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Description
Amazon EC2 G4 instances are specifically designed to enhance the performance of machine learning inference and applications that require high graphics capabilities. Users can select between NVIDIA T4 GPUs (G4dn) and AMD Radeon Pro V520 GPUs (G4ad) according to their requirements. The G4dn instances combine NVIDIA T4 GPUs with bespoke Intel Cascade Lake CPUs, ensuring an optimal mix of computational power, memory, and networking bandwidth. These instances are well-suited for tasks such as deploying machine learning models, video transcoding, game streaming, and rendering graphics. On the other hand, G4ad instances, equipped with AMD Radeon Pro V520 GPUs and 2nd-generation AMD EPYC processors, offer a budget-friendly option for handling graphics-intensive workloads. Both instance types utilize Amazon Elastic Inference, which permits users to add economical GPU-powered inference acceleration to Amazon EC2, thereby lowering costs associated with deep learning inference. They come in a range of sizes tailored to meet diverse performance demands and seamlessly integrate with various AWS services, including Amazon SageMaker, Amazon ECS, and Amazon EKS. Additionally, this versatility makes G4 instances an attractive choice for organizations looking to leverage cloud-based machine learning and graphics processing capabilities.
Description
Amazon DCV eliminates the need to compromise between responsiveness and image fidelity. Its bandwidth-adaptive streaming protocol ensures that applications run with nearly instantaneous responsiveness while maintaining high-quality visuals. This highly responsive streaming capability enables users to operate graphics-heavy applications remotely, thus avoiding the costs associated with specialized workstations or the hassle of transferring large data volumes from the cloud to local devices. Moreover, on Linux systems, Amazon DCV allows multiple sessions to utilize a single GPU, providing additional savings on server infrastructure. The protocol’s compatibility across various operating systems and its browser-based access offer service builders a dependable and adaptable solution for streaming applications, catering to both cloud-based and on-premises environments. Supporting both Windows and Linux remote setups, Amazon DCV comes equipped with native clients for Windows, Linux, and MacOS, alongside an HTML5 client for easy access via web browsers. This wide range of support ensures that users can seamlessly connect and utilize their applications regardless of their operating system.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Amazon EC2
Yes
Amazon Web Services (AWS)
Yes
AMD Radeon ProRender
Yes
AWS HPC
No
Amazon AppStream
No
Amazon EKS
Yes
Amazon Elastic Inference
Yes
Amazon SageMaker
Yes
CUDA
Yes
Leostream
No
Integrations
Amazon EC2
Yes
Amazon Web Services (AWS)
Yes
AMD Radeon ProRender
No
AWS HPC
Yes
Amazon AppStream
Yes
Amazon EKS
No
Amazon Elastic Inference
No
Amazon SageMaker
No
CUDA
No
Leostream
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/ec2/instance-types/g4/
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/hpc/dcv/
Product Features
Deep Learning
Convolutional Neural Networks
No
Document Classification
No
Image Segmentation
No
ML Algorithm Library
No
Model Training
No
Neural Network Modeling
No
Self-Learning
No
Visualization
No
Product Features
Remote Desktop
Chat
No
Cross-Platform Access
No
File Transfer
No
Group View
No
Mobile Device Access
No
Multi Monitor Support
No
Record Remote Sessions
No
Remote Print
No
Remote Wake
No
User Management
No