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What is NVIDIA Virtual PC?

NVIDIA GRID® Virtual PC (GRID vPC) and Virtual Apps (GRID vApps) deliver cutting-edge virtualization solutions that mimic the experience of a conventional PC. By harnessing server-side graphics along with comprehensive monitoring and management tools, GRID guarantees that your Virtual Desktop Infrastructure (VDI) stays modern and effective as technologies evolve. This innovative approach provides GPU acceleration to each virtual machine (VM) within your organization, enhancing user experience and enabling IT teams to concentrate on fulfilling business goals and strategic priorities. As workplace dynamics shift, whether in remote settings or traditional offices, the need for advanced graphics capabilities grows increasingly urgent. Essential collaboration platforms such as MS Teams and Zoom facilitate remote teamwork, while today’s employees often depend on multiple monitors to juggle various applications simultaneously. With the implementation of NVIDIA vPC, businesses can adeptly navigate the changing demands of the digital era, promoting both productivity and adaptability in their workflows. Furthermore, the integration of GPU acceleration through NVIDIA vPC proves crucial for navigating the rapid transformations occurring in our work environments today, preparing organizations to thrive in a competitive landscape.

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.

Media

Media

Integrations Supported

Cisco Prime Network

Integrations Supported

AWS Marketplace
Amazon Web Services (AWS)
Azure Marketplace
Gaia
NVIDIA NGC
OpenLIT

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

$3.06 per hour

Supported Platforms

Windows

Supported Platforms

Windows
Linux

Customer Service / Support

Standard Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

www.nvidia.com/en-us/data-center/virtual-pc-apps/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

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

Categories and Features

Application Virtualization

Conflict Prevention
Dashboard
Debugging
Incident Management
Memory Protection
Multiple App Instances

Categories and Features

AI Infrastructure

Not specified

Cloud GPU

Not specified

Deep Learning

Not specified

HPC

Not specified

Neural Network

Not specified

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