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May 20, 2022 03:57 pm GMT
Scale, elasticity, and efficient utilization of resources play critical roles in chip design, particularly given that the demand for compute processing grows with each node advancement. To remain flexible and scale easily, AMD will add Google Cloud's newest compute-optimized C2D VM instance, powered by 3rd Gen AMD EPYC processors, to its suite of resources focused on EDA workloads. By leveraging Google Cloud, AMD anticipates being able to run more designs in parallel, giving the team more flexibility to manage short-term compute demands, without reducing allocation on long-term projects.
Original Link: https://www.techpowerup.com/295071/amd-selects-google-cloud-to-provide-additional-scale-for-chip-design-workloads
(PR) AMD Selects Google Cloud to Provide Additional Scale for Chip Design Workloads
Google Cloud and AMD today announced a technology partnership in which AMD will run electronic design automation (EDA) for its chip-design workloads on Google Cloud, further extending the on-premises capabilities of AMD data centers. AMD will also leverage Google Cloud's global networking, storage, artificial intelligence, and machine learning capabilities to further improve upon its hybrid and multicloud strategy for these EDA workloads.Scale, elasticity, and efficient utilization of resources play critical roles in chip design, particularly given that the demand for compute processing grows with each node advancement. To remain flexible and scale easily, AMD will add Google Cloud's newest compute-optimized C2D VM instance, powered by 3rd Gen AMD EPYC processors, to its suite of resources focused on EDA workloads. By leveraging Google Cloud, AMD anticipates being able to run more designs in parallel, giving the team more flexibility to manage short-term compute demands, without reducing allocation on long-term projects.
Original Link: https://www.techpowerup.com/295071/amd-selects-google-cloud-to-provide-additional-scale-for-chip-design-workloads
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