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Press Release

Google Cloud and NVIDIA expand partnership to advance AI computing

Tue 29 Aug 2023

Google Cloud and NVIDIA has expanded their partnership. The tech giants will develop new AI infrastructure and software to build and deploy massive models for generative AI and speed data science workloads.

The partnership is expected to bring end-to-end machine learning services to some of the largest AI customers in the world. The companies will focus on making it easier to run AI supercomputers with Google Cloud offerings built on NVIDIA technologies.

Many of Google’s products are built and served on NVIDIA GPUs. The new hardware and software integrations are set to utilise 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,” said NVIDIA Founder and CEO, Jensen Huang. Huang said.

The collaboration NVIDIA and Google Cloud will also look to 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. Many of our customers are seeking out NVIDIA accelerated computing to power efficient development of large language models (LLMs) to advance generative AI,” said Google Cloud CEO, Thomas Kurian.

NVIDIA and Google Cloud to speed AI and data science development

PaxML, Google’s framework for building massive LLMs is now optimised for NVIDIA accelerated computing.

Google DeepMind and other Google researchers are among the first to use PaxML with NVIDIA GPUs for exploratory research.

Originally built to span multiple Google TPU accelerator slices, PaxML now enables developers to use NVIDIA H100 and A100 Tensor Core GPUs for advanced and fully configurable experimentation and scale.

A GPU-optimised PaxML container is available immediately in the NVIDIA NGC software catalog. In addition, PaxML runs on JAX, which has been optimised for GPUs leveraging the OpenXLA compiler.

The NVIDIA-optimised container for PaxML will be available immediately on the NVIDIA NGC container registry to researchers, startups and enterprises worldwide that are building the next generation of AI-powered applications.

Google’s integration of serverless Spark with NVIDIA GPUs through Google’s Dataproc service was also announced. This will help data scientists speed Apache Spark workloads to prepare data for AI development.

These new integrations are the latest in NVIDIA and Google’s extensive history of collaboration.

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