Autonomous Vehicles

Cray Solutions for Autonomous Vehicles

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The Superhighway to Autonomous Driving

Autonomous vehicles may be the next sea change in automotive technology. But creating a viable commercially autonomous product will take an unprecedented leap in artificial intelligence capabilities. And making that leap will require unprecedented amounts of data.

How fast you advance toward your autonomous driving project goals depends in large part on the compute and storage infrastructure supporting you. Cray can help. We have an unbroken record of combining high-performance I/O, storage, and networking technologies in systems that put you in the passing lane – the self-driving passing lane that is.

Start with the right partner.

We've been helping visionaries like you solve the most complex computing problems for over four decades.

Big Goals for Your Autonomous Vehicle Project? You’ve Got This.
Just Stop Making This One Mistake.

Safely operating a vehicle is a complex task. It requires near-instantaneous and intuitive responses to rapidly changing factors and environments. It’s complex for a human. Now train an artificial intelligence system to do what you can do in real-time — but better. The complexity spikes. Success takes a constant flow of massive amounts of data moving through an extremely data-and compute-intensive AI workflow. Success also takes implementing the right technology for each stage of the entire AI workflow.

What mistake are you making?

Sticking with enterprise storage. Simply scaling up existing enterprise storage technologies will not address the real-world requirements of your autonomous driving projects. Rather, it will slow down your autonomous development, balloon your budget ― and erode your hard-won competitive advantage.

Download our white paper to find out why enterprise storage can’t support your autonomous driving project and how Cray HPC storage does.

An HPC Use Case

AI system design for self-driving vehicles has quickly become a supercomputing use case. And your storage solution is no different. To succeed with autonomous vehicle system design workflows, it must meet all three points on the Storage Challenge Triangle – affordability, scalability, and throughput. Of the five main enterprise storage technologies today, all fail to address some or all self-driving technology requirements. Only HPC storage meets the demands of all three.

Get an expert perspective on the compute and storage requirements of an end-to-end AI system design workflow.

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Cray high-performance storage for autonomous driving offers the right performance, density, and capacity at a budget that keeps your project in balance.

Fast, scalable ClusterStor storage meets all the requirements of the storage challenge for autonomous driving. It embeds the Lustre® file system in an engineered HPC storage system and incorporates the industry’s highest-performing and most efficient data storage technologies. The result is maximum storage performance at the lowest overall TCO.

The supercomputing technology landscape is evolving rapidly, with many moving parts and many operational choices to make. Cray has the expertise to guide you through the decision-making process, backed by best-in-class technical support and workload and utilization consultation.


Cray has been solving the most complex computing problems in science and industry for over 45 years. Organizations big and small trust Cray experts. We’ll work closely with you to get you on the right path for your autonomous driving goals and then we’ll stay with you to make sure you have what you need to succeed.

See what others have achieved with Cray

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