Meta/Facebook and AWS: the Seattle giant will become a long-term strategic cloud provider
The news is from December 1st and comes directly from Seattle, the headquarters of the Cloud Computing giant: AWS will become a long-term strategic Cloud provider of
Meta
, the company we all know as Facebook. This is no small news given that Meta will use AWS’ infrastructure and capabilities to complement its existing on-premises infrastructure and expand its use of AWS compute, storage, databases, and security services to provide privacy, reliability, and scalability in the cloud.
Meta will run third-party collaborations on AWS and use the Cloud to support acquisitions of companies already supported by AWS. It will also use AWS compute services to accelerate AI research and development for its “Meta AI” group. In addition, Meta and AWS will work together to improve the performance of customers running PyTorch on AWS and accelerate the way developers build, train, deploy, and manage AI/machine learning models. Sorry if it’s little, we would say!
AWS and Meta will help machine learning researchers and developers further optimize the performance of PyTorch and its integration with core services such as
“Amazon Elastic Compute Cloud
” and “
Amazon SageMaker
” to build, train, and deploy AI models at scale.
The two companies will work together to deliver tools that improve the performance and cost of inference on PyTorch. To make it easier to deploy models in production, companies will continue to improve TorchServe as well. Building on these open-source contributions, AWS and Meta plan to help companies bring large-scale deep learning models from research to production faster and easier with optimized performance on AWS.
Kathrin Renz, Vice President of Business Development and Industries at Amazon Web Services, said: “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’re excited to extend our strategic relationship with AWS to help us innovate faster and expand the scale and scope of our R&D work,” said Jason Kalich, Meta’s Vice President of Production Engineering. “The global reach and reliability of AWS will help us continue to deliver innovative experiences for the billions of people around the world who use Meta products and services, and for customers who run PyTorch on AWS.”
