HPE Introduces New Set of AI Platforms and Services
Hewlett Packard Enterprise announced new purpose-built platforms and services capabilities to help companies simplify the adoption of Artificial Intelligence, with an initial focus on a key subset of AI known as deep learning.
Many organizations lack several integral requirements to implement deep learning, including expertise and resources; sophisticated and tailored hardware and software infrastructure; and the integration capabilities required to assimilate different pieces of hardware and software to scale AI systems.
To help customers overcome these challenges and realize the potential of AI, HPE announced new offerings. HPE Rapid Software Installation for AI is an integrated hardware and software solution, purpose-built for high performance computing and deep learning applications.
HPE Deep Learning Cookbook is a set of tools to guide customers in selecting the best hardware and software environment for different deep learning tasks. These tools help enterprises estimate performance of various hardware platforms, characterize the most popular deep learning frameworks, and select the ideal hardware and software stacks to fit their individual needs.
HPE AI Innovation Center is designed for longer term research projectsand will serve as a platform for research collaboration between universities, enterprises on the cutting edge of AI research and HPE researchers. The centers, located in Houston, Palo Alto, and Grenoble, will give researchers for academia and enterprises access to infrastructure and tools to continue research initiatives.
Enhanced HPE Centers of Excellence (CoE) are designed to assist IT departments and data scientists who are looking to accelerate their deep learning applications and realize better ROI from their deep learning deployments in the near term, the HPE CoE offer select customers access to the latest 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, and Grenoble.