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 – you need optimal platforms designed with deep expertise.
AI can amplify human capabilities and turn exponentially growing data into insight, action and value – creating your competitive edge. Navigate this fast-changing field and realise the promise of AI, from IoT to cloud to data centre, with a trusted global enterprise partner. Only HPE is delivering on a roadmap to create more powerful, flexible, secure and efficient computing and data architectures, powering AI from edge to cloud to core.
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Regardless of where you are in your AI journey, it’s important to tailor the right solution for your business-specific AI needs. From strategic advising to purpose-built technology, put our AI and deep learning expertise to work for you, unraveling the complexity and creating your ideal, end-to-end AI solution.
If you aren't sure exactly where deep learning fits in the AI puzzle, here are the fundamentals. Deep learning is a kind of machine learning where computers create large artificial neural networks, similar to the human brain. The ability of these networks to think and learn grows as they are trained with learning algorithms and as they process more and more data. Over time, these networks develop many layers of learning – hence the term deep – as well as better performance and more independence.
Although neural nets have existed since the 1950s, only recently have power, processing and storage capabilities developed to the point of being able to support them. Deep learning is a fairly new frontier for enterprise applications, but it holds great promise for smart technology developments in almost every field.
Seeing the potential in AI and implementing an AI solution are two different things. Reach your goals with the right tools for an optimal AI configuration.
Realising faster business outcomes begins with putting the right compute and storage infrastructure into place, whether you’re scaling out or just starting out.
Navigating the partner ecosystem for AI and deep learning can be daunting. Find a trusted partner that collaborates with industry-proven hardware and software partners.
“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
AI and deep learning hold the potential to fuel groundbreaking innovation in nearly every industry – if you have the tools and know-how to implement them. Take advantage of our comprehensive, complementary tools and solutions to untangle the complexity and create your end-to-end AI solution, from the core data centre to the intelligent edge.
HPE Artificial Intelligence Transformation Workshop
Dive into the realm of AI with a highly interactive one-day workshop that provides consulting expertise to help you get started with AI, evolve your strategic data and analytics initiatives, and prioritize your AI use cases.
HPE Deep Learning Cookbook
Characterise your deep learning workloads and get a recommendation for the optimal hardware/software stack for your workloads. Components include a Benchmarking Suite for deep learning, reference designs and the HPE Deep Learning Performance Guide.
AI computing acceleration with HPE Apollo 6500
Speed up the training process for your AI model with massively parallel GPU accelerators. With support for eight high-performance GPUs, the HPE Apollo 6500 Gen10 system slashes AI training time by delivering dramatic increases in application performance.
A Gen 10 enterprise deep learning platform with industry-leading accelerators, delivering exceptional performance for faster intelligence
A high-density, scalable two-unit server that delivers higher performance and workload capacity than standard one-unit servers, at comparable costs
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
A 1U rack-mount dual-socket Intel Xeon server with support for four NVIDIA® Tesla SXM2 GPUs with NVLink, enabling up to 14,336 NVIDIA CUDA cores and 42.4 Tflops of single-precision floating-point performance
A solution for deep learning at the intelligent edge; performs real-time analysis of live data sets, without having to engage the core data centre
The right mix of software from HPE and partners to solve your most difficult AI computing challenges and accelerate your time to discovery
Data management and storage solutions for AI that allow full server performance and storage capacity
Get your key decision makers up-to-speed on foundational AI concepts during our one-day artificial intelligence transformation workshop.
Enlist HPE Pointnext digital transformation services to help you with planning, design and implementation.
Offboard day-to-day IT tasks like preventing and resolving problems, enabling your staff to take care of your business instead.
Lower your costs when you pay only for the services you use to reach the outcomes you want.
Discover new platforms and build new provider relationships, or work within your existing environment and vendor list with our network of trusted partners.
Solutions development
Solve business problems with our solutions for deep learning, like HPE-Kinetica fraud detection.
Technology innovation
Get help with roadmap integration for next-gen systems, engineering collaboration for new products and interoperability testing.
Technology adoption
Plan and deploy deep learning solutions and modernise your code with help from our Centres of Excellence.
Konica Minolta partnered with HPE to use artificial intelligence to transform data analytics into action, improving financial stability and patient care.
Saagie wanted to industrialise the processing of big data and AI on a platform dedicated to data science. Its new system improved one project delivery time from 18 months to two days.
The Pittsburgh Supercomputing Center applied artificial intelligence to big data analytics to answer big questions about cancer genomics and autism.
Move quickly toward the AI and deep learning solution that’s right for you. Get in touch to get your personalised assessment.
Discover how manufacturers are blending computer-aided engineering (CAE) and data-driven AI and deep learning technologies to improve operations and support more products, profitably.
Accelerated computing for deep learning, AI and HPC
Fuelling AI innovation with a new breed of accelerated computing
Learn how NVIDIA and HPE are working together to help the healthcare industry accelerate the adoption of innovation to converge massive datasets into actionable insight.
Learn how GPU-accelerated deep learning is modernising financial services applications for capital market banking, consumer banking and insurance.
Architecture guide for HPE servers and WekaIO Matrix
Deploy complete clusters over bare metal and manage them effectively with a single view for managing the hardware, operating system, high performance computing (HPC) software, deep learning frameworks and machine learning libraries. HPE is partnering with Bright Computing to offer customers Rapid Software Installation for AI, purpose-built integrated hardware and software solution for Data Science, enabling customers to develop their deep learning applications fast.
1 McKinsey AI Report, 2017
