Cray Accel AI Deep Learning

Cray Accel AI Deep Learning

Everything you need to go from exploration to production

Cray Accel AI turns our supercomputing expertise, technologies and best practices into solutions that advance the adoption of deep learning. These fast-start reference configurations—all based on Cray® CS-Storm™ technology —range from a starter system ideal for AI exploration to complete, production-level systems for the entire AI workflow, meeting the needs of data science teams that are under pressure to shorten time to value.

We’ve taken what we’ve learned in other high-performance computing domains and applied it to AI, making it easy for your IT team to quickly get started with a single system that makes AI a reality.

Choose from three configurations:

Cray Accel AI Exploration
for tool exploration &
early model development

Cray Accel AI Prototype
for small-team artificial
intelligence projects

Cray Accel AI Production,
a complete system for
production-level deep learning


Wherever you are on your AI journey, whether you’re just starting out or ready to deploy AI applications in production, we have the high-powered computing systems and industry expertise to make artificial intelligence work for you.

Download

Explore related resources:

Related Resources

Cray and NVIDIA: Artificial Intelligence at Any Size

Artificial intelligence and, in particular, deep learning are rapidly transforming entire industries and scientific disciplines. We give you the tools and support to guide you to success whether you’re just starting out or ready for production AI.

Overview: Cray CS-Storm Cluster Supercomputer

The Cray CS-Storm cluster supercomputer is an integrated system ready to tackle machine learning and deep learning problems at production scale.

Geospatial Object Detection with Deep Learning

Deep learning is used to detect objects within an image — a complex vision task. Cray analytics and arti cial intelligence (AI) solutions provide the computational performance required for the latest deep learning algorithms and approaches.

Artificial Intelligence by Cray and Stradigi AI

No matter where you are in your AI implementation, Cray and Stradigi AI have a package that fits

The Cryo-EM Researcher’s Guide to Breaking Data Bottlenecks

Research labs spend sometimes up to $10 million for an electron microscope that generates, on average, up to 2Tb of data every day. Without the infrastructure in place to transfer, process, store and analyze that data – to create those 3D models – it simply languishes.

Meet the Challenges of Implementing Cryo-EM Technology

The resources needed to take a drug treatment from concept to reality are extraordinary. And if a treatment is not going to work, the researchers need to know. Now.

See All Resources