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…
January 26, 2023
The future of the semiconductor industry was partially being decided last week by a mix of politicians, policy hawks and chip industry executives jockeying for Read more…
November 12, 2022
Chipmakers regularly indulge in a game of brinkmanship, with an example being Intel and AMD trying to upstage one another with server chip launches this week. But each of those companies are in different positions, with AMD playing its traditional role of a scrappy underdog trying to unseat the behemoth Intel... 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…
August 8, 2022
The combined stressors of Covid-19 and the invasion of Ukraine have sent every major nation scrambling to reinforce its mission-critical supply chains – including and in particular the semiconductor supply chain. In the U.S. – which, like much of the world, relies on Asia for its semiconductors – those efforts have taken shape through the recently... Read more…
July 28, 2022
The U.S. House today passed the CHIPS and Science Act of 2022, which authorizes $280 billion in funding to boost semiconductor research and production in the country. The passage of the bill paves the way for U.S. president Joe Biden to sign the legislation into law, which would officially open up funding... 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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