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Multi-cloud storage

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 at Xiaomi: Unified Storage for AI, Big Data, and Cloud‑Native Workloads

2026-05-27

Chengwei Wang

Dive into Xiaomi's JuiceFS implementation: multi‑protocol, multi‑cloud, and three storage layers (capacity, performance, and cache).

How D-Robotics Manages Massive Small Files in a Multi-Cloud Environment with JuiceFS

2026-03-05

Han Zhao

D-Robotics, an AI robotics company, shares how JuiceFS solves massive small file metadata bottlenecks and multi-cloud data synchronization challenges…

Building AI Inference with JuiceFS: Supporting Multi-Modal Complex I/O, Cross-Cloud, and Multi-Tenancy

2025-10-23

Shaojie Li

Learn how JuiceFS addresses AI inference storage challenges: multi-modal I/O, cross-cloud deployment, and multi-tenancy.

Zelos Tech Manages Hundreds of Millions of Files for Autonomous Driving with JuiceFS

2025-10-09

Junyu Deng

Zelos Tech, a global leader in autonomous driving, chose JuiceFS to overcome petabyte-scale storage challenges in multi-cloud environments.

Why Gaoding Technology Chose JuiceFS for AI Storage in a Multi-Cloud Architecture

2025-09-03

Jia Ke

Learn how Gaoding Technology, a visual-design company, used JuiceFS to build a scalable, high-performance AI storage system in a multi-cloud architec…

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 …

Hai Robotics Achieved High Availability & Easy Operations in a Hybrid Cloud Architecture with JuiceFS

2024-11-27

Sendong Wu

Learn how Hai Robotics transformed its simulation platform for warehouse robotics with JuiceFS, achieving high availability, simplified operations, a…

TAL: Building a Low-Operation Model Repository Based on JuiceFS in a Multi-Cloud Environment

2024-11-21

Longhua He

TAL, a leading smart learning solution provider, uses JuiceFS for an efficient, low-maintenance model repository supporting multi-cloud LLM training …

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