Hewlett Packard Enterprise is launching a suite of platforms and services aimed at accelerating development and adoption of AI, with an initial focus on deep learning.
HPE joins a growing list of enterprise vendors delivering new tools, some of them as open source software, to speed AI development. For instance, cloud rivals Amazon Web Services and Microsoft announced an open source project earlier this month called “Gluon” that includes a deep learning library for building models used in neural networks.
HPE said Wednesday its AI platform and services include integrated hardware and software that can be used for deep learning applications. The platform incorporates HPE’s Apollo 6500 system with partner Bright Computing’s platform to speed deep learning application development.
The platform includes AI software frameworks, libraries and automation tools along with cluster management. The suite supports Nvidia’s Tesla V100 GPUs that are increasingly being used to support AI development.
HPE is betting this these and other tools, including a deep learning “cookbook,” will require a high performance compute infrastructure to build and train learning models. Those models can be used, for example, to manage large data volumes to spot patterns in audio, images, videos, text and Internet of Things sensor data.
“Cognitive computing that’s powered by deep learning techniques is driving major scientific, technological, and economic advancements all over the world,” Pankaj Goyal, vice president of HPE AI unit, noted in a blog post. “We can make deep learning a universally accessible tool. That starts with demystifying the processes and tools,” which is among the goals of HPE’s deep learning “cookbook.”
The company’s AI development initiative also includes reference designs that provide infrastructure configurations for applications such as training image classification models. The company also said it is launching an AI innovation centers in Houston, Palo Alto, Calif., and Grenoble, France, along with centers of excellence geared specifically to data scientists and IT department seeking to accelerate deep learning development.