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What is NVIDIA Quadro Virtual Workstation?

The NVIDIA Quadro Virtual Workstation delivers cloud-enabled access to advanced Quadro-grade computational resources, allowing businesses to combine the power of a high-performance workstation with the benefits of cloud infrastructure. As organizations face an increasing need for robust computing capabilities alongside greater mobility and collaboration, they can utilize cloud workstations along with traditional in-house systems to stay ahead in a competitive landscape. The included NVIDIA virtual machine image (VMI) features state-of-the-art GPU virtualization software, which is pre-installed with the latest Quadro drivers and ISV certifications. This advanced software is compatible with specific NVIDIA GPUs built on Pascal or Turing architectures, facilitating faster rendering and simulation processes from nearly any location. Key benefits include enhanced performance through RTX technology, reliable ISV certifications, increased IT flexibility via swift deployment of GPU-enhanced virtual workstations, and the capacity to adapt to changing business requirements. Furthermore, organizations can easily incorporate this technology into their current operations, which significantly boosts productivity and fosters better collaboration among team members. Ultimately, the NVIDIA Quadro Virtual Workstation is designed to empower teams to work more efficiently and effectively, regardless of their physical location.

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

Alibaba Cloud
Google Cloud Platform
Microsoft Azure
Pascal
Turing

Integrations Supported

AWS Marketplace
Azure Marketplace
Domino Enterprise AI Platform

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

www.nvidia.com/pt-br/design-visualization/quadro/virtual-workstations/

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

developer.nvidia.com/hpc-sdk

Categories and Features

Cloud GPU

Not specified

Categories and Features

HPC

Not specified

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