Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

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

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)
AMD Radeon ProRender
AWS App Mesh
AWS Elemental
Amazon EC2
Amazon EKS
Amazon Elastic Inference
Amazon SageMaker
CUDA
OpenGL
Orange Logic OrangeDAM

Integrations

Amazon Web Services (AWS)
AMD Radeon ProRender
AWS App Mesh
AWS Elemental
Amazon EC2
Amazon EKS
Amazon Elastic Inference
Amazon SageMaker
CUDA
OpenGL
Orange Logic OrangeDAM

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

HPC

Product Features

Alternatives

Alternatives

Vid.ly Reviews

Vid.ly

Encoding.com