Nvidia CEO Jensen Huang praising Tesla's FSD on CES stage amid AI models and competition charts.
Nvidia CEO Jensen Huang praising Tesla's FSD on CES stage amid AI models and competition charts.
Billede genereret af AI

Nvidia lauds Tesla FSD in Alpamayo launch; analysts flag competition

Billede genereret af AI

Following its unveiling of open-source Alpamayo AI models at CES 2026, Nvidia CEO Jensen Huang praised Tesla's Full Self-Driving as 'world-class,' while noting strategic differences. Elon Musk dismissed threats to Tesla, revealing hefty Nvidia hardware investments. Analysts see potential challenges to Tesla's self-driving lead amid bullish Nvidia sentiment.

Nvidia CEO Jensen Huang showered praise on Tesla's Full Self-Driving (FSD) technology during the CES 2026 rollout of Alpamayo—a suite of AI models, simulation tools, and datasets for complex road navigation—alongside confirmation that its next-generation Vera Rubin chips have entered full production. Huang called FSD 'world-class' and 'state-of-the-art' across design, training, data, and performance, crediting its end-to-end model trained on vast real-world data. He shared: 'I have it, and I drive it in our house, and it works incredibly well.'

Yet Huang differentiated Nvidia's approach: 'Nvidia doesn’t build self-driving cars. We build the full stack so others can,' offering modular training, simulation, and computing systems. Partners like Tesla, Waymo, XPeng, and Nuro can adopt them flexibly, with models open-sourced to spur industry-wide adoption of advanced autonomy in hundreds of millions of vehicles within a decade.

Tesla CEO Elon Musk countered on X that Nvidia's tech lags years behind Tesla at scale, especially for legacy automakers. He disclosed: 'By the end of this year, Tesla will have spent ~$10B cumulatively just on Nvidia hardware for training,' bolstered by proprietary AI4 chips for efficient video processing.

Altimeter Capital's Freda Duan hailed Alpamayo as an 'Android moment' for autonomy—the first full decision-making stack beyond chips. She pegged Tesla's 2024 training spend at $3-4 billion, scaling to ~$5 billion yearly, but cautioned that broader access could erode its edge. Real tests lie in deployments like Mercedes-Benz's 2026 CLA, limited by current hardware's camera constraints. Tesla presses on with AI5 nearing production, AI6 ahead, and Musk eyeing a massive fab.

Stocktwits reflected 'extremely bearish' Tesla vs. 'bullish' Nvidia sentiment amid high volume, even as Tesla shares rose 5% and Nvidia 30% over the past year.

Hvad folk siger

X discussions praised Jensen Huang's acknowledgment of Tesla FSD as world-class while noting strategic differences with Alpamayo. Elon Musk dismissed short-term threats, citing Tesla's $10B Nvidia hardware investments and a 5-6 year lead due to fleet scale. Analysts expressed skepticism on Tesla's autonomy premium, viewing Alpamayo as enabling faster catch-up by OEMs. Tesla enthusiasts emphasized real-world data superiority over Nvidia's open-source approach.

Relaterede artikler

Tesla's Full Self-Driving (Supervised) system has accumulated over 8.4 billion cumulative miles driven worldwide as of March 2, 2026, per the company's safety page—nearing CEO Elon Musk's 10 billion mile target for safe unsupervised self-driving. In parallel, Tesla has begun supervised FSD testing in Abu Dhabi under local oversight.

Rapporteret af AI

Following the recent halt of Model S and X production to boost the Optimus robot, Tesla faces regulatory hurdles, a key Cybercab leadership departure, and competition from BYD, now the top EV seller. Disputes over Autopilot and Full Self-Driving persist amid zero reported autonomous test miles in California for 2025.

Dette websted bruger cookies

Vi bruger cookies til analyse for at forbedre vores side. Læs vores privatlivspolitik for mere information.
Afvis