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What is Fabric for Deep Learning (FfDL)?
                Deep learning frameworks such as TensorFlow, PyTorch, Caffe, Torch, Theano, and MXNet have greatly improved the ease with which deep learning models can be designed, trained, and utilized. Fabric for Deep Learning (FfDL, pronounced "fiddle") provides a unified approach for deploying these deep-learning frameworks as a service on Kubernetes, facilitating seamless functionality. The FfDL architecture is constructed using microservices, which reduces the reliance between components, enhances simplicity, and ensures that each component operates in a stateless manner. This architectural choice is advantageous as it allows failures to be contained and promotes independent development, testing, deployment, scaling, and updating of each service. By leveraging Kubernetes' capabilities, FfDL creates an environment that is highly scalable, resilient, and capable of withstanding faults during deep learning operations. Furthermore, the platform includes a robust distribution and orchestration layer that enables efficient processing of extensive datasets across several compute nodes within a reasonable time frame. Consequently, this thorough strategy guarantees that deep learning initiatives can be carried out with both effectiveness and dependability, paving the way for innovative advancements in the field.
            
        
            What is DeepCube?
                DeepCube is committed to pushing the boundaries of deep learning technologies, focusing on optimizing the real-world deployment of AI systems in a variety of settings. Among its numerous patented advancements, the firm has created methods that greatly enhance both the speed and precision of training deep learning models while also boosting inference capabilities. Their innovative framework seamlessly integrates with any current hardware, from data centers to edge devices, achieving improvements in speed and memory efficiency that exceed tenfold. Additionally, DeepCube presents the only viable solution for effectively implementing deep learning models on intelligent edge devices, addressing a crucial challenge within the industry. Historically, deep learning models have required extensive processing power and memory after training, which has limited their use primarily to cloud-based environments. With DeepCube's groundbreaking solutions, this paradigm is set to shift, significantly broadening the accessibility and efficiency of deep learning models across a multitude of platforms and applications. This transformation could lead to an era where AI is seamlessly integrated into everyday technologies, enhancing both user experience and operational effectiveness.
            
        
            Integrations Supported
            
                
    Caffe
            
            
        
        
    
        
        
            
                
    Kubernetes
            
            
        
        
    
        
        
            
                
    PyTorch
            
            
        
        
    
        
        
            
                
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    Torch
            
            
        
        
    
                
            API Availability
            
                Has API
            
            
        
        
    
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                Has API
            
            
        
        
    
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                Free Trial Offered?
            
            
        
        
    
        
        
            
                Free Version
            
            
        
        
    
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                Free Trial Offered?
            
            
        
        
    
        
        
            
                Free Version
            
            
        
        
    
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                SaaS
            
            
        
        
    
        
        
            
                Android
            
            
        
        
    
        
        
            
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                SaaS
            
            
        
        
    
        
        
            
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                Customer Service / Support
            
                Standard Support
            
            
        
        
    
        
        
            
                24 Hour Support
            
            
        
        
    
        
        
            
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                Standard Support
            
            
        
        
    
        
        
            
                24 Hour Support
            
            
        
        
    
        
        
            
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                Training Options
            
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                Training Options
            
                Documentation Hub
            
            
        
        
    
        
        
            
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                Company Facts
Organization Name
IBM
Date Founded
1911
Company Location
United States
Company Website
developer.ibm.com/open/projects/fabric-for-deep-learning-ffdl/
Company Facts
Organization Name
DeepCube
Company Location
Israel
Company Website
www.deepcube.com/technology/
Categories and Features
Deep Learning
                                        Convolutional Neural Networks
                                        
                                    
                                    
                                    
                                        Document Classification
                                        
                                    
                                    
                                    
                                        Image Segmentation
                                        
                                    
                                    
                                    
                                        ML Algorithm Library
                                        
                                    
                                    
                                    
                                        Model Training
                                        
                                    
                                    
                                    
                                        Neural Network Modeling
                                        
                                    
                                    
                                    
                                        Self-Learning
                                        
                                    
                                    
                                    
                                        Visualization
                                        
                                    
                            
                        Categories and Features
Deep Learning
                                        Convolutional Neural Networks
                                        
                                    
                                    
                                    
                                        Document Classification
                                        
                                    
                                    
                                    
                                        Image Segmentation
                                        
                                    
                                    
                                    
                                        ML Algorithm Library
                                        
                                    
                                    
                                    
                                        Model Training
                                        
                                    
                                    
                                    
                                        Neural Network Modeling
                                        
                                    
                                    
                                    
                                        Self-Learning
                                        
                                    
                                    
                                    
                                        Visualization