Deploy your Serverless AI App in 10 Minutes with Code Engine
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Learn how to deploy a serverless AI model using Docker containers and Kubernetes in just 10 minutes. No front-end or back-end development knowledge required. Get free resources on IBM Cloud to experiment and share your AI app. Step-by-step guide using IBM Code Engine. Start now!
At a Glance
Do you want to deploy a serverless AI model like a software engineer using technologies such as Docker containers and Kubernetes? This guided project will show you how to deploy a text-generation app based on the large GPT2 model in 10 mins. On the one hand, this project does not require knowledge of front-end and back-end development. On the other hand, the model deployment comes at no cost! You get free resources on IBM Cloud to experiment with deploying the AI model you like and share the app.
In this project, we will show you step-by-step how to use IBM Code Engine to deploy your AI application on IBM Cloud. IBM Code Engine is a fully managed, serverless platform which provides an abstraction for the underlying infrastructure required to deploy your apps and lets you focus on the source code only (such as the Python code). The following picture shows an example of the text-generation model. On the left-hand side, the user provides a text prompt, which the GPT2 model will take as an input and return an output on the right-hand side. You can also access and play with the application here.
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