Learn how to achieve dramatically lower AI inference costs through a comprehensive benchmark comparison between Akamai Cloud's NVIDIA RTX 4000 Ada GPUs and AWS GPU instances. Discover the real-world performance metrics from running Stable Diffusion XL inference, including detailed analysis of latency, throughput, and cost-effectiveness across different cloud platforms. Explore the benchmark setup methodology and examine concrete results showing 86% lower inference costs, 63% reduced latency, and 314% higher throughput when using RTX 4000 GPUs compared to AWS A10G and T4 instances. Understand why infrastructure choices are critical for AI inference workloads, which represent over 80% of AI compute operations, and learn how to evaluate cost-per-outcome metrics for your AI applications. Gain insights into optimizing AI inference performance while significantly reducing operational expenses through strategic hardware and cloud provider selection.