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Average Ratings 0 Ratings
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 Elastic Transcoder offers cloud-based media transcoding solutions. It is tailored to be highly scalable, user-friendly, and cost-efficient, enabling developers and businesses to convert their media files from the original format into versions compatible with devices such as smartphones, tablets, and computers. The service seamlessly and automatically oversees every aspect of the transcoding process, eliminating the need for users to manage software, scale hardware, or optimize performance. To initiate the transcoding, one simply needs to create a “job” that details the location of the source media file and the desired output format. Additionally, it includes predefined transcoding presets for popular formats, ensuring that users don’t have to guess the best settings for specific devices. All of these functionalities are accessible through the service API, AWS SDKs, and the AWS Management Console, making it easy for users to leverage its capabilities. With Amazon Elastic Transcoder, the complexities of media transcoding are greatly simplified, allowing users to focus on other important tasks.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
AMD Radeon ProRender
AWS App Mesh
AWS Elemental
Amazon EC2
Amazon EKS
Amazon Elastic Inference
Amazon SageMaker
CUDA
OpenGL
Integrations
Amazon Web Services (AWS)
AMD Radeon ProRender
AWS App Mesh
AWS Elemental
Amazon EC2
Amazon EKS
Amazon Elastic Inference
Amazon SageMaker
CUDA
OpenGL
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$0.0075 per minute
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
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/elastictranscoder/
Product Features
Deep Learning
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization