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Nvidia Launches AI Enterprise Suite for VMware vSphere
Nvidia and VMware are bringing together the new Nvidia AI Enterprise software tool suite with VMware’s latest vSphere 7 Update 2 virtualization platform to make it easier for enterprises to vir …
IBM Continues Mainstreaming Power Systems and Integrating Red Hat in Pivot to Cloud
As IBM continues its massive pivot to the cloud, its Power-microprocessor-based products are being mainstreamed and realigned with the corporate-wide strategy. HPC, while not out, is being de-emp …
Using AI to Solve One of the Most Prevailing Problems in CFD
October 17, 2019
How can artificial intelligence (AI) and high-performance computing (HPC) solve mesh generation, one of the most commonly referenced problems in computational engineering? A new study has set out to answer this question and create an industry-first AI-mesh application... Read more…
DARPA Looks to Unclog Networks
October 1, 2019
DARPA will seek to unclog the networking bottlenecks that are hindering wider use of powerful hardware in computing-intensive applications. The Pentagon research agency has unveiled another in a series of post-Moore’s Law computing initiatives... Read more…
SC19 Preview: 12 Invited Talks Over Three Days
September 3, 2019
The SC19 Invited Talks will be held over three days starting on Nov. 19 through Nov. 21, 2019, in Denver, Colorado. Read more…
HPC in Life Sciences Part 1: CPU Choices, Rise of Data Lakes, Networking Challenges, and More
February 21, 2019
For the past few years HPCwire and leaders of BioTeam, a research computing consultancy specializing in life sciences, have convened to examine the state of HPC (and now AI) use in life sciences. Without HPC writ large, modern life sciences research would quickly grind to a halt. It’s true most life sciences research computing... Read more…
OpenHPC Gathers Steam, Preps New Release for SC18
November 1, 2018
You may recall at SC15 an Intel-led group introduced OpenHPC – an effort to build a community project around an open source, plug-and-play HPC stack. One goal Read more…
SC17: Singularity Preps Version 3.0, Nears 1M Containers Served Daily
November 1, 2017
Just a few months ago about half a million jobs were being run daily using Singularity containers, the LBNL-founded container platform intended for HPC. That wa Read more…
Amazon Debuts New AMD-based GPU Instances for Graphics Acceleration
September 12, 2017
Last week Amazon Web Services (AWS) streaming service, AppStream 2.0, introduced a new GPU instance called Graphics Design intended to accelerate graphics. The Read more…
Rethinking HPC Platforms for ‘Second Gen’ Applications
February 22, 2017
Just what constitutes HPC and how best to support it is a keen topic currently. A new paper posted last week on arXiv.org – Rethinking HPC Platforms: Challeng Read more…
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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.
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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.
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