Evaluating Model Performance Across Clouds

In the context of increasing interest in self-hosted open-source models for sensitive sectors like healthcare and legal, an automated benchmarking script developed by Shadeform in collaboration with Langfuse offers a streamlined approach to evaluate the performance of these models across different cloud environments. This tool is particularly valuable for companies seeking to maintain data control and customization without prohibitive costs, as it allows them to test various clouds, including major hyperscalers and emerging AI-focused options, on metrics like latency and throughput. The benchmarking process involves deploying a script across multiple cloud platforms, running tests with specific models, and analyzing results through a user-friendly interface, thus facilitating informed decisions on the most suitable cloud deployment for their needs.