| NVIDIA ModulusNVIDIA | ||||||
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| About
            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.
             | About
            NVIDIA Modulus is a neural network framework that blends the power of physics in the form of governing partial differential equations (PDEs) with data to build high-fidelity, parameterized surrogate models with near-real-time latency. Whether you’re looking to get started with AI-driven physics problems or designing digital twin models for complex non-linear, multi-physics systems, NVIDIA Modulus can support your work. Offers building blocks for developing physics machine learning surrogate models that combine both physics and data. The framework is generalizable to different domains and use cases—from engineering simulations to life sciences and from forward simulations to inverse/data assimilation problems. Provides parameterized system representation that solves for multiple scenarios in near real time, letting you train once offline to infer in real time repeatedly.
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| Audience
        Engineers and data scientists seeking a deep learning GPU training system solution to improve their image classification research 
         | Audience
        Organizations looking for a powerful Physics Machine Learning platform
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| Company InformationNVIDIA DIGITS Founded: 1993 United States developer.nvidia.com/digits | Company InformationNVIDIA Founded: 1993 United States developer.nvidia.com/modulus | |||||
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| Integrations
            
                
    Caffe
            
            
         
            
                
    Dask
            
            
         
            
                
    NetApp AIPod
            
            
         
            
                
    TensorFlow
            
            
         
            
                
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