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What is NVIDIA virtual GPU?

NVIDIA's virtual GPU (vGPU) software provides exceptional GPU performance critical for tasks such as graphics-heavy virtual workstations and sophisticated data science projects, enabling IT departments to leverage virtualization while benefiting from the powerful capabilities of NVIDIA GPUs for modern workloads. Installed on a physical GPU in a cloud or enterprise data center server, this software creates virtual GPUs that can be allocated across multiple virtual machines, allowing users to connect from any device, regardless of location. The performance delivered mirrors that of a traditional bare metal setup, ensuring a smooth user experience akin to working directly on dedicated hardware. Moreover, it integrates with standard data center management tools, supporting features such as live migration and the flexible allocation of GPU resources through fractional or multi-GPU virtual machine instances. This adaptability is especially advantageous for meeting shifting business demands and enabling remote workforce collaboration, ultimately driving enhanced productivity and operational efficiency. Furthermore, the ability to scale resources on-demand allows organizations to respond swiftly to changing workloads, making NVIDIA's vGPU a valuable asset in today's fast-paced digital landscape.

What is Amazon EC2 G4 Instances?

Amazon EC2 G4 instances are meticulously engineered to boost the efficiency of machine learning inference and applications that demand superior graphics performance. Users have the option to choose between NVIDIA T4 GPUs (G4dn) and AMD Radeon Pro V520 GPUs (G4ad) based on their specific needs. The G4dn instances merge NVIDIA T4 GPUs with custom Intel Cascade Lake CPUs, providing an ideal combination of processing power, memory, and networking capacity. These instances excel in various applications, including the deployment of machine learning models, video transcoding, game streaming, and graphic rendering. Conversely, the G4ad instances, which feature AMD Radeon Pro V520 GPUs and 2nd-generation AMD EPYC processors, present a cost-effective solution for managing graphics-heavy tasks. Both types of instances take advantage of Amazon Elastic Inference, enabling users to incorporate affordable GPU-enhanced inference acceleration to Amazon EC2, which helps reduce expenses tied to deep learning inference. Available in multiple sizes, these instances are tailored to accommodate varying performance needs and they integrate smoothly with a multitude of AWS services, such as Amazon SageMaker, Amazon ECS, and Amazon EKS. Furthermore, this adaptability positions G4 instances as a highly appealing option for businesses aiming to harness the power of cloud-based machine learning and graphics processing workflows, thereby facilitating innovation and efficiency.

Media

Media

Integrations Supported

AMD Radeon ProRender
AWS Marketplace
Amazon EC2
Amazon EKS
Amazon Elastic Inference
Amazon SageMaker
Amazon Web Services (AWS)
Armet AI
Azure Marketplace
CUDA
IBM Spectrum LSF Suites
IONOS Cloud GPU Servers
IREN Cloud
Mistral Compute
NVIDIA Base Command Manager
NVIDIA Magnum IO
NVIDIA TensorRT
Notenic
OpenGL
SF Compute

Integrations Supported

AMD Radeon ProRender
AWS Marketplace
Amazon EC2
Amazon EKS
Amazon Elastic Inference
Amazon SageMaker
Amazon Web Services (AWS)
Armet AI
Azure Marketplace
CUDA
IBM Spectrum LSF Suites
IONOS Cloud GPU Servers
IREN Cloud
Mistral Compute
NVIDIA Base Command Manager
NVIDIA Magnum IO
NVIDIA TensorRT
Notenic
OpenGL
SF Compute

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-solutions/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/ec2/instance-types/g4/

Categories and Features

Server Virtualization

Audit Management
Health Monitoring
Live Machine Migration
Multi-OS Virtual Machines
Patching / Backup
Performance Log
Performance Optimization
Rapid Provisioning
Security Management
Type 1 / Type 2 Hypervisor

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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