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Average Ratings 0 Ratings

Total
ease
features
design
support

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

Write a Review

Description

ActorCore AccuRIG, a free application, is designed to speed up character rigging. This allows character artists to concentrate on the model design and automation. You can achieve superior results in rigging models in A/T/scan poses or with multiple meshes. Direct export to major 3D software or upload to ActorCore to access tons of production-ready animations for game, film and archviz. System Requirements Minimum Requirements Dual Core CPU 4GB RAM 5GB free hard disk space Graphics Card: NVidia GeForce 400 Series / AMD Radeon HD 5000 series Video Memory: 1GB Ram Display Resolution: 1024 x 768 Color Depth: True Color (32-bit) Operating System Windows 11, 10, and Windows 8 Support for 64-bit Operating System DirectX 11 is required

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.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

3ds Max Yes 
AMD Radeon ProRender No 
Amazon EC2 No 
Amazon EKS No 
Amazon Elastic Inference No 
Amazon SageMaker No 
Amazon Web Services (AWS) No 
Blender Yes 
CUDA No 
Cinema 4D Yes 
Maya Yes 
MotionBuilder Yes 
OpenGL No 
Unity Yes 
Unreal Engine Yes 
iClone Yes 

Integrations

3ds Max No 
AMD Radeon ProRender Yes 
Amazon EC2 Yes 
Amazon EKS Yes 
Amazon Elastic Inference Yes 
Amazon SageMaker Yes 
Amazon Web Services (AWS) Yes 
Blender No 
CUDA Yes 
Cinema 4D No 
Maya No 
MotionBuilder No 
OpenGL Yes 
Unity No 
Unreal Engine No 
iClone No 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook 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 

Customer Support

Business Hours No 
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) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Reallusion

Founded

2000

Country

United States

Website

actorcore.reallusion.com/auto-rig

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

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

Product Features

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 

HPC

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