{"id":4261,"date":"2025-09-09T16:47:27","date_gmt":"2025-09-09T16:47:27","guid":{"rendered":"https:\/\/salarydistribution.com\/machine-learning\/2025\/09\/09\/safety-first-always-nvidia-vp-of-automotive-says-unveiling-the-future-of-ai-defined-vehicles-at-iaa-mobility\/"},"modified":"2025-09-09T16:47:27","modified_gmt":"2025-09-09T16:47:27","slug":"safety-first-always-nvidia-vp-of-automotive-says-unveiling-the-future-of-ai-defined-vehicles-at-iaa-mobility","status":"publish","type":"post","link":"https:\/\/salarydistribution.com\/machine-learning\/2025\/09\/09\/safety-first-always-nvidia-vp-of-automotive-says-unveiling-the-future-of-ai-defined-vehicles-at-iaa-mobility\/","title":{"rendered":"\u2018Safety First, Always,\u2019 NVIDIA VP of Automotive Says, Unveiling the Future of AI-Defined Vehicles at IAA Mobility"},"content":{"rendered":"
\n\t\t<\/span> <\/span> <\/span><\/span><\/p>\n

At this week\u2019s IAA Mobility conference in Munich, NVIDIA Vice President of Automotive Ali Kani outlined how cloud-to-car AI platforms are bringing new levels of safety, intelligence and trust to the road.<\/p>\n

NVIDIA and its partners didn\u2019t just show off cars at the conference \u2014 they showed off what cars are becoming: AI-defined machines, built as much in the data center as they are in the factory.<\/p>\n

Kani framed this shift during his IAA keynote today<\/a>: vehicles are moving from being dependent on horsepower to compute power, from mechanical systems to software stacks.<\/p>\n

In Germany and around the world, automotive engineering is now infused with silicon acceleration, as automakers and suppliers adopt NVIDIA\u2019s cloud-to-car platform to drive safety, intelligence and efficiency into tomorrow\u2019s vehicles.<\/p>\n

NVIDIA is the only company that offers an end-to-end compute stack for autonomous driving. Its three AI compute platforms critical for autonomy are:<\/p>\n

Together, these platforms form a feedback loop for learning, testing and deployment that tightens the cycle of innovation while keeping safety front and center.<\/p>\n

It\u2019s All About Safety: NVIDIA Halos Sets the Standard\u00a0<\/b><\/h2>\n

Safety is a core theme at IAA. NVIDIA Halos<\/a> is a full-stack, comprehensive safety system that unifies vehicle architecture, AI models, chips, software, tools and services to ensure the safe development of autonomous vehicles, from cloud to car.<\/p>\n

NVIDIA Halos brings together safety-assessed systems-on-a-chip, the safety-certified NVIDIA DriveOS<\/a> operating system and the DRIVE AGX Hyperion architecture into a unified platform for autonomous driving. This platform is backed by the NVIDIA Halos Certified Program and its AI Systems Inspection Lab, which deliver rigorous validation to ensure real-time AI operates with end-to-end reliability.<\/p>\n

With AI-driven workflows and high-fidelity sensor simulations built with NVIDIA Omniverse and Cosmos, automakers can train, test and safely validate vehicle performance \u2014 even under conditions that are hard to experiment with in the real world, such as rare or hazardous traffic situations and edge-case events, and in complex environments.<\/p>\n

Simulation tools are increasingly critical for advancing safe, scalable autonomous vehicle development.<\/p>\n

The popular autonomous driving simulator CARLA<\/a> now integrates the NVIDIA Cosmos Transfer<\/a> world foundation model, along with NVIDIA Omniverse NuRec<\/a> reconstruction libraries, to bring diverse, high-fidelity simulations directly into autonomous vehicle testing pipelines.<\/p>\n

Capgemini<\/a><\/strong> and TCS<\/strong> are already tapping into this integration to expand their simulation capabilities and push the boundaries of software-defined vehicle development.<\/p>\n

Expanding the Ecosystem: Automotive Leaders Embrace Cloud-to-Car AI<\/b><\/h2>\n

Automotive leaders are embracing NVIDIA\u2019s cloud-to-car AI platform to transform their next-generation vehicles.\u00a0<\/b><\/p>\n

Lucid<\/strong> headlined the IAA showcase with its all-electric Lucid Gravity SUV, which is accelerated by the NVIDIA DRIVE AGX platform, uses the NVIDIA Blackwell architecture and operates on NVIDIA DriveOS.<\/p>\n

Mercedes-Benz<\/strong> introduced its all-new GLC with EQ-technology and announced expansions to its CLA family with the first fully electric shooting brake \u2014 all built on NVIDIA AI, DRIVE AV software and accelerated compute.<\/p>\n

\"\"<\/p>\n

Lotus<\/strong> is featuring the all-electric Eletre SUV, the hyper-GT Emeya and the Theory 1 concept \u2014 all accelerated by NVIDIA DRIVE AGX to deliver high-performance, AI-driven functions for intelligent and safer mobility.<\/p>\n

\"\"<\/p>\n

ZYT<\/strong> is showcasing its autonomous vehicle software platforms built on NVIDIA DRIVE AGX, highlighting how this advanced technology accelerates safer and smarter mobility.<\/p>\n

Volvo Cars<\/strong> highlighted its ES90 Single Motor Extended Range Ultra and EX90 Twin Motor Performance Ultra models, equipped with enhanced safety and driver-assistance capabilities and powered by NVIDIA DRIVE AGX and DriveOS for improved AI performance and safety.<\/p>\n

\"\"<\/p>\n

Global Tech Leaders Accelerate Software-Defined Vehicles With NVIDIA<\/b><\/h2>\n

Beyond automakers, technology leaders across the globe are building on NVIDIA AI to accelerate the development of software-defined vehicles.<\/p>\n

MediaTek<\/strong> is working closely with NVIDIA to bring GPU-powered intelligence into its Dimensity Auto Cockpit solutions, enabling advanced in-car experiences through premium graphics and intelligent assistants.<\/p>\n

ThunderSoft<\/strong> introduced its new AI Box built on DRIVE AGX, designed to run large-scale AI models for intelligent cockpits. The AI Box is complete with personalized copilots, safety monitoring and immersive cabin experiences.<\/p>\n

Cerence<\/strong> is presenting its xUI AI assistant at IAA, built on CaLLM models and running on NVIDIA DRIVE AGX with DriveOS. With NVIDIA NeMo Guardrails, it ensures safe, context-aware, brand-specific voice interactions across both edge and cloud.<\/p>\n

ZF Group<\/strong> is showcasing its ProAI supercomputer accelerated by NVIDIA DRIVE AGX. The supercomputer unifies advanced driver-assistance systems, automated driving or chassis control into a scalable architecture to unlock capabilities, from entry-level deployments to full autonomy.<\/p>\n

RoboSense<\/strong> is integrating its high-performance automotive-grade digital lidar with the DRIVE AGX platform, enhancing system performance, while Desay SV is showcasing its NVIDIA DRIVE Thor-based domain controller, a next-generation smart mobility solution shaped by advanced AI.<\/p>\n

Magna<\/strong> is showcasing its future-ready, centralized advanced driver-assistance system platform designed for flexibility and scalability. This advanced system integrates a comprehensive suite of sensors, accelerated by NVIDIA DRIVE AGX Thor.<\/p>\n

Watch <\/i>Kani\u2019s IAA keynote<\/i><\/a> to see how NVIDIA is accelerating the future of autonomous driving with a cloud-to-car platform. <\/i>
<\/i>
<\/i>Learn more about NVIDIA\u2019s work in <\/i>autonomous vehicles<\/i><\/a> and the NVIDIA automotive partner ecosystem<\/i><\/a>. <\/i>Follow NVIDIA DRIVE on<\/i> LinkedIn<\/i><\/a> and <\/i>X<\/i><\/a>.\u00a0<\/i><\/p>\n<\/p><\/div>\n","protected":false},"excerpt":{"rendered":"

https:\/\/blogs.nvidia.com\/blog\/iaa-mobility-ai-defined-vehicles\/<\/p>\n","protected":false},"author":0,"featured_media":4262,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[3],"tags":[],"_links":{"self":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/4261"}],"collection":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/comments?post=4261"}],"version-history":[{"count":0,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/4261\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media\/4262"}],"wp:attachment":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media?parent=4261"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/categories?post=4261"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/tags?post=4261"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}