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    Nvidia DRIVE Platform Secures Uber, BYD, and Hyundai as Tesla (TSLA) Faces New Pressure

    Oliver DaleBy Oliver DaleMarch 17, 2026
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    Contents:

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    • Key Takeaways
    • Widespread DRIVE Adoption Could Reshape Valuation Models
    • Terafab Project Points Toward Infrastructure Ambitions

    Key Takeaways

    • Jensen Huang, Nvidia’s CEO, forecasted AI infrastructure demand reaching $1 trillion from 2025 through 2027 during the GTC conference
    • Uber’s robo-taxi rollout will leverage DRIVE technology across 28 markets worldwide by 2028, entering territory Tesla aimed to dominate
    • Major automakers including BYD, Hyundai, and Nissan committed to integrating Nvidia’s DRIVE platform for autonomous vehicle systems
    • Analysts at Morgan Stanley estimate Tesla’s autonomous technology carries a valuation of approximately $270 per share, totaling roughly $1.2 trillion based on maintaining technological differentiation
    • Elon Musk revealed the “Terafab Project” will begin in seven days, suggesting Tesla’s expansion into AI hardware development

    The market has consistently awarded Tesla a valuation premium based on its artificial intelligence capabilities and autonomous driving vision. Monday’s Nvidia GTC conference highlighted a critical consideration for shareholders: how does that premium hold up when self-driving technology becomes widely accessible?

    NVIDIA CEO Jensen Huang today: “The Chat-GPT moment for self-driving cars has arrived.

    NVIDIA announced that they’re now expanding their self-driving partnership to BYD, Nissan, Hyundai, and Geely.

    Their automotive partners:
    • GM
    • Toyota
    • Mercedes-Benz
    • Jaguar Land… pic.twitter.com/qs5HYP5Val

    — Nic Cruz Patane (@niccruzpatane) March 16, 2026

    Jensen Huang, Nvidia’s CEO, delivered projections showing $1 trillion in AI infrastructure demand spanning 2025 to 2027. The announcement drawing immediate attention from Tesla investors centered on Nvidia’s DRIVE platform — a comprehensive solution enabling any vehicle to function as a robo-taxi through the DRIVE AGX Thor computing system combined with camera and lidar sensor arrays.


    TSLA Stock Card
    Tesla, Inc., TSLA

    Uber revealed plans to deploy DRIVE-powered robo-taxis throughout 28 international markets before 2028 ends. This partnership represents an opportunity that could have aligned with Tesla, given the company’s Cybercab development and autonomous fleet business strategy.

    Uber’s announcement came alongside similar commitments from BYD, Hyundai, and Nissan, all choosing to integrate DRIVE into their autonomous vehicle programs. Every additional partnership extends Nvidia’s reach into a market segment Tesla’s been positioning as central to its growth trajectory.

    Electric vehicle sales at Tesla have declined for two straight years across both U.S. and Chinese markets. The stock has climbed 141% during the previous two years, though that appreciation stems primarily from robo-taxi expectations and AI potential rather than traditional automotive sales performance.

    Morgan Stanley’s analysis assigns $270 per share specifically to Tesla’s autonomous driving capabilities — translating to approximately $1.2 trillion when calculated against 4.5 billion fully diluted shares. This valuation depends on Tesla maintaining a technological edge that competitors find difficult to replicate.

    Widespread DRIVE Adoption Could Reshape Valuation Models

    Should DRIVE emerge as the industry-standard platform for automakers globally, autonomous capability transforms from competitive advantage to standard equipment. Fleet operators and individual buyers would still purchase the technology, though likely at margins that fall short of supporting trillion-dollar valuations.

    Musk has dismissed these concerns. He stated in early 2026 that he’s “not losing any sleep” over Nvidia’s self-driving tech and expressed that he “genuinely hopes Nvidia succeeds.” The statement leaves investors to determine whether this reflects strategic positioning or authentic confidence.

    Tesla currently ranks among Nvidia’s significant hardware customers. The company’s AI divisions operate extensive GPU clusters for training the neural networks powering Full Self-Driving capabilities and robotics initiatives. This positions Tesla among Nvidia’s rapidly expanding compute purchasers.

    Terafab Project Points Toward Infrastructure Ambitions

    Musk’s recent announcement on X revealed the “Terafab Project” will commence within days. The initiative suggests Tesla aims to expand beyond chip consumption into building proprietary AI infrastructure. Tesla already produces custom vehicle processors and operates the Dojo training platform.

    This strategic direction follows the path established by Alphabet and Amazon — both developed specialized AI processors to decrease reliance on external suppliers like Nvidia.

    Tuesday’s premarket trading showed Tesla down 0.1% at $395. Nvidia gained 0.3% to reach $183.76. Uber advanced 2.6% to $76.60 following the DRIVE partnership announcement.

    Share. Twitter LinkedIn Email Telegram
    Oliver Dale
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    Editor-in-Chief of Computing.net and founder of Kooc Media, A UK-Based Online Media Company. Believer in Open-Source Software, Blockchain Technology & a Free and Fair Internet for all. His writing has been quoted by Nasdaq, Dow Jones, Investopedia, The New Yorker, Forbes, Techcrunch & More. Contact Oliver@blockonomi.com

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