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ease
features
design
support

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Description

NVIDIA GPU Cloud (NGC) serves as a cloud platform that harnesses GPU acceleration for deep learning and scientific computations. It offers a comprehensive catalog of fully integrated containers for deep learning frameworks designed to optimize performance on NVIDIA GPUs, whether in single or multi-GPU setups. Additionally, the NVIDIA train, adapt, and optimize (TAO) platform streamlines the process of developing enterprise AI applications by facilitating quick model adaptation and refinement. Through a user-friendly guided workflow, organizations can fine-tune pre-trained models with their unique datasets, enabling them to create precise AI models in mere hours instead of the traditional months, thereby reducing the necessity for extensive training periods and specialized AI knowledge. If you're eager to dive into the world of containers and models on NGC, you’ve found the ideal starting point. Furthermore, NGC's Private Registries empower users to securely manage and deploy their proprietary assets, enhancing their AI development journey.

Description

NVIDIA GRID® Virtual PC (GRID vPC) and Virtual Apps (GRID vApps) offer advanced virtualization solutions that create a user experience closely resembling that of a traditional PC. By utilizing server-side graphics along with extensive monitoring and management features, GRID ensures that your Virtual Desktop Infrastructure (VDI) remains relevant and efficient for future developments. This technology provides GPU acceleration to every virtual machine (VM) in your organization, facilitating an exceptional user experience while allowing your IT staff to focus on achieving business objectives and strategic initiatives. As work environments transition, whether at home or in the office, the demands of modern applications continue to escalate, requiring significantly enhanced graphics capabilities. Real-time collaboration tools like MS Teams and Zoom are essential for remote teamwork, but today’s workforce also often relies on multiple monitors to manage various applications at once. With NVIDIA vPC, organizations can effectively meet the evolving demands of the digital landscape, ensuring productivity and versatility in their operations. Ultimately, GPU acceleration with NVIDIA vPC is key to adapting to the fast-paced changes in how we work today.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

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

Integrations

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

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

ngc.nvidia.com

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

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

Product Features

Deep Learning

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

HPC

Product Features

Application Virtualization

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

Alternatives

Alternatives

VDIPOD Reviews

VDIPOD

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