Google Cloud & NVIDIA Join Forces To Power AI Computing
NVIDIA has joined forces with Google Cloud to offer the latest infrastructure for next-gen AI computing workloads including Generative AI & Data Sciences.
Press Release: Google Cloud and NVIDIA today announced new AI infrastructure and software for customers to build and deploy massive models for generative AI and speed data science workloads.
In a fireside chat at Google Cloud Next, Google Cloud CEO Thomas Kurian and NVIDIA founder and CEO Jensen Huang discussed how the partnership is bringing end-to-end machine learning services to some of the largest AI customers in the world — including by making it easy to run AI supercomputers with Google Cloud offerings built on NVIDIA technologies. The new hardware and software integrations utilize the same NVIDIA technologies employed over the past two years by Google DeepMind and Google research teams.
“We’re at an inflection point where accelerated computing and generative AI have come together to speed innovation at an unprecedented pace,” Huang said. “Our expanded collaboration with Google Cloud will help developers accelerate their work with infrastructure, software, and services that supercharge energy efficiency and reduce costs.”
“Google Cloud has a long history of innovating in AI to foster and speed innovation for our customers,” Kurian said. “Many of Google’s products are built and served on NVIDIA GPUs, and many of our customers are seeking out NVIDIA accelerated computing to power efficient development of LLMs to advance generative AI.”
NVIDIA Integrations to Speed AI and Data Science Development
Google’s framework for building massive large language models (LLMs), PaxML, is now optimized for NVIDIA accelerated computing.
Originally built to span multiple Google TPU
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