Average Ratings 0 Ratings
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
Utilizing the distinctive and inherently dynamic Lattice Boltzmann-based physics, the PowerFLOW CFD solution conducts simulations that effectively replicate real-world scenarios. With the PowerFLOW suite, engineers can assess product performance at the early stages of design, before any prototypes are constructed—this is when alterations can have the most substantial effects on both design and budget. The PowerFLOW system seamlessly imports intricate model geometries and conducts aerodynamic, aeroacoustic, and thermal management simulations with high accuracy and efficiency. By automating domain discretization and turbulence modeling along with wall treatment, it removes the need for manual volume meshing and boundary layer meshing. Users can confidently execute PowerFLOW simulations using a large number of compute cores on widely utilized High Performance Computing (HPC) platforms, enhancing productivity and reliability in the simulation process. This capability not only accelerates product development timelines but also ensures that potential issues are identified and addressed early in the design phase.
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
Dassault Systèmes
Country
United States
Website
www.3ds.com/products-services/simulia/products/powerflow/
Product Features
Deep Learning
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization
Product Features
Simulation
1D Simulation
3D Modeling
3D Simulation
Agent-Based Modeling
Continuous Modeling
Design Analysis
Direct Manipulation
Discrete Event Modeling
Dynamic Modeling
Graphical Modeling
Industry Specific Database
Monte Carlo Simulation
Motion Modeling
Presentation Tools
Stochastic Modeling
Turbulence Modeling