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Daimler’s Torc Robotics has selected Amazon Web Services (AWS), Inc. as its preferred cloud provider to handle the scale and speed needed for data transfer, storage, and compute capacity as the company prepares to deploy its fleet of next-generation self-driving test trucks.

With the growth in test fleet size, number of routes, and sensor capability, there is an increase in data ingestion and analysis needs by engineering teams in the U.S. and in Germany.

Its test fleet in New Mexico is already generating petabytes of data from tests on public roads.

Torc is an independent subsidiary of Daimler Truck AG, responsible for commercialising a Level 4 autonomous system that will be offered to trucking customers. 

Michael Fleming, Torc’s CEO, says: “Our next generation fleet of test trucks will help us rapidly grow our capabilities and accelerate the commercialization of Level 4 self-driving trucks. Our ability to handle the data involved must be able to keep up – whether it’s for transfer, storage, or scaling our simulation capability. With AWS, we have a trusted solution that provides the computing scale, transfer speed, and security when we need it.”

Wendy Bauer, Director of Automotive Sales, AWS, adds: “The race to develop self-driving vehicles generates massive volumes of data from many types of sensors. With AWS, Torc engineers have the speed, flexibility, and insights they need to design tests, run simulations at scale, and refine their experiments using a broad range of highly specialized compute instance types. By pairing Torc’s industry-leading technology with AWS’s reliability, security, and deep expertise in autonomous vehicle development, Torc is positioned to remain a leader and introduce the benefits of self-driving trucks to society.”

Torc Robotics Baut Auf Cloud Lösungen Von Amazon Web Services Torc Robotics Selects Aws As Preferred Cloud Provider For Self Driving Truck Fleet

Founded in 2005 and headquartered in Blacksburg, Virginia, Torc has 16 years of experience in pioneering safety-critical, self-driving applications. 

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