May 2, 2023
The semiconductor industry could be worth $1 trillion by 2030, growing from $600 billion today – and there will be an acute shortage of talent to fill jobs as the sector grows. Read more…
April 27, 2023
The $54.2 billion U.S. CHIPS and Science Act – which was signed into law last August – included $11 billion for research and development efforts to be led b Read more…
April 13, 2023
U.S. chip companies are jockeying to get a piece of the billions of dollars of taxpayer money made available by the CHIPS Act, and the government is putting rul Read more…
March 16, 2023
Sometime later this year, perhaps around July, the Department of Defense is expected to announce the sites and focus of up to nine hubs associated with the Micr Read more…
October 6, 2022
Intel is opening up its fabs for academic institutions so researchers can get their hands on physical versions of its chips, with the end goal of boosting semic Read more…
September 8, 2022
The wheels are turning on the so-called CHIPS and Science Act, with a flurry of activity this week to turn the legislation into action. On Friday, U.S. President Joe Biden will be in Ohio alongside Intel CEO Pat Gelsinger to break ground on the chipmaker's new $20 billion manufacturing site, which will likely be partially... Read more…
August 16, 2022
For the second time in as many weeks, President Biden has signed into law a major bill with significant implications for the computing sector. The Inflation Reduction Act – which is certainly the cornerstone of Biden’s first two years in office – allocates hundreds of billions of dollars toward energy security, climate change and healthcare. Among those hundreds of billions are hundreds of millions for scientific computing. At the signing ceremony... Read more…
August 9, 2022
Just a few days after it was passed in the Senate, the U.S. CHIPS and Science Act has been signed into law by President Biden. In a ceremony today, Biden signed and lauded the ambitious piece of legislation, which over the course of the legislative process broadened to include hundreds of billions in additional science and technology spending. He was flanked by Speaker... 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.
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