A major step toward large scale self-driving freight deployment is taking shape as Amazon cloud services deepen their collaboration with a German automotive hardware supplier.
AWS has partnered with Aumovio to support the commercial rollout of autonomous vehicles, starting with Aurora’s self-driving trucks. The companies announced that the move expands a long standing partnership focused on artificial intelligence driven autonomous driving development.
As part of the agreement, AWS will become Aumovio’s preferred cloud provider for autonomous driving work powered by AI tools. These tools will be used for the first time to support Aurora’s planned deployment of driverless trucks at scale from 2027.
Automakers around the world have invested billions in AI systems to enable self-driving technology. Progress has been slowed by complex technical challenges, but the latest collaboration signals a shift from research toward real world commercial use, especially in freight transport. Aurora has already begun limited driverless operations in the United States.
With access to AWS cloud systems, Aumovio engineers will analyse massive volumes of driving data using generative and agentic AI. This allows them to identify rare and critical scenarios such as road debris or pedestrians in traffic lanes and accelerate the training and validation of autonomous systems.
“When you validate a Level 4 system, you’re trying to prove it behaves correctly in extremely rare situations that are very hard to find in the real world,” said Jeremy McClain, head of system and software at Aumovio’s autonomous mobility unit, in an interview with a global news agency. “Without AI, finding those edge cases in massive data sets would be very difficult.”
Aumovio was spun off last year from German tyre maker Continental. The company supplies the hardware platform for Aurora’s self-driving system, along with a separate fallback system. This backup system is designed to safely bring a truck to a stop if the primary autonomous driver fails, company executives said.
The partnership highlights how cloud computing and AI are becoming central to the next phase of autonomous driving, as companies prepare for wider commercial adoption on public roads.
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