Why is HPC important?

HPC enables the simulation and analysis of massive volumes of data that would otherwise be impossible with standard computers. This, in turn, leads to major advancements in fields such as scientific research, where the use of HPC has led to breakthroughs in everything from cancer treatments to COVID-19 vaccines.

HPC is used in a wide range of industries. In the future, almost all industries will likely turn to HPC to tackle large volumes of data. The adoption of HPC has been particularly robust in industries that need to quickly analyze large data sets, including: Scientific research, such as astronomy, genome sequencing, computational chemistry, seismic imaging, weather forecasting, and molecular dynamics Machine learning Cybersecurity Animation Visual effects Financial services and financial risk modeling Market data analysis Product development Greenfield design Autonomous driving

High Performance Computing

Accelerate and Scale
High Performance Computing

Meet your demanding HPC workloads head-on.

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High Performance Computing

Overview

Benefits

Customer Stories

Partnerships

FAQ

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High Performance Computing

Overview

Benefits

Customer Stories

Partnerships

FAQ

Resources

Master Demanding HPC Workloads

Speed, scalability, simplicity, and sustainability: Get a modern data platform with the high bandwidth and low latency required to address all your HPC applications efficiently.

Speed

Accelerate HPC applications with 2.5x more IOPs powered by highly parallel, multi-dimensional performance and a storage platform enabled by high-bandwidth DirectFlash®.

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Scalability

Improve your throughput up to six times for disparate HPC workloads with varied IOPs, high bandwidth, and low latency requirements that scale seamlessly.

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Simplicity

Streamline HPC workflows with a distributed file system that's not only faster than parallel file systems, but simpler to manage and offers a better approach to scalable HPC storage.

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“FlashBlade® is ideal for the most critical genomic workloads. The time to results has dropped dramatically. A slide scan analysis that took between seven and 14 days now completes in as little as one hour.”

Dr. Andrew G. McArthur

PH.D., McMaster University

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“The Office of Advanced Molecular Detection (OAMD) relies on powerful technologies like AI and machine learning to fuel increasingly complex research, and as the COVID-19 pandemic proved, the stakes could not be higher. Together, we built a storage environment that could support bioinformatics analysis and Nextflow-based workflow management while ensuring ease of use, simplicity, and availability.”

Vernard Martin

Senior Solutions Architect at Leidos

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Data Mobility Extends On-prem HPC Workloads to Azure Cloud

Protect your IP, mitigate security risks, and get the benefits of seamless data mobility to a connected cloud.

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Connected cloud storage with Microsoft Azure enables performance, flexibility, and bursting for HPC workloads.

Provide fast, high-performance storage and retrieval of binaries for Devops.

Accelerate Perforce Helix Core database recovery.

1. How does HPC work?

A single high-performance computer is made up of a group of computers called a cluster, and each computer in a cluster is called a node. Each node has an operating system consisting of a processor with multiple cores, storage, and networking capabilities that allow the nodes to communicate with each other. A small cluster, for example, can have 16 nodes with 64 cores, or four cores per processor, which, combined with networking capabilities, enables the high-performance computer to compute things much faster than a normal computer.

2. Where is HPC used?

HPC is used in a wide range of industries. In the future, almost all industries will likely turn to HPC to tackle large volumes of data. The adoption of HPC has been particularly robust in industries that need to quickly analyze large data sets, including:

Scientific research, such as astronomy, genome sequencing, computational chemistry, seismic imaging, weather forecasting, and molecular dynamics
Machine learning
Cybersecurity
Animation
Visual effects
Financial services and financial risk modeling
Market data analysis
Product development
Greenfield design
Autonomous driving