Tag: case study

Achieving Hybrid and Multi-Cloud Architecture With Application Portability

by Fortune 50 Technology Company

A Fortune 50 technology company that serves over 1 billion users successfully implemented Alluxio to achieve a hybrid cloud strategy, become multi-cloud ready, cut costs, and boost agility. This case study highlights: This tech giant’s cloud journey to modernize its data platform and the challenges it faces Why this company chose Alluxio to achieve hybrid … Continued

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Thousand-Node Alluxio Cluster Powers Game AI Platform – A Production Case Study from Tencent

by Bing Zheng, Baolong Mao & Zhizheng Pa, Tencent

Tencent is one of the largest technology companies in the world and a leader in the gaming sector. The game AI platform supports AI research and development at Tencent. To provide model training with the best experience, Tencent has implemented a 1000-node Alluxio cluster and designed a scalable, robust, and performant architecture to accelerate the game AI training.

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Speeding Up the Atlas Supercomputing Platform with Fluid + Alluxio

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Unisound is an artificial intelligence company focusing on Internet of Things services. Unisound’s AI technology stacks include the perception and expression capabilities of signals, voices, images, and texts, and the cognitive technologies such as knowledge, understanding, analysis, and decision-making, towards a multi-modal AI system. Atlas is the supercomputing platform supporting all kinds of AI applications including model training and reasoning inferencing. 

Speeding Up the Atlas Supercomputing Platform with Fluid + Alluxio

by Dongdong Lv & Qingsong Liu, Unisound

Unisound is an artificial intelligence company focusing on Internet of Things services. Unisound’s AI technology stacks include the perception and expression capabilities of signals, voices, images, and texts, and the cognitive technologies such as knowledge, understanding, analysis, and decision-making, towards a multi-modal AI system. Atlas is the supercomputing platform supporting all kinds of AI applications including model training and reasoning inferencing. 

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“Zero-Copy” Hybrid Bursting with no App Changes

This whitepaper details how to leverage any public cloud (AWS, Google Cloud Platform, or Microsoft Azure) to scale analytics workloads directly on on-prem data without copying and synchronizing the data into the cloud. We will show an example of what it might look like to run on-demand Starburst Presto, Spark, and Hive with Alluxio in the public cloud using on-prem HDFS.

The paper also includes a real world case study on a leading hedge fund based in New York City, who deployed large clusters of Google Compute Engine VMs with Spark and Alluxio using on-prem HDFS as the underlying storage tier.

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China Unicom Uses Alluxio and Spark to Build New Computing Platform to Serve Mobile Users

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China Unicom is one of the five largest telecom operators in the world. China Unicom’s booming business in 4G and 5G networks has to serve an exploding base of hundreds of millions of smartphone users. This unprecedented growth brought enormous challenges and new requirements to the data processing infrastructure. The previous generation of its data processing system was based on IBM midrange computers, Oracle databases, and EMC storage devices. This architecture could not scale to process the amounts of data generated by the rapidly expanding number of mobile users. Even after deploying Hadoop and Greenplum database, it was still difficult to cover critical business scenarios with their varying massive data processing requirements.