Artificial Intelligence

Cray Solutions for Machine Learning and Deep Learning

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How do you succeed with artificial intelligence?

Software you can chat with. Cars that drive themselves. Phones that recognize human faces. We're just seeing the beginning of how artificial intelligence will change our lives. But to succeed in AI, you need the right technologies. Whether you're just starting out or looking to expand your AI projects, our high-performance machine learning and deep learning solutions give you the tools to achieve.

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

AI that leverages supercomputing

Machine learning is a form of artificial intelligence that enables systems that learn – using high-performance computing systems accessing big data. While machine learning isn't new, advanced forms like deep learning – leveraging improved algorithms and more powerful compute – enables you to predict and act on that prediction with confidence.

As machine learning use cases grow, so must the IT infrastructures supporting them. We've taken some of the most widely used machine learning tools and platforms and made them available in our portfolio of high-performance computing and storage systems. The same supercomputer systems used to predict the weather, explore the cosmos, and make vehicles safer are ideally suited to power the discovery and automation being made possible by machine learning.

Machine learning platforms & tools

Cray Urika-XC Analytics and AI Suite

HPC workloads are changing. The Cray® Urika®-XC analytics and AI suite brings big data analytics, machine learning, distributed deep learning and large-scale graph processing to the Cray® XC™ series supercomputer.

Cray Urika-CS AI and Analytics Suite

Successful artificial intelligence projects depend on giving your data scientists and engineers access to the right tools at the right time. Our Cray Urika®-CS AI and Analytics suite brings big data analytics, machine learning and distributed deep learning tools to the Cray® CS™ series cluster supercomputer.

Cray Urika-GX Agile Analytics Platform

Machine learning is data heavy and computationally intense. You need a system built for production-grade machine learning workflows. The Cray® Urika®-GX agile analytics platform has the muscle and the data and machine learning tools for the toughest machine learning tasks.

See how customers use our systems for good

Go deep. We'll catch you.

Turning big data into applied AI takes teamwork — and the planet's best technology. Machine and deep learning pioneers turn to us because our systems scale, we have the right expertise and they can trust in the results. Why? Because we're Cray.

From pilot to production with the right infrastructure

Set your own pace. With our Cray® Accel AI™ reference configurations, you can start where you need to, whether that's at the beginning with a small system for AI exploration, a complete AI workflow-focused single-rack system for AI prototype projects, or a complete AI production system for data preparation, model development and model implementation. Based on our Cray® CS™ series cluster supercomputers, ClusterStor™ HPC storage and Urika®-CS AI suite, Cray Accel AI configurations reduce the time required to bring your AI projects to life. They feature technologies from NVIDIA, Intel, Mellanox and others, providing AI infrastructure to address data scientists’ complete workflow needs.

Get started with Cray Accel AI

The future of deep learning

Technology has made deep learning neural networks possible. Now technology must make them practical. At its core, deep learning is a complex high-performance computing problem. Cray has the experience to understand the questions and has built HPC and storage solutions that put deep learning models to use. See why artificial intelligence needs HPC

Cray instructors are certified to deliver NVIDIA’s Deep Learning Institute (DLI) content and lead workshops around the world. NVIDIA DLI provides hands-on training in artificial intelligence and accelerated computing to solve real-world problems. To find out more, fill out the form below

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