NVIDIA DGX Cloud Benchmarking
NVIDIA DGX? Cloud Benchmarking gauges training and inference performance across AI workloads and platforms, accounting for chips, cloud platforms, and application configurations.
How NVIDIA DGX Cloud Benchmarking Works
NVIDIA DGX Cloud Benchmarking analyzes real-time metrics across GPU configurations and environments, with ready-to-use benchmarking templates and on-demand benchmarking for custom workloads. Baseline performance results for comparison are provided via interactive dashboards.
Specifications:
- Scaling analysis from 8 to 2,048 GPUs
- Precision comparisons: FP8 versus BF16
- Support for popular AI frameworks and models
- Performance data across NVIDIA NeMo? framework versions

Example of improved metrics gained over time derived from NVIDIA DGX Cloud Benchmarking results.
Introductory Blog
NVIDIA DGX Cloud introduces ready-to-use templates and recipes to benchmark AI platform performance.
Read BlogBenchmark Recipes
The Benchmarking Collection provides an easy path to reproduce the latest performance results for deep learning workloads.
Explainer Blog
Discover how NVIDIA DGX Cloud Benchmarking accurately measures performance in real-world environments and identifies optimization opportunities in AI training and inference workloads.
Read BlogGet Started With NVIDIA DGX Cloud Benchmarking
Benchmark AI Workloads
Understand end-to-end platform performance and learn best practices for cluster sizing and workload optimization with NVIDIA DGX Cloud Benchmarking.
Benchmarking Recipes
Deploy ready-to-use benchmarking templates across any cloud platform. Leverage NVIDIA’s performance baselines to compare expected performance across precisions and scales.
NVIDIA DGX Cloud Benchmarking Starter Kits
See how well your own environment performs: log into NGC; select a model; download the container, benchmarking recipes, and dataset scripts; and launch to obtain throughput results.
Benchmark Recipe for Meta Llama 3.1 70B
Understand end-to-end platform performance and learn best practices for cluster sizing and workload optimization with DGX Cloud Benchmarking.
Benchmark Recipe for NVIDIA NeMo Megatron
This recipe contains information and scripts to produce training performance results of the NVIDIA NeMo Megatron workload.
Benchmark Recipe for xAI Grok-1 314B
This recipe contains information and scripts to produce performance results for the Grok1 314B training workload.
NVIDIA DGX Cloud Benchmarking Learning Library
More Resources
Ethical AI
NVIDIA believes Trustworthy AI is a shared responsibility, and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their supporting model team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse.
For more detailed information on ethical considerations for this model, please see the Model Card++ Explainability, Bias, Safety & Security, and Privacy Subcards. Please report security vulnerabilities or NVIDIA AI Concerns here.
Get started with DGX Cloud Benchmarking today