Alluxio Accelerates Deep Learning in Hybrid Cloud using Intel’s Analytics Zoo open source platform powered by oneAPI

This article describes how Alluxio accelerates the training of deep learning models in a hybrid cloud environment with 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.

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Get Insights Faster with Alluxio and Intel

Learn more about Alluxio and Intel’s joint solution, which allows companies to unify on-premises and cloud data silos into a single, cloud-based data layer, increasing data accessibility and elasticity while virtually eliminating the need for copies—for less complexity, lower costs, and greater speed and agility.

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Ultra Fast Deep Learning in Hybrid Cloud Using Intel Analytics Zoo & Alluxio

Today, many people run deep learning applications with training data from separate storage such as object storage or remote data centers. This presentation will demo the Intel Analytics Zoo + Alluxio stack, an architecture that enables high performance while keeping cost and resource efficiency balanced without network being I/O bottlenecked.

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Ultra Fast Deep Learning in Hybrid Cloud Using Intel Analytics Zoo & Alluxio

Alluxio Global Online Meetup *

Today, many people run deep learning applications with training data from separate storage such as object storage or remote data centers. This presentation will demo the Intel Analytics Zoo + Alluxio stack, an architecture that enables high performance while keeping cost and resource efficiency balanced without network being I/O bottlenecked.

Tech Talk: Accelerate and Scale Big Data Analytics with Disaggregated Compute and Storage

The ever increasing challenge to process and extract value from exploding data with AI and analytics workloads makes a memory centric architecture with disaggregated storage and compute more attractive. This decoupled architecture enables users to innovate faster and scale on-demand. Enterprises are also increasingly looking towards object stores to power their big data & machine learning workloads in a cost-effective way. However, object stores don’t provide big data compatible APIs as well as the required performance. 

In this webinar, the Intel and Alluxio teams will present a proposed reference architecture using Alluxio as the in-memory accelerator for object stores to enable modern analytical workloads such as Spark, Presto, Tensorflow, and Hive. We will also present a technical overview of Alluxio.

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