Now that you’ve tried out Stable Diffusion on GKE Autopilot via the WebUI, you might be wondering how you’d go about adding stable diffusion as a proper micro-service that other components of your application can call. One popular way is via Ray. Let’s try this tutorial: Serve a StableDiffusion text-to-image model on Kubernetes, on GKE… Continue reading Serving Stable Diffusion with RayServe on GKE Autopilot
Tag: GPU
TensorFlow on GKE Autopilot with GPU acceleration
Last week, GKE announced GPU support for Autopilot. Here’s a fun way to try it out: a TensorFlow-enabled Jupyter Notebook with GPU-acceleration! We can even add state, so you can save your work between sessions. Autopilot makes all this really, really easy, as you can configure everything as a Kubernetes object. Update: this post is… Continue reading TensorFlow on GKE Autopilot with GPU acceleration