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Nvidia announces the Drive Thor processor with 77B transistors for self-driving vehicles, arriving in 2024 for cars coming in 2025, starting with Zeekr's 001 EV

CNET Stephen Shankland

Context & Ripple Effects

Drive Thor extends Nvidia’s automotive-computing sequence from the Drive PX 2 self-driving computer and the Pegasus platform for highly autonomous vehicles. Nvidia had also already moved from chip announcements to vehicle programs through its Volvo partnership for next-generation driver-assistance features.

Zeekr’s planned 001 deployment gives the new processor an identified vehicle starting point rather than leaving it as a standalone component launch. Later coverage of Drive Hyperion adoption by multiple automakers shows the strategic importance of converting individual vehicle wins into a broader Nvidia vehicle platform.

First-order effects

  • Zeekr becomes the first named automaker scheduled to put Drive Thor into a production vehicle program, while Nvidia gains a visible path from processor launch to a 2025 car.
  • Nvidia’s automotive offering advances from earlier self-driving compute platforms toward a processor positioned for vehicle AI workloads.

Second-order effects

  • Automakers evaluating Nvidia’s stack have a clearer production reference in Zeekr, while Nvidia’s prior Volvo relationship shows that its automotive sales effort spans both driver-assistance and more automated-driving programs.
  • A processor-led launch increases the value of Nvidia’s surrounding vehicle platform: subsequent Drive Hyperion commitments from BYD, Geely, Isuzu, and Nissan indicate that automakers can adopt a broader Nvidia architecture rather than source isolated compute components.

Third-order effects

  • If vehicle programs continue to converge on Nvidia’s processor-and-platform stack, automotive AI compute may consolidate around suppliers that can carry software and hardware across successive vehicle generations.
  • The progression from Drive PX 2 through Pegasus, Thor, and Hyperion points to vehicle compute becoming a long-cycle platform decision for automakers, rather than a one-model component choice.

The trend: Nvidia is evolving its automotive strategy from discrete self-driving computers into a recurring vehicle AI platform tied to automaker production programs.

Discussion

  • @kentbye Kent Bye VoicesOfVR on x
    1/ @NVIDIA's GTC 97-min keynote is worth watching. https://www.youtube.com/... LOTS of cutting edge XR & AI tech & announcements. Thread 👇🧵breaking down how spatial computing (aka the consumer Metaverse) will be built on top of the enterprise uses of XR & digital twins they show.…
  • @michaelybecker Michael Becker on x
    Unreal is Omniverse's main competition as a central hub for other software; very telling to see which of Epic's milkshakes NVIDIA is reaching for vs. which it leaves untouched. Taking on Digital Twins, Automotive, AEC, Manufacturing - avoiding film/TV virtual production for now h…
  • @anshelsag Anshel Sag on x
    Now we're talking automotive! @NVIDIA is killing Atlan in favor of the much faster Thor SoC #GTC22 https://twitter.com/...
  • @nvidiagtc @nvidiagtc on x
    Introducing NVIDIA DRIVE Thor, our next-gen #AI compute platform for #autonomousvehicles. Wielding 2,000 teraflops, Thor unites AV and cockpit functions on a single computer. Watch now: https://www.youtube.com/... #GTC22 https://twitter.com/...
  • @anshelsag Anshel Sag on x
    This is @NVIDIA Drive Thor SoC for automotive applications, specifically with ADAS applications #GTC22 https://twitter.com/...
  • @stshank Stephen Shankland on x
    Also new today: Nvidia's new Thor processor for cars, which replaces the earlier Atlan for 2024 production & 2025 cars. Thor is 2x faster & includes tech from Nvidia's Hopper and Ada Lovelace GPUs and Grace CPU, Huang said at #GTC22. Here's our story: https://www.cnet.com/... 11/
  • @lanceulanoff Lance Ulanoff on x
    Wonder how Marvel feels about this new NVIDIA robotic AI driving tech #Thor https://t.co/lA17PWR5zH
  • @stshank Stephen Shankland on x
    Nvidia scrapped its 2024 Atlan automotive processor and instead will sell Thor — twice as fast and able to sweep away a mess of other chips. The chip has enough AI performance to power fully autonomous vehicles, @Nvidia says at #GTC22. https://www.cnet.com/...