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

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

2025-01-08
Chuanhai Wei
Learn why China's leading travel service provider switched from CephFS to JuiceFS to efficiently manage hundreds of millions of files with simplified…
Tongcheng Travel Chose JuiceFS over CephFS to Manage Hundreds of Millions of Files

Conda + JuiceFS: Enhancing AI Development Environment Sharing

2024-12-18
Herald Yu
Learn how Conda and JuiceFS can simplify the process of sharing AI development environments across multiple machines.
Conda + JuiceFS: Enhancing AI Development Environment Sharing

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

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

LLM Storage Selection & Detailed Performance Analysis of JuiceFS

2024-10-23
Shaojie Li
Explore storage solutions for large language models, comparing JuiceFS performance with CephFS, Lustre, s3fs, Alluxio, and Cloud NAS.
LLM Storage Selection & Detailed Performance Analysis of JuiceFS

Hugging Face + JuiceFS: Simplifying Model Sharing Across Multiple Users and Nodes

2024-10-17
Herald Yu
Learn how to simplify model sharing across multiple users and nodes by using JuiceFS as the cache directory for Hugging Face Transformers.
Hugging Face + JuiceFS: Simplifying Model Sharing Across Multiple Users and Nodes

Training LLMs: Best Practices for Storing Thousands of Nodes in K8s

2024-10-09
Weiwei Zhu
Learn the best practices for training large language models in Kubernetes clusters with thousands of nodes. Explore how JuiceFS optimizes storage, en…
Training LLMs: Best Practices for Storing Thousands of Nodes in K8s

How Clobotics Overcame Multi-Cloud and Massive File Storage Challenges

2024-09-11
Jonnas
Clobotics, a global leader in computer vision technology, enhanced its storage infrastructure with JuiceFS, overcoming multi-cloud challenges and man…
How Clobotics Overcame Multi-Cloud and Massive File Storage Challenges

MiniMax Built a Cost-Effective, High-Performance AI Platform with JuiceFS

2024-09-02
Juicedata Team
Learn how MiniMax used JuiceFS Enterprise Edition to build a high-performance, cost-effective AI platform for foundation models.
MiniMax Built a Cost-Effective, High-Performance AI Platform with JuiceFS
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