Enterprise blockchain solutions
Design, deliver and run enterprise blockchain workloads quickly and easily.
Products and services
Servers and systems Software Data storage Networking HPE Pointnext Deep Learning Solutions
Accelerating real-time insights and intelligence for deep learning with innovations in system design, partner ecosystem, and HPE Pointnext services.
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.
Enterprise platform for accelerated AI computing
The iterative process of training an AI model requires high levels of compute performance. For faster time-to-value, it may be necessary to leverage massively parallel, high-performance accelerators (GPUs). With support for eight high-performance GPUs, the HPE Apollo 6500 Gen10 System reduces AI training time by delivering dramatic increases in application performance.
75%
of developer teams will include AI functionality in one or more applications by 2018.1
40%
of all digital transformation initiatives will be enabled by AI by 2019.1
100%
of all effective IoT efforts will be supported by AI capabilities by 2019.1
A purpose-built deep learning portfolio
HPE offers a comprehensive set of innovations to accelerate deep learning across all organisations. 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 Datacentre 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.
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 Centres of Excellence help you plan and deploy deep learning solutions and modernise your code.
A portfolio of deep learning Solutions
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HPE Apollo 6500
HPE Apollo 6500 Gen10 System is a reliable enterprise deep learning platform with industry leading accelerators, delivering exceptional performance for faster intelligence.
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HPE SGI 8600
A liquid cooled, tray-based, scalable, high-density clustered computer system designed to deliver the utmost in performance, density, scale, and efficiency in an easy-to-manage, production-ready platform.
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HPE Apollo sx40
A 1U rackmount dual socket Intel Xeon Server with support for four NVIDIA Tesla SXM2 GPUs with NVLink. This configuration allows for up to 14,336 NVIDIA CUDA cores and 42.4 Tflops single precision floating point performance.
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HPE Apollo pc40
A cost effective 1U dual socket Intel Xeon server that’s optimal for AI/DL/ML workloads or a mixed-load HPC environment. With support for up to 4 PCIe GPU cards, Apollo pc40 provides up to 48 Tflops of single precision performance per server.
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HPE Edgeline EL4000
A solution for deep learning at the “Intelligent Edge” which performs real-time analysis of live data sets without having to engage the core datacentre.
HPE deep learning services
Strategic AI planning with your key decision-makers
Strategic AI planning with your key decision-makers
View Now Gain clarity on AI concepts during this one-day HPE Artificial Intelligence Transformation Workshop. Identify the use cases that are a priority for your business and create a high-level plan that defines your steps forward.
Advance your deep learning with HPE Pointnext
Advance your deep learning with HPE Pointnext
View Now Leverage our AI, Data and Analytics CoE expertise and newly enhanced HPE Pointnext advisory and professional services for planning, design and implementation.
Get the service experience you expect
Get the service experience you expect
View Now Achieve your desired outcomes by aligning your priorities with the service experience you expect – by preventing and resolving problems and providing advice with HPE operational services.
On-premise consumption-based models
On-premise consumption-based models
View Now Pay only for what you use. Whether it’s infrastructure, real-time analytics, big data, back up or protecting apps and data – business leaders now widely prefer to consume the outcomes they want.
Get early access
Join us for the HPE Early Access programme 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
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
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 centre solutions like high-performance computing, together with ANSYS software, can speed computer-aided simulation and time-to-market while lowering TCO.
White Paper : Digital transformation trends in IT services
White Paper
Digital transformation trends in IT services
1 McKinsey AI Report, 2017