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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
The Ansys HPC software suite allows users to leverage modern multicore processors to conduct a greater number of simulations in a shorter timeframe. These simulations can achieve unprecedented levels of complexity, size, and accuracy thanks to high-performance computing (HPC) capabilities. Ansys provides a range of HPC licensing options that enable scalability, accommodating everything from single-user setups for basic parallel processing to extensive configurations that support nearly limitless parallel processing power. For larger teams, Ansys ensures the ability to execute highly scalable, multiple parallel processing simulations to tackle the most demanding projects. In addition to its parallel computing capabilities, Ansys also delivers parametric computing solutions, allowing for a deeper exploration of various design parameters—including dimensions, weight, shape, materials, and mechanical properties—during the early stages of product development. This comprehensive approach not only enhances simulation efficiency but also significantly optimizes the design process.
API Access
Has API
API Access
Has API
Integrations
AMD Radeon ProRender
Amazon EC2
Amazon EKS
Amazon Elastic Inference
Amazon SageMaker
Amazon Web Services (AWS)
CUDA
OpenGL
Integrations
AMD Radeon ProRender
Amazon EC2
Amazon EKS
Amazon Elastic Inference
Amazon SageMaker
Amazon Web Services (AWS)
CUDA
OpenGL
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
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
Ansys
Country
United States
Website
www.ansys.com/it-solutions/hpc
Product Features
Deep Learning
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization