Hewlett Packard Enterprise introduced its next series of AI-native and hybrid cloud offerings for machine learning development, data analytics, AI-optimized file storage, AI tuning and inferencing and professional services.
The solutions are based on an open, full-stack AI-native architecture and leverage HPE’s expertise in hybrid cloud, supercomputing and AI/ML software.
“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.
Key elements of the announcement
- 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
