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?
Today, many people run deep learning applications with training data from separate storage such as object storage or remote data centers. This presentation will … Continued
Dataproc is Google’s managed Hadoop and Spark platform. In this talk, we will showcase how to swiftly build a hybrid cloud data platform with … Continued
Data infrastructure on-premises is increasingly complex and cloud adoption is attractive for business agility. Operating a hybrid environment is an approach to start benefiting … Continued
This talk describes benefits and methods Alluxio enables secure data access in the Comcast’s dx hybrid data cloud. … Continued
Unicom’s traditional batch architecture consists mainly of IOE, Hive, and Greenplum systems. With the development of business, a large number of computing application modules … Continued
This talk introduces T3Go’s solution in building an enterprise-level data lake based on Apache Hudi & Alluxio, and how to use Alluxio to accelerate … Continued
Presto & Alluxio on AWS: How we build a Up-To-Date Data-Platform at Ryte. … Continued
Presto, an open source distributed SQL engine, is widely recognized for its low-latency queries, high concurrency, and native ability to query multiple data sources. … Continued