NVIDIA announced at GTC Berlin on October 21, 2026, that European automakers and mobility providers including Bolt with Lucid, Mercedes-Benz, Volkswagen Commercial Vehicles and Einride are showcasing autonomous-mobility use cases on the NVIDIA Hyperion computing platform, demonstrating potential applications for level 3 and level 4 vehicles and future robotaxi fleets. Volvo Cars is adopting Hyperion and NVIDIA Alpamayo Stack software for safe automated driving, and NVIDIA introduced new AI and safety technologies to help developers build, validate and deploy autonomous vehicles at scale.
NVIDIA described autonomous transportation as a multitrillion-dollar opportunity, with robotaxis leading the move to commercial level 4 deployment. “Robotaxis are the first mass-market application of robotics and physical AI, reinventing how people and goods move,” NVIDIA founder and CEO Jensen Huang said in the company’s GTC Berlin announcement. Huang said Hyperion, together with the Halos safety operating system, gives partners a full-stack robotaxi platform designed to achieve full autonomy and the highest levels of safety.
Bolt’s Robotaxi Program With Lucid
Bolt has selected NVIDIA Alpamayo Stack, NVIDIA’s full-stack autonomous-driving software, to drive vehicles in its European autonomous ride-hailing program, beginning with Lucid. Bolt said the program will start in Madrid during 2027, initially gathering real-world driving data to support development and validation of the autonomous-driving technology, subject to regulatory approval, and identified Germany and France as key markets for future deployment.
The program will lay the foundations for a rollout of at least 25,000 Level 4-ready Lucid vehicles equipped with NVIDIA Hyperion, and it forms a major part of Bolt’s wider plan to deploy 100,000 autonomous vehicles across Europe and the wider UNECE region by 2035, the company said. Bolt and NVIDIA will work together to adapt the driving software for European roads and integrate it into vehicles from multiple manufacturers, beginning with Lucid. Running on Hyperion, Alpamayo Stack combines reasoning AI with classical perception and planning, supported by NVIDIA Halos safety capabilities, according to Bolt.
“We want to make autonomous ride-hailing available at scale across Europe, with 100,000 vehicles on our platform by 2035,” Jevgeni Kabanov, Bolt’s president and head of autonomous driving, said in Bolt’s announcement. Kabanov said the Region of Madrid is pioneering a structured framework for commercial autonomous mobility in coordination with national authorities, and that Germany will also be a priority, with cities there already setting out ambitions for autonomous mobility. The NVIDIA and Lucid program follows Bolt’s first autonomous mobility launch in Luxembourg and sits alongside Bolt’s work with Pony.ai and Stellantis.
Bolt Autonomous Driving Solutions will lead development and commercialization of the autonomous ride-hailing service in Europe, contributing fleet-management infrastructure, regulatory expertise and local market knowledge from a mobility platform serving more than 200 million customers. NVIDIA automotive vice president Rishi Dhall said Hyperion standardizes the compute and sensor architecture across vehicle platforms while Alpamayo Stack and Halos provide the driving intelligence and safety foundation, adding that robotaxis will scale when every vehicle is built on a common, safety-engineered foundation. Kay Stepper, president of Lucid Technologies and chief digital officer at Lucid, said the collaboration to date and the planned start of data collection in 2027 mark the first steps toward scalable, software-defined autonomous mobility in Europe.
From Passenger Cars to Freight and Public Transport
At GTC Berlin, Volkswagen Commercial Vehicles is presenting its autonomous ID. Buzz AD vehicle platform with Hyperion to support multiple autonomous-driving systems. NVIDIA said Hyperion provides a common computing and sensor architecture designed to simplify integration and validation, helping developers and mobility operators bring robotaxi and commercial transport services to market.
Volvo Cars is combining its vehicle safety systems and engineering expertise with Hyperion, Halos OS and Alpamayo Stack to enable future Volvo cars to safely navigate complex real-world environments from door to door, NVIDIA said. Mercedes-Benz is extending its partnership with NVIDIA on Hyperion and Alpamayo Stack to support development of the automaker’s L3 and L4 capabilities, and announced that MB.DRIVE ASSIST PRO, developed with NVIDIA, will soon receive approval for urban point-to-point driver assistance in Germany.
Beyond passenger vehicles and robotaxis, Einride is building its next-generation Einride Driver on Hyperion for autonomous freight trucks, using Halos, Alpamayo and NVIDIA Cosmos open world models to develop and validate its driving system. TIER IV and the Technical University of Munich plan to integrate Hyperion to develop and validate systems for autonomous public transportation in Germany. Technology and manufacturing partners Aptiv, Valeo and Schaeffler are building Hyperion-based computing platforms that vehicle manufacturers can integrate for L4 autonomous vehicles and robotaxis.
Halos SAFE Evaluation Framework
Within its Halos safety system, NVIDIA introduced Halos SAFE, the Safety Assurance Framework for Evaluation, with dSPACE, IVEX and TÜV Rheinland collaborating on evaluation workflows. According to NVIDIA, Halos SAFE connects simulation, software- and hardware-in-the-loop evaluation, on-road testing and fleet monitoring through defined scenarios, tests and measurable performance criteria to generate traceable safety evidence that supports deployment. The Halos SAFE ecosystem also includes JLR, Mercedes-Benz, Volvo Cars, 51Sim, aiMotive, AVL, Deepen AI, Foretellix and Synopsys.
New Developer Models and Data Tools
NVIDIA detailed new models, tools and blueprints for preparing driving data, improving models and evaluating performance. According to the company, Alpamayo 2 Edge is a 2-billion-parameter reasoning model built on Cosmos 3 Edge’s Nemotron-based foundation, optimized for the NVIDIA DRIVE AGX Thor platform and designed to run at 10Hz for in-vehicle scene understanding and motion planning. AlpaJudge is a human-calibrated evaluation and reward model that scores driving explanations to assess reasoning quality, filter weak annotations and reduce manual review of training data. Foundation4D labels multicamera video without lidar input, supporting perception-model training and Omniverse NuRec scene reconstruction. New Cosmos 3 Nano model variants expand synthetic data generation and closed-loop simulation through synchronized multiview, multi-camera and lidar generation across diverse driving scenarios.
Cosmos Data Factory’s AV dataset-generation blueprint turns driving video and vehicle signals into curated, searchable, labeled data, using synthetic data to expand scenario coverage. Alpamayo Agentic Factory, an open blueprint NVIDIA expects to become available in early 2027, uses AI agents to connect data preparation, model post-training and simulation evaluation. NVIDIA NIM microservices for Alpamayo 1.5 and NuRec Harmonizer deliver both models as optimized inference containers, giving AV reasoning and scene harmonization a simplified deployment path, the company said.
Uber and NVIDIA are developing a data factory powered by Cosmos to curate and process data for AV development, part of a broader partnership spanning AI development infrastructure, Hyperion-based vehicles and Uber’s global ride-hailing network. Porsche is leading development of a data flywheel workflow across Volkswagen Group brands through Voxel51, using Cosmos Data Factory and Omniverse NuRec on Microsoft Azure to turn fleet data into datasets and simulations for evaluating autonomous-driving models. NVIDIA said the workflow is expected to reduce repeated physical test drives by up to 90% and shorten development cycle duration by up to 85%.
