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Community Blog Series Empowering AI with Fluid
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Empowering AI with Fluid

Explore the innovative applications and impact of Fluid, a cutting-edge technology based on JindoRuntime, through real-world case studies.

Alibaba Group's Practice of Accelerating Large Model Training Based on Fluid

This article discusses the significant role of Fluid with JindoCache in the large-scale model training within Alibaba Group.

KServe + Fluid Accelerates Big Model Inference

This article explores how to implement the KServe big model inference in Alibaba Cloud Container Service for Kubernetes (ACK).

Fluid Practice of HAOMO.AI: Cloud-Native AI Makes Cars "Smarter"

This article mainly discusses the application of HAOMO.AI's machine learning platform in autonomous driving scenarios.

Cloud-Native AI: Fluid + JindoFS Helps Improve the Speed of Model Training for Massive Small Files from Weibo by 18 Times

This article introduces a new architecture solution based on Fluid (containing JindoRuntime) designed and implemented by Weibo's technical teams.

Fluid Use Case: Efficient Information Retrieval Service under Compute-Storage Separation Environment in Zuoyebang

This article introduces the a Fluid use case in Zuoyebang.

Fluid with JindoFS: An Acceleration Tool for Alibaba Cloud OSS

This article introduces Fluid, an open source Kubernetes-native distributed dataset orchestrator and accelerator for data-intensive applications, and talks about the advantages of JindoRuntime.

Fluid Helps Improve Data Elasticity with Customized Auto Scaling

This article gives step-by-step instructions about auto scaling with Fluid.

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