Machine Learning

Cray Solutions for Machine Learning and Deep Learning

Contact Us

Artificial intelligence is complex. We know complexity.

Artificial intelligence (AI) and machine learning are technologies that mimic the capabilities of the human brain, which has over 100 trillion neural connections. That’s an enormously complex task.

For over 40 years, Cray has been solving some of the most complex computing problems in science and industry. We’re the natural choice to supply the high-powered computing systems you need to make artificial intelligence, machine learning and deep learning work for you.

We help you envision the potential of artificial intelligence.

Cars that drive themselves. Phones that recognize human faces. Software you can chat with. AI and deep learning have captured the public imagination in consumer-friendly applications like these.

The techniques that make these applications possible have been honed behind the scenes in less visible but no less impressive technologies such as medical imaging, cybersecurity, climate modeling, seismic processing, computational fluid dynamics and quantitative finance.

Cray has built the high-performance computing systems that have driven success in these and other complex applications. We understand the challenges of artificial intelligence in all kinds of uses.

We give you the power to explore.

Cray is a partner that can help you start and realize your first success with AI. It’s a journey, and we’re on it with you.

Big Data Maturity
Analytics allow you to sense and comprehend what is happening; machine learning and deep learning allow you to predict and act on that prediction with confidence. Underpinning both is the presence of big data that is captured, managed and optimized. The Cray® Urika®-GX agile analytics platform is an integrated system designed for complex machine workflows:

  • Starting with start with streaming data collection using tools like Apache Kafka®
  • Advancing to data cleansing, preparation and enrichment using data Apache Spark™
  • Performing machine learning using tools like MLLib
  • Advanced pattern matching and discovery using the Cray Graph Engine

Machine Learning Exploration
Machine learning and deep learning are everywhere, but where do you start? To help you accelerate your progression along an AI journey, we’ve created the Cray Accel AI initiative to help organizations start, learn, experience and succeed with machine and deep learning.

Cray Accel AI Fast Start Offerings
Cray Accel AI fast-start configurations range from a starter system ideal for AI exploration to a complete, production-level Cray cluster supercomputer for training and inference. Components include the Cray CS-Storm accelerated GPU system featuring NVIDIA® Tesla® V100 GPU accelerators powered by the NVIDIA® Volta™ GPU architecture, and a comprehensive deep learning and analytics software environment from Bright Computing.

Cray Accel AI Lab
The Cray Accel AI Lab serves as a focal point for the application, incubation and advancement of supercomputing technologies in AI. With access to Cray systems powered by Intel® Xeon® Scalable processors and NVIDIA Tesla GPU accelerators, as well as AI experts from Cray’s engineering teams, Cray partners and customers can learn and experience the latest advanced optimization techniques for deep learning frameworks.

Bringing HPC Best Practices to AI
Machine learning and, more specifically, deep learning are, at their core, high-performance computing problems — problems that Cray has a 40-plus-year history of solving. It why we bring HPC best practices to AI.

Cray® XC™ Series Supercomputers and the Urika-XC Software Suite
The Cray Urika-XC analytics and AI software suite, which brings graph analytics, deep learning, and robust big data analytics tools to our flagship line of Cray XC supercomputers, now includes the TensorFlow computational framework and enhancements to the Cray software environment that are specifically designed to accelerate machine learning frameworks. The new Cray Programming Environment (CPE) Machine Learning Library delivers unprecedented scaling by leveraging the Aries™ interconnect, and it eliminates many of the mundane administrative tasks required for distributed deep learning. With this enhanced performance, data scientists can train neural networks at scale on a Cray XC supercomputer — leveraging either CPUs or GPUs — to more than 500 nodes.

Contact Us About Machine Learning















By using this site, you agree to Cray's terms of service and privacy policy.

Featured Resources

Webinar: Must-Knows for Your Deep Learning Journey

What are the business and technical considerations on your path to deep learning maturity? With industry expertise and insights gathered from some of the world’s best problem solvers, learn from Cray about the systems, scale and metrics required for your deep learning journey.

Forrester Report: An AI Revolution Started for Courageous Enterprises

Today’s enterprise and consumer applications must now see, understand, talk and learn. Deep learning is revolutionizing the development of intelligent applications with accurate predictive modeling and AI.

Tractica Analyst Paper: Use Cases for Artificial Intelligence in High-Performance Computing

The increasing digitization of society and the mass availability of data mean that, in theory, we can continue to drive the performance of artificial intelligence algorithms and grow it at an exponential rate.

Speed Up Your Machine Learning

GPU-enabled systems accelerate machine learning and deep learning.

See All Resources

Analytics and Machine Learning: Search for "What, When, Where and Why" in Data

Cray® Urika®-GX Platform

Cray Urika-GX platformAs data has become big, analytics and machine learning have become must-have capabilities for individuals and organizations looking to become more data-driven. The Cray Urika-GX platform is a pre-integrated hardware-software platform bringing supercomputer performance to analytics and machine learning.

The Cray Urika-GX platform includes the powerful Cray Aries™ interconnect, large memory hierarchies, supercomputer-class Intel® Xeon® processors, and dedicated networking for data streaming — all specifically designed for high-throughput Apache Spark™ and graph workflows.

Machine and Deep Learning: Predict Outcomes from Big Data

Cray® CS-Storm™ GPU-Accelerated Cluster Supercomputer

Cray CS-Storm systemThe Cray CS-Storm system is built for organizations serious about moving along an AI journey from pilot to production. The CS-Storm cluster supercomputer, available in configurations ranging from a single node with eight NVIDIA® Tesla® Pascal- or Volta-generation GPUs to a high-density rack delivering up to 15 petaflops (PF) of deep learning FLOPS.

A Comprehensive Machine Learning Environment
To make machine learning easy, Cray has partnered with Bright Computing to deliver a comprehensive software environment including machine learning frameworks, libraries and tools such as TensorFlow™, Caffe2, MXNet, Theano and others.

Cray CS-Storm 500GT System
The Cray CS-Storm 500GT configuration scales up to 10 NVIDIA Tesla Volta or Pascal architecture GPUs (V100, P40 or P100) or Nallatech FPGAs by leveraging the power of the latest Intel Xeon Scalable processors and the flexibility and economics of PCI Express.

Cray CS-Storm 500NX System
The Cray CS-Storm 500NX configuration scales up to eight NVIDIA Tesla Volta or Pascal SXM2 GPUs using NVIDIA® NVLink™ to reduce latency and increase bandwidth between GPU-to-GPU communications, enabling larger models and faster results for AI and deep learning neural network training.

 

Cray® XC50™ Supercomputer

Cray XC50 supercomputerFor machine learning and deep neural network training, the Cray XC50 system is the world’s most scalable supercomputer. The XC50 supercomputer features the NVIDIA Tesla Pascal P100 PCIe GPU accelerator and Intel® Xeon® Scalable processors, the Cray Aries™ interconnect and the Cray Programming Environment Machine Learning library, all combined to enable distributed deep learning at unprecedented scale.

 

Urika®-XC Analytics and AI Software Suite

The Cray® Urika®-XC analytics and AI software suite includes a powerful set of big data analytics and AI applications and tools optimized to run on the Cray XC line of supercomputing systems. Bringing the power of the Cray Graph Engine, Apache Spark™ clusters, distributed Dask clusters and deep learning frameworks (TensorFlow™ and BigDL) to the XC series, Urika-XC software provides Cray XC system managers with a powerful set of tools to extend the usefulness of the supercomputer investment to data scientists and researchers. The Urika-XC package leverages strengths of the Cray XC series — including the Cray Aries™ interconnect, Cray Linux Environment and Cray Programming Environment Machine Learning Plugin — bringing unprecedented performance, scalability and ease of use to data scientists and researchers.

News, Briefs & Articles

Forrester Report: An AI Revolution Started for Courageous Enterprises

Today’s enterprise and consumer applications must now see, understand, talk and learn. Deep learning is revolutionizing the development of intelligent applications with accurate predictive modeling and AI.

Tractica Analyst Paper: Use Cases for Artificial Intelligence in High-Performance Computing

The increasing digitization of society and the mass availability of data mean that, in theory, we can continue to drive the performance of artificial intelligence algorithms and grow it at an exponential rate.

Cray Delivers Production-Ready AI With New Cray CS-Storm Accelerated Cluster Supercomputers

Cray announced the launch of two new Cray CS-Storm accelerated cluster supercomputers — the Cray CS-Storm 500GT and the Cray CS-Storm 500NX — purpose-built for the most demanding artificial intelligence (AI) workloads.

Speed Up Your Machine Learning

GPU-enabled systems accelerate machine learning and deep learning.

Cray Systems Power Deep Learning in Supercomputing at Scale

With validated deep learning toolkits and the most scalable supercomputing systems in the industry, Cray customers can run deep learning workloads at their fullest potential.

Accelerating Cancer Research with Deep Learning

A team from Oak Ridge National Laboratory is using the Cray "Titan" supercomputer to automate text extraction from cancer reports.

Machine Learning at Scale for Full Waveform Inversion at PGS

Cray's Geert Wenes blogs about Norwegian seismic exploration company PGS, who's using the Cray "Abel" supercomputer to process one of the largest offshore seismic surveys ever.

ALCF selects projects for new data science program

The Argonne Leadership Computing Facility (ALCF) has selected four projects to kick off the ALCF Data Science Program (ADSP). The new initiative, targeted at big data problems that require the scale and performance of leadership-class supercomputers, will enable new science and novel usage modalities.

Videos & Webinars

Webinar: Must-Knows for Your Deep Learning Journey

What are the business and technical considerations on your path to deep learning maturity? With industry expertise and insights gathered from some of the world’s best problem solvers, learn from Cray about the systems, scale and metrics required for your deep learning journey.

Webinar: AI Readiness: Five Steps to Start Your Deep Learning Engines

Learn why and how companies should prepare to seize the benefits of artificial intelligence. In this webinar, Forrester VP and principal analyst Mike Gualtieri shares machine learning and deep learning examples that businesses are using today.