Continental’s Advanced Driver Assistance Systems (ADAS) team needed to process more than 150 terabytes (TB) of data to inform design decisions that would increase connected and autonomous vehicle safety. The team first wanted to pull image and sensor data from vehicles in different geographies including Europe, America and Asia. Its next priority was to store and process it in a connected central repository quickly accessible by hundreds of engineers worldwide.
Continental leveraged carbon-neutral AI infrastructure, including Platform Equinix® to build and interconnect its AI-driven NVIDIA DGX™ graphics processing unit cluster and IBM Elastic Storage System 3000, reducing AI training time to augment safety standards from weeks to days. This approach, featuring real-time data access for its scalable, future-proof AI, boosted performance to accelerate deployment, enable more experiments with secure data protection and enhance data privacy controls.