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JuiceFS Enterprise Edition

How Gongjiyun Keeps Model Distribution Fast Enough for Cross-Cloud Elastic Inference

2026-06-10

Zhongziheng Xu

See how JuiceFS helps Gongjiyun deliver low‑latency, cache‑accelerated model access across clusters and clouds.

JuiceFS Enterprise 5.3: 500B+ Files per File System & RDMA Support

2026-02-04

Sandy

JuiceFS Enterprise Edition 5.3 is released! It supports 500 billion+ files in a single file system and introduces RDMA for efficient caching.

AI Data Storage: Challenges, Capabilities, and Comparative Analysis

2025-12-18

Rui Su

Dive into AI's new data patterns and essential storage capabilities. We compare Amazon S3, EFS, FSx for Lustre, Azure, GPFS, BeeGFS, and JuiceFS to h…

Achieving TB-Level Aggregate Bandwidth: How JuiceFS Optimized Distributed Cache Network

2025-09-18

Feihu Mo

Learn how JuiceFS Enterprise Edition 5.2 reduced CPU overhead by 50%+ and achieved 1.2 TB/s aggregate read bandwidth.

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

2025-06-05

Juicedata Team

JuiceFS Enterprise Edition 5.2 delivers breakthrough capabilities: hyperscale support for hundreds of billions of files, TiB-level aggregate bandwidt…

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

2025-01-22

Jerry Cai

Learn how JuiceFS Enterprise Edition enhances large-scale AI training by providing efficient cross-region synchronization, ensuring low-latency data …

Automated Cache Management: JuiceFS Enterprise Edition Introduces Cache Group Operator

2025-01-16

Xuhui Zhang

Learn how to install, configure, and manage cache groups using the JuiceFS Cache Group Operator with this step-by-step guide.

Database Release and End-to-End Testing: Bringing Modern Software Development Best Practices to the Data World

2024-12-04

Tao Ma

Learn how Jerry, a US technology company, uses ClickHouse database cloning with JuiceFS snapshots to enable effective end-to-end testing.

Deep Dive into JuiceFS Data Synchronization and Consistency in Multi-Cloud Architectures

2024-11-06

Juicedata Team

Learn how the JuiceFS mirror file system implements read and write operations, enabling efficient data synchronization and management in multi-cloud …

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