# NVIDIA Exemplar Cloud

Setting a new bar for AI workload performance across clouds.

[Contact Us](#contact-us)

Overview

## Predictable AI Performance at Scale

NVIDIA Exemplar Cloud seeks to improve performance per TCO for all cloud providers with hardware and software recipes, references, tools, and capabilities that solve infrastructure challenges across key metrics, including workload performance, security, and reliability. The initiative leverages [NVIDIA Performance Benchmarking](https://www.nvidia.com/en-us/data-center/dgx-cloud-benchmarking.md) recipes to establish standardized benchmarks for AI workload performance across the cloud provider ecosystem. This ensures consistent, high-quality GPU performance for end users, helping to drive consumption, improve marketability, and strengthen NVIDIA’s relationships with cloud providers.

### Exemplar Cloud for Benchmarking AI Cloud Infrastructure

Learn how NVIDIA is setting new standards for AI cloud performance and transparency with open, real-world benchmarking.

[Read the Blog](https://developer.nvidia.com/blog/announcing-nvidia-exemplar-clouds-for-benchmarking-ai-cloud-infrastructure/)

### Learn About NVIDIA Performance Benchmarking

Benchmark and optimize AI workload performance across clouds using real-world data and tools.

[Explore Now](https://www.nvidia.com/en-us/data-center/performance-benchmarking.md)

Benefits

## AI Workload Performance

### Transparent and Standard Benchmarking

Exemplar Cloud helps customers align with transparent and standardized benchmarking, so they can compare cloud AI infrastructure based on real workload performance and total cost of ownership.

### Support Through the Debugging and Improvement Process

Cloud providers can work together with NVIDIA to assess workload performance, debug hardware, software, and platform issues, and implement improvements.

### Infrastructure Optimized for AI Workload Performance

Providers can use Exemplar Cloud to drive highly tuned and optimized cloud infrastructure, differentiating themselves with superior AI workload performance across training, fine-tuning, and inferencing.

### Collaboration on Workload and Infrastructure Best Practices

With Exemplar Cloud, NVIDIA and the provider community can drive advancements in platform consistency, TCO optimization, and customer trust by making performance results public and building a transparent, trusted ecosystem.

Partners

## Exemplar Cloud Providers

Exemplar Cloud providers have collaborated with NVIDIA to optimize their infrastructure to ensure their customers’ workloads will be performant, secure, and reliable, based on real-world workload and TCO metrics. Cloud providers who achieve the metrics-based threshold can become an NVIDIA Exemplar Cloud.

Next Steps

## Ready to Get Started?

Unlock AI benchmarking insights by connecting with NVIDIA to optimize and accelerate your projects.

[Contact Us](#contact-us)

### NVIDIA Performance Benchmarking Recipes

Explore ready-to-use templates for evaluating performance of specific AI use cases across hardware and software combinations.

[Get Recipes](https://github.com/NVIDIA/dgxc-benchmarking)

### Discover NVIDIA DSX OS

Operate AI clouds reliably and efficiently at scale with a portfolio of open, modular infrastructure software components.

[Get Docs](https://docs.nvidia.com/dsx/home#dsx-os)

## Contact Us

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