HPE Taps VAST Data For Fast File Storage on GreenLake

April 4, 2023

HPE today rolled out its first file storage offering for GreenLake, its everything-as-a-service offering. The new HPE GreenLake for File Storage offering pairs Read more…

Royalty-free stock illustration ID: 1988202119

Object and File Storage Have Merged, But Product Differences Remain, Gartner Says

November 1, 2022

Companies that were looking to store tens of petabytes of unstructured data previously had two main flavors of storage they could turn to: object storage and di Read more…

Panasas Debuts New Products as It Emphasizes Storage Software in Business Shift

May 4, 2022

Panasas started off specializing in storage hardware, but more than 20 years on, the company is placing a big bet on its software stack to meet storage needs for high-performance applications. The company on Wednesday introduced new storage products called ActiveStor Ultra XL and ActiveStor Flash for high-performance computing and artificial intelligence applications. The products are built on the company’s PanFS file... Read more…

SC22

December 8, 2021

Being part of the SC Conference enhances your career – whether you are presenting new research, showcasing innovative work or practices, helping teach the nex Read more…

Micron Launches PCIe4 SSDs for the Datacenter

October 6, 2021

Micron today introduced its 7400 series solid state drives (SSDs), a new family of fourth-generation PCIe-based NVMe devices that should give datacenter operato Read more…

Pengchen Lab’s MadFS and Intel’s DAOS Shine in Latest IO500

July 7, 2021

An increasingly watched benchmark is the IO500 which measures storage system performance with an updated IO500 list released twice a year in concert with ISC an Read more…

DDN Announces EXAScaler 6, Insight 4.0, and Expanded Channel Services

July 1, 2021

Storage supplier DDN today made several announcements across its product line. Foremost was introduction of EXAScaler 6, the latest version of its Lustre-based Read more…

Excelero Brings Its NVMesh Storage to Azure Public Cloud

April 28, 2021

Software-defined storage vendor Excelero has been helping customers share NVMe storage across networks both on-premises or in private clouds for years, but now, Read more…

  • arrow
  • Click Here for More Headlines
  • arrow

Whitepaper

Powering Up Automotive Simulation: Why Migrating to the Cloud is a Game Changer

The increasing complexity of electric vehicles result in large and complex computational models for simulations that demand enormous compute resources. On-premises high-performance computing (HPC) clusters and computer-aided engineering (CAE) tools are commonly used but some limitations occur when the models are too big or when multiple iterations need to be done in a very short term, leading to a lack of available compute resources. In this hybrid approach, cloud computing offers a flexible and cost-effective alternative, allowing engineers to utilize the latest hardware and software on-demand. Ansys Gateway powered by AWS, a cloud-based simulation software platform, drives efficiencies in automotive engineering simulations. Complete Ansys simulation and CAE/CAD developments can be managed in the cloud with access to AWS’s latest hardware instances, providing significant runtime acceleration.

Two recent studies show how Ansys Gateway powered by AWS can balance run times and costs, making it a compelling solution for automotive development.

Download Now

Sponsored by ANSYS

Whitepaper

How to Save 80% with TotalCAE Managed On-prem Clusters and Cloud

Five Recommendations to Optimize Data Pipelines

When building AI systems at scale, managing the flow of data can make or break a business. The various stages of the AI data pipeline pose unique challenges that can disrupt or misdirect the flow of data, ultimately impacting the effectiveness of AI storage and systems.

With so many applications and diverse requirements for data types, management systems, workloads, and compliance regulations, these challenges are only amplified. Without a clear, continuous flow of data throughout the AI data lifecycle, AI models can perform poorly or even dangerously.

To ensure your AI systems are optimized, follow these five essential steps to eliminate bottlenecks and maximize efficiency.

Download Now

Sponsored by TotalCAE

Advanced Scale Career Development & Workforce Enhancement Center

Featured Advanced Scale Jobs:

SUBSCRIBE for monthly job listings and articles on HPC careers.

HPCwire Resource Library

HPCwire Product Showcase

Subscribe to the Monthly
Technology Product Showcase:

HPCwire