Scaling TensorFlow at LinkedIn with Jonathan Hung - #314
Published:Nov 4, 2019 19:46
•1 min read
•Practical AI
Analysis
This article summarizes a podcast episode from Practical AI featuring Jonathan Hung, a Senior Software Engineer at LinkedIn. The discussion centers around LinkedIn's use of TensorFlow, specifically focusing on how they scaled it within their existing infrastructure. Key topics include their motivation for using TensorFlow on Hadoop clusters, the TonY (TensorFlow on Yard) framework, its integration with LinkedIn's Pro-ML AI platform, and their exploration of Kubernetes for research purposes. The episode likely provides valuable insights into the practical challenges and solutions involved in deploying and scaling deep learning models in a large-scale production environment.
Key Takeaways
- •LinkedIn uses TensorFlow for deep learning tasks.
- •They leverage their existing Hadoop infrastructure for TensorFlow via TonY (TensorFlow on Yard).
- •They are exploring Kubernetes for research purposes.
Reference
“The article doesn't contain a direct quote, but it discusses the topics presented by Jonathan Hung at TensorFlow World.”