The demand for AI-powered workloads and the improvements in GPU technology have led to the evolution of serverless GPU infrastructure, offering cost-efficient solutions for AI applications. Serverless GPU platforms provide a flexible, pay-as-you-go model, ideal for projects with fluctuating workloads. Five prominent serverless GPU providers—Cerebrium, Replicate, RunPod, Baseten, and Modal—offer diverse features like minimal cold-start times, support for various AI applications, and simplified deployment processes. Cerebrium focuses on low-latency use cases with numerous GPU options, Replicate offers an extensive library of pre-trained models, RunPod supports Docker-based deployments with wide GPU variety, Baseten specializes in model serving with auto-scaling capabilities, and Modal provides a Python SDK for deploying GPU-accelerated functions. Each provider caters to specific needs, such as model serving, fine-tuning, video processing, CI/CD, batch processing, and event-driven computing, thereby enabling organizations to optimize their AI model deployment strategies effectively.