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

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…
Conda + JuiceFS: Enhancing AI Development Environment Sharing

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

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

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 …
LLM Storage Selection & Detailed Performance Analysis of JuiceFS

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

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

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…
How Clobotics Overcame Multi-Cloud and Massive File Storage Challenges

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

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.