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Nvidia Announces Four Supercomputers, with Two in Taiwan
May 29, 2023
At the Computex event in Taipei this week, Nvidia announced four new systems equipped with its Grace- and Hopper-generation hardware, including two in Taiwan. T Read more…
The Grand Challenge of Simulating Nuclear Fusion: An Overview with UKAEA’s Rob Akers
May 25, 2023
As HPC and AI continue to rapidly advance, the alluring vision of nuclear fusion and its endless zero-carbon, low-radioactivity energy is the sparkle in many a Read more…
Nvidia Bolsters Omniverse for HPC, Announces NOAA-Lockheed Partnership
November 14, 2022
Over the past months, Nvidia has put a spotlight on its OVX hardware – purpose-built systems aimed at its Omniverse digital twins platform. Now, at SC22, Nvid Read more…
Nvidia Introduces New Ada Lovelace GPU Architecture, OVX Systems, Omniverse Cloud
September 20, 2022
In his GTC keynote today, Nvidia CEO Jensen Huang launched another new Nvidia GPU architecture: Ada Lovelace, named for the legendary mathematician regarded as Read more…
Eyeing Nvidia’s Omniverse for Fusion Reactor Design
March 25, 2022
With climate change accelerating and fossil fuel supplies proving increasingly contentious, ensuring a secure supply of clean energy is top-of-mind for many res Read more…
How Foldin[email protected] Identified (and Visualized) SARS-CoV-2’s Weak Spots
October 14, 2020
[email protected]’s crowdsourced network of volunteer computers has boomed during the pandemic, now comprising some one million citizen scientists who regularly do 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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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.
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