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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 CUDA?

CUDA® is an advanced parallel computing platform and programming framework developed by NVIDIA that facilitates the execution of general computing tasks on graphics processing units (GPUs). By harnessing the power of CUDA, developers can greatly improve the performance of their applications by taking advantage of the robust capabilities offered by GPUs. In GPU-accelerated applications, the CPU manages the sequential aspects of the workload, where it performs optimally on single-threaded tasks, while the more intensive compute tasks are executed in parallel across numerous GPU cores. When utilizing CUDA, programmers can write code in familiar programming languages, including C, C++, Fortran, Python, and MATLAB, allowing for the integration of parallelism through a straightforward set of specialized keywords. The NVIDIA CUDA Toolkit provides developers with all necessary resources to build applications that leverage GPU acceleration. This all-encompassing toolkit includes GPU-accelerated libraries, a streamlined compiler, various development tools, and the CUDA runtime, simplifying the process of optimizing and deploying high-performance computing solutions. Furthermore, the toolkit's flexibility supports a diverse array of applications, from scientific research to graphics rendering, demonstrating its capability to adapt to various domains and challenges in computing. With the continual evolution of the toolkit, developers can expect ongoing enhancements to support even more innovative uses of GPU technology.

Media

Media

Integrations Supported

AWS Marketplace
Axivion Static Code Analysis
Azure Marketplace
Cisco Prime Network
Code Metal
Copernicus Computing
Dataoorts GPU Cloud
Fortran
HunyuanCustom
JarvisLabs.ai
MATLAB
NVIDIA Brev
NVIDIA Isaac
NVIDIA Jetson
NVIDIA Magnum IO
NVIDIA TensorRT
NodeShift
Python
Thunder Compute
Unicorn Render

Integrations Supported

AWS Marketplace
Axivion Static Code Analysis
Azure Marketplace
Cisco Prime Network
Code Metal
Copernicus Computing
Dataoorts GPU Cloud
Fortran
HunyuanCustom
JarvisLabs.ai
MATLAB
NVIDIA Brev
NVIDIA Isaac
NVIDIA Jetson
NVIDIA Magnum IO
NVIDIA TensorRT
NodeShift
Python
Thunder Compute
Unicorn Render

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
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

developer.nvidia.com/cuda-zone

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

Application Development

Access Controls/Permissions
Code Assistance
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Deployment Management
Graphical User Interface
Mobile Development
No-Code
Reporting/Analytics
Software Development
Source Control
Testing Management
Version Control
Web App Development

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