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HPC Career Notes: May 2023 Edition
May 1, 2023
In this monthly feature, we’ll keep you up-to-date on the latest career developments for individuals in the high-performance computing community. Whether it� Read more…
MLPerf Inference 3.0 Highlights – Nvidia, Intel, Qualcomm and…ChatGPT
April 5, 2023
MLCommons today released the latest MLPerf Inferencing (v3.0) results for the datacenter and edge. While Nvidia continues to dominate the results – topping al Read more…
HPC Career Notes: April 2023 Edition
April 1, 2023
In this monthly feature, we’ll keep you up-to-date on the latest career developments for individuals in the high-performance computing community. Whether it� Read more…
JPMorgan Chase, QC Ware Report Progress in Quantum DL for Deep Hedging
March 30, 2023
Hedging is, of course, a ubiquitous practice in FS and there are well-developed classical computational approaches for implementing this risk mitigation strateg Read more…
White House Budget Request Includes Funding for Leadership-Class Computing Facility
March 10, 2023
The U.S. government is dedicating a record amount of $25 billion as part of the 2024 budget to emerging technologies as the country looks to counter the technology threat from China. The budget includes billions of dollars earmarked to boost the supercomputing infrastructure, semiconductors, and cutting-edge technologies such as artificial intelligence and quantum computing. The technology... Read more…
Five Trends Shaping HPC in 2023
March 6, 2023
Today’s HPC landscape is one of rapid growth, change, and evolution. The overall market has skyrocketed to $34.8 billion with expected developments fueling continued expansion. From pandemic aftereffects and growing cross-disciplinary work to increasing technical advancements, we have entered into a... Read more…
HPC Career Notes: March 2023 Edition
March 1, 2023
In this monthly feature, we’ll keep you up-to-date on the latest career developments for individuals in the high-performance computing community. Whether it� Read more…
AWS Debuts Palace – Finite Element Analysis Suite Fine-Tuned for the Cloud
February 21, 2023
In an interesting twist on quantum-inspired work making its way into traditional HPC – and in this case a step further into cloud-based HPC – AWS today intr 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.
To ensure your AI systems are optimized, follow these five essential steps to eliminate bottlenecks and maximize efficiency.
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