Real-Time AI Inference at Scale Using Cloud Run, GPUs, and Vertex AI (opens in new tab)

Real-time AI inference has become a fundamental feature of modern applications and has been used to drive applications in conversational agents, recommendation engines, fraud detection, and computer vision pipelines. In contrast to batch workloads, real-time inference requires stable, low-latency, predictable scaling, and resource efficiency. With the increase in the size or the number of computations performed by models, it becomes more complicated to provide these experiences at a reliable ...