#CES2023 - NVIDIA and Foxconn to Develop Autonomous Vehicle Platforms

NVIDIA and Taiwan's Foxconn, the world’s largest technology manufacturer, have announced a strategic partnership at CES in Las Vegas to develop automated and autonomous vehicle platforms. As part of the agreement, Foxconn will produce electronic control units (ECUs) based on NVIDIA DRIVE Orin for the global automotive market.

Foxconn manufactured electric vehicles (EVs) will also feature DRIVE Orin ECUs and DRIVE Hyperion sensors for highly automated driving capabilities.

By building EVs on the DRIVE Hyperion qualified sensor set, Foxconn will speed up its time-to-market and time-to-cost strategies.

The NVIDIA DRIVE Orin system-on-a-chip achieves up to 254 trillion operations per second and is designed to handle the large number of applications and deep neural networks that run simultaneously in autonomous vehicles.

NVIDIA DRIVE Hyperion is a modular development platform and architecture for designing autonomous vehicles.

Combined, they process sensor data in real time so autonomous vehicles can safely perceive, plan and act.

Eric Yeh, senior director of the Software Development Center at Foxconn, says: “This strategic cooperation with NVIDIA strengthens the intelligent driving solutions Foxconn will be able to provide. Together, we are enabling the industry to build energy-efficient, automated vehicles. This is a well-considered partnership that leverages unique strengths on each side in the pursuit of innovative EV development and opportunities.”

“Our partnership with Foxconn will provide OEMs developing intelligent driving solutions with a world-class supplier that can scale for volume manufacturing of the NVIDIA DRIVE Orin platform,” adds Rishi Dhall, vice president of automotive at NVIDIA. “Foxconn’s decision to also use the DRIVE Hyperion sensor suite for its EVs will help accelerate their path to production without compromising safety, reliability or quality.”

Since its founding in 1993, NVIDIA has been a pioneer in accelerated computing.