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How JuiceFS Boosts Foundation Model Inference in Multi-Cloud Architectures

How JuiceFS Boosts Foundation Model Inference in Multi-Cloud Architectures
2024-08-29
Changjian Gao
Learn how JuiceFS Enterprise Edition enhances foundation model inference in multi-cloud setups by accelerating data access, optimizing model data dis…
Enhancing AI Training Workflows with JuiceFS

Enhancing AI Training Workflows with JuiceFS
2024-08-27
Juicedata Team
JuiceFS boosts AI training workflows with scalable storage, high-performance data handling, and seamless POSIX integration.
Metabit Trading Built a Cloud-Based Quantitative Research Platform with JuiceFS

Metabit Trading Built a Cloud-Based Quantitative Research Platform with JuiceFS
2024-08-14
Jianhong Li
Metabit Trading, an AI-based quantitative investment firm, used JuiceFS to build a cloud-based quantitative research platform. Learn how JuiceFS impr…
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 Storage to AI: Evolution and Performance Evaluation of File Systems

From HPC Storage 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.