In this video, we will walk you through the workspaces feature of the AMD AI Workbench. The workspaces provide various interactive environments designed to support AMD compute. For example, JupyterLab and Visual Studio Code workspaces enable users to harness the power of the cluster with zero configuration on their local machines.In this demo, we will show you how to create and access a Visual Studio Code workspace. Let's take a look at how it works. The first step is to navigate to the workspaces page wher ...

In this video, we will walk you through how to deploy an AIM, short for AMD Inference Microservice AIMs are distributed as Docker images, making them easy to deploy and manage in various environments. AIMs provide a mechanism for automatically selecting tailored runtime parameters based on your input, hardware, and model specifications. We will guide you on how to deploy an AIM model on Kubernetes using helm charts.However, you can also deploy using, for example, Docker and KServe. See the documentation for ...

In this video, we will walk you through how to deploy an AMD Solution Blueprint. The Solution Blueprints are ready to deploy customizable reference applications covering a range of use cases, from standard chat interfaces to agentic frameworks that let you get started quickly. You can also build your own agentic applications using AMD Inference Microservices, AIMs, with many of the popular agentic frameworks.Or, you can use the available AMD Solution Blueprints. This demo will show you how to deploy a Solut ...