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

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

2025-02-07
Cong Ding
Learn how Lepton AI used JuiceFS to build a multi-tenant, low-latency cloud storage platform for AI training and inference.
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…
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