Nvidia Benchmark Recipes Bring Deep Insights In Real-World AI Performance

As AI workloads and accelerated applications grow in sophistication and complexity, businesses and developers need better tools to assess their infrastructure’s ability to handle the demands of both training and inference more efficiently. To that end, Nvidia has been working on a set of performance testing tools, called DGX Cloud Benchmark Recipes, that are designed to help organizations evaluate how their hardware and cloud infrastructure perform when running the most advanced AI models available today. Our team at HotTech had a chance to kick the tires on a few of these recipes recently, and found the data they can capture to be extremely insightful.