Autonomous Vehicles White Paper

The Critical Role of Storage in Autonomous Vehicle Development

Finding the balance of scalability, throughput, and affordability.

Autonomous vehicle development presents a number of AI workflow challenges. Challenges that can slow your progress and erode your competitive advantage.

The first (and we’d say foremost) is handling the massive volume of data. Take a fleet of 100 training vehicles. Each car generates about 5 TB of data per hour. Extend that to 8 hours a day, 5 days a week. That single fleet generates 20 PB of data to manage. Every week.

How would you handle it?

Download our free white paper to learn more about:

AI workflow for self-driving cars

Storage Challenge Triangle

Why enterprise storage fails

Cray’s been solving the world’s biggest compute and storage problems for over 45 years. Our holistic approach to system configuration ensures every component works together in peak efficiency, now and into the future.

Explore related resources:

 All fields are required.















May HPE provide you with personalized communications about HPE and select HPE-partner products, services, offers and events?



For more information on how HPE manages, uses and protects your information please refer to HPE Privacy Statement. You can always withdraw or modify your consent to receive marketing communication from HPE. This can be done by using the opt-out and preference mechanism at the bottom of our email marketing communication or by following this link to unsubscribe.

If you have provided your mobile number to receive marketing communications, please note that roaming charges may apply.