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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 NGC?

NVIDIA GPU Cloud (NGC) is a cloud-based platform that utilizes GPU acceleration to support deep learning and scientific computations effectively. It provides an extensive library of fully integrated containers tailored for deep learning frameworks, ensuring optimal performance on NVIDIA GPUs, whether utilized individually or in multi-GPU configurations. Moreover, the NVIDIA train, adapt, and optimize (TAO) platform simplifies the creation of enterprise AI applications by allowing for rapid model adaptation and enhancement. With its intuitive guided workflow, organizations can easily fine-tune pre-trained models using their specific datasets, enabling them to produce accurate AI models within hours instead of the conventional months, thereby minimizing the need for lengthy training sessions and advanced AI expertise. If you're ready to explore the realm of containers and models available on NGC, this is the perfect place to begin your journey. Additionally, NGC’s Private Registries provide users with the tools to securely manage and deploy their proprietary assets, significantly enriching the overall AI development experience. This makes NGC not only a powerful tool for AI development but also a secure environment for innovation.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Cisco Prime Network
Domino Enterprise MLOps Platform
NVIDIA GPU-Optimized AMI
Nutanix Enterprise AI
PyTorch
TensorFlow

Integrations Supported

Amazon Web Services (AWS)
Cisco Prime Network
Domino Enterprise MLOps Platform
NVIDIA GPU-Optimized AMI
Nutanix Enterprise AI
PyTorch
TensorFlow

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

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

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

ngc.nvidia.com

Categories and Features

Application Virtualization

Conflict Prevention
Cross-Platform Support
Dashboard
Debugging
Incident Management
Legacy App Support
Memory Protection
Multiple App Instances

Categories and Features

Deep Learning

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

HPC

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