HPE GreenLake AI/ML
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.
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https://www.hpe.com/us/en/hpe-greenlake-for-large-language-models.html
Product Information
Updated:09/11/2024
What 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.
Key Features of HPE GreenLake AI/ML
HPE GreenLake for Large Language Models is an on-demand, multi-tenant cloud service that provides enterprises with access to supercomputing power and AI software for privately training, tuning, and deploying large-scale AI models. It runs on HPE Cray XD supercomputers powered by nearly 100% renewable energy, featuring an AI-native architecture designed to run single large-scale AI training and simulation workloads at full computing capacity, combined with comprehensive AI software stack and data management tools.
Cloud-Native Supercomputing: Provides instant access to supercomputing power through a cloud service model, allowing organizations to start using the platform within minutes without building on-premise infrastructure
Comprehensive AI Software Stack: Includes HPE Machine Learning Development Environment for model training and HPE Machine Learning Data Management Software for data integration, tracking, and auditing
Sustainable Computing: Operates on supercomputers hosted in QScale's Quebec colocation with 99.5% renewable energy sources and optimized power management
Private and Secure Environment: Enables enterprises to privately train and tune their AI models while maintaining control over their data and deployment
Use Cases of HPE GreenLake AI/ML
Healthcare Analytics: Review medical records and patient data to assist doctors in diagnoses and treatment planning
Climate Modeling: Process and analyze large-scale environmental data for climate prediction and research
Financial Services: Analyze market trends, assess risks, and automate financial decision-making processes
Manufacturing Optimization: Improve production processes and supply chain management through AI-driven insights
Pros
Eliminates need for building and maintaining on-premise supercomputing infrastructure
Provides sustainable computing solution with renewable energy usage
Offers complete AI software stack and development tools
Ensures data privacy and security through private deployment options
Cons
Requires significant investment in cloud services
Limited to single large-scale workload processing at a time
May require expertise to fully utilize the platform's capabilities
How to Use HPE GreenLake AI/ML
Sign up for HPE GreenLake account: Create an HPE MyAccount at auth.hpe.com/hpe/cf/registration to access the HPE GreenLake platform
Access HPE GreenLake platform: Log into common.cloud.hpe.com to access the unified control plane for all HPE GreenLake services
Select AI/ML services: Navigate to the AI/ML section and choose HPE GreenLake for Large Language Models service
Configure compute resources: Select the required supercomputing capacity powered by HPE Cray XD supercomputers with NVIDIA GPUs for your AI workloads
Set up ML environment: Use HPE Machine Learning Development Environment to set up your training environment and configure data pipelines
Prepare training data: Use HPE Machine Learning Data Management Software to integrate, track and manage your training datasets
Train and tune models: Leverage the supercomputing platform to privately train and fine-tune your large language models
Deploy models: Deploy your trained models for inference using the platform's deployment capabilities
Monitor and manage: Use the unified control plane to monitor model performance, manage resources and optimize costs
HPE GreenLake AI/ML FAQs
HPE GreenLake for Large Language Models is an on-demand, multi-tenant cloud service that allows enterprises to privately train, tune, and deploy large-scale AI models using HPE's supercomputing platform and AI software.
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Analytics of HPE GreenLake AI/ML Website
HPE GreenLake AI/ML Traffic & Rankings
6M
Monthly Visits
#9236
Global Rank
#553
Category Rank
Traffic Trends: Jul 2024-Sep 2024
HPE GreenLake AI/ML User Insights
00:05:03
Avg. Visit DTabsNavuration
5.25
Pages Per Visit
41.86%
User Bounce Rate
Top Regions of HPE GreenLake AI/ML
US: 33.28%
IN: 11.79%
JP: 7.19%
AU: 2.6%
CA: 2.52%
Others: 42.62%
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