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vivo Migrated from GlusterFS to a Distributed File System for AI Training

vivo Migrated from GlusterFS to a Distributed File System for AI Training
2024-07-18
Yige Peng
Learn why vivo's AI training platform switched from GlusterFS to a cloud-native high-performance file system.
iSEE Lab Stores 500M+ Files on JuiceFS Replacing NFS

iSEE Lab Stores 500M+ Files on JuiceFS Replacing NFS
2024-07-03
Guohao Xu
Explore how Sun Yat-sen University's iSEE Lab addressed deep learning data storage challenges using JuiceFS and TiKV, enhancing system performance an…
Beike Loads AI Models 20x Faster with Hybrid Cloud Storage

Beike Loads AI Models 20x Faster with Hybrid Cloud Storage
2024-06-26
Tianqing Wang
Learn how Beike, China's leading integrated online and offline housing platform, accelerated AI model loading by 20x using hybrid cloud storage.
From HPC to AI: Evolution and Performance Evaluation of File Systems

From HPC to AI: Evolution and Performance Evaluation of File Systems
2024-05-23
Weizheng Lu
Renmin University of China evaluated Lustre, Alluxio, and JuiceFS for AI storage, with benchmarking results in handling large-scale datasets.
LLM Storage: Performance, Cost, and Multi-Cloud Architecture

LLM Storage: Performance, Cost, and Multi-Cloud Architecture
2024-04-09
Rui Su
Learn how JuiceFS tackles challenges in large language model storage, balancing performance and cost and solving issues in multi-cloud environments.
How Zhihu Ensures Stable Storage for LLM Training in Multi-Cloud Architecture

How Zhihu Ensures Stable Storage for LLM Training in Multi-Cloud Architecture
2024-04-03
Xin Wang
Learn how Zhihu, China’s Quora, ensures stable LLM training and seamless petabyte-scale data migration across clouds with JuiceFS.
98% GPU Utilization Achieved in 1k GPU-Scale AI Training Using Distributed Cache

98% GPU Utilization Achieved in 1k GPU-Scale AI Training Using Distributed Cache
2024-03-07
Feihu Mo
Learn how JuiceFS achieved over 98% GPU utilization in 1,000 GPU-scale AI training using distributed cache.
BentoML Reduced LLM Loading Time from 20+ to a Few Minutes with JuiceFS

BentoML Reduced LLM Loading Time from 20+ to a Few Minutes with JuiceFS
2024-02-29
Xipeng Guan
Learn how BentoML, a platform for building LLM AI apps, accelerates model loading using JuiceFS in a serverless environment.
coScene Chose JuiceFS over Alluxio to Tackle Object Storage Drawbacks

coScene Chose JuiceFS over Alluxio to Tackle Object Storage Drawbacks
2024-01-24
Juchao Song
As a multimodal scene data platform in the AI robotics industry, coScene chose JuiceFS over Alluxio to tackle object storage limitations.