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Community Blog ACK Cloud Native AI Suite | Efficiently Scheduling Large Scale AI Big Data Tasks on Kubernetes

ACK Cloud Native AI Suite | Efficiently Scheduling Large Scale AI Big Data Tasks on Kubernetes

The third episode of ACK Cloud Native AI Suite series introduces how the ACK Cloud-Native AI suite efficiently schedules AI and big data tasks.

Welcome to Cloud Forward, where we go back to basics and talk about everything cloud-centric, from Infrastructure, Computing, Storage, Network, Security, to Database, AI, and Machine Learning.

In this series, we will talk about Alibaba Cloud's Cloud-Native AI Suite. Cloud-Native AI Suite is a Container Service for Kubernetes (ACK) solution powered by Cloud-Native AI technologies and products. The Cloud-Native AI Suite can help you fully utilize cloud-native architectures and technologies to quickly develop an AI-assisted production system in ACK. The Cloud-Native AI Suite also provides full-stack optimization for AI or machine learning applications and systems.


An increasing number of AI/big data applications seek to simplify management, enhance elasticity, and optimize resource utilization through containerization.

Kubernetes has become the de facto standard for container orchestration and scheduling. Leveraging Kubernetes' orchestration capabilities, applications aim for stable, efficient, and cost-effective resource utilization among various workloads.

When facing typical batch tasks like AI distributed training, how does Alibaba Cloud's ACK Cloud-Native AI suite meet diverse scheduling needs? How can it enhance task scheduling and resource utilization efficiency? For inference tasks, how does it boost task execution efficiency and cost optimization?

Hello and welcome to this episode of Cloud Forward. Today, this video will explain how the ACK Cloud-Native AI suite efficiently schedules AI and big data tasks.

Watch the videos below for a comprehensive understanding.


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Alibaba Container Service

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