Deep Learning Solutions

Accelerating real-time insights and intelligence for deep learning with innovations in system design, partner ecosystem, and HPE Pointnext services. 

Download Deep Learning and AI Guide

Infrastructure for neural networks

Deep learning, a subset of artificial intelligence (AI), is about enabling computers to learn new concepts from raw data — much like the human mind. A deep learning system, for example, can spot the difference between a flower and a tree after viewing thousands of images of each. Deep learning requires extreme compute, I/O, and networks as well as exponential scaling. Traditional IT infrastructure is inadequate. To succeed with deep learning, users need optimal platforms and expertise.

The need for efficiency in deep learning

Deep learning has to be efficient to accomplish its business goals: Not only keeping operating costs down across the platform but also ensuring that users can quickly begin to apply deep learning applications. Hardware resources need to be sufficient to synthesize large volumes of data to drive insightful actions.

80%

Proportion of recent advances in AI attributed to the availability of more computer power1 .

$36B

Projected artificial intelligence revenue worldwide by 20252 .

16,000

Cores used by Google’s image recognition Deep Learning project3 .

A purpose-built deep learning portfolio 

HPE offers a comprehensive set of innovations to accelerate deep learning across all organizations. These innovations span systems design, partner ecosystem collaboration, and expertise including flexible consumption models from HPE Pointnext services. They complement the existing HPE Apollo portfolio and strengthen overall HPE capabilities from the Core Datacenter to the Intelligent Edge.

Performance from the most powerful GPUs

HPE deep learning solutions include the most powerful GPUs in a high GPU-to-CPU configuration, with high I/O bandwidth per node.

Scalability up to petaflop environment

Our new deep learning systems scale up to thousands of nodes, offering a range of environment sizes and flexible cost/performance characteristics.

Energy efficiency and productivity

We design for power efficiency and productivity, capping power at rack and node levels and offering fast time to solutions with powerful system tools.

Investing in GPUs for petaflop scale

We have invested in deep learning platforms ranging from entry-level GPU PCIe-enabled servers to platforms with the latest SXM2 NVLink GPUs.

Scale with unlimited infrastructure capacity

Add capacity in minutes, not months. Avoid long procurement cycles and save the costs of overprovisioning by managing capacity jointly with your account team.

Pay only for what you use

Align costs with usage monthly via advanced metering, with no upfront payment requirements. This approach fits analyst predictions that by 2020, 80% of IT infrastructure hardware and software purchases will be provided on a  pay-as-you-go basis.

Combine hardware, software, and services costs

Pay a single price for hardware, software, and services. This applies to servers, software-defined and traditional storage, networks, converged, and software as well as HPE and multi-vendor support.

“Through our partnership with SGI, and now HPE, the Tokyo Institute of Technology has worked successfully to deliver a converged world-leading HPC and deep learning platform that can address our requirements and those of our nation. The NVIDIA Tesla P100 SXM2 node solution enables GPU based deep learning capability to be scalable to the entire size of our TSUBAME 3.0 system.”

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Satoshi Matsuoka
Professor and TSUBAME Leader, Tokyo Institute of Technology

Real-time insights for customers

“HPE's enhanced collaboration with NVIDIA for deep learning…aims to use automated intelligence to enable real-time insights for customers.”

Steve Conway, Hyperion Research

HPE partner ecosystem for deep learning

We have developed an ecosystem to build out innovative solutions and offerings that address our customers’ deep learning needs.

Solutions development 

Our solutions enable you to solve business problems with deep learning, e.g. the HPE Fraud Detection Solution with Kinetica.

Technology innovation

We provide roadmap Integration for next-gen systems, engineering collaboration for new products, and testing for interoperability.

Technology adoption offerings

Our Centers of Excellence help you plan and deploy deep learning solutions and modernize your code.

HPE deep learning services

Advance your deep learning with HPE Pointnext

Advance your deep learning with HPE Pointnext

Leverage our newly enhanced Pointnext advisory, professional, and operational support services offering for deep learning — including a new HPE Flexible Capacity offering for deep learning.

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Create a blueprint of your future state

Create a blueprint of your future state

Map out your your future state environment, allowing for innovation and growth with our advisory, design, implementation, and integration services.

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Flawlessly implement deep learning Solutions

Flawlessly implement deep learning Solutions

Be on-time, on-budget, and generally flawless with your deep learning implementation with our Professional and Operational Services. Take advantage of creative configurations to get the most out of your deep learning software and hardware.

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Flexibly consume deep learning infrastructure

Flexibly consume deep learning infrastructure

Consume your deep learning infrastructure using a flexible, on-demand consumption model. Get scalable capacity as needed, paying only for what you use, including servers, storage, networks, software, and services.

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Get early access

Join us for the HPE Early Access program for 8-way SXM2 GPU Volta. This includes configuration, benchmarking, and technology selection guidance.

Resources

Best Practices Guide : Managing Data at Petabyte Scale with Object Storage

Learn How to Manage Petabyte Scale Data with Object Storage
Best Practices Guide | PDF | 5.98 MB

Learn how to manage object storage solutions with new breakthrough capabilities that are simple, cost effective, scalable, and can be rapidly deployed.

Best Practices Guide : Speed Innovation with ANSYS and high-performance computing

PUB-Ready_PUB-9129_DeepLearning_resourceLandscape-2_2x.md
Best Practices Guide | PDF | 4.57 MB

For engineering teams that demand CAE simulation turnaround in hours – not days or weeks – high-performance computing and ANSYS software can accelerate your breakthrough product design. Learn how to reduce design cycle time by 40 percent* when supporting multiple, concurrent complex simulations for prototyping. Register for a high-performance computing best practices guide for CAE. Explore how HPE Apollo 2000 systems offer higher density and scalability than competitors, with independent serviceability of networking modules enabling greater engineer productivity and competitive advantage for your business. Learn how data center solutions like high-performance computing together with ANSYS software can speed computer-aided simulation and time-to-market while lowering TCO.

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