Duncan is an award-winning editor with more than 20 years of experience in journalism. After starting his career in technology journalism as an editor for Arabian Computer News in Dubai, he edited many technology and digital marketing publications, including Computer Business Review, TechWeekEurope, Figaro Digital, Digit, and the Marketing Gazette.
Google Cloud and AMD will build a technology partnership, and AMD will implement electronic design automation (EDA) for its chip design workload on Google Cloud, further expanding the internal capabilities of the AMD data center.
AMD will also use Google Cloud’s global networking, storage, artificial intelligence, and machine learning capabilities to improve hybrid and multi-cloud strategies for these EDA workloads.
Size, flexibility, and resource efficiency play an important role in chip design, especially as the demand for computational processing increases as the node grows. For flexibility and easy scaling, AMD will add a C2D VM example to its EDA workload-focused resource package, optimizing the latest computing powered by Google Cloud’s 3rd generation AMD EPYC ™ processor. Using Google Cloud, AMD believes it will have more flexibility to manage short-term computational demand without reducing the allocation of long-term projects and allow more models to run in parallel in the team.
Sachin Gupta, CEO and vice president of infrastructure for Google Cloud, said: “In today’s semiconductor environment, cloud speed, scale and security open up flexibility. We provide the infrastructure needed to meet AMD’s computing performance needs. We are pleased to equip the company with artificial intelligence solutions to continue to innovate chips. “
Mydung Pham, vice president of silicon design engineering at AMD, said: “Using Google Cloud C2D instances running on 3rd generation EPYC processors for the first complex EDA workload has been a huge help to our engineering and information technology team. C2D has made us more flexible. has provided a new opportunity for high-performance resources that allows us to mix and match computational solutions appropriate to EDA’s complex workflow.
“We’re excited to partner with Google Cloud to take advantage of their rich cloud capabilities and 3rd generation EPYC capabilities.”
Through this long-term technology partnership, Google Cloud and AMD will continue to explore new opportunities and innovations, and AMD will enjoy the following benefits:
- Increased flexibility and choice of applications to run most efficiently
- Improved application Google Cloud artificial intelligence, machine learning tools, framework design and functionality.
- Make costs and resource spending more transparent
- The more agility, the less congestion the seller has