Benchmarking artificial intelligence software involves testing AI models' performance using standardized datasets and evaluation methods to determine which model is most efficient and effective at performing specific tasks. The goal is to compare different models fairly, but due to various technical and non-technical factors, direct comparisons can be difficult, which results in many model developers publishing "vanity metrics" that do little to help you understand which models are best suited for a particular use case.
In this book, we lay out a methodology for choosing the AI model that will give you the best performance for the least cost for your specific needs.
Neurometric provides engineering consulting services for AI hardware. We can work with CPUs, GPUs, and have unique and rare expertise in many of the new and novel AI hardware chips. If you are looking to benchmark your model against various types of compute, need help designing a new AI chip into your device, or want help implementing AI hardware in a new project, please fill out this form, or give us a call.
