omniverse platforms - and skilled resources

The new unit also offers TCS’ proprietary framework, which brings together its deep domain expertise, enterprise contextual knowledge and Nvidia AI technology for building and deploying agentic AI solutions  - including nvidia NIM microservices and Nvidia NIM Agent Blueprints, which are part of the nvidia AI Enterprise software platform and Nvidia AI Foundry – to deliver value at scale to customers.

The partners aim to build innovative, value chain-centric solutions and offerings for industry verticals on the Nvidia AI platform including:

TCS Manufacturing AI for Industrials; TCS AI Spectrum for BFSI; TCS Cognitive Visual Receiving; AI-Native Telco Offerings and TCS AI-based Autonomous Vehicle Platform.

The autonomous vehicle platform will see TCS’ IoT and Digital Engineering unit work with Nvidia to leverage generative AI and deep learning technologies, such as Omniverse for simulation and Nvidia AI Enterprise for synthetic data generation, to accelerate the development of end-to-end autonomous features and capabilities for automotive OEMs and tier 1 suppliers.

Jay Puri, Executive Vice-President of Worldwide Field Operations, Nvidia said, “The fusion of TCS’ deep industry expertise with Nvidia AI technology is set to introduce a new era of intelligent enterprise transformation. TCS’ new Nvidia business unit is poised to accelerate AI and simulation with Nvidia AI Enterprise for building agentic AI solutions and Nvidia Omniverse for building physical AI solutions, paving the way for AI-driven innovation across India and the world.”

Siva Ganesan, Head, AI Cloud Unit, TCS said, “Curated AI journeys are derived at the intersection of deep-domain and deep-tech. This is a space that TCS has excelled at during every business transformation cycle. Our unique vantage point, at the intersection of business and technology, helps us identify the right opportunities for our customers. With the innovative and efficient Nvidia AI platform, and our wide scale and proven track record in delivering value, our customers now have a means to faster value realisation.”

Anupam Singhal, President – Manufacturing, TCS said, "Manufacturers can now achieve unprecedented accuracy and access the tacit knowledge to optimise their operations, improve decision-making, and drive impactful innovation. This is possible with TCS' Manufacturing AI for Industrials offering, which leverages Nvidia technology to harness the power of LLMs (large language models) and is fine-tuned with TCS' deep manufacturing industry expertise.”

The collaboration with Nvidia is part of TCS' broader efforts to strengthen its AI-readiness and build end-to-end capabilities powered by Nvidia technology to foster enterprise-wide AI transformation for its key customers. 

John Fanelli, Vice-President, Enterprise Software, Nvidia said, “Factories, warehouses and robotics are the next grounds for physical AI innovation at scale. Combining cutting edge AI and simulation capabilities can unlock unprecedented potential for intelligent manufacturing operations for TCS clients.”

To help manufacturers embrace the next wave of digital manufacturing, TCS is also working on a new suite of digital twin solutions built on the Nvidia Omniverse development platform, enabling clients to design, simulate, operate, and optimize products and production facilities across heavy industries:

Factory of the Future: Real-time factory planning, monitoring, and predictive maintenance in a virtual environment, reducing downtime and speeding up time to market.

In-Car Digital Twin: Autonomous vehicle simulation using Omniverse’s physics-based simulations, reducing the need for physical testing.

Aero Care Efficiency: Digital twin creation for aircraft components, enabling immersive training, enhanced problem-solving and the early detection of failures, helping improve safety and reduce operational risks.

Smart Farming Digital Twin: Farming scenario simulations with real-world physics, including soil interactions, terrain analysis, and weather conditions to improve equipment performance, process optimisation and sustainability in modern agriculture.

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Maruti Suzuki India, the country’s largest passenger vehicle manufacturer, has announced the second phase expansion of its Integrated Traffic Management System (ITMS) in Gurugram under its corporate social responsibility initiative, allocating approximately INR 750 million to the project.

The expansion will see the installation of 1,000 additional radar-integrated cameras across 70 junctions and nine road stretches covering 65 kilometres in the city. Combined with the initial phase, which deployed 400 cameras across 23 junctions, the completed network will encompass 1,400 cameras across 93 junctions and 13 road corridors.

Implemented in partnership with the Gurugram Metropolitan Development Authority and the Gurugram Police, the automated system detects traffic offences including speed limit violations, red-light jumping, helmetless riding, triple riding and wrong-side driving. The camera units record registration plate details and transmit data directly to the Integrated Command and Control Centre for enforcement processing.

Sibash Kabiraj, Commissioner of Police, Gurugram, said, "We appreciate Maruti Suzuki’s continued support in strengthening Gurugram’s traffic management infrastructure through its CSR initiative. The expansion of the Integrated Traffic Management System will further strengthen our ability to monitor traffic violations, enable timely enforcement, and encourage greater compliance with traffic regulations."

P C Meena, CEO of the Gurugram Metropolitan Development Authority, said, "GMDA is committed to building a robust, technology-driven surveillance network to strengthen traffic management and road safety across Gurugram. The expansion of CCTV coverage in collaboration with Maruti Suzuki India Limited and Gurugram Police will enable more effective traffic monitoring, strengthen enforcement of traffic rules and promote greater road discipline. Connecting the CCTV network with GMDA’s Integrated Command and Control Centre will further enhance real-time surveillance, improve coordination among enforcement agencies and facilitate quicker action against traffic violations, contributing to safer roads for all commuters."

Rahul Bharti, Senior Executive Officer of Corporate Affairs, Maruti Suzuki India, said, "We are pleased to further strengthen our partnership with GMDA and the Gurugram Traffic Police in advancing road safety through technology-driven interventions. This advanced tracking system addresses issues like riding without helmets, triple riding, red-light violations, over-speeding, and wrong-side driving. These violations highlight a critical road-safety challenge, as human error continues to be the leading cause of road accidents in India. The findings reinforce the need for sustained, collaborative efforts to improve compliance with traffic regulations and foster safe road behaviour. Improving road safety requires a combination of responsible driving, robust driving license testing and effective traffic enforcement. We are committed to working alongside authorities in these areas to build a safer mobility ecosystem."

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Swedish automotive company Volvo Cars has expanded its technology partnership with NVIDIA to integrate the computing firm's Hyperion sensor and compute architecture into its next-generation vehicle platform.

The system combines Volvo's vehicle safety architecture with NVIDIA's hardware, Halos operating system and Alpamayo Stack driving software. The technology is designed to navigate highway environments, urban traffic and parking scenarios, laying the foundation for the gradual introduction of eyes-off and mind-off driving capabilities. The system will make its commercial debut in an upcoming production model as part of Volvo Cars' vehicle development roadmap.

Hakan Samuelsson, President and CEO, Volvo Cars, said, "Volvo has been synonymous with car safety for almost 100 years. By working with NVIDIA, we bring together two distinct strengths: industry-leading safety knowledge and world-class AI technology. That combination gives us a unique opportunity to create safer and more attractive cars for our customers."

Jensen Huang, Founder and CEO, NVIDIA, said, "Accelerated computing has transformed the car into an intelligent machine that can understand the world around it. Volvo has spent nearly a century protecting people on the road. Together, we’re combining Volvo’s extraordinary vehicle safety systems with NVIDIA Hyperion and Halos to build a new generation of cars that make driving safer and more effortless."

The agreement marks a continuation of the collaboration between the two companies, which established their initial development partnership in 2017. The deployment of NVIDIA's computing stack will support Volvo's transition toward software-defined electric vehicles across its global product lineup.

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French tier 1 supplier Valeo and open science research lab KE:SAI have launched a joint research collaboration to develop a generalist artificial intelligence (AI) driving system for autonomous vehicles. The partnership plans to publish models, code, weights and datasets as open-source resources.

The initiative brings together artificial intelligence teams from valeo.ai in Paris and the KE:SAI founding team in Tübingen, Germany. The collaboration focuses on training a unified AI model capable of operating across different vehicle platforms, sensor configurations and geographic environments. Initial development will utilise large-scale real-world driving data before integrating reinforcement learning within simulated environments to address rare driving scenarios.

KE:SAI was co-founded by research organisation Kyutai and the ELLIS Institute Tübingen. By making the underlying code, benchmarks and model weights accessible, the initiative aims to provide automakers, component suppliers and academic laboratories with a standardised reference system for autonomous driving research and development.

Marc Vrecko, CEO, Valeo Brain, said, "This open-science collaboration with KE:SAI marks a strategic milestone for Valeo and the broader European automotive ecosystem. By combining our deep industrial and technological expertise in autonomous driving with world-class open-source research, we are establishing a shared foundation to accelerate the development of physical AI and democratize next-generation self-driving technologies."

Andreas Geiger, CEO, KE:SAI, said, "For language models, open source compressed years of progress into months, yet frontier physical AI is still largely closed. Valeo shares our belief that open foundations create more innovation than any closed system ever could. Everything we develop will be open. Every step forward is a step forward for everyone."

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Researchers at Chalmers University of Technology, in collaboration with industry partners, have published a study in Nature Communications demonstrating that reconfigurable battery pack architectures can extend electric vehicle battery operational life by more than 20 percent under specific conditions.

In conventional electric vehicle battery packs, cells are wired in a fixed series configuration, meaning the weakest cell dictates the overall capacity, performance and lifespan of the entire pack. The architecture evaluated by the Chalmers engineering team uses integrated electronic switches and a centralised battery management system to monitor individual cells or cell groups. When a cell experiences accelerated degradation or reduced capacity, the system bypasses the degraded unit while electric current continues to flow through the remaining functional cells.

Albert Skegro, a PhD student at the Department of Electrical Engineering at Chalmers University of Technology, said, "They must all move at the pace of the slowest person and stop when that person stops, regardless of how much energy the others have left. With the architecture we have modelled, the battery can instead bypass the cell that is causing problems and continue using the remaining cells."

Changfu Zou, Professor at the Department of Electrical Engineering at Chalmers, said, "Reconfiguration is not an on-or-off choice. It is a spectrum. Where a manufacturer chooses to position itself on that spectrum determines how much of the potential benefit can be realised."

In a representative modelling scenario featuring an 80 kWh battery pack driven 12,000 kilometres annually over an 18.8-year vehicle lifespan, the reconfigurable system deferred battery replacement by approximately 14 months. The researchers noted that the technology yields the highest performance gains in high-voltage vehicles, including 400-volt and 800-volt electric passenger cars and commercial trucks, where higher cell counts in series increase the statistical probability of individual cell variance.

A techno-economic analysis included in the study determined that implementing cell-level switching hardware increases initial pack production costs by approximately nine per cent based on prototype-scale volumes of 1,000 units. The researchers identified an economic break-even threshold at a 12 percent cost increase, noting that volume manufacturing would lower component costs and increase financial viability for fleet operators and private owners. While prototype applications such as Volvo Cars' SmartCell concept and experimental road vehicles exist, mass-production vehicles using reconfigurable battery packs are yet to enter the commercial market.

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