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GM spent $10 billion building Cruise's robotaxi brain before shutting Cruise…

2026-08-06 · 02:28 UTC ·@aakashgupta ·2 min read

Brief

Nvidia's release of Alpamayo 2 Super — a 32B-parameter reasoning model posted to Hugging Face under OpenMDW-1.1 for commercial use — follows GM's $10B Cruise failure and aims to shift AV economics by centralizing cloud fine-tuning, synthetic data generation, and distillation to DRIVE Thor silicon. Uber pledged 100,000 L4 vehicles from 2027; author argues this commoditizes the 'brain' and moves margin to hardware.

Why it matters

GM spent $10 billion building Cruise's robotaxi brain before shutting Cruise; Nvidia posted Alpamayo 2 Super to Hugging Face for free commercial use under the OpenMDW-1.1 license.

Key details

  • Alpamayo 2 Super is a 32‑billion‑parameter reasoning model designed to live in the cloud for fine-tuning on fleet driving data, synthetic long‑tail scenario generation, and distillation to run on DRIVE Thor (Nvidia silicon in vehicles), funneling GPU compute to Nvidia at every step.
  • Nvidia reported $604 million in automotive revenue last quarter versus $62.3 billion in data‑center revenue; Uber committed to 100,000 Level‑4 vehicles on Nvidia's platform starting 2027, and the author argues the free 'brain' commoditizes Waymo's guarded stack (since 2009) and shifts margin to vehicle hardware.
Source evidence

GM spent $10 billion trying to build a robotaxi brain, then shut Cruise down. Nvidia just posted one to Hugging Face, free for commercial use.

The economics of the giveaway are the real story. Automotive is Nvidia's smallest segment, $604 million last quarter against $62.3 billion in data center. A free frontier model looks like charity from a company printing those numbers.

Follow where the compute goes. Alpamayo 2 Super is a 32-billion-parameter reasoning model built to live in the cloud, where teams fine-tune it on their own driving data, generate synthetic long-tail scenarios, and distill it down for the car. Every one of those steps burns Nvidia GPUs. The distilled model then ships on DRIVE Thor, which is Nvidia silicon inside every vehicle, for the life of the fleet.

Google ran this play with Android. Give the operating system away and the industry standardizes on the layer you actually sell. Every AV program that builds from scratch is a bespoke customer Nvidia has to win. Every program that starts from Alpamayo is already inside the funnel on day one.

The demand side is lining up too. Uber committed to 100,000 level 4 vehicles on Nvidia's platform starting 2027, and Jensen is talking about billions of autonomous machines beyond cars: trucks, shuttles, tractors, delivery bots.

Waymo has guarded its driving stack as the crown jewel since 2009. Nvidia just declared the crown jewel a commodity. When the brain is free, all the margin flows to the body it runs on.

Jensen Huang (@JensenHuang)

Today, we’re launching Alpamayo 2 Super, our frontier open reasoning model for autonomous vehicles.

Beyond seeing, Alpamayo understands and reasons through the complex world - thinks before it acts.

It’s a powerful backbone for robotaxis, trucks, shuttles, delivery vans, tractors and the long tail of mobile robots—billions of autonomous machines someday.

We’re releasing it for commercial use under OpenMDW-1.1 so teams can inspect it, fine-tune it and deploy it—open models advance safety and security.

The next wave of AI is robotics—and it starts with autonomous vehicles.

Great work, Alpamayo team!

blogs.nvidia.com/blog/alpama…

— https://nitter.net/JensenHuang/status/2084656303046332747#m