PATEO brings Nemotron and Doubao to its in-vehicle AI Box
PATEO says it is deploying Nemotron and the 35-billion-parameter Doubao model in its NVIDIA DRIVE AGX Thor-based AI Box for local in-vehicle inference.
AT A GLANCE
Key points
- The AI Box combines Nemotron and the 35-billion-parameter Doubao model for local inference.
- The suite includes multilingual ASR, TTS and a 2-billion-parameter classification model.
- PATEO expects mass production for one vehicle program in the second quarter of 2027.
What is changing?
PATEO announced that its NVIDIA DRIVE AGX Thor-based AI Box runs NVIDIA Nemotron and ByteDance’s 35-billion-parameter Doubao mixture-of-experts language model in the vehicle. According to the manufacturer’s November 2 announcement, the system is designed to support multilingual voice interaction, understand cabin context and coordinate vehicle functions within safety permissions.
The suite includes Nemotron 3.5 ASR, text-to-speech and a separate 2-billion-parameter model for semantic classification and request rejection. PATEO says core inference can run locally without a cloud connection, while connected services and updates extend capabilities when connectivity is available.
PATEO says it has secured a project nomination for a new-energy vehicle program and expects mass production in the second quarter of 2027. That schedule and field performance have not been independently verified; automakers should test latency, thermals, power use, safety boundaries and the handling of personal preference data in real vehicles.
Explore the original sources
Source date: 2 November 2026.
Published by AI Radar: 3 Nov 2026, 09:07 (Istanbul, UTC+3).
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