HPE Storage solutions for HPC and AI

The confluence of HPC and AI is changing everything. The new era needs new storage solutions to cope with the relentless data deluge in an effective and efficient way.

AI and HPC converged for your storage needs

This confluence put new demands on HPC storage as the input/output patterns of both workloads could not be more different. And it is happening right now. A recent study of the independent analyst firm Intersect360 found out that 66% of the HPC users today already are running machine learning programs. Hyperion Research forecasts that, at current course and speed, HPC storage spending in public sector organizations and enterprises will grow 57% faster than spending for HPC compute for the next three years.

Storage for HPC and AI portfolio

Cray ClusterStor E1000 Storage System

This storage system was optimized for both large-scale modelling and simulation and large AI models running on XD supercomputers or HPE ProLiant compute clusters. The world’s largest POSIX-compliant file system – the Orion file system at Oak Ridge National Laboratory – supporting  a supercomputer with 37,632 GPUs is built on it.

HPE Data Management Framework (DMF)

Optimize HPC and AI data management by enabling a hierarchical, tiered data management architecture. The HPE Data Management Framework optimized storage resource utilization for lower TCO and streamlines data workflows with time proven automated data movement across the full storage hierarchy. Now with support for IBM Spectrum Scale and NFS in addition to Lustre.

HPE GreenLake for Large Language Models

On-demand, multi-tenant cloud service provides enterprises the power to privately train, tune, and deploy large-scale AI models.

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