Autonomous driving involves multiple sensing devices that continuously scan the environment. It also requires a method for delivering and processing all of that data in a manner that can be used by vehicles to respond accordingly. Ultimately, developers want vehicle performance and response to consistently improve over time.
Zenseact, a startup owned by Volvo Cars, is focused on developing safe and autonomous driving software with the features to manage increased traffic flow, support safer journeys, and minimize its environmental impact. The company’s consumption-based platform delivers tens of thousands of simulations per second.
But a challenge remained in translating mass amounts of data into usable signals. Since each car is built with up to 23 advanced sensors, including cameras, they collectively generate many gigabytes of data per second. For this reason, Zenseact needed a technology partner that could enable the delivery of thousands of self-driving simulations per second. That data would need to be stored and captured inside of the car and then transferred to a datacenter for data processing, making it available to its developers.
A high-performance platform able to scale up or down was key to managing this process. This platform would need to process data quickly within a set number of hours. In selecting a partner to enable this, the company hoped to gain both the right blend of services alongside the ability to scale globally.
Zenseact found all of this and more within HP Greenlake’s consumption-based model, which provided the flexibility it needed along with a payment program based solely on actual use. The company is now equipped to solve the challenge of the century backed by a technology partner that can address their business needs well into the future. Learn more about Zenseact’s partnership with HPE at https://www.hpe.com/us/en/greenlake/customer-stories.html?media-id=%2Fus%2Fen%2Fresources%2Fgreenlake%2Fvideo%2F372576d8-f6c9-4dfc-8497-fac44333d6e7%2F_jcr_content.details.json