Google unveiled its new A3 supercomputer for training machine learning and artificial intelligence models at the I/O conference in Mountain View, Calif., on Wednesday.
Built in partnership with Nvidia, a global leader in AI hardware and software that designs and manufactures graphics processing units for a variety of industries, this new technology is a complete solution for training and inference of machine learning models. It is intended to provide a range of GPU options.
GPUs are useful for machine learning, video editing, and gaming applications because they can handle many different tasks simultaneously.
The A3 supercomputer “is purpose-built to train and deliver the most demanding AI models, driving innovation in today’s generative AI and large-scale language models,” the company said.
“A3 GPU VMs” [virtual machines] is a step forward for customers developing state-of-the-art ML models,” said Roy Kim, Director of Product Management, Google Cloud, and Chris Kleban, Group Product Manager, Google Cloud.
“By significantly accelerating ML model training and inference, A3 VMs enable enterprises to train more complex ML models faster, enabling customers to scale large-scale language models, generative AI, diffusion It creates an opportunity to build models and optimize operations to stay ahead of the competition.”
According to a report by Grand View Research, the global AI market is expected to grow at an annual rate of over 38% from 2022 to 2030.
Alibaba Damo Academy, the global research arm of Chinese company Alibaba Group, expects AI to become a common theme in the top 10 technology trends in the coming years, accelerating breakthroughs not only in society but across major economic sectors. said to have been. last year’s report.
Ian Buck, Vice President of Hyperscale and High Performance Computing at Nvidia, said: “His A3 VMs on Google Cloud will accelerate the training and delivery of generative AI applications.”
“We are proud to continue our collaboration with Google Cloud to help transform enterprises around the world with purpose-built AI infrastructure.”
Updated on May 10, 2023 at 10:08 PM
