How Meta Uses Azure
8 engineering articles about Azure from Meta's engineering team
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The Data Transfer Project aims to facilitate the secure transfer of photos and videos between online services, enhancing data portability for users.
William Morland
7 min read
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The article announces the stable release of PyTorch 1. 0 at the NeurIPS conference, highlighting its new production-oriented features and extensive community growth.
Yangqing Jia
6 min read
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Facebook announced significant advancements in AI development with the release of PyTorch 1. 0, emphasizing a more robust ecosystem of partners and production capabilities.
Joseph Spisak
6 min read
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The article announces the release of PyTorch 1. 0, an open-source AI framework that bridges the gap between research and production.
Bill Jia
6 min read
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The Performance @Scale 2018 conference, hosted by Facebook, gathered over 275 performance engineering experts to discuss challenges in managing performance for large-scale services.
Marty Greenia
5 min read
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The Data @Scale 2017 conference brought together 350 engineers to discuss the challenges and innovations in large-scale storage systems and analytics.
Parixit Pol
4 min read
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The article discusses the Data@Scale 2015 event, where engineers from various leading technology companies gathered to address the challenges of scaling data storage and processing.
The article provides a recap of the Networking @Scale conference, highlighting discussions among industry leaders on the engineering challenges of building scalable networks.
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