Deliver high-speed data access for high-performance computing (HPC) scratch workloads with simplified, purpose-built storage.
Forget about complex storage silos. The Everpure platform seamlessly handles all the dynamic, demanding and ever-evolving HPC workloads in one system.
Enjoy unmatched performance with massive IOPS, high throughput, and low latency.
Scale CPU and GPU separately to stop wasting capacity.
Use an Evergreen® subscription to control costs and always stay current with non-disruptive upgrades.
High IOPS and throughput on QLC flash for small and large files with FlashBlade®.
Dynamically scale as your storage needs change with an Evergreen subscription.
Reduce power use by 85% and improve performance per rack unit.
FlashBlade® allows linear performance and capacity scaling, eliminating stranded capacity.
Exceed the demands of next-generation chip design with all-flash, scale-out storage.
Experience storage optimized for the challenges of HPC.
NFS with Everpure FlashBlade and Ethernet delivers high performance and data consistency for HPC workloads.
Learn how FlashBlade//EXA delivers efficient, easy-to-deploy, scale-out storage with the capacity, throughput, and metadata performance that modern AI and HPC demand.
An HPC cluster is a collection of interconnected computers that perform highly complex computational tasks. These clusters work together to provide the processing power needed to analyze and process large data sets, simulate complex systems, and solve complex scientific and engineering problems.
High-performance computing (HPC) storage comprises the low-latency networking with high-speed data access required for HPC projects and often includes the use of a parallel file system. HPC is the use of computers and supercomputers clustered and connected to carry out complex tasks in parallel.
But it’s more than just computational speed that makes HPC so significant. It’s HPC’s ability to analyze massive data sets of exabyte scale that makes it responsible for so many modern breakthroughs.
Yes and no. While AI projects almost always leverage HPC resources, most HPC projects are not strictly AI-related. HPC can support AI, but it’s also broader.
