Why you can trust ZDNet
Our recommendations are based on many hours of testing, research, and comparison shopping. We may earn a commission when you purchase a product through our links. This helps support our work but does not influence what we write about or the price you pay. Our editors thoroughly review and fact check every article. Our process

‘ZDNet Recommends’ What exactly does that mean?

ZDNet’s recommendations are based on many hours of testing, research, and comparison shopping. We gather data from the best available sources, including vendor and retailer listings as well as other relevant and independent reviews sites. And we pore over customer reviews to find out what matters to real people who already own and use the products and services we’re assessing.

When you click through from our site to a retailer and buy a product or service, we may earn affiliate commissions. This helps support our work, but does not affect what we cover or how, and it does not affect the price you pay. Neither ZDNet nor the author are compensated for these independent reviews. Indeed, we follow strict guidelines that ensure our editorial content is never influenced by advertisers.

ZDNet's editorial team writes on behalf of YOU, our reader. Our goal is to deliver the most accurate information and the most knowledgeable advice possible in order to help you make smarter buying decisions on tech gear and a wide array of products and services. Our editors thoroughly review and fact-check every article to ensure that our content meets the highest standards. If we have made an error or published misleading information, we will correct or clarify the article. If you see inaccuracies in our content, please report the mistake via this form

Close

Meta, AWS expand partnership, aim to enhance PyTorch adoption

The two companies will collaborate to help enterprises use PyTorch on AWS and scale deep learning models.

Meta is selecting Amazon Web Services as its long-term strategic cloud provider to complement its on-premises infrastructure and round out its integration and PyTorch strategy.

The partnership has broadened the existing relationship between Meta and AWS over the last five years. Meta uses AWS compute, storage, database and security services to complement its own on-premises infrastructure. However, when Meta (then Facebook) acquired Instagram in 2012, the social media giant moved Instagram from AWS to in-house infrastructure. Multiple tuck-in acquisitions by Meta have also leveraged AWS.

At AWS' re:Invent conference, Meta and AWS outlined the following:

  • Meta will use AWS to complement its on-premises infrastructure.
  • The two companies will collaborate to help enterprises use PyTorch on AWS and scale deep learning models.
  • Meta will run third-party collaborations in AWS. Meta also is using AWS to integrate better companies it acquires that run on the cloud giant.
  • Meta will use AWS compute services for its AI research and development for its Meta AI unit.
  • Meta and AWS will aim to improve the performance for customers running PyTorch on AWS.

The companies' overall mission is to accelerate how developers build, train, deploy and operate AI and machine learning models. 



If successful, Meta and AWS could optimize PyTorch performance on Amazon Elastic Compute Cloud (EC2) and Amazon SageMaker. The companies aim to create native tools to improve PyTorch's performance, explainability and cost of inference. In addition, Meta and AWS will continue to enhance TorchServe, the serving engine native to PyTorch.

PyTorch is already attracting a lot of enterprise attention as companies try to scale AI and machine learning models. 



Show Comments