December 8, 2022
Veteran HPC analyst Steve Conway has joined the Intersect360 Research team, effective this week. As Senior Analyst, Conway will conduct HPC market research with a special focus on AI, edge and composable computing, while keeping close tabs on the international technology stage. In an interview with HPCwire... Read more…
December 7, 2022
Hyperion Research delivered its latest outlook for the quantum computing market yesterday at the Q2B22 Conference, estimating revenues for 2022 will finish arou Read more…
November 8, 2022
Return to normalcy is too strong, but the latest portrait of the HPC market presented by Hyperion Research yesterday is a positive one. Total 2022 HPC revenue ( Read more…
May 30, 2022
While echoes of the pandemic continue rippling through the HPC landscape – primarily lingering supply chain issues – the outlook for the HPC market writ large is strong, according to Hyperion Research, which delivered its ISC 2022 HPC market update today. Last year, HPC spending (on premise, cloud, and AI) neared $35 billion and is on track to reach... Read more…
May 29, 2022
This time last year, optimism abounded that the proliferation of vaccines and waning Covid rates would lead to a robust rebound for the HPC market in 2021. Need Read more…
June 23, 2021
Despite the turmoil and uncertainty spurred by the pandemic, the broad HPC market finished 2020 at $38.9 billion in revenue, down just 0.2 percent from 2019. What’s more, HPC has returned to its growth track and is projected to reach $60 billion in 2025. While several HPC sectors slowed, surging government spending to fight the pandemic and ongoing... Read more…
May 12, 2021
The HPC User Forum meeting taking place virtually this week (May 11-13) kicked off with Hyperion Research’s market update, covering the 2020 period. Although Read more…
November 18, 2020
Before the COVID-19 pandemic essentially stopped the world in its tracks in March, the global HPC server market was expected to grow from $13.7 billion in 2019 Read more…
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.
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.
© 2023 HPCwire. All Rights Reserved. A Tabor Communications Publication
HPCwire is a registered trademark of Tabor Communications, Inc. Use of this site is governed by our Terms of Use and Privacy Policy.
Reproduction in whole or in part in any form or medium without express written permission of Tabor Communications, Inc. is prohibited.