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What is NVIDIA GPU-Optimized AMI?

The NVIDIA GPU-Optimized AMI is a specialized virtual machine image crafted to optimize performance for GPU-accelerated tasks in fields such as Machine Learning, Deep Learning, Data Science, and High-Performance Computing (HPC). With this AMI, users can swiftly set up a GPU-accelerated EC2 virtual machine instance, which comes equipped with a pre-configured Ubuntu operating system, GPU driver, Docker, and the NVIDIA container toolkit, making the setup process efficient and quick. This AMI also facilitates easy access to the NVIDIA NGC Catalog, a comprehensive resource for GPU-optimized software, which allows users to seamlessly pull and utilize performance-optimized, vetted, and NVIDIA-certified Docker containers. The NGC catalog provides free access to a wide array of containerized applications tailored for AI, Data Science, and HPC, in addition to pre-trained models, AI SDKs, and numerous other tools, empowering data scientists, developers, and researchers to focus on developing and deploying cutting-edge solutions. Furthermore, the GPU-optimized AMI is offered at no cost, with an additional option for users to acquire enterprise support through NVIDIA AI Enterprise services. For more information regarding support options associated with this AMI, please consult the 'Support Information' section below. Ultimately, using this AMI not only simplifies the setup of computational resources but also enhances overall productivity for projects demanding substantial processing power, thereby significantly accelerating the innovation cycle in these domains.

What is Brev.dev?

Identify, provision, and establish cloud instances tailored for artificial intelligence applications through all stages of development, training, and deployment. Confirm that CUDA and Python are automatically installed, load your chosen model, and set up an SSH connection. Leverage Brev.dev to find a GPU and configure it for the purposes of model fine-tuning or training. This platform provides a consolidated interface that works with AWS, GCP, and Lambda GPU cloud services. Make the most of available credits while evaluating instances based on cost-effectiveness and availability. A command-line interface (CLI) is accessible to enhance your SSH configuration with a strong emphasis on security. Streamline your development journey with an optimized environment; Brev collaborates with cloud service providers to ensure competitive GPU pricing, automates the setup process, and simplifies SSH connections, allowing you to link your code editor with remote systems efficiently. You can easily adjust your instances by adding or removing GPUs or expanding hard drive space. Ensure that your environment is configured for reliable code execution and supports straightforward sharing or cloning of your setup. Decide whether to create a new instance from the ground up or utilize one of the numerous template options available in the console, which are designed for user convenience. Moreover, this adaptability empowers users to tailor their cloud environments to meet specific requirements, thereby enhancing the overall efficiency of the development workflow. As an added benefit, this customization capability promotes a more collaborative environment among team members working on shared projects.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
AWS Marketplace
Alpaca
Azure Marketplace
CUDA
Gaia
Google Cloud Platform
Lambda GPU Cloud
Llama 2
Lyzr
NVIDIA NGC
OpenAI
OpenLIT
Python
Stable Diffusion

Integrations Supported

Amazon Web Services (AWS)
AWS Marketplace
Alpaca
Azure Marketplace
CUDA
Gaia
Google Cloud Platform
Lambda GPU Cloud
Llama 2
Lyzr
NVIDIA NGC
OpenAI
OpenLIT
Python
Stable Diffusion

API Availability

Has API

API Availability

Has API

Pricing Information

$3.06 per hour
Free Trial Offered?
Free Version

Pricing Information

$0.04 per hour
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/marketplace/pp/prodview-7ikjtg3um26wq

Company Facts

Organization Name

NVIDIA

Company Location

United States

Company Website

brev.dev/

Categories and Features

Deep Learning

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

HPC

Categories and Features

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