Foxconn and Nvidia are joining forces on technology for automated and autonomous vehicles, bringing Nvidia’s computing platform and sensors into vehicles made by the Taiwanese manufacturer. The partnership could reach cars built for other automakers before it reaches a Foxconn-branded vehicle: Foxconn has shown concept vehicles, but has not set out concrete plans to build its own cars.
Computing and control units for automakers
Foxconn is set to become a primary supplier of electronic control units, or ECUs, for automakers. These units are essential components in modern vehicles. Under the partnership, they will be built with Nvidia’s Drive Orin system-on-a-chip, a platform designed to support autonomous driving functions.
The agreement also connects Foxconn’s vehicles with Nvidia’s Drive Hyperion architecture. Hyperion is a suite of sensors that includes cameras, radar, lidar and ultrasonics. Together, the computing hardware and sensor suite are intended to support highly automated driving capabilities.
The arrangement gives the two companies different roles. Nvidia supplies the computing platform and sensor architecture, while Foxconn brings its manufacturing capabilities and plans to supply ECUs. The announcement describes a partnership to develop vehicle platforms, rather than naming a specific production model or a confirmed launch schedule.
Which vehicles could use the technology?
Foxconn did not specify which future vehicles would include Nvidia’s technology. The company is already in the process of manufacturing electric vehicles for Fisker and Lordstown Motors, so vehicles made for other automakers are an immediate possibility. The announcement does not confirm that either company’s vehicles will use the system.
Foxconn has also unveiled two electric vehicle concepts: a pickup and a crossover hatchback. One of them, the Model V pickup, remains a concept prototype. A Foxconn spokesperson told TechCrunch that it “ultimately might use Nvidia technology,” while describing it as a concept prototype EV at the time.
That distinction matters. Foxconn’s statement about vehicles it manufactures using Nvidia’s sensor suite does not establish that those vehicles will carry Foxconn branding. The company clarified that it would not say whether they would be Foxconn-branded or vehicles built for other automakers. It has not announced concrete plans to build Foxconn-branded vehicles.
Why the partnership may matter to production
Nvidia said Foxconn’s manufacturing capabilities could help it scale Drive Orin. For Foxconn, using the Drive Hyperion architecture and Drive Orin system-on-a-chip could help speed up time to market and cut production costs, according to the announcement.
Those goals are relevant to a company entering vehicle manufacturing. Foxconn has extensive experience making consumer electronics, but the source describes building vehicles as a new challenge for the company. The partnership offers a way to use an existing technology platform as it works on vehicles, without the announcement specifying how much development or production work either company will take on.
The broader shift described in the deal is that modern cars increasingly rely on computing, sensors and advanced driver assistance systems. Automakers can turn to outside suppliers for some of those components. Nvidia’s toolkit is already part of the plans BYD and Lucid Motors announced at CES the previous year for current and future advanced driver assistance systems.
A partnership with open questions
The announcement makes the intended technology clearer than its eventual deployment. Drive Orin ECUs and Drive Hyperion sensors are part of the partnership, but Foxconn did not identify the future vehicles that will receive them. Its own pickup and crossover remain concepts, and the company’s manufacturing work for other automakers leaves open where the technology could appear first.
For now, the deal links Foxconn’s production capacity with Nvidia’s self-driving toolkit. Whether that combination reaches Foxconn-branded cars or vehicles it builds for others remains unspecified.