EuroWire, LAS VEGAS: Nvidia on Monday outlined a series of developments in artificial intelligence and autonomous vehicle technology during the opening days of the Consumer Electronics Show in Las Vegas, detailing new software models, simulation tools and computing platforms intended for use in self driving systems. The announcements were presented by chief executive Jensen Huang as part of the company’s broader push to extend its core AI computing business into transportation and robotics.
At the center of the updates was the introduction of the Alpamayo family of open source artificial intelligence models and development tools for autonomous vehicles. Nvidia said the release includes a vision language action model designed to help vehicles interpret their surroundings, understand driving context and execute decisions. The company also introduced an open simulation environment and a large scale dataset focused on real world driving conditions, which developers can use to train and test autonomous systems.
According to Nvidia, the Alpamayo models are designed to handle complex driving situations that are difficult to preprogram, such as rare traffic patterns, unpredictable pedestrian behavior and unusual road layouts. The company said the tools allow developers to analyze how an autonomous system arrives at specific decisions, a feature Nvidia described as important for safety validation and regulatory review. The software is compatible with Nvidia’s existing DRIVE platforms, which are already used by several automakers and technology companies.
Huang said during his presentation that advances in reasoning based AI are enabling machines to move beyond pattern recognition toward systems that can process context and sequence, which he described as a key requirement for autonomy in the physical world. Nvidia did not disclose commercial pricing for the Alpamayo tools, noting that the models and datasets are being released under open source licenses to encourage broad industry adoption and collaboration.
In parallel with the software announcements, Nvidia provided updates on its hardware roadmap. The company said a new generation of AI chips based on its Vera Rubin platform has entered full production. Nvidia stated that the systems deliver substantial gains in performance and energy efficiency compared with previous architectures and are designed to support both AI training and inference workloads. The chips are intended for use across data centers, automotive systems and edge computing applications.
Autonomous vehicle demonstrations draw attention
Autonomous driving featured prominently in Nvidia’s demonstrations at CES. The company showcased a driverless version of a Mercedes Benz CLA operating on public streets in San Francisco. Nvidia said the vehicle uses its AI computing platform to process sensor data and generate driving actions in real time, while also providing explanations of its decisions. The system is part of an ongoing collaboration with Mercedes Benz, which has previously announced plans to deploy advanced driver assistance and autonomous features using Nvidia technology.
Nvidia also highlighted partnerships across the automotive and mobility sectors. Companies including Jaguar Land Rover, Lucid Motors and Uber have previously confirmed their use of Nvidia’s AI platforms for vehicle development, simulation or data center operations. Nvidia said the open nature of the Alpamayo release is intended to allow automakers, suppliers and research institutions to build on shared tools rather than relying solely on proprietary systems.
Nvidia broadens AI footprint beyond data centers
The announcements come as Nvidia continues to expand beyond its traditional graphics processing business. While gaming and data center products remain its largest revenue contributors, the company has increasingly positioned itself as a foundational supplier of AI infrastructure for industries ranging from healthcare to manufacturing and transportation. Nvidia did not provide updated financial projections related to autonomous vehicles during the CES presentation.
Market response to Nvidia’s automotive related announcements extended to parts of the supply chain. Lidar sensor manufacturer Aeva Technologies said its long range lidar systems have been selected for use alongside Nvidia’s autonomous driving hardware in certain configurations. Nvidia did not specify volumes or deployment timelines related to the sensor integration.
CES has become a key forum for Nvidia to outline its technology direction, with this year’s presentation emphasizing the integration of software, data and hardware into unified AI platforms. Nvidia said the releases are intended to support autonomous vehicles operating in complex environments while meeting regulatory and performance requirements. The company said further technical documentation and software access for the Alpamayo tools will be made available to developers following the event. Nvidia did not announce additional product launches or partnerships beyond those disclosed during the CES keynote.