Einride has entered a collaboration with NVIDIA to build the next generation of its Einride Driver autonomous system on the NVIDIA DRIVE Hyperion platform, as the freight operator projects its fleet will grow to 1,500–2,000 vehicles by 2028. The Stockholm-based company (Nasdaq: ENRD) said this week that the collaboration with NVIDIA is intended to speed the shift of its existing freight network to autonomous operations. Einride will adapt the platform for heavy-duty trucks, working directly with NVIDIA on the compute, sensor, software, and safety architecture.
Highlights
- Fleet projection: Einride expects its footprint to reach 1,500–2,000 vehicles by 2028, based on customer demand captured on its platform so far.
- Automation share: The company says approximately 80% of that demand is suitable for automation in the medium term.
- Current operations: Einride operates hundreds of electric trucks for shippers across the U.S., Europe, and the Middle East, including autonomous trucks in contracted customer deployments.
- Technology stack: The program combines NVIDIA Hyperion, the NVIDIA Halos safety system, NVIDIA Cosmos, and NVIDIA Blackwell training infrastructure.
Adapting Hyperion for Heavy-Duty Freight
Einride will adapt the NVIDIA Hyperion platform for heavy-duty trucking. The work extends the platform’s compute, sensor, software, and safety architecture to the demands of heavy-duty freight, according to the company.
The release describes Hyperion as a production-ready compute and sensor reference architecture for Level 4 autonomy. Einride’s implementation will be integrated with the NVIDIA Halos safety system. The collaboration follows NVIDIA’s earlier move to extend the DRIVE Hyperion ecosystem toward long-haul freight applications.
Einride said the collaboration supports its push into highway and suburban autonomous trucking. The company has already begun laying groundwork for highway validation on the SH 130 corridor in Texas.
Who Builds the Autonomous Driving System?
Einride retains responsibility for the driving system itself. The company says it designs, builds, and operates the autonomous-driving system end-to-end, including safety validation, regulatory approval, and contracted customer deployments. NVIDIA provides the underlying compute platform and AI development tools that support the system.
“We have the customers, the operational experience and the technology. Building the next generation of the Einride Driver on the NVIDIA Hyperion platform, will enable us to scale autonomous deployment across a freight network that’s already serving customers today,” said Henrik Green, Chief Technology Officer at Einride.
Blackwell Training and Cosmos Data Tools
Einride intends to deploy NVIDIA Blackwell architecture at scale with an NVIDIA Exemplar Cloud partner to train, test, and refine its autonomous driving models. The release defines an Exemplar Cloud partner as a cloud provider whose infrastructure NVIDIA has validated for large-scale AI training performance. Einride characterizes this as compute and development infrastructure that supports its own autonomous-driving stack.
The company is also using NVIDIA Cosmos in its AI development workflow. According to Einride, Cosmos enables it to:
- Search and curate camera data to identify complex edge cases
- Augment real-world data with photorealistic synthetic scenarios that increase the diversity of data used for AI training and validation
“Autonomous trucking represents one of the clearest opportunities to improve the safety and efficiency of global freight,” said Rishi Dhall, vice president of automotive at NVIDIA. “By building on NVIDIA Hyperion with the NVIDIA Halos safety system and using NVIDIA Cosmos and Blackwell infrastructure, Einride can accelerate the development and validation of its autonomous-driving technology and scale deployments across its growing freight network.”
Fleet Scale and Automation Demand
Einride develops and integrates the technologies used to create autonomous and electric freight networks for its shipping customers. The company reports that its current fleet of hundreds of electric trucks is expected to scale to 1,500–2,000 vehicles by 2028, based on customer demand captured on its platform so far. Approximately 80% of that demand is suitable for automation in the medium term as the company continues to advance its autonomous technology, Einride said.
