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What is HPE Pointnext?

The intersection of high-performance computing (HPC) and machine learning is imposing extraordinary demands on storage technologies, given the significantly varying input/output requirements of these two different workloads. This transformation is currently underway, with a recent study by the independent firm Intersect360 indicating that an impressive 63% of HPC users are now incorporating machine learning applications into their systems. Additionally, Hyperion Research anticipates that, if current trends persist, spending on HPC storage by public sector organizations and businesses will grow at a pace 57% quicker than investments in HPC computing over the next three years. In light of these changes, Seymour Cray famously remarked, "Anyone can build a fast CPU; the trick is to build a fast system." In the context of HPC and artificial intelligence, while it may appear simple to create rapid file storage solutions, the real challenge is in designing a storage system that is not only swift but also cost-effective and capable of scaling efficiently. We achieve this by incorporating leading parallel file systems into HPE's parallel storage solutions, ensuring that our approach prioritizes cost efficiency. This methodology not only addresses the immediate needs of users but also strategically positions us for future advancements in the field, allowing us to remain agile in a rapidly evolving technological landscape.

What is AWS HPC?

AWS's High Performance Computing (HPC) solutions empower users to execute large-scale simulations and deep learning projects in a cloud setting, providing virtually limitless computational resources, cutting-edge file storage options, and rapid networking functionalities. By offering a rich array of cloud-based tools, including features tailored for machine learning and data analysis, this service propels innovation and accelerates the development and evaluation of new products. The effectiveness of operations is greatly enhanced by the provision of on-demand computing resources, enabling users to focus on tackling complex problems without the constraints imposed by traditional infrastructure. Notable offerings within the AWS HPC suite include the Elastic Fabric Adapter (EFA) which ensures optimized networking with low latency and high bandwidth, AWS Batch for seamless job management and scaling, AWS ParallelCluster for straightforward cluster deployment, and Amazon FSx that provides reliable file storage solutions. Together, these services establish a dynamic and scalable architecture capable of addressing a diverse range of HPC requirements, ensuring users can quickly pivot in response to evolving project demands. This adaptability is essential in an environment characterized by rapid technological progress and intense competitive dynamics, allowing organizations to remain agile and responsive.

Media

Media

Integrations Supported

AWS Batch
AWS Elastic Fabric Adapter (EFA)
AWS Marketplace
AWS Nitro System
AWS Parallel Computing Service
AWS ParallelCluster
Amazon DCV
Amazon EC2
Amazon FSx
Amazon FSx for Lustre
Amazon Web Services (AWS)
Automai Robotic Process Automation
Check Point IPS
Check Point Infinity
SQLXPress
XYGATE Identity Connector
XYGATE SecurityOne

Integrations Supported

AWS Batch
AWS Elastic Fabric Adapter (EFA)
AWS Marketplace
AWS Nitro System
AWS Parallel Computing Service
AWS ParallelCluster
Amazon DCV
Amazon EC2
Amazon FSx
Amazon FSx for Lustre
Amazon Web Services (AWS)
Automai Robotic Process Automation
Check Point IPS
Check Point Infinity
SQLXPress
XYGATE Identity Connector
XYGATE SecurityOne

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Hewlett Packard

Date Founded

2015

Company Location

United States

Company Website

www.hpe.com/us/en/solutions/hpc-high-performance-computing/storage.html

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/hpc/

Categories and Features

Categories and Features

HPC

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