Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Ansys RedHawk-SC stands as the industry's premier solution for voltage drop and electromigration multiphysics sign-off in digital designs, recognized for its reliability. Its advanced analytics swiftly uncover vulnerabilities and facilitate what-if scenarios to enhance both power efficiency and performance. The cloud-based framework of RedHawk-SC ensures it can efficiently manage full-chip analyses with remarkable speed and capacity. The signoff precision is validated by all leading foundries across all finFET nodes, including those down to 3nm. Through its sophisticated power analytics, Ansys RedHawk-SC supports the creation of robust, low-power digital designs without sacrificing performance, offering designers extensive methods to identify and rectify dynamic voltage drop issues. The trusted multiphysics signoff analysis provided by Ansys RedHawk-SC significantly mitigates project and technology risks. Additionally, its algorithms have been rigorously validated by major foundries for all finFET processes and have demonstrated success in countless tapeouts, further solidifying its reputation in the industry. As technology continues to evolve, the capabilities of Ansys RedHawk-SC will adapt to meet future challenges in digital design.
Description
NVIDIA Modulus is an advanced neural network framework that integrates the principles of physics, represented through governing partial differential equations (PDEs), with data to create accurate, parameterized surrogate models that operate with near-instantaneous latency. This framework is ideal for those venturing into AI-enhanced physics challenges or for those crafting digital twin models to navigate intricate non-linear, multi-physics systems, offering robust support throughout the process. It provides essential components for constructing physics-based machine learning surrogate models that effectively merge physics principles with data insights. Its versatility ensures applicability across various fields, including engineering simulations and life sciences, while accommodating both forward simulations and inverse/data assimilation tasks. Furthermore, NVIDIA Modulus enables parameterized representations of systems that can tackle multiple scenarios in real time, allowing users to train offline once and subsequently perform real-time inference repeatedly. As such, it empowers researchers and engineers to explore innovative solutions across a spectrum of complex problems with unprecedented efficiency.
API Access
Has API
API Access
Has API
Integrations
AWS Marketplace
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
Ansys
Founded
1970
Country
United States
Website
www.ansys.com/products/semiconductors/ansys-redhawk-sc
Vendor Details
Company Name
NVIDIA
Founded
1993
Country
United States
Website
developer.nvidia.com/modulus
Product Features
Electrical Design
CAD Tools
Change Management
Collaboration
Compliance Management
Document Generation
Drag & Drop
Electrical Parts Catalog
Functions / Calculations
One Line Diagram
PLC Tools
Reusable Designs
Symbol Library
PCB Design
3D Visualization
Autorouting
Collaboration Tools
Component Library
Design Rule Check
Differential Pair Routing
Schematic Editor