HPE releases a deep learning cookbook to simplify AI adoption

Hewlett Packard Enterprise​ (HPE) is aiming to simplify the adoption of artificial intelligence (AI) with a new set of platforms.

Specifically, the company will intially focus on deep learning, a key subset of AI.

Inspired by the human brain, deep learning is typically implemented for challenging tasks such as image and facial recognition, image classification and voice recognition.

"Artificial intelligence has the ability to transform scientific data analysis, making predictions and surprising connections," explains Paul Padley, professor of physics and astronomy, Rice University.

"We are at a precipice where the AI revolution can now have a profound impact on reshaping innovation, science, education and society, at large.

HPE wants to make is easier for companies to implement and take advantage of deep learning – a process that includes a number of requirements from expertise and resources to tailored hardware and software.

To really utilise deep learning, HPE says that companies need a high performance compute infrastructure to build and train learning models that can manage the large amounts of data to reconise patterns in audio, images, videos, text and sensor data.

Aiming to help enterprises get started, HPE has introduced a number of offerings, including the HPE Deep Learning Cookbook, Enhanced HPE Centres of Excellence (CoE) and HPE's Rapid Software Development for AI.

Here's how they work.

The AI research team at Hewlett Packard Labs are behind this deep learning cookbook, a guide for customers wanting to select the best hardware and software for different deep learning tasks.

The Deep Learning Cookbook can also be used to validate the performance and tune the configuration of already purchased hardware and software stacks.

Designed to assist IT departments and data scientists who are looking to accelerate their deep learning applications, the HPE CoE gives customers access to a range of technology and expertise including the latest NVIDIA GPUs on HPE systems.

The current CoE are spread across five locations including Houston; Palo Alto; Tokyo; Bangalore, India; and Grenoble, France.

This integrated hardware and software solution is purpose-built for high performance computing and deep learning applications.

Based on the HPE Apollo 6500 system in collaboration with Bright Computing, this solution includes pre-configured deep learning software frameworks, libraries, automated software updates and cluster management and supports NVIDIA Tesla V100 GPUs.

"We live in a world today where we're generating copious amounts of data, and deep learning can help unleash intelligence from this data," comments Pankaj Goyal, vice president, Artificial Intelligence Business, Hewlett Packard Enterprise.

"However, a 'one size fits all' solution doesn't work. Each enterprise has unique needs that require a distinct approach to get started, scale and optimise 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."