In addition to the semiconductor company’s CV25 AI system-on-chip in LG’s latest driver-monitoring system, the company will show two firsts—an automotive passenger-vehicle and fleet-focused vision language model and an updated Oculii centralized radar using a production CV3 AI domain control SoC.
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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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At the Snapdragon Summit 2024 last month, a Qualcomm-led “fireside chat” with execs from Rivian and Epic Games revealed more details of the high-profile collaboration on the most extensive update to the Rivian user interface since its launch enabled by Unreal Engine and Snapdragon Cockpit.
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They plan to adopt and extend the VirtIO device virtualization framework to decouple automotive software development from hardware to reduce industry fragmentation through standardization and accelerate automotive development cycles.
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At its Snapdragon Summit today, the company revealed its Oryon CPU-based platform that’s three times faster with up to twelve times stronger AI performance for enhanced safety and in-vehicle experiences compared to the previous generation, with Li Auto, Mercedes-Benz, and Google announced as first customers.
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Combining ASA Motion Link video and Ethernet backbone, the company is demoing the next-generation vehicle architecture it says was previously impractical to implement at the IEEE Standards Association‘s Ethernet & IP @ Automotive Technology Day 2024 in Detroit this week.
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At a CEO roundtable and tech preview event last month, the automotive mega supplier showed many new innovations but here we feature one of the most important–leading-edge thermal sensing to meet the U.S. mandate for improved automatic emergency braking on all cars and light trucks in 2029.
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The Level 4 autonomous driving domain controller, to be used in WeRide’s robobus, incorporates FP4 and FP8 AI inference, resulting in a fivefold increase in the inference speed of transformer models, computing power of 2100 TOPS, and functional safety levels up to ISO 26262 ASIL-D.
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The Arc Graphics for Automotive is meant to address the growing demand for compute power, unlocking AI-driven cockpit experiences and enhanced personalization for manufacturers and drivers, with commercial deployment in vehicles as soon as 2025.
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Its Versal Series Gen 2 portfolio targets up to three times higher TOPs-per-watt and up to ten times more CPU-based scalar compute, with Subaru deploying on its next-gen EyeSight ADAS system, adding to a collaboration with Sony on lidar as the chipmaker looks to take a leadership position in automotive technology.
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