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What is NVIDIA Modulus?

NVIDIA Modulus is a sophisticated neural network framework designed to seamlessly combine the principles of physics, encapsulated through governing partial differential equations (PDEs), with data to develop accurate, parameterized surrogate models that deliver near-instantaneous responses. This framework is particularly suited for individuals tackling AI-driven physics challenges or those creating digital twin models to manage complex non-linear, multi-physics systems, ensuring comprehensive assistance throughout their endeavors. It offers vital elements for developing physics-oriented machine learning surrogate models that adeptly integrate physical laws with empirical data insights. Its adaptability makes it relevant across numerous domains, such as engineering simulations and life sciences, while supporting both forward simulations and inverse/data assimilation tasks. Moreover, NVIDIA Modulus facilitates parameterized representations of systems capable of addressing various scenarios in real time, allowing users to conduct offline training once and then execute real-time inference multiple times. By doing so, it empowers both researchers and engineers to discover innovative solutions across a wide range of intricate problems with remarkable efficiency, ultimately pushing the boundaries of what's achievable in their respective fields. As a result, this framework stands as a transformative tool for advancing the integration of AI in the understanding and simulation of physical phenomena.

What is Ansys Totem?

Ansys Totem-SC is a prominent leader in power noise and reliability verification specifically designed for analog and mixed-signal architectures, utilizing a cloud-native elastic compute framework to boost performance. Celebrated as the benchmark for voltage drop and electromigration multiphysics sign-off, it is optimized for both transistor-level and mixed-signal designs. With numerous successful tapeouts to its name, the cloud-centric structure of Totem-SC guarantees quick and reliable full-chip analysis capabilities. Its signoff accuracy is recognized by all top foundries for advanced finFET technologies, even at 3nm nodes. As a robust analytical platform for power noise and reliability, Ansys Totem-SC meets the demands of analog mixed-signal IP and fully custom designs effectively. The platform excels in creating IP models for SOC-level power integrity signoff alongside RedHawk-SC, and it also generates compact chip models of power delivery networks that are useful at both the chip and system levels. This widely endorsed solution establishes a high standard for analog and mixed-signal EM/IR analysis, promoting reliability and performance in contemporary electronic designs. Additionally, its advanced capabilities empower engineers to enhance design integrity, making Ansys Totem-SC indispensable in the rapidly evolving landscape of technology.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

developer.nvidia.com/modulus

Company Facts

Organization Name

Ansys

Date Founded

1970

Company Location

United States

Company Website

www.ansys.com/products/semiconductors/ansys-totem

Categories and 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

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