Hewlett Packard Enterprise has revealed a new set of Artificial Intelligence Platforms and Services
This week, Hewlett-Packard Enterprise launched a batch of new platforms, services and facilities aiming to help companies leverage the power of artificial intelligence and drive innovation. Focused on deep learning, these new tools aim to provide a simplified and powerful interface in artificial inteligence.
Deep learning is not a new concept, but recent advances have proven its prowess in fields where AI has traditionally struggled, including image classification, voice recognition, and facial identification.
Modeled on how the human brain works, deep learning requires considerable compute infrastructure, which previously required researchers or companies to invest heavily into advanced computing systems capable of running many training iterations.
Pankaj Goyal, vice president, Artificial Intelligence Business, Hewlett Packard Enterprise believes deep learning can “help unleash intelligence” from the vast amounts of data the planet creates every day. However, he also believes a “one size fits all” approach won’t work.
Each enterprise has unique needs that require a distinct approach to get started, scale and optimize its infrastructure for deep learning. At HPE, we aim to make AI real for our customers no matter where they are in their journeys with our industry-leading infrastructure portfolio, AI expertise, world-class research and ecosystem of partners.
Deep learning involves processing large amounts of data, making it unfeasible for many companies in the past. Furthermore, the need for expert programmers and, in many cases, specialty hardware has discouraged many entities from entering the field. As a response to this unfulfilled demand for deep learning, HPE is offering an array of products and initiatives.
HPE’s Rapid Software Development for AI
Based on HPE’s Apollo 6500 system, this integrated software and hardware solution was developed in conjunction with Bright Computing to speed up deep learning and make it viable for a wider range of companies and other groups. Preconfigured deep learning elements, including libraries, software frameworks, automated software updates, and deep learning-focused cluster management help programmers bring effective tools online at a rapid pace. Nvidia Tesla V100 GPU support is also available.
Steve Conway, senior vice president, Hyperion Research predicts HPE infrastructure and software will “play an important role in driving AI adoption into enterprises and other organizations in the next few years.”
As deep learning-based AI advances, it will transform science, commerce and the quality of our lives by automating tasks that don’t require the most complex human thinking
HPE Deep Learning Cookbook
Designed to help users find the appropriate hardware and software environments for their needs, this cookbook, crafted by the Hewlett Packard Labs AI Research team, lets enterprises estimate overall performance of various deep learning platforms and variations. For enterprises that have already invested in hardware and software, the cookbook can also validate performance while providing tuning capabilities, helping users make the most of their investments. The cookbook also contains use cases, which are tested for performance and help IT and data scientists operate in a cost-effective and resource-efficient manner.
AI Innovation & Excellence
The Innovation Center, design for long-term projects, aims to provide a platform for research collaboration. Through collaborative efforts, educational entities, enterprise users, and HPE’s researchers can collectively work to hone their deep learning and AI tools. With centers in Palo Alto, Houston, and Grenoble, the effort will provide both researchers and educators access to powerful infrastructure and tools to advance the field and reap financial benefits.
Paul Padley, professor of physics and astronomy at Rice University believes the Innovation Centers will help his institution in “making academic progress by using the tools and solutions available to us through HPE.”
We are at a precipice where the AI revolution can now have a profound impact on reshaping innovation, science, education and society, at large. Access to the HPE AI innovation centers will help us continue to advance our research efforts.
In addition and only offered to select customers, these Centers of Excellence will provide resources to data scientists and IT departments aiming to advance their deep learning programs and develop a better return on their investments. Access to the latest technology and HPE’s expertise, including access to Nvidia GPUs and HPE systems, will help these customers prepare for the future and develop cutting-edge applications. At present, HPE has five Centers of Excellence in Palo Alto, Houston, Tokyo, Grenoble, and Bangalore.
