Hewlett Packard Enterprise (HPE) announced the next series of its AI-native and hybrid cloud offerings for machine learning development, data analytics, AI-optimized file storage, AI tuning and inferencing, and professional services. The announcements were made at HPE Discover Barcelona 2023.
“With the emergence of GenAI, enterprises are quickly realizing that the data and computational demands to effectively run AI models require a fundamentally different approach to technology,” said Antonio Neri, president and CEO, at HPE. “HPE will bring its market-leading hybrid cloud, supercomputing, and AI capabilities more broadly to the enterprise to enable an AI-powered transformation, where customers can develop AI models securely with their proprietary data. Through HPE’s AI-native and hybrid cloud solutions, organizations will be able to fully capitalize on the insights from their data to revolutionize product innovation, customer engagement, and overall realize the full power of GenAI to transform their businesses and industries.”
These solutions bring together HPE’s leadership in hybrid cloud, supercomputing, and AI/ML software to enable organizations to become AI-powered businesses, according to the company.
This is all delivered based on an open, full-stack AI-native architecture that incorporates a curated mix of software and infrastructure designed specifically to accelerate the AI lifecycle.
According to HPE, the new offerings reduce the barriers of IT and deliver full-stack AI-native solutions that enable organizations to effectively train, tune, and inference their AI models, from edge to cloud.
For enterprises to effectively incorporate GenAI, deep learning, computer vision, or classical machine learning models into their business, they will need to extend their cloud-native environment to include an AI-native approach, according to the company.
The HPE GreenLake cloud platform is strategically positioned to deliver this evolution in IT through an industry-leading open, full-stack AI-native architecture that includes the following attributes:
- Data-first pipeline to manage public and proprietary data across multi-gen IT
- AI lifecycle management software to accelerate workflows for training, tuning and inferencing
- Hybrid by design to run AI anywhere from edge to cloud with data protection
- High-performance interconnects for intelligent connectivity and traffic management for large clusters
- Supercomputing DNA built into the entire portfolio, sustainable by design, to train the largest models
- Open ecosystem for freedom of choice with no lock-in
Additionally, HPE announced an expanded strategic collaboration with NVIDIA to build an enterprise computing solution for generative AI (GenAI).
The co-engineered, pre-configured AI tuning and inferencing solution enables enterprises of any size to quickly customize foundation models using private data and deploy production applications anywhere, from edge to cloud.
The offering removes the complexity of developing and deploying GenAI infrastructure with a full-stack AI tuning and inferencing solution from HPE and NVIDIA.
“Generative AI is inspiring enterprises to reinvent their businesses using their own data as the rocket fuel for transformation,” said Manuvir Das, vice president of enterprise computing, NVIDIA. “Our extended collaboration with HPE will help enterprises everywhere harness full-stack, accelerated computing and software from NVIDIA to supercharge the power of generative AI.”
The enterprise computing solution for generative AI will be available in Q1CY24.
The HPE Services for AI, managed services for HPE Machine Learning Development Environment Software and updates to HPE Ezmeral Software are generally available.
For more information about this news, visit www.hpe.com.