Google Cloud Now Additional Scalability Option for AMD Chip Design Workloads

AMD

AMD will use Google Cloud to conduct electronic design automation (EDA) for its chip-design workloads, increasing AMD data centers’ on-premises capabilities. AMD will also take use of Google Cloud’s global networking, storage, AI, and machine learning capabilities to boost its hybrid and multicloud approach for key EDA workloads.

Photo Mydung Pham, corporate vice president, Silicon Design Engineering, at AMD
“Leveraging the Google Cloud C2D instances powered by 3rd Gen EPYC processors for our complex EDA workloads has helped our engineering and IT teams tremendously,” said Mydung Pham, corporate vice president, Silicon Design Engineering, at AMD.

According to AMD, chip design must consider scale, flexibility, and resource use efficiency, especially as the need for compute processing rises with each node development. AMD will add Google Cloud’s newest compute-optimized C2D VM instance, powered by 3rd Gen AMD EPYC processors, to its portfolio of resources targeted on EDA applications to remain flexible and grow effortlessly.

AMD expects to be able to execute more designs in parallel using Google Cloud, providing the team greater flexibility in managing short-term computing demands without sacrificing allocation on long-term projects.

“Leveraging the Google Cloud C2D instances powered by 3rd Gen EPYC processors for our complex EDA workloads has helped our engineering and IT teams tremendously,” said Mydung Pham, corporate vice president, Silicon Design Engineering, at AMD. “C2D has allowed us to be more flexible and provided a new avenue of high-performance resources that allows us to mix and match the right compute solution for our complex EDA workflows. We’re happy to work with Google Cloud to take advantage of their wealth of cloud features and the capabilities of 3rd Gen EPYC.”

AI Solutions

“In today’s semiconductor environment, the speed, scale, and security of the cloud unlock much needed flexibility,” said Sachin Gupta, GM and VP, Infrastructure, Google Cloud. “We are pleased to provide the infrastructure required to meet AMD’s compute performance needs and equip the company with our AI solutions to continue designing innovative chips.”

Google Cloud and AMD will continue to explore new capabilities and breakthroughs as part of this multi-year technological alliance, while AMD would benefit from things like:

  • Increased flexibility and options for running apps as efficiently as feasible
  • Google Cloud artificial intelligence and machine learning tools and frameworks improved design and operations
  • Costs and resource use are more transparent
  • Less vendor lock-in and more agility