HPE GreenLake for File Accelerates Enterprise AI Adoption, Giving Public Cloud a Run for Its Money

To stay ahead in the rapidly evolving field of artificial intelligence (AI), businesses must ensure their infrastructure is primed to handle the demands of AI processes. This involves having AI-ready file storage solutions capable of powering and accelerating AI initiatives at scale, enabling quicker conversion of data into actionable insights. Such storage solutions are vital across all AI stages—from data aggregation and pipelining to model training, tuning, and inference. For the most demanding AI applications, including generative AI (GenAI) and large language models (LLMs), organizations require storage that delivers consistently high performance across the entirety of their data spectrum. Plus, HPE recently significantly expanded its capabilities with new high-density, all-flash options specifically designed to power large-scale enterprise AI and DataLake workloads.  

Revolutionizing Data Management for AI 

HPE's GreenLake for File Storage is built on the next-generation HPE Alletra Storage MP disaggregated platform coupled with the HPE GreenLake for File Storage operating system. This solution leverages the VAST Data software suite with unique disaggregated shared-everything (DASE) architecture to deliver a scale-out NAS solution. HPE GreenLake for File is revolutionizing the approach to managing and leveraging data in the age of AI, offering a comprehensive solution that spans the full scale of data and all stages of AI. The solution not only enhances data mobility and provides cost flexibility, but it also ensures availability and top-tier security through a zero-trust framework. Its recent advancements include high-density, all-flash options tailored for enterprise AI and DataLake workloads, positioning it as a formidable competitor to traditional public cloud services in terms of scalability, efficiency, and performance. 

Advancements in AI-ready Storage 

Key upgrades to GreenLake for File Storage signify a leap in AI and data lake scalability, previously dominated by public cloud offerings. These enhancements include:

• A significant boost in capacity, offering four times the storage and up to twice the system performance per rack unit compared to its predecessors.
• Doubling throughput capabilities at AI scale, while cutting power consumption by as much as 50%.
• Accelerating workloads and reducing operational costs and data center footprint, courtesy of a new controller that doubles processing power and storage units that boast a 1-RU 1.3560PB all-NVMe JBOF.
• A 7x increase in capacity density over the previous year's model, surpassing top competitors by up to 2.3x in capacity density.
• Operational needs addressed 

These performance enhancements solidify HPE GreenLake for File's position in delivering unparalleled value in the AI market, going beyond scalability to address critical operational needs, including:

• Data Mobility and Availability: GreenLake for File allows seamless data movement without incurring egress fees, ensuring data is always active without extra costs. It boasts an availability rate significantly higher than public clouds, offering 99.9999% uptime.
• Security: With a zero-trust security model, HPE leverages AI to monitor and authenticate access, providing a level of security and flexibility not available in public cloud environments. This approach has proven effective in preventing unauthorized access, even in the face of sophisticated cyberattacks.
• Technology Utilization: HPE's design leverages the latest NVMe drive capabilities, ensuring ultra-low latency and high-speed data access, unlike many cloud services that use outdated systems.
• Customizability and Data Access: Users can tailor their infrastructure to specific needs or utilize HPE's architectures, ensuring access to all forms of data through the Ezmeral Data Fabric. This encompasses unused, dark, or edge data, without the need for physical relocation, offering a seamless global namespace.
• Innovative Architecture: The new storage model introduces a more resilient, modular design with faster caching capabilities, allowing separate movement of data and applications, and built on the secure foundation of HPE ProLiant servers.
• Edge Solutions: HPE GreenLake surpasses cloud service providers with advanced edge solutions, addressing data gravity by keeping data close to its creation point and compliant with local regulations, while still offering cloud-like economic benefits.

By choosing HPE GreenLake for File, organizations gain the flexibility, security, and performance necessary for today's demanding AI and data-intensive workloads, with the added advantage of a simplified, unified management experience. This comprehensive approach ensures that companies can leverage the true value of their technology investments, making HPE GreenLake for File an optimal choice for navigating the complexities of modern data management and AI implementation. 

As we navigate the complexities of AI and data management, the choice of infrastructure can significantly influence the success of your AI initiatives. HPE GreenLake for File represents a pinnacle of flexibility, security, and performance, designed to meet the demands of modern AI applications and data lakes. 

Now, you have the unique opportunity to experience the transformative power of HPE GreenLake for File firsthand. WWT invites you to explore its capabilities at the WWT Advanced Technology Center (ATC), a laboratory where innovation meets practical application. By engaging with the ATC, you can witness the seamless integration, performance, and comprehensive security features of GreenLake in a real-world environment that simulates your own. 

About the Authors 

Hyung Kim  Technical Solutions Architect, World Wide Technology 

Joe Vidall HPE GreenLake Chief Technologist, Office of the NA CTO (at Hewlett Packard Enterprise)