CES 2026 New Operating System for Autonomous Driving

From Mario Hommen/SP-X | Translated by AI 2 min Reading Time

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At CES, Nvidia opens its Drive Hyperion platform to major suppliers, combining supercomputers, sensors, and AI into an open ecosystem.

Nvidia presented its open ecosystem Drive Hyperion at CES 2026.(Image: Nvidia)
Nvidia presented its open ecosystem Drive Hyperion at CES 2026.
(Image: Nvidia)

The chip provider Nvidia is expanding its ecosystem for autonomous driving. At the CES electronics fair (until January 9) in Las Vegas, the US company announced plans to open its Drive Hyperion platform to additional Tier-1 suppliers, system integrators, and sensor partners. The newly involved or more closely cooperating companies include Bosch, Magna, Sony, and ZF.

The goal is to provide a standardized combination of high-performance computers, sensors, and safety-certified software that reduces development effort and testing times while facilitating the integration of various hardware and software solutions. Several suppliers plan to develop electronic control units based on Drive Hyperion. At the same time, sensor manufacturers are making their camera, radar, lidar, and ultrasound systems compatible with the open architecture. The safety and cybersecurity framework "Halos" aims to support suppliers and vehicle manufacturers in validation, certification, and continuous testing based on simulations and real driving data.

Technically, Drive Hyperion is based on two Drive AGX Thor systems with Blackwell architecture. Nvidia specifies the computing power as more than 2,000 FP4 teraflops, designed for 360-degree sensor fusion and AI-supported real-time perception.

AI Environment as Open Source

The platform expansion is complemented by the new AI portfolio Alpamayo, which Nvidia also unveiled at CES. The open bundle of AI models, simulation frameworks, and physical AI datasets is specifically designed for Level 4 autonomous driving. Alpamayo aims to enable vehicles to perceive and interpret complex traffic situations in their surroundings and act with human-like judgment. Nvidia emphasizes transparency and traceability of decisions to facilitate safety validation and support collaboration with regulatory authorities.

According to Nvidia, the Alpamayo portfolio can be seamlessly integrated into the existing autonomy stack. Developers and manufacturers will thus be able to implement autonomous functions more quickly without having to completely rebuild an autonomy infrastructure. Industry observers see Alpamayo as a strategic move towards an open platform model for autonomous driving that can be flexibly adapted to different vehicle concepts.

With the expansion of its software components and growing partner network, Nvidia aims to accelerate the development of production-ready, highly automated driving functions for passenger cars and commercial vehicles, paving the way for large-scale autonomous driving.

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