Google Cloud and NVIDIA Expand Partnership to Advance AI Computing, Software and Services
30 8월 2023 - 1:45AM
Google Cloud Next -- 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
DevelopmentGoogle’s framework for building massive large
language models (LLMs), PaxML, is now optimized for NVIDIA
accelerated computing.
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-optimized PaxML container is available immediately in
the NVIDIA NGC™ software catalog. In addition, PaxML runs on JAX,
which has been optimized for GPUs leveraging the OpenXLA
compiler.
Google DeepMind and other Google researchers are among the first
to use PaxML with NVIDIA GPUs for exploratory research.
The NVIDIA-optimized 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.
Additionally, the companies announced Google’s integration of
serverless Spark with NVIDIA GPUs through Google’s Dataproc
service. 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. They cross hardware and
software announcements, including:
- Google Cloud on A3 virtual machines powered by NVIDIA
H100 — Google Cloud announced today its purpose-built
Google Cloud A3 VMs powered by NVIDIA H100 GPUs will be generally
available next month, making NVIDIA’s AI platform more accessible
for a broad set of workloads. Compared to the previous generation,
A3 VMs offer 3x faster training and significantly improved
networking bandwidth.
- NVIDIA H100 GPUs to power Google Cloud’s Vertex AI
platform — H100 GPUs are expected to be generally
available on VertexAI in the coming weeks, enabling customers to
quickly develop generative AI LLMs.
- Google Cloud to gain access to NVIDIA DGX™
GH200 — Google Cloud will be one of the first companies in
the world to have access to the NVIDIA DGX GH200 AI supercomputer —
powered by the NVIDIA Grace Hopper™ Superchip — to explore its
capabilities for generative AI workloads.
- NVIDIA DGX Cloud Coming to Google Cloud —
NVIDIA DGX Cloud AI supercomputing and software will be available
to customers directly from their web browser to provide speed and
scale for advanced training workloads.
- NVIDIA AI Enterprise on Google Cloud
Marketplace — Users can access NVIDIA AI Enterprise, a
secure, cloud native software platform that simplifies developing
and deploying enterprise-ready applications including generative
AI, speech AI, computer vision, and more.
- Google Cloud first to offer NVIDIA L4
GPUs — Earlier this year, Google Cloud became the
first cloud provider to offer NVIDIA L4 Tensor Core GPUs with the
launch of the G2 VM. NVIDIA customers switching to L4 GPUs from
CPUs for AI video workloads can realize up to 120x higher
performance with 99% better efficiency. L4 GPUs are used widely for
image and text generation, as well as VDI and AI-accelerated
audio/video transcoding.
About Google CloudGoogle Cloud accelerates
every organization's ability to digitally transform its business
and industry. We deliver enterprise-grade solutions that leverage
Google's cutting-edge technology, and tools that help developers
build more sustainably. Customers in more than 200 countries and
territories turn to Google Cloud as their trusted partner to enable
growth and solve their most critical business problems.
About NVIDIASince its founding in 1993, NVIDIA
(NASDAQ: NVDA) has been a pioneer in accelerated computing. The
company’s invention of the GPU in 1999 sparked the growth of the PC
gaming market, redefined computer graphics and ignited the era of
modern AI. NVIDIA is now a full-stack computing company with
data-center-scale offerings that are reshaping industry. More
information at https://nvidianews.nvidia.com/.
For further information, contact:Cliff
EdwardsNVIDIA
Corporation+1-415-699-2755cliffe@nvidia.com
Google Cloud PR contactPress@google.com
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benefits, impact, features and availability of Google Cloud
offerings built on NVIDIA technologies; the inflection point where
accelerated computing and generative AI have come together to speed
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