In this blog, you will learn how to use AMD AI Workbench, an easy to use graphical user interface (GUI) with command-line interface (CLI) support for running and managing AI workloads. It’s part of the AMD Enterprise AI Suite, a full-stack solution for developing, deploying and running AI workloads on a Kubernetes platform designed to support AMD compute. AMD AI Workbench is designed to offer AI developers accelerated end-to-end AI development, from experimentation to production deployment.
This blog walks you through these capabilities, specifically covering:
How to deploy an AIM and use the AMD AI Workbench interface to interact with it
How to create and access a VS Code workspace within AMD AI Workbench
How to connect to the deployed AIM from the VS Code workspace via the OpenAI-compatible API
Experiment with the deployed AIM and VS Code workspace to test model capabilities
Read the Blog here: