Alternatives to NVIDIA Modulus
Compare NVIDIA Modulus alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to NVIDIA Modulus in 2026. Compare features, ratings, user reviews, pricing, and more from NVIDIA Modulus competitors and alternatives in order to make an informed decision for your business.
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Ansys Motor-CAD
Ansys
Ansys Motor-CAD is a dedicated electric machine design tool for fast multiphysics simulation across the full torque-speed operating range. Motor-CAD enables design engineers to evaluate motor topologies and concepts across the full operating range, to produce designs that are optimized for performance, efficiency and size. Motor-CAD software’s four integrated modules—EMag, Therm, Lab, Mech—enable multiphysics calculations to be performed quickly and iteratively, so users can get from concept to final design in less time. Fast calculations and streamlined data input processes leave time for Motor-CAD users to explore more motor topologies and fully assess the impact of advanced loss effects in the initial stages of an electromechanical design. The release includes powerful new features for design optimization, multi-physics analysis and system modelling for electric motors. Fast multiphysics simulation across a full torque-speed operating range. -
2
NVIDIA PhysicsNeMo
NVIDIA
NVIDIA PhysicsNeMo is an open source Python deep-learning framework for building, training, fine-tuning, and inferring physics-AI models that combine physics knowledge with data to accelerate simulations, create high-fidelity surrogate models, and enable near-real-time predictions across domains such as computational fluid dynamics, structural mechanics, electromagnetics, weather and climate, and digital twin applications. It provides scalable, GPU-accelerated tools and Python APIs built on PyTorch and released under the Apache 2.0 license, offering curated model architectures including physics-informed neural networks, neural operators, graph neural networks, and generative AI–based approaches so developers can harness physics-driven causality alongside observed data for engineering-grade modeling. PhysicsNeMo includes end-to-end training pipelines from geometry ingestion to differential equations, reference application recipes to jump-start workflows.Starting Price: Free -
3
LiveLink for MATLAB
Comsol Group
Seamlessly integrate COMSOL Multiphysics® with MATLAB® to extend your modeling with scripting programming in the MATLAB environment. LiveLink™ for MATLAB® allows you to utilize the full power of MATLAB and its toolboxes in preprocessing, model manipulation, and postprocessing. Enhance your in-house MATLAB code with powerful multiphysics simulations. Base your geometry modeling on probabilistic or image data. Use multiphysics models together with Monte Carlo simulations and genetic algorithms. Export COMSOL models on state-space matrix format for incorporating into control systems. Interface in the COMSOL Desktop® environment enables the use of MATLAB® functions while modeling. Manipulate your models from the command line or script to parameterize the geometry, physics, or the solution scheme. -
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SOLIDWORKS Simulation
SolidWorks
Subject your designs to real world conditions to raise product quality while reducing prototyping and physical testing costs. SOLIDWORKS® Simulation is an easy-to-use portfolio of structural analysis tools that use Finite Element Analysis (FEA) to predict a product’s real-world physical behavior by virtually testing CAD models. The portfolio provides linear, non-linear static and dynamic analysis capabilities. SOLIDWORKS Simulation Professional enables you to optimize your design, determine product mechanical resistance, product durability, topology, natural frequencies, and test heat transfer and buckling instabilities. It can also perform sequential multi-physics simulations. SOLIDWORKS Simulation Premium lets you efficiently evaluate your designs for nonlinear and dynamic response, dynamic loading, and composite materials. SOLIDWORKS Simulation Premium includes three advanced studies: Non-Linear Static, Non-Linear Dynamic, and Linear Dynamics. -
5
COMSOL Multiphysics
Comsol Group
Simulate real-world designs, devices, and processes with multiphysics software from COMSOL. General-purpose simulation software based on advanced numerical methods. Fully coupled multiphysics and single-physics modeling capabilities. Complete modeling workflow, from geometry to postprocessing. User-friendly tools for building and deploying simulation apps. The COMSOL Multiphysics® software brings a user interface and experience that is always the same, regardless of engineering application and physics phenomena. Add-on modules provide specialized functionality for electromagnetics, structural mechanics, acoustics, fluid flow, heat transfer, and chemical engineering. Choose from a list of LiveLink™ products to interface directly with CAD and other third-party software. Deploy simulation applications with COMSOL Compiler™ and COMSOL Server™. Create physics-based models and simulation applications with this software platform. -
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FEATool Multiphysics
Precise Simulation
FEATool Multiphysics - "Physics Simulation Made Easy" - a fully integrated physics, FEA, and CFD simulation toolbox. FEATool Multiphysics is a fully integrated simulation platform with a unified interface for several Finite Element Analysis (FEA) and Computational Fluid Dynamics (CFD) multi-physics solvers, such as OpenFOAM, SU2 Code, and FEniCS. This uniquely allows for modeling coupled physics phenomena such as found in fluid flow, heat transfer, structural, electromagnetics, acoustics, and chemical engineering applications, within a single user-friendly interface. With these capabilities, FEATool Multiphysics has become trusted tool by engineers and researchers worldwide to accelerate innovation and quickly achieve results in the energy, automotive, semi-conductor, and process industries. -
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samadii/em
Metariver Technology Co.,Ltd
samadii/em (electromagnetic simulation software) analyzes the electromagnetic field in 3d space using the Maxwell equation and using the FEM method. samadii/em (Electromagnetics Simulation) provides a multi-physics approach and high-performance electromagnetics simulation, with Samadii you can quickly address problems from semiconductors and displays to wireless communications, etc. With samadii/em you can analyze problems in electrostatic fields, transient electromagnetics, AC electromagnetic fields, magnetostatics as well as induction electronics, including the low-frequency and high-frequency ranges. -
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NVIDIA DGX Cloud
NVIDIA
NVIDIA DGX Cloud offers a fully managed, end-to-end AI platform that leverages the power of NVIDIA’s advanced hardware and cloud computing services. This platform allows businesses and organizations to scale AI workloads seamlessly, providing tools for machine learning, deep learning, and high-performance computing (HPC). DGX Cloud integrates seamlessly with leading cloud providers, delivering the performance and flexibility required to handle the most demanding AI applications. This service is ideal for businesses looking to enhance their AI capabilities without the need to manage physical infrastructure. -
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Geminus
Geminus
Geminus unleashes the power of predictive intelligence by intersecting AI and physics with multi-fidelity modeling. Our novel, first-principles AI translates the constraints of the physical world inside resilient predictive models. The Geminus platform leverages sparse data to quickly analyze the behavior of complex industrial systems, and precisely predict the impact of decisions that drive your business forward. The Geminus multi-fidelity approach fuses models with data, which enables you to create highly accurate surrogates over 1,000x faster than simulation. Only Geminus accurately quantifies model uncertainty, so you can be confident in your predictions and the decisions they inspire. Geminus compresses model creation time from months to hours requiring far fewer data and computes resources than traditional AI, or simulation methods. Models built on Geminus are infused with an understanding of the known behavior of real-world systems. -
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CAESIM
Adaptive Research
Adaptive Research is pleased to announce the immediate release of the CAESIM 2024 simulation platform, providing advanced computational fluid dynamics modeling with multi-physics capabilities. The new software release provides new tools and capabilities that optimize the modeling process and provide the CFD engineer with fast simulation solutions.Starting Price: $1295/annual standard -
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NVIDIA GPU-Optimized AMI
Amazon
The NVIDIA GPU-Optimized AMI is a virtual machine image for accelerating your GPU accelerated Machine Learning, Deep Learning, Data Science and HPC workloads. Using this AMI, you can spin up a GPU-accelerated EC2 VM instance in minutes with a pre-installed Ubuntu OS, GPU driver, Docker and NVIDIA container toolkit. This AMI provides easy access to NVIDIA's NGC Catalog, a hub for GPU-optimized software, for pulling & running performance-tuned, tested, and NVIDIA certified docker containers. The NGC catalog provides free access to containerized AI, Data Science, and HPC applications, pre-trained models, AI SDKs and other resources to enable data scientists, developers, and researchers to focus on building and deploying solutions. This GPU-optimized AMI is free with an option to purchase enterprise support offered through NVIDIA AI Enterprise. For how to get support for this AMI, scroll down to 'Support Information'Starting Price: $3.06 per hour -
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TRANSWELD
TRANSVALOR
In markets where the safety of welded assemblies is essential, analysis with TRANSWELD® offers a global and innovative solution to anticipate welding defects. Our simulation software integrates multi-physical models to simulate the real behavior of the metal in the liquid/mushy state to perform a complete analysis of the material evolution. TRANSWELD® also makes it possible to study the microstructure of the solid-state assembly. Then, you ensure the conformity of your welded part without going through the prototyping stage. Our software is 100% predictive. It allows you to observe your welding processes numerically by applying real conditions. For example, you can visualize the heat source movement during the simulation of laser welding or arc welding. -
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FLOW-3D
Flow Science
Optimize product designs and reduce time to market with FLOW-3D, a highly-accurate CFD software that specializes in solving transient, free-surface problems. FLOW-3D‘s complete multiphysics suite includes our state-of-the-art postprocessor, FlowSight. FLOW-3D provides a complete and versatile CFD simulation platform for engineers investigating the dynamic behavior of liquids and gas in a wide range of industrial applications and physical processes. FLOW-3D focuses on free surface and multi-phase applications, serving a broad range of industries including microfluidics, bio-medical devices, water civil infrastructure, aerospace, consumer products, additive manufacturing, inkjet printing, laser welding, automotive, offshore, energy and automotive. A uniquely powerful, multiphysics tool, FLOW-3D provides the functionality, ease-of-use and power that helps engineers advance their modeling objectives. -
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OnScale Solve
OnScale
OnScale is the first Cloud Engineering Simulation platform. It combines powerful multiphysics solver technology with the limitless compute power of cloud supercomputers. With OnScale, engineers can run massive numbers of full 3D multiphysics simulations in parallel to create true Digital Prototypes digital representations of physical high-tech devices that capture the complete behavior of a device over its operating envelope. With OnScale Solve we want to provide you with an awesome Cloud Engineering Simulation experience that’s easy, powerful, and gets the job done. OnScale Solve is built to run on public and private cloud supercomputers and includes a functional web-based UI, an API to efficiently integrate into any design workflow, scripting languages to fully customize engineering simulations, and plugins to enhance its modeling capabilities. OnScale Solve gives engineers the simulation capability necessary to synthetically generate data to train sophisticated AI/ML algorithms.Starting Price: $4 -
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Energy2D
The Concord Consortium
Based on computational physics, Energy2D is an interactive multiphysics simulation program that models all three modes of heat transfer, conduction, convection, and radiation, and their coupling with particle dynamics. Energy2D runs quickly on most computers and eliminates the switches among preprocessors, solvers, and postprocessors typically needed to perform computational fluid dynamics simulations. It allows you to design "computational experiments" to test a scientific hypothesis or solve an engineering problem without resorting to complex mathematics. Work is also underway to incorporate other types of energy transformations and support multiple types of fluids. The conduction part of Energy2D is highly accurate, but the convection and radiation parts are not 100% accurate. Hence, in cases that involve convection and radiation, Energy2D results should be considered qualitative. More than 40 scientific papers have used Energy2D as a research tool.Starting Price: Free -
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Alchemite
Intellegens
Alchemite provides AI-augmented physical modeling and solutions that help organizations extract actionable insights from experimental and simulation data by combining machine learning with physics-informed models to improve prediction accuracy, reduce experimental costs, and optimize product and process development. Its solutions span materials discovery and design, predictive modelling of performance and reliability, multiscale modelling that connects atomistic to macroscopic behaviour, and automation of workflow tasks such as data integration, surrogate modelling, and model validation. It supports physics-aware neural networks and hybrid modelling approaches that respect underlying scientific laws while learning from data to enable faster and more accurate simulations, reduced reliance on expensive physical testing, and improved decision-making. Intellegens’ tools are applied in areas such as battery performance prediction, chemical process optimization, etc. -
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DC-AM DigitalClone for Additive Manufacturing
Sentient Science
Defining the state-of-the-art, DigitalClone for Additive Manufacturing (DC-AM) integrates a suite of metal additive manufacturing modeling and simulation capabilities for comprehensive design and analysis support with seamless interoperability. DC-AM implements a multiscale, multi-physics analysis approach linking the process - microstructure - fatigue relationship of additively manufactured parts to enable computational assessment of quality and performance. DC-AM promotes adoption of AM in safety-critical industries by providing unprecedented insight into the relationship between build conditions and the characteristics of the final part while enabling reduction in time and cost required to qualify parts and processes.Starting Price: Upon request -
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Samadii Multiphysics
Metariver Technology Co.,Ltd
Metariver Technology Co., Ltd. is developing innovative and creative computer-aided engineering (CAE) analysis S/W based on the latest HPC technology and S/W technology including CUDA technology. We will change the paradigm of CAE technology by applying particle-based CAE technology and high-speed computation technology using GPUs to CAE analysis software. Here is an introduction to our products. 1. Samadii-DEM (the discrete element method): works with the discrete element method and solid particles. 2. Samadii-SCIV (Statistical Contact In Vacuum): working with high vacuum system gas-flow simulation. Using Monte Carlo simulation. 3. Samadii-EM (Electromagnetics): For full-field interpretation 4. Samadii-Plasma: Plasma simulation for Analysis of ion and electron behavior in an electromagnetic field. 5. Vampire (Virtual Additive Manufacturing System): Specializes in transient heat transfer analysis. additive manufacturing and 3D printing simulation software -
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ThirdAI
ThirdAI
ThirdAI (pronunciation: /THərd ī/ Third eye) is a cutting-edge Artificial intelligence startup carving scalable and sustainable AI. ThirdAI accelerator builds hash-based processing algorithms for training and inference with neural networks. The technology is a result of 10 years of innovation in finding efficient (beyond tensor) mathematics for deep learning. Our algorithmic innovation has demonstrated how we can make Commodity x86 CPUs 15x or faster than most potent NVIDIA GPUs for training large neural networks. The demonstration has shaken the common knowledge prevailing in the AI community that specialized processors like GPUs are significantly superior to CPUs for training neural networks. Our innovation would not only benefit current AI training by shifting to lower-cost CPUs, but it should also allow the “unlocking” of AI training workloads on GPUs that were not previously feasible. -
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Fidelity CFD
Cadence Design Systems
Accelerate engineering with the industry's only intuitive, comprehensive CFD platform for multidisciplinary design and optimization. Computational fluid dynamics (CFD) is an aspect of multiphysics system analysis that simulates the behavior of fluids and their thermodynamic properties using numerical models. Engineers use the Cadence Fidelity CFD platform design processes, such as propulsion, aerodynamics, hydrodynamics, and combustion, to improve and increase the efficiency of products by reducing time-consuming and expensive physical testing. Fidelity CFD platform provides an easy-to-use end-to-end CFD solution for multidisciplinary design and optimization, in applications such as aerospace, automotive, turbomachinery, and marine industries. The platform, with its streamlined workflows, massively parallel architecture, and state-of-the-art solver technology, provides unprecedented performance and accuracy and increases engineering efficiency for today’s design challenges. -
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MapleSim
Waterloo Maple
From digital twins for virtual commissioning to system-level models for complex engineering design projects, MapleSim is an advanced modeling tool that helps you reduce development time, lower costs, and diagnose real-world performance issues. Remove vibrations with better control code, not hardware upgrades. Diagnose root-cause performance issues with detailed simulation results. Validate new design performance before physical prototyping. MapleSim is an advanced system-level modeling and simulation tool that applies modern techniques to dramatically reduce model development time, provide greater insight into system behavior, and produce fast, high-fidelity simulations. Scale and connect as the needs of your simulations grow more complex. Take your designs further with our flexible modeling language. Combine components across different domains in a virtual prototype. Solve tough machine performance problems. -
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Latent AI
Latent AI
We take the hard work out of AI processing on the edge. The Latent AI Efficient Inference Platform (LEIP) enables adaptive AI at the edge by optimizing for compute, energy and memory without requiring changes to existing AI/ML infrastructure and frameworks. LEIP is a modular, fully-integrated workflow designed to train, quantize, adapt and deploy edge AI neural networks. LEIP is a modular, fully-integrated workflow designed to train, quantize and deploy edge AI neural networks. Latent AI believes in a vibrant and sustainable future driven by the power of AI and the promise of edge computing. Our mission is to deliver on the vast potential of edge AI with solutions that are efficient, practical, and useful. Latent AI helps a variety of federal and commercial organizations gain the most from their edge AI with an automated edge MLOps pipeline that creates ultra-efficient, compressed, and secured edge models at scale while also removing all maintenance and configuration concerns -
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Zebra by Mipsology
Mipsology
Zebra by Mipsology is the ideal Deep Learning compute engine for neural network inference. Zebra seamlessly replaces or complements CPUs/GPUs, allowing any neural network to compute faster, with lower power consumption, at a lower cost. Zebra deploys swiftly, seamlessly, and painlessly without knowledge of underlying hardware technology, use of specific compilation tools, or changes to the neural network, the training, the framework, and the application. Zebra computes neural networks at world-class speed, setting a new standard for performance. Zebra runs on highest-throughput boards all the way to the smallest boards. The scaling provides the required throughput, in data centers, at the edge, or in the cloud. Zebra accelerates any neural network, including user-defined neural networks. Zebra processes the same CPU/GPU-based trained neural network with the same accuracy without any change. -
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DeePhi Quantization Tool
DeePhi Quantization Tool
This is a model quantization tool for convolution neural networks(CNN). This tool could quantize both weights/biases and activations from 32-bit floating-point (FP32) format to 8-bit integer(INT8) format or any other bit depths. With this tool, you can boost the inference performance and efficiency significantly, while maintaining the accuracy. This tool supports common layer types in neural networks, including convolution, pooling, fully-connected, batch normalization and so on. The quantization tool does not need the retraining of the network or labeled datasets, only one batch of pictures are needed. The process time ranges from a few seconds to several minutes depending on the size of neural network, which makes rapid model update possible. This tool is collaborative optimized for DeePhi DPU and could generate INT8 format model files required by DNNC.Starting Price: $0.90 per hour -
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SwiftComp
AnalySwift
SwiftComp is a revolutionary multiscale, multiphysics composite simulation code that quickly and easily delivers the accuracy of 3D FEA at the efficiency of simple engineering models. In doing so, SwiftComp reduces barriers for engineers by enabling them to model composites as easily as metals using conventional structural elements in their FEA codes (without losing accuracy while capturing all the microstructural details). SwiftComp provides unified modeling for 1D (beams), 2D (plates/shells), or 3D structures, calculating all the effective properties. Use SwiftComp either independently for virtual testing of composites or as a plug-in to power your conventional structural tools with high-fidelity composites modeling. SwiftComp can compute the best structural model for use in macroscopic structural analysis, as well as perform dehomogenization to compute the pointwise stresses in the microstructure. SwiftComp directly interfaces with ABAQUS, ANSYS. -
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VSim
Tech-X
VSim is the Multiphysics Simulation Software used by design engineers and research scientists who require precise solutions for challenging problems. VSim’s unique combination of Finite-Difference Time-Domain (FDTD), Particle-in-Cell (PIC), and Charged Fluid (Finite Volume) methods deliver accurate results for a variety of situations, including plasma modeling. As a parallel software application, VSim can efficiently handle problems at scale, and simulations run quickly using algorithms designed for high-performance computing systems. Trusted by researchers in 30 countries, and used by engineers in industries from aerospace to semiconductor manufacturing, With documented accuracy, VSim provides results that users can trust. Created by a team of computational scientists, Tech-X’s code has been cited thousands of times in the scientific literature, and VSim can be found at many of the world’s top research institutions. -
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Ansys Lumerical Multiphysics is a photonics component simulation software that enables the seamless design of photonic components by capturing multiphysics effects, including optical, thermal, electrical, and quantum well interactions, within a unified design environment. Tailored for design engineering workflows, this intuitive product design software offers a fast user experience, facilitating rapid design exploration and providing detailed insights into real-world product performance. It combines live physics and accurate high-fidelity simulation into an easy-to-use interface, supporting faster time-to-market. Key features include a finite element design environment, integrated multiphysics workflows, comprehensive material models, and capabilities for automation and optimization. The suite of solvers and seamless workflows in Lumerical Multiphysics accurately capture the interplay of physical effects in modeling both passive and active photonic components.
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DeepCube
DeepCube
DeepCube focuses on the research and development of deep learning technologies that result in improved real-world deployment of AI systems. The company’s numerous patented innovations include methods for faster and more accurate training of deep learning models and drastically improved inference performance. DeepCube’s proprietary framework can be deployed on top of any existing hardware in both datacenters and edge devices, resulting in over 10x speed improvement and memory reduction. DeepCube provides the only technology that allows efficient deployment of deep learning models on intelligent edge devices. After the deep learning training phase, the resulting model typically requires huge amounts of processing and consumes lots of memory. Due to the significant amount of memory and processing requirements, today’s deep learning deployments are limited mostly to the cloud. -
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NVIDIA Picasso
NVIDIA
NVIDIA Picasso is a cloud service for building generative AI–powered visual applications. Enterprises, software creators, and service providers can run inference on their models, train NVIDIA Edify foundation models on proprietary data, or start from pre-trained models to generate image, video, and 3D content from text prompts. Picasso service is fully optimized for GPUs and streamlines training, optimization, and inference on NVIDIA DGX Cloud. Organizations and developers can train NVIDIA’s Edify models on their proprietary data or get started with models pre-trained with our premier partners. Expert denoising network to generate photorealistic 4K images. Temporal layers and novel video denoiser generate high-fidelity videos with temporal consistency. A novel optimization framework for generating 3D objects and meshes with high-quality geometry. Cloud service for building and deploying generative AI-powered image, video, and 3D applications. -
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PowerFLOW
Dassault Systèmes
By leveraging our unique, inherently transient Lattice Boltzmann-based physics PowerFLOW CFD solution performs simulations that accurately predict real world conditions. Using the PowerFLOW suite, engineers evaluate product performance early in the design process prior to any prototype being built — when the impact of change is most significant for design and budgets. PowerFLOW imports fully complex model geometry and accurately and efficiently performs aerodynamic, aeroacoustic and thermal management simulations. Automated domain discretization and turbulence modeling with wall treatment eliminates the need for manual volume meshing and boundary layer meshing. Confidently run PowerFLOW simulations using large number of compute cores on common High Performance Computing (HPC) platforms. -
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Simcenter STAR-CCM+
Siemens Digital Industries
Simcenter STAR-CCM+ is a multiphysics computational fluid dynamics (CFD) software for the simulation of products operating under real-world conditions. Simcenter STAR-CCM+ uniquely brings automated design exploration and optimization to the CFD simulation toolkit of every engineer. The single integrated environment includes everything from CAD, automated meshing, multiphysics CFD, sophisticated postprocessing, and design exploration. This allows engineers to efficiently explore the entire design space to make better design decisions faster. The additional insight gained by using Simcenter STAR-CCM+ to guide your design process ultimately leads to more innovative products that exceed customer expectations. Significantly improving a battery design across its whole operating range is a challenging task, and involves the simultaneous optimization of numerous parameters. Simcenter provides a complete simulation environment for the analysis and design of the electrochemical system. -
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NVIDIA HPC SDK
NVIDIA
The NVIDIA HPC Software Development Kit (SDK) includes the proven compilers, libraries and software tools essential to maximizing developer productivity and the performance and portability of HPC applications. The NVIDIA HPC SDK C, C++, and Fortran compilers support GPU acceleration of HPC modeling and simulation applications with standard C++ and Fortran, OpenACC® directives, and CUDA®. GPU-accelerated math libraries maximize performance on common HPC algorithms, and optimized communications libraries enable standards-based multi-GPU and scalable systems programming. Performance profiling and debugging tools simplify porting and optimization of HPC applications, and containerization tools enable easy deployment on-premises or in the cloud. With support for NVIDIA GPUs and Arm, OpenPOWER, or x86-64 CPUs running Linux, the HPC SDK provides the tools you need to build NVIDIA GPU-accelerated HPC applications. -
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NVIDIA NGC
NVIDIA
NVIDIA GPU Cloud (NGC) is a GPU-accelerated cloud platform optimized for deep learning and scientific computing. NGC manages a catalog of fully integrated and optimized deep learning framework containers that take full advantage of NVIDIA GPUs in both single GPU and multi-GPU configurations. NVIDIA train, adapt, and optimize (TAO) is an AI-model-adaptation platform that simplifies and accelerates the creation of enterprise AI applications and services. By fine-tuning pre-trained models with custom data through a UI-based, guided workflow, enterprises can produce highly accurate models in hours rather than months, eliminating the need for large training runs and deep AI expertise. Looking to get started with containers and models on NGC? This is the place to start. Private Registries from NGC allow you to secure, manage, and deploy your own assets to accelerate your journey to AI. -
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Ansys SPEOS
Ansys
Ansys SPEOS predicts the illumination and optical performance of systems to save on prototyping time and costs while improving your product’s efficiency. Ansys SPEOS delivers an intuitive and comprehensive user interface, enhanced productivity with use of GPUs for simulation previews and easy access to the Ansys multiphysics ecosystem. SPEOS has been assessed by the International Commission on Illumination (CIE) against CIE 171:2006 test cases, assessing the accuracy of light modeling software and showing the performance benefits of Ansys SPEOS. Turn on the light in your virtual model and intuitively explore the propagation of light in 3D. The SPEOS Live preview function features simulation and rendering capabilities so you can design products interactively. Cut iteration time and speed up your decision-making process by performing simulations correctly the first time, automatically designing for optical surfaces, light guides and optical lenses. -
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NVIDIA TensorRT
NVIDIA
NVIDIA TensorRT is an ecosystem of APIs for high-performance deep learning inference, encompassing an inference runtime and model optimizations that deliver low latency and high throughput for production applications. Built on the CUDA parallel programming model, TensorRT optimizes neural network models trained on all major frameworks, calibrating them for lower precision with high accuracy, and deploying them across hyperscale data centers, workstations, laptops, and edge devices. It employs techniques such as quantization, layer and tensor fusion, and kernel tuning on all types of NVIDIA GPUs, from edge devices to PCs to data centers. The ecosystem includes TensorRT-LLM, an open source library that accelerates and optimizes inference performance of recent large language models on the NVIDIA AI platform, enabling developers to experiment with new LLMs for high performance and quick customization through a simplified Python API.Starting Price: Free -
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NVIDIA Isaac Sim
NVIDIA
NVIDIA Isaac Sim is an open source reference robotics simulation application built on NVIDIA Omniverse, enabling developers to design, simulate, test, and train AI-driven robots in physically realistic virtual environments. It is built atop Universal Scene Description (OpenUSD), offering full extensibility so developers can create custom simulators or seamlessly integrate Isaac Sim's capabilities into existing validation pipelines. The platform supports three essential workflows; large-scale synthetic data generation for training foundation models with photorealistic rendering and automatic ground truth labeling; software-in-the-loop testing, which connects actual robot software with simulated hardware to validate control and perception systems; and robot learning through NVIDIA’s Isaac Lab, which accelerates training of behaviors in simulation before real-world deployment. Isaac Sim delivers GPU-accelerated physics (via NVIDIA PhysX) and RTX-enabled sensor simulation.Starting Price: Free -
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NVIDIA DIGITS
NVIDIA DIGITS
The NVIDIA Deep Learning GPU Training System (DIGITS) puts the power of deep learning into the hands of engineers and data scientists. DIGITS can be used to rapidly train the highly accurate deep neural network (DNNs) for image classification, segmentation and object detection tasks. DIGITS simplifies common deep learning tasks such as managing data, designing and training neural networks on multi-GPU systems, monitoring performance in real-time with advanced visualizations, and selecting the best performing model from the results browser for deployment. DIGITS is completely interactive so that data scientists can focus on designing and training networks rather than programming and debugging. Interactively train models using TensorFlow and visualize model architecture using TensorBoard. Integrate custom plug-ins for importing special data formats such as DICOM used in medical imaging. -
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EMWorks
EMWorks
EMWorks provides best-in-class electromagnetic simulation software for electrical and electronics design with multiphysics capabilities. The company’s products are fully and seamlessly embedded in SOLIDWORKS and Autodesk Inventor®. Applications include electromechanical and power electronics, antennas, RF and microwave components, and power and signal integrity of high-speed interconnects. EMS is an electromagnetic field simulation software for designing and optimizing electromagnetic and electromechanical devices such as transformers, electric motors, actuators, and sensors inside SOLIDWORKS® and Autodesk® Inventor®. EMWorks2D is a 2D electromagnetic simulation software for 2D planar and axis-symmetric geometries and it is completely embedded inside SOLIDWORKS. This product enables users to do quick simulations before migrating to 3D and helps in rapid product development. -
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Darknet
Darknet
Darknet is an open-source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation. You can find the source on GitHub or you can read more about what Darknet can do. Darknet is easy to install with only two optional dependencies, OpenCV if you want a wider variety of supported image types, and CUDA if you want GPU computation. Darknet on the CPU is fast but it's like 500 times faster on GPU! You'll have to have an Nvidia GPU and you'll have to install CUDA. By default, Darknet uses stb_image.h for image loading. If you want more support for weird formats (like CMYK jpegs, thanks Obama) you can use OpenCV instead! OpenCV also allows you to view images and detections without having to save them to disk. Classify images with popular models like ResNet and ResNeXt. Recurrent neural networks are all the rage for time-series data and NLP. -
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Intel Tiber AI Cloud
Intel
Intel® Tiber™ AI Cloud is a powerful platform designed to scale AI workloads with advanced computing resources. It offers specialized AI processors, such as the Intel Gaudi AI Processor and Max Series GPUs, to accelerate model training, inference, and deployment. Optimized for enterprise-level AI use cases, this cloud solution enables developers to build and fine-tune models with support for popular libraries like PyTorch. With flexible deployment options, secure private cloud solutions, and expert support, Intel Tiber™ ensures seamless integration, fast deployment, and enhanced model performance.Starting Price: Free -
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MORAI
MORAI
MORAI offers a digital twin simulation platform that accelerates the development and testing of autonomous vehicles, urban air mobility, and maritime autonomous surface ships. Built with high-definition maps and a powerful physics engine, it bridges the gap between real-world and simulation test environments, providing all key elements for verifying autonomous systems, including autonomous driving, unmanned aerial vehicles, and unmanned ship systems. It provides a variety of sensor models, including cameras, LiDAR, GPS, radar, and Inertial Measurement Units (IMUs). Users can generate complex and diverse test scenarios from real-world data, including log-based scenarios and edge case scenarios. MORAI's cloud simulation allows for safe, cost-effective, and scalable testing, enabling multiple simulations to run concurrently and evaluate different scenarios in parallel. -
42
NeuralWing
Emmi AI
NeuralWing is a real-time neural simulation and design optimization model for transonic aircraft aerodynamics. It is built around the largest 3D transonic wing dataset, created from 30,000 steady-state CFD simulations of a 3D wing in the transonic regime, with variations across four geometry parameters and two inflow conditions. Using Emmi’s AB-UPT surrogate model trained on this data, NeuralWing enables users to modify wing geometry, test optimizations, and maximize aerodynamic efficiency in seconds. The model supports transonic 3D wing simulation, geometry and inflow variations, real-time inference, and design-parameter optimization. Its inputs include a geometry mesh in STL format, speed, and angle of attack, while its outputs include pressure, friction, velocity fields, and integral forces such as lift and drag. Geometry meshes are created in real time from four design parameters in a differentiable manner, allowing fast exploration of design changes.Starting Price: Free -
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Fire Dynamics Simulator (FDS) is a free, open source tools for modeling and visualizing fire-driven flows. FDS is a computational fluid dynamics code that numerically solves a form of the Navier–Stokes equations for low-speed, thermally driven flow, with particular emphasis on smoke and heat transport from fires. It uses large-eddy simulation to represent complex fire-plume dynamics and can be applied to scenarios involving fire, wind, sprinklers, ventilation, geometry, materials, and other conditions that influence fire behavior. Users define a scenario through text-based input files, run the calculation with FDS, and analyze the resulting data. It displays output from FDS and CFAST simulations using OpenGL-based 3D graphics and scientific visualization methods, including animated smoke and tracer particles, two- and three-dimensional shaded contours, iso-surfaces, temperature fields, and flow vectors showing direction and magnitude.Starting Price: Free
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44
Ansys Mechanical
Ansys
Ansys Mechanical is a best-in-class finite element solver with structural, thermal, acoustics, transient and nonlinear capabilities to improve your modeling. Ansys Mechanical enables you to solve complex structural engineering problems and make better, faster design decisions. With the finite element analysis (FEA) solvers available in the suite, you can customize and automate solutions for your structural mechanics problems and parameterize them to analyze multiple design scenarios. Ansys Mechanical is a dynamic tool that has a complete range of analysis tools. Ansys Mechanical offers a dynamic environment with a complete range of analysis tools, from preparing geometry for analysis to connecting additional physics for even greater fidelity. The intuitive and customizable user interface enables engineers of all levels to get answers fast and with confidence. Ansys Mechanical creates an integrated platform that uses finite element analysis (FEA) for structural analysis. -
45
NeuroIntelligence
ALYUDA
NeuroIntelligence is a neural networks software application designed to assist neural network, data mining, pattern recognition, and predictive modeling experts in solving real-world problems. NeuroIntelligence features only proven neural network modeling algorithms and neural net techniques; software is fast and easy-to-use. Visualized architecture search, neural network training and testing. Neural network architecture search, fitness bars, network training graphs comparison. Training graphs, dataset error, network error, weights and errors distribution, neural network input importance. Testing, actual vs. output graph, scatter plot, response graph, ROC curve, confusion matrix. The interface of NeuroIntelligence is optimized to solve data mining, forecasting, classification and pattern recognition problems. You can create a better solution much faster using the tool's easy-to-use GUI and unique time-saving capabilities.Starting Price: $497 per user -
46
Intel SceneScape
Intel
Intel® SceneScape is an advanced software platform designed to create 4D digital twins of physical spaces by processing data from multiple sensors. This innovative platform extends tracking capabilities beyond traditional vision-based AI by enabling real-time monitoring, asset tracking, and predictive decision-making. With its low-code interface and compatibility with various sensors, SceneScape makes it easy to deploy powerful AI solutions across industries like defense, transportation, healthcare, and retail. It provides near real-time tracking and analytics, improving operational efficiency and situational awareness. -
47
NVIDIA AI Foundations
NVIDIA
Impacting virtually every industry, generative AI unlocks a new frontier of opportunities, for knowledge and creative workers, to solve today’s most important challenges. NVIDIA is powering generative AI through an impressive suite of cloud services, pre-trained foundation models, as well as cutting-edge frameworks, optimized inference engines, and APIs to bring intelligence to your enterprise applications. NVIDIA AI Foundations is a set of cloud services that advance enterprise-level generative AI and enable customization across use cases in areas such as text (NVIDIA NeMo™), visual content (NVIDIA Picasso), and biology (NVIDIA BioNeMo™). Unleash the full potential with NeMo, Picasso, and BioNeMo cloud services, powered by NVIDIA DGX™ Cloud, the AI supercomputer. Marketing copy, storyline creation, and global translation in many languages. For news, email, meeting minutes, and information synthesis. -
48
Bright Cluster Manager
NVIDIA
NVIDIA Bright Cluster Manager offers fast deployment and end-to-end management for heterogeneous high-performance computing (HPC) and AI server clusters at the edge, in the data center, and in multi/hybrid-cloud environments. It automates provisioning and administration for clusters ranging in size from a couple of nodes to hundreds of thousands, supports CPU-based and NVIDIA GPU-accelerated systems, and enables orchestration with Kubernetes. Heterogeneous high-performance Linux clusters can be quickly built and managed with NVIDIA Bright Cluster Manager, supporting HPC, machine learning, and analytics applications that span from core to edge to cloud. NVIDIA Bright Cluster Manager is ideal for heterogeneous environments, supporting Arm® and x86-based CPU nodes, and is fully optimized for accelerated computing with NVIDIA GPUs and NVIDIA DGX™ systems. -
49
Caffe
BAIR
Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR) and by community contributors. Yangqing Jia created the project during his PhD at UC Berkeley. Caffe is released under the BSD 2-Clause license. Check out our web image classification demo! Expressive architecture encourages application and innovation. Models and optimization are defined by configuration without hard-coding. Switch between CPU and GPU by setting a single flag to train on a GPU machine then deploy to commodity clusters or mobile devices. Extensible code fosters active development. In Caffe’s first year, it has been forked by over 1,000 developers and had many significant changes contributed back. Thanks to these contributors the framework tracks the state-of-the-art in both code and models. Speed makes Caffe perfect for research experiments and industry deployment. Caffe can process over 60M images per day with a single NVIDIA K40 GPU. -
50
GE Digital Twin
GE Digital
Apply advanced analytics and machine learning to reduce operational costs and risks. Digital twins are a key piece of the digital transformation puzzle. They create an accurate virtual replica of physical objects, assets, and systems to boost productivity, streamline operations and increase profits. Digital Twin is most commonly defined as a software representation of a physical asset, system or process designed to detect, prevent, predict, and optimize through real time analytics to deliver business value. At GE Digital, we are focused on how digital twin software can help our customers across three core areas: Asset, Network, and Process. Monitor, simulate and control an asset, process or network as an effective strategy to improve system performance. Protect the health and safety of employees, the environment, and business objectives, by reducing asset- and process-related incidents and avoiding unplanned downtime.
