Developing Autonomous Vehicles with Cloud Computing
Building autonomous vehicles now involves more than just sensors and software. Companies must excel in managing massive amounts of data, conducting large-scale simulations, and ensuring safety across millions of scenarios before the vehicles hit the road. For automotive firms focused on self-driving systems, the ability to test and retrain models at scale has become just as crucial as the vehicles themselves.
This shift towards data-driven development has made cloud infrastructure essential for autonomous driving projects. Training and validating self-driving systems demand low-latency compute, high-throughput data processing, and the capability to conduct numerous tests under varying conditions. On-premise systems often struggle to meet these requirements, particularly with extended development timelines.
Aumovio is one company embracing this approach, leveraging cloud-based computing and AI tools for its autonomous vehicle initiatives. The company has chosen Amazon Web Services as its primary cloud provider, utilizing its infrastructure for simulation, testing, and AI-driven development workflows.
With plans to incorporate agentic and generative AI into their processes, Aumovio aims to accelerate the development and testing of autonomous systems. These tools will support activities such as simulation design, software testing, and data analysis, crucial areas where complexity can slow down development cycles.
Cloud technology will play a pivotal role in an upcoming customer project focused on autonomous trucking. Aumovio’s Aurora autonomous trucks are set to go into production in 2027, equipped with a backup computer to ensure system reliability in safety-critical situations. The Aurora Driver has successfully met over 10,000 requirements and passed 4.5 million tests conducted on AWS infrastructure as part of the validation process.
According to Ismail Dagli, executive board member at Aumovio, “Our partnership with AWS is fundamental to our strategy of leading the shift towards autonomous mobility. By combining cloud infrastructure, AI capabilities, and automotive expertise, we are efficiently translating data into actionable insights within complex information environments. This collaboration not only accelerates development for our clients but also promotes safety, efficiency, and innovation in autonomous driving.”
From a business perspective, the focus is less on the sheer numbers as marketing metrics and more on showcasing scalability. Conducting millions of tests has become the norm in autonomous driving, emphasizing the importance of rapid test iteration, input adjustments, and result evaluation without the need to rebuild infrastructure each time. Cloud platforms facilitate this iterative process, despite concerns about costs and long-term reliance.
This trend extends beyond individual companies or projects, as self-driving systems share similarities with large AI models used in various domains. Just as with large language models, autonomous vehicles benefit from increased data and compute resources. In fact, researchers at Waymo noted in mid-2025 that scaling laws for autonomous vehicles parallel those of large language models, demonstrating tangible improvements with more data and compute power.
As a result, more automotive companies are turning to major cloud providers with global GPU fleets and flexible capacity. BMW announced in 2023 its decision to transfer autonomous vehicle data to AWS, citing the need to handle growing sensor data volumes and simulation workloads.
For enterprises outside the automotive sector, the key takeaway is not limited to self-driving vehicles but reflects broader shifts in AI development. Safety validation, redundancy, and repeatable testing are now standard requirements for AI systems operating in real-world settings. Cloud infrastructure may not address every challenge, but it offers a practical solution for managing scalability without prematurely committing to fixed hardware choices.
Ozgur Tohumcu, general manager of Automotive and Manufacturing at AWS, stated, “At AWS, we believe the future of autonomous mobility is more than just technology—it’s about empowering our partners to deliver safer, more efficient transportation on a large scale. Our collaboration with Aumovio and Aurora exemplifies this vision, combining AWS’s AI and cloud infrastructure with Aumovio’s automotive expertise to enable Aurora’s expansion in autonomous trucking while upholding stringent safety standards.”
Established in September 2025, Aumovio emerged as a distinct entity following its spin-off from the Continental Group. Headquartered in Frankfurt, Germany, the company’s adoption of cloud-based AI development underscores the industry-wide shift towards prioritizing data and compute management alongside advancements in vehicle hardware.
(Photo by Sander Yigin)
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