2025

StepFun Built an Efficient and Cost-Effective LLM Storage Platform with JuiceFS
07-31

INTSIG Built Unified Storage Based on JuiceFS to Support Petabyte-Scale AI Training
07-24

vivo Migrated from GlusterFS to a Distributed File System Built on JuiceFS
07-17

JuiceFS Community 1.3: Python SDK, Faster Backup, SQL & Windows Optimizations
07-09

Lustre vs. JuiceFS: A Comparative Analysis of Architecture, File Distribution, and Features
07-02

Deep Dive into JuiceFS Permission Management: Full Compatibility with Linux Security Mechanisms
06-26

JuiceFS 1.3 Beta 2 Integrates Apache Ranger for Fine-Grained Access Control
06-18

NFS to JuiceFS: Building a Scalable Storage Platform for LLM Training & Inference
06-11

JuiceFS Enterprise Edition 5.2: Supporting Hundreds of Billions of Files and Windows Clients
06-05

How JuiceFS 1.3 Backs Up 100 Million Files in Just Minutes
05-29

Introducing JuiceFS Python SDK: 3x Faster than FUSE for Data Loading
05-22

BioMap Cut AI Model Storage Costs by 90% Using JuiceFS​
05-15

​​JuiceFS 1.3 Beta: Enhanced Support for SQL Databases, a New Option for Billion-Scale Metadata Management​​
04-28

DeepSeek 3FS vs. JuiceFS: Architectures, Features, and Innovations in AI Storage
04-02

JuiceFS at Trip.com: Managing 10 PB of Data for Stable and Cost-Effective LLM Storage
03-13

How Lepton AI Cut Cloud Storage Costs by 98% for AI Workflows with JuiceFS
02-07

How JuiceFS Achieves Consistency and Low-Latency Data Distribution in Multi-Cloud Architectures
01-22

Automated Cache Management: JuiceFS Enterprise Edition Introduces Cache Group Operator
01-16

Tongcheng Travel Chose JuiceFS over CephFS to Manage Hundreds of Millions of Files
01-08