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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 HPC SDK?

The NVIDIA HPC Software Development Kit (SDK) provides a thorough collection of dependable compilers, libraries, and software tools that are essential for improving both developer productivity and the performance and flexibility of HPC applications. Within this SDK are compilers for C, C++, and Fortran that enable GPU acceleration for modeling and simulation tasks in HPC by utilizing standard C++ and Fortran, alongside OpenACC® directives and CUDA®. Moreover, GPU-accelerated mathematical libraries enhance the effectiveness of commonly used HPC algorithms, while optimized communication libraries facilitate standards-based multi-GPU setups and scalable systems programming. Performance profiling and debugging tools are integrated to simplify the transition and optimization of HPC applications, and containerization tools make deployment seamless, whether in on-premises settings or cloud environments. Additionally, the HPC SDK is compatible with NVIDIA GPUs and diverse CPU architectures such as Arm, OpenPOWER, or x86-64 operating on Linux, thus equipping developers with comprehensive resources to efficiently develop high-performance GPU-accelerated HPC applications. In conclusion, this powerful toolkit is vital for anyone striving to advance the capabilities of high-performance computing, offering both versatility and depth for a wide range of applications.

Media

Media

Integrations Supported

Cisco Prime Network

Integrations Supported

AWS Marketplace
Azure Marketplace
Domino Enterprise AI Platform

API Availability

API Availability

Has API

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

Windows

Supported Platforms

Linux

Customer Service / Support

Standard Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

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/hpc-sdk

Categories and Features

Application Virtualization

Conflict Prevention
Dashboard
Debugging
Incident Management
Memory Protection
Multiple App Instances

Categories and Features

HPC

Not specified

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