A collaboration of Alibaba, Alluxio, and Nanjing University in tackling the problems of Deep Learning model training in the cloud. Our goal was to reduce the cost and complexity of data access for Deep Learning training in a hybrid environment, which resulted in over 40% reduction in training time and cost.
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This article describes how Alluxio can accelerate the training of deep learning models in a hybrid cloud environment when using Intel’s Analytics Zoo open source platform, powered by oneAPI. Details on the new architecture and workflow, as well as Alluxio’s performance benefits and benchmarks results will be discussed.
Are you using SQL engines, such as Presto, to query existing Hive data warehouse and experiencing challenges including overloaded Hive Metastore with slow and unpredictable access, unoptimized data formats and layouts such as too many small files, or lack of influence over the existing Hive system and other Hive applications?
Learn more about use cases with Alluxio leveraged in MOMO, JD.com, and TalkingData. … Continued
Small (kilobyte-sized) objects are the bane of highly scalable cloud object stores. Larger (at least megabytesized) objects not only improve performance, but also result … Continued
TalkingData’s largest data broker, provides data intelligence solutions and processes over 20 terabytes of data and more than one billion session requests per day. … Continued
Myntra, a division of Flipkart, is a leading fashion retailer in India offering customers a wide range of merchandise through a mobile application. An … Continued
Strata London 2018 - Learn how JD.com uses Alluxio as a pluggable optimization component to provide support for ad hoc and real-time stream computing. … Continued
Tencent, based in China, is one of the largest technology companies in the world and a leader in sectors such as social networking, gaming, … Continued
From our friends at MOMO The hadoop ecosystem makes many distributed system/algorithms easier to use and generally lowers the cost of operations. However, enterprises and … Continued
Quantitative hedge funds process large data sets with sophisticated financial models to drive investment decisions. Machine Learning is used to continuously improve models and … Continued