Nvidia CEO Jensen Huang, Nvidia is giving a keynote speaker at the GTC Paris event, where he said that he is ready to revolutionize NVDia’s physical AI system, which are with $ 50 trillion market opportunities in factories, transport and humanoid robots.
The company’s motor vehicle business is expected to reach $ 5 billion this year, with a trillion-dollar capacity as all cars become completely autonomous. But today only 1% of cars on the road are L2+ capable today – suggest an important market opportunity.
NVIDIA announced in Paris that its full-stack drive AV software is now in full production, starting with the Mercedes Benz Clay sedan. This can enable products ranging from infotainment dashboard to AI-driven driving that uses a car supercomputer. The company is also expanding into the Industrial AI, partnering with Siemens and Deuthe Telecom to create an industrial AI cloud in Germany.
NVIDIA’s Halo Security System is recognized by major certification bodies, and new AI equipment and simulation are being issued to pursue autonomous driving and robotics.
NVIDIA said it is planning to release Isaac SIM code as an open source this week.
Volvo’s new ES 90 sedan (launching in the next few months) and JLR’s next generation of cars at the upcoming partner launch in Europe, manufactured on Nvidia’s Full Stack Drive AV platform. JLR will be launched next year. This is the result of years of cooperation.
NVIDIA is also releasing new AI tools and simulation technologies, including three new state -of -the -art Cosmos models to improve AV software performance in difficult conditions.

For AV simulation, the omnipresent blueprint of Nvidia is being upgraded with a new feature, called neural reconstruction, making AV easy for developers.
Reve Libradian, VP of Omonivars and Simulation Technology in Nvidia, said that there is a growing requirement of physical AI in factories and general robotics.
“Now is the era of physical AI, and the need for physical AI is only increasing,” he said. In the next five years, we will have a shortage of labor of 50 million people, he said. He said that it is important to invest in physical AI in things like humanoid robotics.
France, Italy, Spain and UK are among the nations that manufacture domestic AI infrastructure with a domine, Mistral AI, Nebius and NSCLE, and a ecosystem of Telecom provider, Orange, Swisscom, Telephone and Telenor. They are all going to deploy more than 3,000 exflops of the Nvidia Blackwell System for Sovereign AI.
NVIDIA also announced the expansion of Nvidia DGX Cloud Lapton – an AI platform containing a global calculation market, which combines developers building agent and physical AI application – is now available with GPU with a growing network of cloud providers.
And the company announced that it is forming a team to optimize the sovereign large language model (LLM) in association with model builders and cloud providers across Europe and Middle East, providing a springboard to accelerate enterprises ai adoption for the region’s industries.

NVIDIA announces an cooperation to expedite the drug discovery efforts with Novo Nordisk
Abhinav uses AI cases. This task supports Novo Nordisk’s agreement with DCAI to use Gefion Sovereign AI supercomputer.
Siemens and Nvidia also said that they are expanding their partnership to speed up the next era.
Enable industrial AI and digitization and future factory.
Nvidia founder and CEO Jensen Huang said in a statement, “Modern manufacturers face increasing pressure to promote efficiency, increase quality and change market demands.” “Our partnership with Siemens is bringing NVidia AI and intensifying computing in the world’s leading enterprises and opening new opportunities for the next wave of industrial AI.”
Finally, Nvidia announced that it was building the world’s first industrial AI cloud for European manufacturers. The German -based AI factory will include 10,000 GPUs including NVDia DGXTM B29 and NVDia RTX PRTM server and will be able to accelerate every manufacturing application from design, engineering and simulation to factory digital twins and robotics to industrial leaders of Europe.

