# Source: https://developer.nvidia.com/dgx-cloud.md

# NVIDIA DGX Cloud for Developers

NVIDIA DGX Cloud accelerates AI workloads in the cloud, supporting a variety of workloads including pretraining, fine-tuning, inference, and the deployment of physical and industrial AI applications.

[Get Started](#section-get-started &quot;Download Now&quot;)[Documentation](https://docs.nvidia.com/dgx-cloud/ &quot;Go to Documentation&quot;)

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## See a Part of DGX Cloud in Action 
[![Watch a video of how NVIDIA DGX Cloud Lepton works](https://developer.download.nvidia.com/images/dgx-cloud-services/demo-virtual-global-ai-factory-ari.jpg)](https://www.youtube.com/watch?v=ZnZumsCZ4pE&amp;t=4s &quot;Watch a video of how NVIDIA DGX Cloud Lepton works&quot;) 

NVIDIA DGX Cloud Lepton, now available for early access, provides an integrated platform for development (SSH, Jupyter, VS Code), training, fine-tuning (running batch jobs), and scalable inference (NVIDIA NIM™ endpoints).

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## How NVIDIA DGX Cloud Works

DGX Cloud offers a comprehensive suite of cloud-native solutions that include:

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**NVIDIA DGX Cloud Lepton** : Bring or discover compute from NVIDIA Cloud Partners (NCPs) and Cloud Service Providers (CSPs). Deploy across multiple clouds, decoupled from infrastructure, and focus on building apps from a single UI, using DGX Cloud Lepton’s integrated platform for development, training, fine-tuning, and scalable inference.
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**NVIDIA DGX Cloud for CSPs** : Build and fine-tune AI foundation models on scalable, optimized GPU infrastructure co-engineered with leading cloud providers, with flexible access to contiguous, preconfigured, high-performance clusters and the latest GPUs.
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**NVIDIA Cloud Functions (NVCFs)**: Scale deployment of AI workloads on a serverless AI inference platform that offers fully managed, auto-scaling, event-driven deployment across multiple clouds, on-prem, and existing compute environments. 
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**DGX Cloud Benchmarking** : Get detailed metrics on end-to-end AI workload performance, scaling efficiency, precision format impact, and multi-GPU behavior to help gauge what platform can deliver the fastest time-to-train and what GPU scale is required to achieve an outcome within a given time period.
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**NVIDIA Omniverse™ on DGX Cloud** : Deploy streaming applications for industrial digitalization and physical AI simulations on a fully managed platform, utilizing optimized NVIDIA L40 GPUs that deliver NVIDIA RTX™ rendering and low-latency streaming directly to Chromium-based browsers or custom web-based applications.
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**NVIDIA Cosmos™ Curator on DGX Cloud:** Fine-tune NVIDIA world foundation models with proprietary data, then manage the entire video data pipeline on DGX Cloud with fully GPU-accelerated pipelines for 89x faster processing and 11x higher throughput for captioning—accelerating AI development for robotics, AV, and video AI applications. 

 ![A diagram showing NVIDIA DGX Cloud solutions](https://developer.download.nvidia.com/images/dgx-cloud-services/how-nvidia-dgx-cloud-work.svg)

### NVIDIA DGX Cloud Lepton

Build or deploy AI applications across multi-cloud environments through a unified experience.

[Read Blog](https://developer.nvidia.com/blog/introducing-nvidia-dgx-cloud-lepton-a-unified-ai-platform-built-for-developers/)

### NVIDIA NeMo Curator on NVIDIA DGX Cloud 

NVIDIA DGX Cloud on CSPs  
Build and fine-tune models with a turnkey, full-stack optimized platform on leading cloud providers with flexible term lengths. 

[Watch Video](https://www.youtube.com/watch?v=Ua6xoP4Ign4&amp;t=2s)

### NVIDIA Cloud Functions

NVIDIA Cloud Functions (NVCF)   
Deploy AI workloads with auto-scaling, cost-efficient GPU utilization, and multi-cloud flexibility.

[Read Blog](https://developer.nvidia.com/blog/seamlessly-scale-ai-across-cloud-environments-with-nvidia-dgx-cloud-serverless-inference/)

### NVIDIA DGX Cloud Benchmarking

Benchmarking Service  
Follow evolving performance optimizations and workload-specific recipes to maximize AI infrastructure.

[Read Blog](https://developer.nvidia.com/blog/nvidia-dgx-cloud-introduces-ready-to-use-templates-to-benchmark-ai-platform-performance/)

### NVIDIA Omniverse on DGX Cloud

Scale deployment of streaming applications for industrial digitalization and physical AI simulation.

[Learn More About Omniverse on DGX Cloud](https://www.nvidia.com/en-us/data-center/omniverse-dgx-cloud/)

### NVIDIA Cosmos Curator on DGX Cloud

Efficiently process, fine-tune, and deploy video and world foundation models with DGX Cloud managed services.

[Read Blog](https://developer.nvidia.com/blog/petabyte-scale-video-processing-with-nvidia-nemo-curator-on-nvidia-dgx-cloud/)

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## Get Started With NVIDIA DGX Cloud 

Provision and operate environments optimized for AI training, fine-tuning, and inference on NVIDIA DGX Cloud.

 ![NVIDIA DGX Cloud Lepton](https://developer.download.nvidia.com/icons/m48-cloud-ai.svg)
### NVIDIA DGX Cloud Lepton

Tap into global GPU compute to discover, procure, develop, customize, and deploy AI applications across multiple cloud providers.

[Sign Up](https://developer.nvidia.com/dgx-cloud/get-lepton?ncid=no-ncid)

 ![NVIDIA DGX Cloud for CSPs](https://developer.download.nvidia.com/icons/m48-optimized-training.svg)
### NVIDIA DGX Cloud on CSPs

Access optimized accelerated computing clusters for AI training and fine-tuning on any leading cloud.

[Learn More About DGX Cloud on    CSPs](https://www.nvidia.com/en-us/data-center/dgx-cloud-on-csps/?ncid=no-ncid)

 ![NVIDIA Cloud Functions](https://developer.download.nvidia.com/images/dgx-cloud-services/scalable-ai.svg)
### NVIDIA Cloud Functions

Easily package, deploy, and scale inference pipelines or data preprocessing workflows in containers optimized for NVIDIA GPUs.

[Learn More About NVCF](https://developer.nvidia.com/dgx-cloud/serverless-inference)

 ![NVIDIA DGX Cloud Benchmarking](https://developer.download.nvidia.com/icons/m48-cloud-performance.svg)
### NVIDIA DGX Cloud Benchmarking   

Access benchmarking recipes, tools, and services to identify AI workload performance gaps and optimize any NVIDIA AI infrastructure.

[Learn More About DGX Cloud Benchmarking](https://developer.nvidia.com/dgx-cloud/benchmarking)

 ![NVIDIA Omniverse on DGX Cloud](https://developer.download.nvidia.com/icons/m48-foundational-model-dexterity-256px-blk.svg)
### NVIDIA Omniverse on DGX Cloud  

Scale deployment of streaming applications for industrial digitalization and physical AI simulations on one fully managed platform.

[Learn More About Omniverse on DGX Cloud](https://www.nvidia.com/en-us/data-center/omniverse-dgx-cloud/)

 ![NVIDIA Cosmos Curator on NVIDIA DGX Cloud](https://developer.download.nvidia.com/icons/model-customization.svg)
### NVIDIA Cosmos Curator on NVIDIA DGX Cloud

Efficiently process, fine-tune, and deploy world foundation models on a managed platform for large-scale video curation and model customization.

[Explore GitHub](https://github.com/nvidia-cosmos/cosmos-curate)

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## NVIDIA DGX Cloud Starter Kits

Start experimenting on [build.nvidia.com](http://build.nvidia.com), accelerated by DGX Cloud, or download [DGX Cloud Benchmarking recipes](https://github.com/NVIDIA/dgxc-benchmarking) to optimize your workload on NVIDIA GPUs.

### AI Development, Customization, and Deployment Across Clouds

DGX Cloud Lepton enables GPU provisioning in specific regions and supports the full AI development lifecycle, including training, fine-tuning, and inference across multi-cloud environments.

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Read [Introducing NVIDIA DGX Cloud Lepton: A Unified AI Platform Built for Developers](https://developer.nvidia.com/blog/introducing-nvidia-dgx-cloud-lepton-a-unified-ai-platform-built-for-developers/)

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Read [How to Build AI Systems In House With Outerbounds and DGX Cloud Lepton](https://developer.nvidia.com/blog/how-to-build-ai-systems-in-house-with-outerbounds-and-dgx-cloud-lepton/)

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[Request DGX Cloud Lepton Trial](https://www.developer.nvidia.com/dgx-cloud/get-lepton)

### Multi-Node AI Training and Fine-Tuning Platform

With DGX Cloud Create, take cloud-native AI training to leading clouds with the latest NVIDIA AI architecture and software.

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[Watch NVIDIA Run:ai on DGX Cloud Demo](https://resources.nvidia.com/en-us-dgx-cloud/dgx-cloud-with-run-ai-demo)

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[Explore Technical Overview](https://docs.nvidia.com/dgx-cloud/run-ai/latest/overview.html)

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[Request DGX Cloud on CSP Marketplaces](https://www.nvidia.com/en-us/data-center/dgx-cloud/trial/)

### Auto-Scaled Deployment on NVIDIA GPUs

Package and deploy inference pipelines or data preprocessing workflows in containers optimized for NVIDIA GPUs,without worrying about underlying infrastructure.

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Read [NCVF Quickstart Guide](https://docs.nvidia.com/cloud-functions/user-guide/latest/cloud-function/quickstart.html)

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Watch [NVCF Cluster Registration and NVIDIA NIM Deployment](https://youtu.be/RGHxx9h0zNM?si=2687xqitZYm-_Z2W )

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[Request NVCF Trial](https://developer.nvidia.com/get-nvcf)

### NVIDIA DGX Cloud Benchmarking for AI Workloads

Produce AI training and inference performance results from a range of AI models, including Llama and DeepSeek, with recipes provided by DGX Cloud Benchmarking.

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Read [NVIDIA DGX Cloud Introduces Ready-To-Use Templates to Benchmark AI Platform Performance](https://developer.nvidia.com/blog/nvidia-dgx-cloud-introduces-ready-to-use-templates-to-benchmark-ai-platform-performance/)

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[Review Recipe on GitHub](https://github.com/NVIDIA/dgxc-benchmarking)

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[Access NVIDIA DGX Cloud Benchmarking](https://developer.nvidia.com/dgx-cloud/benchmarking/join)

### Scalable Deployment of Streamed Applications for Physical AI

Stream OpenUSD applications and digital twins directly on NVIDIA Omniverse from a fully man

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Read [Deploying Your Omniverse Kit Apps at Scale](https://developer.nvidia.com/blog/deploying-your-omniverse-kit-apps-at-scale/)

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Access [Omniverse on DGX Cloud via Microsoft Azure Marketplace](https://azuremarketplace.microsoft.com/en-us/marketplace/apps/nvidia.dgx-cloud?tab=Overview)

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Learn [Building AI-Powered Material Generation for Omniverse With DGX Cloud](https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-OV-53+V1)

### Large-Scale Video Curation

Efficiently process, fine-tune, and deploy video and [world foundation models](https://www.nvidia.com/en-us/glossary/world-models/) with NVIDIA Cosmos Curator accelerated by NVIDIA DGX Cloud.

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Read [Petabyte-Scale Video Processing With NVIDIA Cosmos Curator On NVIDIA DGX Cloud](https://developer.nvidia.com/blog/petabyte-scale-video-processing-with-nvidia-nemo-curator-on-nvidia-dgx-cloud/)

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Explore [Physical AI With NVIDIA Cosmos: Post-Training for Autonomous Vehicles With Uber&#39;s Large-Scale Driving Data](https://resources.nvidia.com/en-us-dgx-cloud/physical-ai-post-training-for-autonomous-vehicles-with-ubers-large-scale-driving-data-using-nvidia-cosmos)

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[Access Cosmos Repository](https://github.com/nvidia-cosmos/cosmos-curate)

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## DGX Cloud Learning Library

Video 

### AI Model Building on Orchestrated GPU Clusters

**NVIDIA DGX Cloud for CSPs**    
  
Learn how DGX Cloud for CSPs provides the resources and orchestration for developing and building AI pipelines and managing the AI lifecycle for model training and fine-tuning.

Tech Blog 

### How to Build Large AI Systems In House

**NVIDIA DGX Cloud Lepton **  
  
See how a large-scale Reddit Agent recommender application demonstrates the benefits of operating a production-grade AI system stack in house.

Research 

### Post-Training for Autonomous Vehicles With Large-Scale Data

**NVIDIA Cosmos Curator on DGX Cloud**  
  
Explore how NVIDIA and Uber built a system and process to produce post-trained Cosmos-AV models for autonomous driving development using NVIDIA Cosmos Curator on DGX Cloud.

Training 

### Build AI-Powered Material Generation 

**NVIDIA Omniverse on DGX Cloud**  
   
Learn how to create an NVIDIA Omniverse extension on DGX Cloud that uses AI to generate realistic 3D materials from natural language descriptions.

Video 

### NVCF Cluster Registration and NVIDIA NIM Deployment

**NVIDIA Cloud Functions (NVCF) **  
  
See NVCF in action by registering a Kubernetes cluster into NVCF, deploying an NVIDIA NIM onto the provisioned cluster and then running inference against it.

Tech Blog 

### Ensuring Reliable Model Training on NVIDIA DGX Cloud

**NVIDIA DGX Cloud for CSPs **  
  
Learn resiliency training techniques applied to NVIDIA Llama Nemotron and other foundation models that achieved \&lt;1% hardware downtime for training runs at the 2K–10K GPU scale.

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## More Resources

 ![NVIDIA DGX Cloud Serverless Inference FAQ](https://developer.download.nvidia.com/icons/m48-misc-question-faq.svg)
### Read NVIDIA Cloud Functions FAQ

 ![NVIDIA Training and Certification](https://developer.download.nvidia.com/images/isaac/m48-certification-ribbon-2-256px-blk.png)
### Get Training and Certification  

 ![NVIDIA Inception Program for Startups](https://developer.download.nvidia.com/icons/m48-developer-1.svg)
### Join the NVIDIA Developer Program

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## Ethical AI   

NVIDIA believes trustworthy AI is a shared responsibility, and we have established policies and practices to support the development of AI across a wide array of applications. When downloading or using this model 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 &amp; Security, and Privacy Subcards. Please report security vulnerabilities or NVIDIA AI Concerns [here](https://www.nvidia.com/en-us/support/submit-security-vulnerability/).

## Get started with NVIDIA DGX Cloud today.

[Get Started](https://www.nvidia.com/en-us/data-center/dgx-cloud/trial/)