Dassault Systèmes has announced its 3DEXPERIENCE platform will be used by Mahindra & Mahindra on the cloud to accelerate its end-to-end new product development process.

Mahindra is said to have strategically opted to adopt the 3DEXPERIENCE platform for its future auto programs, allowing it to improve the efficiency of processes and reduce the time to market of safer and more sustainable vehicles. The manufacturer, in specific will make use of the ‘Drive Emotion,’ ‘Global Modular Architecture’ and ‘Smart Safe and Connected’ solutions based on the 3DEXPERIENCE platform to connect thousands of users, employees and suppliers in one virtual environment encouraging collaboration and innovation.

Working on the cloud will allow teams to quickly adopt best industry practices, collaborate and access real-time information across product planning, design, engineering, strategic sourcing, and digital manufacturing domains.

“Mahindra & Mahindra has a long-standing partnership with Dassault Systèmes and they continue to put their trust in our solutions to develop the next generation of their vehicles,” said Laurence Montanari, Vice President — Transportation & Mobility Industry, Dassault Systèmes. “Vehicle development is complexifying every day due to regulations. Our 3DEXPERIENCE platform on the cloud addresses this complexity.”

“We wanted high-performance technology that would enable us to launch innovative vehicles faster and fulfill our sustainability ambitions.  With Dassault Systèmes’ expertise and 3DEXPERIENCE platform, we can deepen collaboration, and expedite problem identification and resolution, leading to streamlining new vehicle launch timelines,” said Rucha Nanavati, CIO, Mahindra & Mahindra.

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German luxury carmaker Audi has introduced third-generation digital OLED rear lighting technology on the Q91, marking the production debut of three-dimensionally curved digital OLED panels in the automotive industry.

The lighting system incorporates carrier glass measuring 0.1 millimetres in thickness, allowing a bend radius of up to 200 millimetres to match the vehicle's body contours. The Q91 uses six digital OLED panels housing 512 individual segments, including an outer curved panel with 99 segments.

The curved positioning extends light visibility to wider lateral angles and incorporates warning symbols within the communication light system to alert surrounding traffic to breakdowns, emergency braking or accidents. Up to eight digital light signatures are available across static, active and semi-active display settings.

The vehicle also features digital Matrix LED headlights utilising a 13-millimetre micro-LED module containing 25,600 individual micro-LEDs. The headlight system projects high-resolution lane lighting, orientation paths and dynamic turn signal graphics directly onto the road surface to assist lane centring and indicate directional changes to pedestrians and other vehicles.

Audi first introduced OLED technology on the TT RS in 2016, followed by segmented digital OLEDs on the Q5 in 2020 and second-generation panels on the Q6 e-tron in 2024.

Stefan Berlitz, Head of Lighting Development at AUDI AG, said, "At Audi, light means safety first and foremost – seeing and being seen. Digitalisation opens up entirely new possibilities for further enhancing road safety. The curved digital OLED technology in the Audi Q91 impressively demonstrates this technology’s potential. It combines design freedom, personalization, and communication with the vehicle’s surroundings at a new level. Our vision is to gradually transform light into an intelligent means of communication that makes interaction between the vehicle and its surroundings even safer and more intuitive."

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European ride-hailing platform Bolt has selected the NVIDIA Alpamayo Stack autonomous driving software to operate its vehicle fleet in Europe, starting with Lucid automobiles.

The deployment commences in Madrid in 2027, with subsequent deployment planned in Germany and France. The initiative supports the integration of at least 25,000 Level 4-ready Lucid vehicles equipped with NVIDIA Hyperion compute and sensor architecture. The program contributes to Bolt's objective of deploying 100,000 autonomous vehicles across Europe and the UNECE region by 2035. The system integrates reasoning artificial intelligence with perception and planning modules alongside NVIDIA Halos safety controls.

Jevgeni Kabanov, President and Head of Autonomous Driving, Bolt, said, “Autonomous driving will change how people move around cities, and Europe should play a major role in how that future is built. Our ambition isn't to bring autonomous driving to just a handful of cities. We want to make autonomous ride-hailing available at scale across Europe, with 100,000 vehicles on our platform by 2035. We're bringing together some of the best technologies in the world to make that possible. Following our first autonomous mobility launch in Luxembourg, our next step with NVIDIA and Lucid is to begin a programme in Madrid in 2027. The Region of Madrid is pioneering a structured framework for commercial autonomous mobility in coordination with national authorities. Germany will also be a priority for what comes next, with cities already setting out clear ambitions for autonomous mobility.”

Rishi Dhall, Vice-President of Automotive, NVIDIA, said, “Robotaxis will scale when every vehicle is built on a common, safety-engineered foundation. NVIDIA Hyperion standardises the compute and sensor architecture across vehicle platforms, while NVIDIA Alpamayo Stack and Halos provide the driving intelligence and safety foundation. Bolt’s European platform, operational experience and work with cities and regulators make it a strong partner to bring autonomous ride-hailing to market at scale in Europe.”

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French tier 1 supplier Valeo has announced plans to develop and industrialise high-performance compute platforms utilising the NVIDIA Hyperion reference architecture and NVIDIA Halos safety system.

The initiative combines Valeo's vehicle integration capabilities with centralised computing architectures to support software-defined mobility systems. The platform utilises the NVIDIA DRIVE AGX Thor architecture to deliver processing performance and redundancy for Level 4 autonomous driving, commercial trucking and robotaxi applications. The development framework enables automakers to integrate features and deploy autonomous technologies across vehicle models.

Marc Vrecko, Chief Executive Officer, Valeo Brain Division, said, "Our work with NVIDIA marks a significant milestone in our mission to make autonomous driving a safe, scalable reality. By seamlessly integrating NVIDIA’s advanced compute power into our next-generation platforms, we are delivering the flexible, centralised intelligence vehicle manufacturers require to redefine the driving experience and meet the evolving demands of tomorrow’s intelligent vehicles."

Rishi Dhall, Vice-President of Automotive, NVIDIA, said, "Valeo’s expertise in high-performance computing, vehicle integration and automotive-scale industrialisation will help automakers adopt NVIDIA Hyperion and NVIDIA Halos at production scale. Together, NVIDIA and Valeo are providing the AI performance, functional safety and scalability needed to accelerate the development of Level 4 autonomous vehicles and robotaxis."

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HCLTech has introduced an artificial intelligence (AI) verification and validation platform utilising NVIDIA simulation tools, agentic systems and open models.

The offering targets vehicle manufacturers and tier-1 suppliers to automate software validation workflows and accelerate release cycles. Built on a simulation-first operating model, the platform connects requirements, test creation, execution, analysis and compliance reporting.

The system integrates HCLTech's engineering expertise and validation model with NVIDIA Omniverse, Cosmos, Alpamayo, NuRec and Isaac Sim technologies to generate scenarios in virtual environments, reducing reliance on physical testing.

Additionally, the platform utilises the NVIDIA Agent Toolkit to orchestrate AI agents powered by Nemotron open models across the validation lifecycle.

Pankaj Tagra, Chief Growth Officer and Global Head of Mobility, HCLTech, said, “Automotive software is evolving faster than traditional validation processes were designed to handle. Frequent software updates, increasingly complex vehicle systems and the need to demonstrate compliance across changing configurations can make validation slow, fragmented and difficult to scale. Powered by NVIDIA, HCLTech’s V&V for Auto is designed to help organisations shift from periodic, labor-intensive testing to continuous, intelligent validation, using simulation and AI to make software release decisions with greater speed and confidence.”

Dr. Sebastian Scheurle, EMEA Industry Lead of Automotive Enterprise, NVIDIA, said, “Validation now sets the pace for software-defined vehicles. With NVIDIA Omniverse, Cosmos and Nemotron at its core, this solution leverages world-class simulation and AI capabilities to support automakers in their journey towards moving more testing into simulation, covering rare and safety-critical scenarios earlier and releasing software with greater confidence.”

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