AMD chooses Google Cloud to provide scale for chip design workloads

Duncan is an award-winning editor with greater than 20 years expertise in journalism. Having launched his tech journalism profession as editor of Arabian Laptop Information in Dubai, he has since edited an array of tech and digital advertising publications, together with Laptop Enterprise Evaluate, TechWeekEurope, Figaro Digital, Digit and Advertising and marketing Gazette.


Google Cloud and AMD have shaped a expertise partnership during which AMD will run digital design automation (EDA) for its chip-design workloads on Google Cloud, additional extending the on-premises capabilities of AMD information centese.

AMD may even leverage Google Cloud’s international networking, storage, synthetic intelligence, and machine studying capabilities to additional enhance upon its hybrid and multicloud technique for these EDA workloads.

Scale, elasticity, and environment friendly utilization of sources play important roles in chip design, significantly provided that the demand for compute processing grows with every node development. To stay versatile and scale simply, AMD will add Google Cloud’s latest compute-optimized C2D VM occasion, powered by third Gen AMD EPYC™ processors, to its suite of sources targeted on EDA workloads. By leveraging Google Cloud, AMD anticipates having the ability to run extra designs in parallel, giving the crew extra flexibility to handle short-term compute calls for, with out decreasing allocation on long-term initiatives.

Sachin Gupta, GM and VP, Infrastructure, at Google Cloud, stated: “In at this time’s semiconductor atmosphere, the velocity, scale, and safety of the cloud unlock a lot wanted flexibility. We’re happy to offer the infrastructure required to satisfy AMD’s compute efficiency wants and equip the corporate with our AI options to proceed designing progressive chips.”

Mydung Pham, company VP of silicon design engineering at AMD, stated: “Leveraging the Google Cloud C2D situations powered by third Gen EPYC processors for our advanced EDA workloads has helped our engineering and IT groups tremendously. C2D has allowed us to be extra versatile and supplied a brand new avenue of high-performance sources that enables us to combine and match the proper compute answer for our advanced EDA workflows.

“We’re pleased to work with Google Cloud to reap the benefits of their wealth of cloud options and the capabilities of third Gen EPYC.”

By means of this multi-year expertise partnership, Google Cloud and AMD will proceed to discover new capabilities and improvements, whereas AMD will get pleasure from advantages similar to:

  • Elevated flexibility and option to run purposes in probably the most environment friendly method doable
  • Improved design and operations from utilized Google Cloud synthetic intelligence and machine studying instruments and frameworks
  • Extra transparency with prices and useful resource consumption
  • Better agility and fewer vendor lock-in

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