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AI storage
Achieving Elastic Throughput in the Cloud with a Distributed File System to Boost AI Training
2023-05-06
Rui Su
Learn how JuiceFS, a cloud-native high-performance distributed storage system, empowers quantitative hedge funds to enhance AI training and achieve e…
How to Boost AI Model Training with a Distributed Storage System
2023-04-25
Changjian Gao
Learn why distributed storage is important in the AI field and how JuiceFS, an open-source high-performance distributed file system, can help boost m…
China Telecom Manages PB-Level Data by Separating Compute & Storage with JuiceFS
2023-03-17
Lei Yang
China Telecom's big data team handles massive data at the PB level on a daily basis, and it resolved this by implementing storage and computing separ…
AI & HPC Workloads on Hybrid Cloud: DP Technology's Storage Challenges and Solutions
2023-02-08
Yangbin Li
A use case of setting up storage platform for deep learning/machine learning workloads on Hybrid Cloud environment. It introduces the storage challe…
Accelerating Deep Learning Model Training on Object Storage with JuiceFS: A Use Case from Unisound
2023-01-03
Dongdong Lv
This blog compares Lustre and JuiceFS for HPC storage. JuiceFS, a cloud-native distributed storage system, provides seamless integration with Kuberne…
Setting Up a Cloud-Based Machine Learning Platform with JuiceFS: A Use Case from a Quantitative Firm
2022-11-11
Jianhong Li
The article outlines the storage requirements for setting up a cloud-based machine learning platform. JuiceFS, a distributed file system that is com…
Improving Read Performance by ~30% in AI Speech and Text Processing by a Distributed Storage System
2022-09-06
Dongdong Lv
Note: This post was published on DZone.Unisound is an AI unicorn startup, specializing in speech recognition and artificial intelligence (AI) service…
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