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.
Model training is a critical step in deep learning, and the training tasks of complex models often require a significant amount of time and computational resources.
As the demand for computational power in model training increases, single-machine deployments are no longer sufficient, making distributed model training an inevitable trend. However, traditional distributed deep learning tasks cannot dynamically adjust the number of Workers during runtime.
At the same time, the cost of AI model training continues to rise, and cost savings have gradually become a key proposition across various industries.
How can the number of Workers of distributed training tasks be dynamically adjusted during model training? How can training tasks be endowed with elasticity? How can the cost of AI distributed training tasks be reduced?
Hello and welcome to this episode of Cloud Forward. Today, let's explore how to perform large-scale distributed elastic training based on the ACK Cloud-Native AI suite.
Watch the videos below for a comprehensive understanding.
Learn more:
ACK Cloud Native AI Suite | Elastic Acceleration of Generative AI Model Inference with Fluid
ACK Cloud Native AI Suite | Training and Inference of Open-Source Large Models on Kubernetes
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