Alternatives to NVIDIA Modulus

DeepCube is a company that focuses on deep learning technologies. This technology can be used to improve the deployment of AI systems in real-world situations. The company's many patent innovations include faster, more accurate training of deep-learning models and significantly improved inference performance. DeepCube's proprietary framework is compatible with any hardware, datacenters or edge devices. This allows for over 10x speed improvements and memory reductions. DeepCube is the only technology that allows for efficient deployment of deep-learning models on intelligent edge devices. The model is typically very complex and requires a lot of memory. Deep learning deployments today are restricted to the cloud because of the large amount of memory and processing requirements.

Ansys MotorCAD is a dedicated tool for electric machine design. It allows you to quickly simulate multiphysics across the entire torque-speed operating range. Motor-CAD allows engineers to evaluate motor topologies across the entire operating range. This allows them to create designs that are optimized for size, efficiency, and performance. Motor-CAD software's four modules, Emag, Therm Lab, Mech, allow multiphysics calculations to be performed quickly, iteratively, and users can move from concept to final design in a shorter time. Motor-CAD users can explore more motor topologies and fully evaluate the impact of advanced loss effects during the initial stages of an electrical mechanical design with Motor-CAD's streamlined data input process. This release features powerful new features for design optimization and multi-physics analysis, as well as system modeling for electric motors. Multiphysics simulations are fast across the entire torque-speed range.

Integrate COMSOL Multiphysics®, with MATLAB®, to extend your modeling and scripting programming within the MATLAB environment. LiveLink™, for MATLAB®, allows you to harness the power of MATLAB's toolboxes and preprocessing, modeling manipulation, and postprocessing. Multiphysics simulations can be used to enhance your MATLAB code. Your geometry modeling should be based on probabilistic or image data. Multiphysics models can be combined with Monte Carlo simulations or genetic algorithms. To incorporate COMSOL models into control systems, export COMSOL models in state-space matrix format. The COMSOL Desktop®, interface allows you to use MATLAB®, functions while modeling. To parameterize the geometry, physics or solution scheme, you can manipulate your models using the command line or script.

Your designs can be tested under real-world conditions to improve product quality and reduce prototyping and testing costs. SOLIDWORKS®, Simulation is a simple-to-use suite of structural analysis tools that uses Finite Element Analysis to predict a product’s real-world physical behavior. This can be done by virtually testing CAD models. The portfolio offers dynamic, static, and linear analysis capabilities. SOLIDWORKS Simulation Professional allows you to optimize your design, determine product mechanical resist, product durability, and test heat transfer instabilities and buckling instabilities. It can also perform multi-physics sequential simulations. SOLIDWORKS Simulator Premium allows you to efficiently evaluate your designs for dynamic response, nonlinear, and composite materials. SOLIDWORKS Simulation Premium offers three advanced studies: Nonlinear Dynamic, Linear Dynamics, and Non-Linear Static.

samadii/em oftware that analyzes and calculates the electromagnetic field in 3d space using the Maxwell equation using vector FEM ad GPU computing. it provides electrostatics, magnetostatics as well and induction electronics, including the low-frequency and high-frequency ranges. samadii/em 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.

We take the hard work out of AI processing on the edge. The Latent AI Efficient Inference Platform (LEIP) enables adaptive AI at edge by optimizing compute, energy, and memory without requiring modifications to existing AI/ML infrastructure or frameworks. LEIP is a fully-integrated modular workflow that can be used to build, quantify, and deploy edge AI neural network. Latent AI believes in a vibrant and sustainable future driven by the power of AI. Our mission is to enable the vast potential of AI that is efficient, practical and useful. We reduce the time to market with a Robust, Repeatable, and Reproducible workflow for edge AI. We help companies transform into an AI factory to make better products and services.

The NVIDIA GPU Optimized AMI is a virtual image that accelerates your GPU-accelerated Machine Learning and Deep Learning workloads. This AMI allows you to spin up a GPU accelerated EC2 VM in minutes, with a preinstalled Ubuntu OS and GPU driver. Docker, NVIDIA container toolkit, and Docker are also included. This AMI provides access to NVIDIA’s NGC Catalog. It is a hub of GPU-optimized software for pulling and running performance-tuned docker containers that have been tested and certified by NVIDIA. The NGC Catalog provides free access to containerized AI and HPC applications. It also includes pre-trained AI models, AI SDKs, and other resources. This GPU-optimized AMI comes free, but you can purchase enterprise support through NVIDIA Enterprise. Scroll down to the 'Support information' section to find out how to get support for AMI.

Multiphysics software from COMSOL allows you to simulate real-world designs, processes, and devices. Multipurpose simulation software that uses advanced numerical methods. Fully coupled multiphysics and single physics modeling capabilities. The entire modeling process, from geometry to postprocessing. Easy-to-use tools for creating and deploying simulation applications. The COMSOL Multiphysics® software provides a consistent user interface regardless of engineering application or physics phenomena. Add-on modules offer specialized functionality for electromagnetics and structural mechanics. You can choose from a variety of LiveLink™, products to interface with CAD or other third-party software. COMSOL Server™ and COMSOL Compiler™, allow you to deploy simulation applications. This software platform allows you to create simulation applications and physics-based models.

FLOW-3D is a highly accurate CFD software that solves transient, free-surface issues. It can help you optimize product designs and reduce time to market. FLOW-3D's multiphysics suite also includes FlowSight, our state-of the-art postprocessor. FLOW-3D is a versatile CFD simulation platform that engineers can use to study the dynamic behavior liquids and gases in a variety of industrial applications and physical processes. FLOW-3D is a free surface and multiphase simulation platform that serves a wide range of industries, including aerospace, microfluidics and bio-medical devices as well as water civil infrastructure and automotive. FLOW-3D is a multiphysics tool that is unique in its power and versatility. It helps engineers achieve their modeling goals.

In markets where safety of welded assemblies are essential, analysis using TRANSWELD®, offers a global solution to anticipate welding defect. Our simulation software integrates multiple physical models to simulate the actual behavior of the metal when it is in a liquid/mushy condition to perform a comprehensive analysis of the material's evolution. TRANSWELD®, enables the study of the microstructure in the solid-state assembly. You can then ensure the conformity without having to go through the prototyping phase. Our software is 100% predicative. You can observe welding processes numerically using real conditions. You can, for example, visualize the heat source movements during the simulation of laser or arc welding.

FEATool Multiphysics – "Physics Simulator Made Easy" – a fully integrated physics simulation, FEA and CFD toolbox. FEATool Multiphysics provides a fully integrated simulation platform that includes a unified user interface for several multi-physics solvers such as OpenFOAM and Computational fluid dynamics (CFD), including SU2 Code and FEniCS. This allows users to model coupled physics phenomena, such as those found in fluid flow and heat transfer, structural, electromagnetics acoustics and chemical engineering applications. FEATool multiphysics is a trusted tool for engineers and researchers in the energy, automotive and semi-conductor industries.

Energy2D, a multiphysics simulation program based on computational physics and combining particle dynamics, models all three modes for heat transfer: conduction, convection and radiation. Energy2D runs fast on most computers, eliminating the need to switch between preprocessors and solvers and postprocessors that are usually required for computational fluid dynamics simulations. It allows you design "computational experiment" to test a hypothesis or solve a problem in engineering without resorting complex mathematics. There are also plans to support different fluid types and incorporate other types energy transformations. Energy2D's conduction is very accurate, but its convection and radioactivity parts are not. Energy2D should therefore be considered qualitative in cases involving convection and/or radiation. Energy2D has been used in more than 40 scientific publications.

ThirdAI (pronunciation is /TH@rdi/ Third eye), is an Artificial Intelligence startup that specializes in scalable and sustainable AI. ThirdAI accelerator develops hash-based processing algorithms to train and infer with neural networks. This technology is the result of 10 years' worth of innovation in deep learning mathematics. Our algorithmic innovation has shown that Commodity x86 CPUs can be made 15x faster than the most powerful NVIDIA GPUs to train large neural networks. This demonstration has reaffirmed the belief that GPUs are superior to CPUs when it comes to training neural networks. Our innovation will not only benefit AI training currently by switching to cheaper CPUs but also allow for the "unlocking” of AI training workloads on GPUs previously not possible.

Adaptive Research is pleased announce the immediate release CAESIM 2024, a simulation platform that provides advanced computational fluid dynamics modeling capabilities with multi-physics capabilities. The new release of software provides new tools and features that optimize the modeling process, and provide CFD engineers with fast simulation solutions.

Mipsology's Zebra is the ideal Deep Learning compute platform for neural network inference. Zebra seamlessly replaces or supplements CPUs/GPUs, allowing any type of neural network to compute more quickly, with lower power consumption and at a lower price. Zebra deploys quickly, seamlessly, without any knowledge of the underlying hardware technology, use specific compilation tools, or modifications to the neural network training, framework, or application. Zebra computes neural network at world-class speeds, setting a new standard in performance. Zebra can run on the highest throughput boards, all the way down to the smallest boards. The scaling allows for the required throughput in data centers, at edge or in the cloud. Zebra can accelerate any neural network, even user-defined ones. Zebra can process the same CPU/GPU-based neural network with the exact same accuracy and without any changes.

This tool is a model quantization tool to convolution neural networks (CNN). This tool can quantify both weights/biases as well as activations in 32-bit floating point (FP32) and 8-bit integer (INT8) formats, or any other bit depths. This tool can increase the inference performance and efficiency by ensuring accuracy. This tool supports all common layers in neural networks: convolution, pooling and fully-connected. It also supports batch normalization. Quantization tools do not require retraining the network or labeled data sets. Only one batch of photos is required. The process takes a few seconds to several hours depending on the size and complexity of the neural network. This allows for rapid model updates. This tool is collaboratively optimized for DeePhi DPU. It could generate INT8 format model file files required by DNNC.

OnScale is the original Cloud Engineering Simulation platform. It combines multiphysics solver technology and the unlimited compute power of cloud supercomputers to create a powerful platform for Cloud Engineering Simulation. OnScale allows engineers to run large numbers of full 3D multiphysics simulaions simultaneously. This allows them to create digital prototypes of high-tech devices. These digital representations can be used to capture the entire behavior of the device within its operating envelope. OnScale Solve is a cloud-based engineering simulation that provides a powerful, easy-to-use, and effective experience. OnScale Solve can run on both public and private cloud supercomputers. It includes a web-based UI, API to integrate into any design workflow, scripting language to customize engineering simulations and plugins to improve its modeling capabilities. OnScale Solve provides engineers with the ability to simulate data and train advanced AI/ML algorithms.

DigitalClone for Additive Manufacturing (DCAM) is a comprehensive suite of metal additive manufacturing simulation and modeling capabilities that allows for seamless design and analysis support. DC-AM uses a multiscale, multi-physics analysis approach to link the process - microstructure and fatigue relationship of additively produced parts to enable computational assessment for quality and performance. DC-AM encourages the adoption of AM in safety-critical sectors by providing unprecedented insight into build conditions and the characteristics and final parts. This allows for a reduction in time and cost, as well as allowing for a reduction in the time and costs required to qualify parts.

SwiftComp is a multiscale, multiphysics composite sim code that delivers 3D FEA accuracy at the speed of simple engineering models. SwiftComp makes it possible for engineers to model composites as easily and accurately as metals using traditional structural elements in their FEA codes. This allows them to capture all the microstructural details while preserving accuracy. SwiftComp enables unified modeling of 1D (beams), 2D(plates/shells) or 3D structures. This allows for the calculation of all the effective properties. SwiftComp can be used independently to simulate composite testing or as a plug in to your existing structural tools that support high-fidelity composites modeling. SwiftComp can calculate the best structural model to use in macroscopic structural analysis and perform dehomogenization in order to compute the pointwise stresses within the microstructure. SwiftComp interfaces directly with ABAQUS and ANSYS.

Metariver Technology Co., Ltd. develops innovative and creative computer-aided engineering (CAE) analysis S/W based upon the most recent HPC technology and S/W technologies including CUDA technology. We are changing the paradigm in CAE technology by using particle-based CAE technology, high-speed computation technology with GPUs, and CAE analysis software. Here is an introduction to our products. 1. Samadii-DEM: works with discrete element method and solid particles. 2. Samadii-SCIV (Statistical Contact In Vacuum): working with high vacuum system gas-flow simulation. 3. Samadii-EM (Electromagnetics) : For full-field interpretation 4. Samadii-Plasma: For Analysis of ion and electron behavior in an electromagnetic field. 5. Vampire (Virtual Additive Manufacturing System): Specializes in transient heat transfer analysis.

VSim is the Multiphysics Simulator Software that design engineers and researchers use to solve difficult problems. VSim's unique combination Finite-Difference Time Domain (FDTD), Particle in Cell (PIC) and Charged Fluid(Finite Volume), delivers accurate results in a variety situations, including plasma modelling. VSim is a parallel software program that can efficiently solve large scale problems. Simulations are run quickly using algorithms for high-performance computing systems. Trusted by researchers from 30 countries and used by engineers in a variety of industries, including aerospace and semiconductor manufacturing, VSim delivers results that are reliable. Tech-X's code was created by a group of computational scientists. VSim is available at many of the top research institutions around the world.

CFD is the only comprehensive, intuitive platform available for multidisciplinary design. Computational Fluid Dynamics (CFD) is a multiphysics system analysis technique that simulates fluid behavior and thermodynamic properties by using numerical models. Engineers can use the Cadence Fidelity CFD Platform to reduce the time and cost of physical testing for design processes such as propulsion and aerodynamics. The Fidelity CFD Platform is an end-toend CFD solution that is easy to use for multidisciplinary design, optimization, and other applications in the aerospace, automotive turbomachinery and marine industries. The platform's streamlined workflows and massively parallel architecture along with state-of-the art solver technology provide unprecedented performance and accuracy for today's design problems.

NVIDIA Picasso, a cloud service that allows you to build generative AI-powered visual apps, is available. Software creators, service providers, and enterprises can run inference on models, train NVIDIA Edify foundation model models on proprietary data, and start from pre-trained models to create image, video, or 3D content from text prompts. The Picasso service is optimized for GPUs. It streamlines optimization, training, and inference on NVIDIA DGX Cloud. Developers and organizations can train NVIDIA Edify models using their own data, or use models pre-trained by our premier partners. Expert denoising network to create photorealistic 4K images The novel video denoiser and temporal layers generate high-fidelity videos with consistent temporality. A novel optimization framework to generate 3D objects and meshes of high-quality geometry. Cloud service to build and deploy generative AI-powered image and video applications.

MapleSim can be used to create digital twins for virtual commissioning and system-level models for complex engineering designs projects. It is an advanced modeling tool that allows you to reduce development time, lower costs, diagnose real-world performance issues, and reduce development time. You can eliminate vibrations using better control code and not hardware upgrades. With detailed simulation results, diagnose root-cause performance issues. Validate new designs before they are physically prototyped. MapleSim is an advanced system-level simulation and modeling tool that uses modern techniques to significantly reduce model development time, provide more insight into system behavior and produce high-fidelity simulations.

Our unique, transient Lattice Boltzmann physics PowerFLOW CFD solution allows simulations to accurately predict real-world conditions by leveraging this unique technology. PowerFLOW suite allows engineers to evaluate product performance before any prototype is built. This is when budgets and design impact are most important. PowerFLOW imports complex model geometry and performs accurate and efficient aerodynamic, thermal management and aeroacoustic simulations. Automated domain modeling and turbulence modeling without the need to manually volume mesh or boundary layer mesh can be done with PowerFLOW. PowerFLOW simulations can be run confidently on a large number of compute cores running on common High Performance Computing platforms (HPC).

Geminus unleashes predictive intelligence by combining AI and physics with multifidelity modeling. Our first-principles AI transforms the physical world's constraints into resilient predictive models. Geminus uses sparse data to quickly analyze complex industrial systems and predict the impact on your business. Geminus' multi-fidelity approach merges models with data, allowing you to create highly accurate surrogates that are more than 1,000x faster than simulation. Geminus is the only tool that accurately quantifies model uncertainty. This allows you to be confident in your predictions, and the decisions they make. Geminus reduces the time it takes to create models from months to hours. It also requires far less data and computes more resources than traditional AI or simulation methods. Geminus models are infused with knowledge of the behavior of real-world systems.

Simcenter STAR -CCM+ is a multiphysics fluid dynamics (CFD), software that simulates products under real-world conditions. Simcenter STAR–CCM+ is a unique CFD simulation toolkit that allows for automated design exploration and optimization. This integrated environment contains everything you need, including CAD, automated meshing and multiphysics CFD. It also includes sophisticated postprocessing and design exploration. Engineers can efficiently explore the entire design space and make better design decisions quicker. Simcenter STAR -CCM+ provides additional insight that can be used to guide your design process, resulting in more innovative products that meet customer expectations.

Zyphra, an artificial intelligence company with offices in Palo Alto and Montreal, is growing in London. We're developing MaiaOS, an agent system that combines advanced research in next-gen neuronal network architectures (SSM-hybrids), long-term memories & reinforcement learning. We believe that the future of AGI is a combination of cloud-based and on-device strategies, with an increasing shift towards local inference. MaiaOS was built around a deployment platform that maximizes the efficiency of inference for real-time Intelligence. Our AI and product teams are drawn from top organizations and institutions, including Google DeepMind and Anthropic. They also come from Qualcomm, Neuralink and Apple. We have deep expertise across AI models, learning algorithms, and systems/infrastructure with a focus on inference efficiency and AI silicon performance. The Zyphra team is dedicated to democratizing advanced artificial intelligence systems.

Amazon EC2 instances G5 are the latest generation NVIDIA GPU instances. They can be used to run a variety of graphics-intensive applications and machine learning use cases. They offer up to 3x faster performance for graphics-intensive apps and machine learning inference, and up to 3.33x faster performance for machine learning learning training when compared to Amazon G4dn instances. Customers can use G5 instance for graphics-intensive apps such as video rendering, gaming, and remote workstations to produce high-fidelity graphics real-time. Machine learning customers can use G5 instances to get a high-performance, cost-efficient infrastructure for training and deploying larger and more sophisticated models in natural language processing, computer visualisation, and recommender engines. G5 instances offer up to three times higher graphics performance, and up to forty percent better price performance compared to G4dn instances. They have more ray tracing processor cores than any other GPU based EC2 instance.

Ansys SPEOS predicts how systems will perform in terms of illumination and optical performance. This saves prototyping time, costs, and improves product efficiency. Ansys SPEOS offers a user interface that is intuitive and comprehensive, enhanced productivity through the use of GPUs to preview simulations and easy access into the Ansys multiphysics ecosystem. The International Commission on Illumination has evaluated SPEOS against CIE 171-2006 test cases. This assessment evaluates the accuracy of light modeling software, and shows the performance benefits of Ansys SPEOS. You can intuitively explore the propagation and light in 3D by turning on the light in the virtual model. SPEOS Live preview functions allow you to design products interactively by combining simulation and rendering capabilities. You can reduce iteration time and speed-up your decision-making by performing simulations correctly, automatically designing optical surfaces, light guides, and optical lenses.

NVIDIA TensorRT provides an ecosystem of APIs to support high-performance deep learning. It includes an inference runtime, model optimizations and a model optimizer that delivers low latency and high performance for production applications. TensorRT, built on the CUDA parallel programing model, optimizes neural networks trained on all major frameworks. It calibrates them for lower precision while maintaining high accuracy and deploys them across hyperscale data centres, workstations and laptops. It uses techniques such as layer and tensor-fusion, kernel tuning, and quantization on all types NVIDIA GPUs from edge devices to data centers. TensorRT is an open-source library that optimizes the inference performance for large language models.

Generative AI has a profound impact on virtually every industry. It opens up new opportunities for creative workers and knowledge to solve the world's most pressing problems. NVIDIA is empowering generative AI with a powerful suite of cloud services, pretrained foundation models, cutting-edge frameworks and optimized inference engines. NVIDIA AI Foundations is an array of cloud services that enable customization across use cases in areas like text (NVIDIA NeMo™, NVIDIA Picasso), or biology (NVIDIA BIONeMo™. Enjoy the full potential of NeMo, Picasso and BioNeMo cloud-based services powered by NVIDIA DGX™ Cloud, an AI supercomputer. Marketing copy, storyline creation and global translation in many different languages. News, email, meeting minutes and information synthesis.

NVIDIA GPU Cloud is a GPU-accelerated cloud platform that is optimized for scientific computing and deep learning. NGC is responsible for a catalogue of fully integrated and optimized deep-learning framework containers that take full benefit of NVIDIA GPUs in single and multi-GPU configurations.

The NVIDIA HPC Software Developer Kit (SDK), includes the proven compilers and libraries, as well as software tools that maximize developer productivity and improve the portability and performance of HPC applications. NVIDIA HPC SDK C and C++, and Fortran compilers allow GPU acceleration of HPC simulation and modeling applications using standard C++ and Fortran, OpenACC® directives and CUDA®. GPU-accelerated math libraries maximize performance for common HPC algorithms. Optimized communications libraries allow standards-based multi-GPU programming and scalable systems programming. Debugging and performance profiling tools make porting and optimizing HPC applications easier. Containerization tools allow for easy deployment on-premises and in the cloud. The HPC SDK supports NVIDIA GPUs, Arm, OpenPOWER or x86 64 CPUs running Linux.

Amazon SageMaker Feature Store can be used to store, share and manage features for machine-learning (ML) models. Features are inputs to machine learning models that are used for training and inference. In an example, features might include song ratings, listening time, and listener demographics. Multiple teams may use the same features repeatedly, so it is important to ensure that the feature quality is high-quality. It can be difficult to keep the feature stores synchronized when features are used to train models offline in batches. SageMaker Feature Store is a secure and unified place for feature use throughout the ML lifecycle. To encourage feature reuse across ML applications, you can store, share, and manage ML-model features for training and inference. Any data source, streaming or batch, can be used to import features, such as application logs and service logs, clickstreams and sensors, etc.

NVIDIA Triton™, an inference server, delivers fast and scalable AI production-ready. Open-source inference server software, Triton inference servers streamlines AI inference. It allows teams to deploy trained AI models from any framework (TensorFlow or NVIDIA TensorRT®, PyTorch or ONNX, XGBoost or Python, custom, and more on any GPU or CPU-based infrastructure (cloud or data center, edge, or edge). Triton supports concurrent models on GPUs to maximize throughput. It also supports x86 CPU-based inferencing and ARM CPUs. Triton is a tool that developers can use to deliver high-performance inference. It integrates with Kubernetes to orchestrate and scale, exports Prometheus metrics and supports live model updates. Triton helps standardize model deployment in production.

NVIDIA DeepLearning GPU Training System (DIGITS), puts deep learning in the hands of data scientists and engineers. DIGITS is a fast and accurate way to train deep neural networks (DNNs), for image classification, segmentation, and object detection tasks. DIGITS makes it easy to manage data, train neural networks on multi-GPU platforms, monitor performance with advanced visualizations and select the best model from the results browser for deployment. DIGITS is interactive, so data scientists can concentrate on designing and training networks and not programming and debugging. TensorFlow allows you to interactively train models and TensorBoard lets you visualize the model architecture. Integrate custom plugs to import special data formats, such as DICOM, used in medical imaging.

Exafunction optimizes deep learning inference workloads, up to a 10% improvement in resource utilization and cost. Instead of worrying about cluster management and fine-tuning performance, focus on building your deep-learning application. Poor utilization of GPU hardware is a common problem in deep learning applications. Exafunction allows any GPU code to be moved to remote resources. This includes spot instances. Your core logic is still an inexpensive CPU instance. Exafunction has been proven to be effective in large-scale autonomous vehicle simulation. These workloads require complex custom models, high numerical reproducibility, and thousands of GPUs simultaneously. Exafunction supports models of major deep learning frameworks. Versioning models and dependencies, such as custom operators, allows you to be certain you are getting the correct results.

Darknet is an open-source framework for neural networks written in C and CUDA. It is easy to install and supports both CPU and GPU computation. The source code can be found on GitHub. You can also read more about Darknet's capabilities. Darknet is easy-to-install with only two dependencies: OpenCV if your preference is for a wider range of image types and CUDA if your preference is for GPU computation. Darknet is fast on the CPU, but it's about 500 times faster on the GPU. You will need an Nvidia GPU, and you'll need to install CUDA. Darknet defaults to using stb_image.h to load images. OpenCV is a better alternative to Darknet. It supports more formats, such as CMYK jpegs. Thanks to Obama! OpenCV allows you to view images, and detects without saving them to disk. You can classify images using popular models such as ResNet and ResNeXt. For NLP and time-series data, recurrent neural networks are a hot trend.

Caffe is a deep-learning framework that focuses on expression, speed and modularity. It was developed by Berkeley AI Research (BAIR), and community contributors. The project was created by Yangqing Jia during his PhD at UC Berkeley. Caffe is available under the BSD 2-Clause License. Check out our web image classification demo! Expressive architecture encourages innovation and application. Configuration is all that is required to define models and optimize them. You can switch between CPU and GPU by setting one flag to train on a GPU, then deploy to commodity clusters of mobile devices. Extensible code fosters active development. Caffe was forked by more than 1,000 developers in its first year. Many significant changes were also made back. These contributors helped to track the state of the art in code and models. Caffe's speed makes it ideal for industry deployment and research experiments. Caffe can process more than 60M images per hour using a single NVIDIA GPU K40.

The Akselos Cloud platform provides a complete Digital Twin framework through the cloud. It offers an end-to-end solution that automates asset condition updates and asset loads, as well as clear dashboards that show current asset integrity.

Qubrid AI is a company that specializes in Artificial Intelligence. Its mission is to solve complex real-world problems across multiple industries. Qubrid AI’s software suite consists of AI Hub, an all-in-one shop for AI models, AI Compute GPU cloud and On-Prem appliances, and AI Data Connector. You can train infer-leading models, or your own custom creations. All within a streamlined and user-friendly interface. Test and refine models with ease. Then, deploy them seamlessly to unlock the power AI in your projects. AI Hub enables you to embark on a journey of AI, from conception to implementation, in a single powerful platform. Our cutting-edge AI Compute Platform harnesses the power from GPU Cloud and On Prem Server Appliances in order to efficiently develop and operate next generation AI applications. Qubrid is a team of AI developers, research teams and partner teams focused on enhancing the unique platform to advance scientific applications.

EMWorks offers the best-in-class electromagnetic simulation software to support electrical and electronic design. It also has multiphysics capabilities. The company's products can be seamlessly integrated in Autodesk Inventor® and SOLIDWORKS. Applications include power electronics, antennas and RF components, signal integrity and power of high speed interconnects, and electromechanical and power electronics. EMS is an electromagnetic field simulation program that can be used to optimize electromagnetic and electromechanical devices, such as transformers and electric motors, actuators and sensors within Autodesk®, and Inventor®.

We conduct cutting-edge research in artificial intelligence and implement it to give financial investors an advantage. Transforming the financial market through groundbreaking neuro-prediction. Our algorithms combine graph-based learning and deep reinforcement learning algorithms to model and predict time series. Neuri aims to generate synthetic data that mimics the global financial markets and test it with complex simulations. Quantum optimization is the future of supercomputing. Our simulations will be able to exceed the limits of classical supercomputing. Financial markets are dynamic and change over time. We develop AI algorithms that learn and adapt continuously to discover the connections between different financial assets, classes, and markets. The application of neuroscience-inspired models, quantum algorithms and machine learning to systematic trading at this point is underexplored.

Mesh can affect the speed, accuracy, convergence, and speed of a simulation. Ansys offers tools to create the best mesh for precise, efficient solutions. Ansys is a general-purpose, high-performance, intelligent, automated meshing software that produces the best mesh for precise, efficient multiphysics solutions. It can be used to create simple, automatic meshing or highly crafted mesh. Smart defaults are integrated into the software to make meshing easy and intuitive. They deliver the required resolution to properly capture solution gradients for reliable results. Ansys offers a variety of meshing options, from automated meshing to hand-crafted meshing. There are many options available for meshing high-order elements to linear elements, fast tetrahedrals and polyhedrals to high-quality hexagonal and mosaic. Ansys meshing capabilities reduce time and effort required to achieve accurate results.

NeuroIntelligence, a software application for neural networks, is designed to help experts in data mining, predictive modeling, pattern recognition, and neural network design in solving real-world problems. NeuroIntelligence uses only proven neural net modeling algorithms and techniques. It is easy to use and fast. Visualized architecture search, training and testing of neural networks. Neural network architecture search. Fitness bars. Network training graphs comparison. Training graphs, dataset error and network error, weights distribution, neural network input importance, and errors distribution Testing, actual vs. output graph, scatter plot and response graph, ROC curve and confusion matrix. NeuroIntelligence's interface is optimized to solve data mining and forecasting, classification, and pattern recognition problems. The tool's intuitive GUI and time-saving features make it easy to create a better solution faster.

NVIDIA NIM's microservices allow you to deploy AI agents anywhere, while allowing you to explore the latest AI models. NVIDIA NIM provides a set easy-to-use microservices for inference that allows the deployment of foundational models across any data center or cloud, while ensuring data security. NVIDIA AI also provides access to the Deep Learning Institute, which offers technical training for AI, data science and accelerated computing. AI models produce responses and outputs that are based on complex machine learning algorithms. These responses or outputs can be inaccurate, harmful or indecent. By testing this model you accept all risk for any harm caused by the model's output or response. Please do not upload confidential or personal information unless explicitly permitted. Your use is recorded for security reasons.

Ansys Totem SC is the industry's trusted leader in power noise and reliability signoffs for analog and mixed signal designs that are built on cloud-native elastic computing infrastructure. Ansys Totem SC is the industry's most trusted standard for voltage drop and electromigration multiphysics signoff solutions for transistor-level and mixed signal designs. Totem-SC has a proven track record of thousands upon thousands of tapeouts. Its cloud-based architecture gives it speed and capacity to handle full-chip analyses. All major foundries have certified signoff accuracy for all finFET nodes below 3nm. Ansys Totem SC is a transistor level power noise and reliability analysis platform that can analyze analog mixed-signal IP as well as fully custom designs. It generates IP models for RedHawk SC-level power integrity signoff and compact chip models for power delivery networks at the chip- and system-level. Industry-proven, foundry-certified analog/mixed-signal EM/IR solution.

There are options for every business to train deep and machine learning models efficiently. There are AI accelerators that can be used for any purpose, from low-cost inference to high performance training. It is easy to get started with a variety of services for development or deployment. Tensor Processing Units are ASICs that are custom-built to train and execute deep neural network. You can train and run more powerful, accurate models at a lower cost and with greater speed and scale. NVIDIA GPUs are available to assist with cost-effective inference and scale-up/scale-out training. Deep learning can be achieved by leveraging RAPID and Spark with GPUs. You can run GPU workloads on Google Cloud, which offers industry-leading storage, networking and data analytics technologies. Compute Engine allows you to access CPU platforms when you create a VM instance. Compute Engine provides a variety of Intel and AMD processors to support your VMs.

NetApp AIPod is an advanced AI infrastructure solution designed to simplify the deployment and management of artificial intelligence workflows. Combining NVIDIA-validated systems like DGX BasePOD™ with NetApp’s cloud-connected all-flash storage, it offers a unified platform for analytics, training, and inference. This scalable solution enables organizations to accelerate AI adoption, streamline data workflows, and ensure seamless integration across hybrid cloud environments. With preconfigured, optimized infrastructure, AIPod reduces operational complexity and helps businesses gain insights faster while maintaining robust data security and management capabilities.