Optimize AI workload performance on NVIDIA AI infrastructure
Overview
NVIDIA DGX™ Cloud Benchmarking is a suite of tools, recipes, and services that take the guesswork out of measuring performance of AI workloads and infrastructure. As an extension of NVIDIA DGX Cloud, DGX Cloud Benchmarking provides a standardized and objective means of gauging performance across platforms, essential to optimizing AI workloads and speeding outcomes.
Optimize AI workload performance on any NVIDIA infrastructure with DGX Cloud Benchmarking’s suite of tools, services, and recipes.
Using Performance Explorer, users can identify the ideal GPU count that minimizes both total training time and costs. The objective is to identify the right number of GPUs for a given workload that maximizes throughput and minimizes expenses—across projects and teams.
Get the most out of your AI workload environments, and unlock the full potential of your AI infrastructure with DGX Cloud Benchmarking.
Determine which platform can deliver the fastest time to train or desired GPU scale and at what cost using real-time and end-to-end performance data.
Tune and optimize your AI workloads according to end-to-end metrics tailored to the performance of modern generative AI applications.
Evaluate beyond the GPUs, including infrastructure software, cloud platforms, and application configurations, to gain a holistic view of workload performance.
Get a standardized and objective means of gauging platform performance, and understand the expected performance for given workloads or use cases.
Discover, procure, develop, customize, and deploy AI applications and other GPU-accelerated workloads across multiple cloud providers.
Explore the fully managed platforms and services that let you bring mission-critical workloads from develop to deploy in the era of agentic and physical AI.