Meta Selects AWS as Key, Long-Term Strategic Cloud Provider
01 Dicembre 2021 - 3:00PM
Business Wire
Meta will use AWS services and global
infrastructure to scale research and development, facilitate third
party collaborations, and drive operational efficiency
Meta and AWS will jointly help enterprises use
PyTorch on AWS to bring deep learning models from research into
production faster and easier
Today, Amazon Web Services, Inc. (AWS), an Amazon.com, Inc.
company (NASDAQ: AMZN), announced that Meta (NASDAQ: FB) has
deepened its relationship with AWS as a strategic cloud provider.
Meta uses AWS’s proven infrastructure and comprehensive
capabilities to complement its existing on-premises infrastructure,
and will broaden its use of AWS compute, storage, databases, and
security services to provide privacy, reliability, and scale in the
cloud. Meta will run third-party collaborations in AWS and use the
cloud to support acquisitions of companies that are already powered
by AWS. It will also use AWS’s compute services to accelerate
artificial intelligence (AI) research and development for its Meta
AI group. In addition, Meta and AWS will work together to improve
the performance for customers running PyTorch on AWS and accelerate
how developers build, train, deploy, and operate artificial
intelligence/machine learning models.
AWS and Meta will help machine learning researchers and
developers by further optimizing PyTorch performance and its
integration with core managed services such as Amazon Elastic
Compute Cloud (Amazon EC2) and Amazon SageMaker (AWS’s service that
helps developers and data scientists build, train, and deploy
machine learning models quickly in the cloud and at the edge) for
building, training, and deploying artificial intelligence models at
scale. To make it easier for developers to build large-scale deep
learning models for natural language processing and computer
vision, the companies are enabling PyTorch on AWS to orchestrate
large-scale training jobs across a distributed system of AI
accelerators. The companies will work together to offer native
tools to improve the performance, explainability, and cost of
inference on PyTorch. To simplify the deployment of models in
production, the companies will continue to enhance TorchServe, the
serving engine native to PyTorch that makes it easy to deploy
trained PyTorch models at scale. Building on these open-source
contributions, AWS and Meta plan to help organizations bring
large-scale deep learning models from research to production faster
and easier with optimized performance on AWS.
“Meta and AWS have been expanding our collaboration over the
last five years,” said Kathrin Renz, Vice President of Business
Development and Industries at Amazon Web Services, Inc. “With this
agreement, AWS will continue to help Meta support research and
development, drive innovation, and collaborate with third parties
and the open-source community at scale. Customers can rely on Meta
and AWS to collaborate on PyTorch, making it easier for them to
build, train, and deploy deep learning models on AWS.”
“We are excited to extend our strategic relationship with AWS to
help us innovate faster and expand the scale and scope of our
research and development work,” said Jason Kalich, Vice President
of Production Engineering at Meta. “The global reach and
reliability of AWS will help us continue to deliver innovative
experiences for the billions of people around the world that use
Meta products and services and for customers running PyTorch on
AWS.”
About Amazon Web Services
For over 15 years, Amazon Web Services has been the world’s most
comprehensive and broadly adopted cloud offering. AWS has been
continually expanding its services to support virtually any cloud
workload, and it now has more than 200 fully featured services for
compute, storage, databases, networking, analytics, machine
learning and artificial intelligence (AI), Internet of Things
(IoT), mobile, security, hybrid, virtual and augmented reality (VR
and AR), media, and application development, deployment, and
management from 81 Availability Zones within 25 geographic regions,
with announced plans for 27 more Availability Zones and nine more
AWS Regions in Australia, Canada, India, Indonesia, Israel, New
Zealand, Spain, Switzerland, and the United Arab Emirates. Millions
of customers—including the fastest-growing startups, largest
enterprises, and leading government agencies—trust AWS to power
their infrastructure, become more agile, and lower costs. To learn
more about AWS, visit aws.amazon.com.
About Amazon
Amazon is guided by four principles: customer obsession rather
than competitor focus, passion for invention, commitment to
operational excellence, and long-term thinking. Amazon strives to
be Earth’s Most Customer-Centric Company, Earth’s Best Employer,
and Earth’s Safest Place to Work. Customer reviews, 1-Click
shopping, personalized recommendations, Prime, Fulfillment by
Amazon, AWS, Kindle Direct Publishing, Kindle, Career Choice, Fire
tablets, Fire TV, Amazon Echo, Alexa, Just Walk Out technology,
Amazon Studios, and The Climate Pledge are some of the things
pioneered by Amazon. For more information, visit amazon.com/about
and follow @AmazonNews.
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