This article discusses the ability to run AI inference applications on Google Cloud Run with NVIDIA GPUs. Key points include: 1) Cloud Run now supports NVIDIA GPUs, allowing developers to deploy AI inference applications with GPU acceleration. 2) GPUs can significantly speed up AI workloads like image recognition, natural language processing, and recommendation systems. 3) Cloud Run’s serverless and autoscaling capabilities make it easy to scale AI inference applications based on demand. 4) Developers can use popular AI frameworks like TensorFlow, PyTorch, and ONNX Runtime with Cloud Run’s GPU support. 5) Cloud Run’s pay-per-use billing model allows developers to only pay for the resources they use, making it cost-effective for AI workloads. 6) The article provides a step-by-step guide for deploying a TensorFlow image recognition application on Cloud Run with GPUs.