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Average Ratings 0 Ratings
Description
NVIDIA DGX Cloud Lepton is an advanced AI platform that facilitates connections for developers to a worldwide network of GPU computing resources across various cloud providers, all through a singular interface. It provides a cohesive experience for discovering and leveraging GPU capabilities, complemented by integrated AI services that enhance the deployment lifecycle across multiple cloud environments. With immediate access to NVIDIA's accelerated APIs, developers can begin their projects using serverless endpoints and prebuilt NVIDIA Blueprints, along with GPU-enabled computing. When scaling becomes necessary, DGX Cloud Lepton ensures smooth customization and deployment through its expansive global network of GPU cloud providers. Furthermore, it allows for effortless deployment across any GPU cloud, enabling AI applications to operate within multi-cloud and hybrid settings while minimizing operational complexities, and it leverages integrated services designed for inference, testing, and training workloads. This versatility ultimately empowers developers to focus on innovation without worrying about the underlying infrastructure.
Description
The NVIDIA GPU-Optimized AMI serves as a virtual machine image designed to enhance your GPU-accelerated workloads in Machine Learning, Deep Learning, Data Science, and High-Performance Computing (HPC). By utilizing this AMI, you can quickly launch a GPU-accelerated EC2 virtual machine instance, complete with a pre-installed Ubuntu operating system, GPU driver, Docker, and the NVIDIA container toolkit, all within a matter of minutes.
This AMI simplifies access to NVIDIA's NGC Catalog, which acts as a central hub for GPU-optimized software, enabling users to easily pull and run performance-tuned, thoroughly tested, and NVIDIA-certified Docker containers. The NGC catalog offers complimentary access to a variety of containerized applications for AI, Data Science, and HPC, along with pre-trained models, AI SDKs, and additional resources, allowing data scientists, developers, and researchers to concentrate on creating and deploying innovative solutions.
Additionally, this GPU-optimized AMI is available at no charge, with an option for users to purchase enterprise support through NVIDIA AI Enterprise. For further details on obtaining support for this AMI, please refer to the section labeled 'Support Information' below. Moreover, leveraging this AMI can significantly streamline the development process for projects requiring intensive computational resources.
API Access
Has API
Yes
API Access
Has API
No
Integrations
AWS Marketplace
No
Amazon Web Services (AWS)
No
Azure Marketplace
No
CoreWeave
Yes
Crusoe
Yes
Fluidstack
Yes
Foundry
Yes
Gaia
No
HYDRA Software
Yes
Lambda
Yes
Integrations
AWS Marketplace
Yes
Amazon Web Services (AWS)
Yes
Azure Marketplace
Yes
CoreWeave
No
Crusoe
No
Fluidstack
No
Foundry
No
Gaia
Yes
HYDRA Software
No
Lambda
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
$3.06 per hour
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
Yes
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
NVIDIA
Founded
1993
Country
United States
Website
www.nvidia.com/en-us/data-center/dgx-cloud-lepton/
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/marketplace/pp/prodview-7ikjtg3um26wq
Product Features
Product Features
Deep Learning
Convolutional Neural Networks
No
Document Classification
No
Image Segmentation
No
ML Algorithm Library
No
Model Training
No
Neural Network Modeling
No
Self-Learning
No
Visualization
No