Understanding cloud compute for EDA workloads

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Today, designing chips has never been more complex and competitive. Despite this, leaders must ensure that their electronic design automation (EDA) workflows are up to date.

However, as EDA processes and requirements get more complicated, many organizations are turning to automation, AI, and machine learning solutions to keep up with the rapid landscape transformation. But, knowing what technology is right for your organization can be tricky.

Dig into this Enterprise Strategy Group report to gain more insight into the current market and discover the key ways you can improve your EDA workflows to drive success.

Vendor:
AWS & AMD
Posted:
Sep 10, 2024
Published:
Sep 10, 2024
Format:
HTML
Type:
ESG Showcase
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