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Average Ratings 0 Ratings
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.
Description
NVIDIA GRID® Virtual PC (GRID vPC) and Virtual Apps (GRID vApps) offer advanced virtualization solutions that create a user experience closely resembling that of a traditional PC. By utilizing server-side graphics along with extensive monitoring and management features, GRID ensures that your Virtual Desktop Infrastructure (VDI) remains relevant and efficient for future developments. This technology provides GPU acceleration to every virtual machine (VM) in your organization, facilitating an exceptional user experience while allowing your IT staff to focus on achieving business objectives and strategic initiatives. As work environments transition, whether at home or in the office, the demands of modern applications continue to escalate, requiring significantly enhanced graphics capabilities. Real-time collaboration tools like MS Teams and Zoom are essential for remote teamwork, but today’s workforce also often relies on multiple monitors to manage various applications at once. With NVIDIA vPC, organizations can effectively meet the evolving demands of the digital landscape, ensuring productivity and versatility in their operations. Ultimately, GPU acceleration with NVIDIA vPC is key to adapting to the fast-paced changes in how we work today.
API Access
Has API
API Access
Has API
Integrations
AWS Marketplace
Amazon Web Services (AWS)
Azure Marketplace
Cisco Prime Network
Gaia
NVIDIA NGC
OpenLIT
Integrations
AWS Marketplace
Amazon Web Services (AWS)
Azure Marketplace
Cisco Prime Network
Gaia
NVIDIA NGC
OpenLIT
Pricing Details
$3.06 per hour
Free Trial
Free Version
Pricing Details
No price information available.
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
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/marketplace/pp/prodview-7ikjtg3um26wq
Vendor Details
Company Name
NVIDIA
Founded
1993
Country
United States
Website
www.nvidia.com/en-us/data-center/virtual-pc-apps/
Product Features
Deep Learning
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization
Product Features
Application Virtualization
Conflict Prevention
Cross-Platform Support
Dashboard
Debugging
Incident Management
Legacy App Support
Memory Protection
Multiple App Instances