At its GTC global AI conference this week, the biggest news from the AI powerhouse was an expanded partnership with General Motors, but the company also unveiled the Halos safety system offering for AVs, its expanding automotive ecosystem, and new AI Enterprise software platform offerings.
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At Nvidia’s GTC today, Ansys announced that its Fluent computational fluid dynamics simulation software leveraging just eight Nvidia Blackwell GPUs to accelerate solver speed by 2.5 times versus the same simulation run on 2016 CPU cores and cost-equivalent hardware to improve Volvo’s EX90 aerodynamic performance.
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The partnership will provide Stellantis with a platform to drive faster and higher-quality software innovations, with the cloud-based development, integration, and validation enabling the OEM’s engineers to start testing and developing software up to a year before production hardware is available.
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The partners announced at CES 2025 a collaboration to build new digital services for the automotive industry and simplify the development process for engineers, with the first three Valeo solutions to accelerate the development of ECUs, autonomous mobility workflows, and driving assistance.
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Ai.rplane is a publicly accessible reference application built on the startup’s LGM-Aero, the first large geometry model trained on AWS cloud compute on data including high-fidelity physics generated with Siemens aimed at generating novel aircraft designs and predicting physics of aircraft performance.
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At the SC24 high-performance-computing conference today, Nvidia with partners announced Omniverse Blueprint for real-time physics digital twins for CFD and wind tunnel simulation, Alchemi NIM for sustainable materials research on EV batteries, and migrating to new Grace architectures.
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The company’s AV elevate enables closed-loop perception testing and the creation of synthetic training data through the tuning of sensor systems, training of perception and control algorithms, and testing of the full AV technology stack, reducing the industry’s reliance on real-world testing and data collection.
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Presented in association with the Center for Automotive Research earlier this week, the award honors the greatest sustainability and lightweighting advancements that successfully reduce carbon footprint, mitigate water and energy consumption, and leverage material reuse and recycling efforts.
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For the winning entry showcased at the Computer Vision and Pattern Recognition conference running this week in Seattle, Nvidia used its Hydra-MDP to ingest vehicle trajectory history and camera and lidar data at a reduced frame rate and generate the optimal vehicle path as an output in a simplified end-to-end architecture said to optimize pipelines with less code and better performance.
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Co-developed with the BMW Group, the cloud-native, end-to-end Ansys AVxcelerate Autonomy solution revealed at CES 2024 is said to be capable of reducing development cost and validation timelines by 100,000 times by simulating the majority of driving scenarios for Level 2+ and above compliance.
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