Social Media

• 5 things to know about Meta's Threads app before you entangle your Instagram account
• How to download YouTube videos
• How to join and use Twitter rival Bluesky Social
• Instagram feed fix: How to see more of what you want (and less of what you don't)
• Micro-social media: What is it and which tools should you try?

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 PyTorchon 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. 

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• AI: Facebook's new algorithm was trained on one billion Instagram pics.

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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. 

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• Microsoft adds enterprise support for PyTorch AI on Azure
• PyTorch 1.9 has arrived: Here's what you need to know
• Facebook AI's friendly battle of researchers versus devs finds PyTorch triumphant
• Using PyTorch to streamline machine-learning projects

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AWS re:Invent

AWS ups its industry ground game at re:Invent 2021AWS CEO unveils new private 5G serviceAWS takes aim at mainframes with migration serviceAWS, CrowdStrike, and Presidio partner for ransomware mitigation kitAWS launches quartet of serverless, on-demand solutionsAWS targets auto and industrial sectors with FleetWise, TwinMakerProcessor roadmap adds Graviton3, Trainium, new instancesIoT RoboRunner aims to manage robot fleets

• AWS ups its industry ground game at re:Invent 2021
• AWS CEO unveils new private 5G service
• AWS takes aim at mainframes with migration service
• AWS, CrowdStrike, and Presidio partner for ransomware mitigation kit
• AWS launches quartet of serverless, on-demand solutions
• AWS targets auto and industrial sectors with FleetWise, TwinMaker
• Processor roadmap adds Graviton3, Trainium, new instances
• IoT RoboRunner aims to manage robot fleets