Accelerating autonomous car development with ready access to global data

Cover Image

The push for intelligent and autonomous cars is the next step for the automotive industry—and it’s an initiative that requires collecting, processing, and analyzing data on an unprecedented scale.

Necessarily, an company interested in deploying autonomous technology needs to ensure that their data architecture can handle the demands of deep learning workloads, Kubernetes applications, multitenancy, and more.

Read this case study to learn why Mercedes-Benz AG chose to back their autonomous driving efforts with an HPE data platform ideal for their use case.

Vendor:
Hewlett Packard Enterprise
Posted:
Feb 8, 2021
Published:
Jan 26, 2021
Format:
PDF
Type:
Case Study
Already a Bitpipe member? Log in here

Download this Case Study!