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ease
features
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support

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Description

All necessary infrastructure, computing resources, and software tools (such as Cuda and various frameworks) have been established for you to train and implement your preferred deep-learning models seamlessly. You can easily launch GPU or CPU instances right from your web browser or automate the process using our Python API for greater efficiency. This flexibility ensures that you can focus on model development without worrying about the underlying setup.

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

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS Marketplace
Amazon Web Services (AWS)
Azure Marketplace
CUDA
FastAPI
Gaia
Gradio
JupyterLab
NVIDIA NGC
OpenLIT
Python
Streamlit
Visual Studio Code

Integrations

AWS Marketplace
Amazon Web Services (AWS)
Azure Marketplace
CUDA
FastAPI
Gaia
Gradio
JupyterLab
NVIDIA NGC
OpenLIT
Python
Streamlit
Visual Studio Code

Pricing Details

$1,440 per month
Free Trial
Free Version

Pricing Details

$3.06 per hour
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

JarvisLabs.ai

Founded

2021

Country

India

Website

jarvislabs.ai/

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
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

HPC

Alternatives

Alternatives

NVIDIA NGC Reviews

NVIDIA NGC

NVIDIA