This article explains why quantitative researchers prefer using Fluid to simplify data management and enhance efficiency on Kubernetes.
This article explores how to balance performance, stability, and consistency in data acceleration during the era of large models.
The article introduces the Fluid 1.0's new features and future plans.
This article introduces how to use Fluid and Vineyard for efficient intermediate data management in Kubernetes.
The fourth episode of ACK Cloud Native AI Suite series introduces Fluid, the data orchestration acceleration engine in the ACK Cloud-Native AI suite.
This article discusses the significant role of Fluid with JindoCache in the large-scale model training within Alibaba Group.
This article explains how to use Fluid to implement tiered affinity scheduling and configure custom affinity based on real scenarios.
Part 2 of this 5-part series discusses how to use ACK Fluid to enable elastic computing instances in the public cloud to access on-premises storage systems.
Part 3 of this 5-part series focuses on accelerating access to third-party storage, achieving better performance, lower costs, and reducing dependence on the stability of the leased line.
Part 5 of this 5-part series describes how to use the scheduled warm-up mechanism of ACK Fluid to update data accessible to compute clusters in different regions.
Part 4 of this 5-part series focuses on using ACK Fluid to implement Kubernetes-based mounting of third-party storage host directories.
This article explores how to implement the KServe big model inference in Alibaba Cloud Container Service for Kubernetes (ACK).
This article explores challenges faced by enterprises running AI and big data applications on Kubernetes, focusing on the decoupling of computing and storage architecture.
This article introduces the support of elastic quantitative investment and research of public cloud based on Fluid + JuiceFSRuntime.
This article uses AlluxioRuntime as an example to explain how to use Fluid to share a runtime.
This article uses AlluxioRuntime as an example to explain how to use Fluid to support SubDataset.
This article introduces a new architecture solution based on Fluid (containing JindoRuntime) designed and implemented by Weibo's technical teams.
This article mainly discusses the application of HAOMO.AI's machine learning platform in autonomous driving scenarios.
This article introduces the a Fluid use case in Zuoyebang.
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.
