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Einride, Nvidia partner on heavy-duty autonomous trucking

Einride expects its footprint to reach 1,500 to 2,000 vehicles by 2028 and says about 80% of that demand is suitable for automation in the medium term. The post Einride, Nvidia partner on heavy-duty autonomous trucking appeared first on FreightWaves .

Einride, Nvidia partner on heavy-duty autonomous trucking

Einride, a Swedish company specializing in electric trucks, has partnered with Nvidia to develop the next generation of autonomous driving technology for heavy-duty trucks. The collaboration aims to adapt Nvidia's Hyperion platform, a compute and sensor reference architecture for Level 4 autonomy, to cater to the demands of highway and suburban autonomous operations.

Einride operates hundreds of electric trucks across the U.S., Europe, and the Middle East, with about 80% of its customer demand suitable for automation in the medium term. The company projects that its fleet will grow to 1,500 to 2,000 vehicles by 2028, based on current customer demand. Henrik Green, Einride's chief technology officer, stated that the partnership with Nvidia will enable the company to scale autonomous deployment across an existing freight network already serving customers.

Nvidia will provide the compute platform and AI development tools, while Einride will handle safety validation, regulatory approval, and customer deployments. The two companies plan to work closely to extend Hyperion's capabilities to meet the unique requirements of heavy-duty freight. Hyperion comes integrated with Nvidia's Halos safety system, and Einride intends to deploy Nvidia's Blackwell architecture for model training at scale through an Nvidia Exemplar Cloud partner.

Autonomous trucking is seen as a significant opportunity to enhance the safety and efficiency of global freight, according to Rishi Dhall, Nvidia's vice president of automotive. The specifics of when the first Hyperion-based Einride trucks will enter service have not been disclosed.

Written by urgent.news from FreightWaves's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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