HPE GreenLake AI/ML Introduction
HPE GreenLake for Large Language Models is an on-demand, multi-tenant cloud service that enables enterprises to privately train, tune, and deploy large-scale AI models using sustainable supercomputing infrastructure powered by nearly 100% renewable energy.
View MoreWhat is HPE GreenLake AI/ML
HPE GreenLake for Large Language Models (LLMs) is HPE's entry into the AI cloud market, offering supercomputing-as-a-service for enterprises of all sizes. The platform combines HPE's market-leading supercomputers and AI software stack to deliver a complete solution for training and deploying large language models. It is designed to make supercomputing power accessible through a cloud-native experience, allowing organizations to leverage advanced AI capabilities without having to build and maintain their own infrastructure.
How does HPE GreenLake AI/ML work?
The service runs on HPE Cray XD supercomputers initially hosted in QScale's Quebec colocation facility, powered by 99.5% renewable energy sources. It provides a comprehensive AI software stack including the HPE Machine Learning Development Environment for rapid model training and HPE Machine Learning Data Management Software for data integration and model tracking. The platform operates through a unified control plane that delivers a consistent cloud operating experience across all services and workloads. Organizations can access supercomputing resources on-demand through a multi-tenant architecture, enabling them to train, tune and deploy AI models while maintaining data privacy and control. The service is designed to handle petabyte-scale workloads and supports automated data pipelines to accelerate ML model production.
Benefits of HPE GreenLake AI/ML
Key benefits include immediate access to supercomputing power without the need to build on-premise infrastructure, the ability to privately train and deploy AI models while maintaining data control, and sustainable computing through renewable energy usage. The platform offers the agility and ease of use of cloud-native services while providing the computational power needed for large-scale AI workloads. Organizations can accelerate their AI initiatives while reducing costs and complexity, with the flexibility to scale resources as needed. Additionally, the service provides enterprise-grade security, reproducible AI capabilities, and support for various industry-specific applications including climate modeling, healthcare, financial services, manufacturing, and transportation.
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