ACK Cloud Native AI Suite | Training and Inference of Open-Source Large Models on Kubernetes

The sixth episode of ACK Cloud Native AI Suite series introduces how to train and infer open-source foundation models based on the ACK Cloud-Native AI suite.

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.

Efficiently deploying foundation model inference services in a Kubernetes cluster poses many engineering challenges.

For example, how to quickly deploy inference services? How to ensure resources can handle fluctuating visits once the service is online? How to conduct high-performance, low-latency, and elastic scalable foundation model inference at a lower cost?

Hello and welcome to this episode of Cloud Forward. Today, we will talk about how to train and infer open-source foundation models based on the ACK Cloud-Native AI suite.

Watch the videos below for a comprehensive understanding.

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ACK Cloud Native AI Suite | Training and Inference of Open-Source Large Models on Kubernetes

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