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                                        Artificial intelligence
                                                
            
        

        

        
    
    
        
        
        AI deep learning high-performance storage
        
        
        YRCloudFile builds a set of distributed file storage with infinite horizontal expansion of capacity and performance for AI users through standard X86 devices, and provides concurrent access support for tens of thousands of clients of deep learning pl...
        
    
        

        

        
    
        
        
        Scheme Consultation
    
        

        


        
    
        
        
        Data is what drives the AI revolution
                
        
            YRCloudFile uses the standard X86 server on the market to build a set of distributed file storage with unlimited capacity and performance, which can carry tens of billions of small files of tens of KB, and provide concurrent access support for tens o...
        
        
    
        

        
                            
        
                
        
                    
        High-performance data access shortens the training process
        
                    
        
                                                    
        
                                
        
                                    
                                
        
                                
        
                                
        High-performance storage shorters IO access paths
        
                            
        
                                                    
        
                                
        
                                    
                                
        
                                
        
                                
        Support for networks based on the RDMA (Remote Direct Memory Access) protocol, such as IB networks, improves the efficiency of concurrent data processing
        
                            
        
                                                    
        
                                
        
                                    
                                
        
                                
        
                                
        By improving the performance of the file system, the GPU is continuously in a state of high efficiency, thus shortening the deep learning training time
        
                            
        
                                            
        
                
        
            
        
                                    
        
                
        
                    
        Hosting massive files will no longer be a problem
        
                    
        
                                                    
        
                                
        
                                    
                                
        
                                
        
                                
        The deep learning training process is based on massive files, and the scale of data is the key means for artificial intelligence enterprises to improve the accuracy of models. Various artificial intelligence enterprises iterate billions of pictures a...
        
                            
        
                                                    
        
                                
        
                                    
                                
        
                                
        
                                
        The YRCloudFile metadata cluster can be expanded online on demand, and a single cluster can carry tens of billions of files. The file access performance does not degrade in massive file scenarios, and the number of files carried by a single file syst...
        
                            
        
                                            
        
                
        
            
        
                                    
        
                
        
                    
        Multi-level intelligent cache reduces data loading across the network
        
                    
        
                                                    
        
                                
        
                                    
                                
        
                                
        
                                
        In the model training stage of AI deep learning, the data volume of each training set is about several hundred GB to several TB, and the IO is mainly read. The traditional distributed file system can only improve the data loading performance of the c...
        
                            
        
                                                    
        
                                
        
                                    
                                
        
                                
        
                                
        YRCloudFile intelligent cache technology, fully transparent to AI training tasks, combined with AI-oriented replacement algorithm, greatly improve the hit rate of data loading during the training process, data loading performance can be increased by ...
        
                            
        
                                            
        
                
        
            
        
                                    
        
                
        
                    
        Provide data for containerized training tasks
        
                    
        
                                                    
        
                                
        
                                    
                                
        
                                
        
                                
        AI enterprises are increasingly using the Kubernetes orchestration platform to schedule training tasks and resources such as Gpus, and training tasks are gradually running in containers.
        
                            
        
                                                    
        
                                
        
                                    
                                
        
                                
        
                                
        From the product positioning, YRCloudFile has designed a large number of container-oriented Persistent storage functions, including Quota configuration at the Persistent Volume level, QoS speed limit, ACL control and so on.
        
                            
        
                                                    
        
                                
        
                                    
                                
        
                                
        
                                
        These capabilities enable Kubernetes to plan and schedule YRCloudFile storage capabilities, and enable training tasks to manage and access training data in YRCloudFile via PV.
        
                            
        
                                            
        
                
        
            
        
                                    
        
                
        
                    
        Program advantage
        
                    
        
                                                    
        
                                
        
                                    
                                
        
                                
        
                                
        AI head enterprise recognition
        
                            
        
                                                    
        
                                
        
                                    
                                
        
                                
        
                                
        Industry-leading performance levels
        
                            
        
                                                    
        
                                
        
                                    
                                
        
                                
        
                                
        The performance of massive small files does not degrade
        
                            
        
                                                    
        
                                
        
                                    
                                
        
                                
        
                                
        Supports containerized training tasks
        
                            
        
                                            
        
                
        
            
        
        

        

        
    
        
        
        YRCloudFile Architecture of high-performance distributed file storage
                
        
            
        
                        
    
        

        
    


    
        
        
        
            
        
                
        Product
        
                
        
                    
        
                        
        
                                                            
        
                                    
                                        
                                    
                                    
        
                                        
        YRCloudFile High-performance distributed file storage
        
                                        
        
                                            
                                                YRCloudFile is a high-performance distributed file storage system launched by Yrong Technology, which provides high-performance, high-availability and high-scalability file access interfaces, supports mainstream container orcheentation frameworks suc...
                                            
                                            
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                                            YRCloudFile is a high-performance distributed file storage system launched by Yrong Technology, which provides high-performance, high-availability and high-scalability file access interfaces, supports mainstream container orcheentation frameworks suc...
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    										Product Consultation
    									
                                    
        
                                
        
                                                            
        
                                    
                                        
                                    
                                    
        
                                        
        F8000X series flash storage machine
        
                                        
        
                                            
                                                Full flash distributed storage machine Yanrong F8000X series is a new generation of full flash distributed file storage machine products created by Yanrong Technology in order to perfectly match the data processing needs of GPU. It is equipped with t...
                                            
                                            
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                                            Full flash distributed storage machine Yanrong F8000X series is a new generation of full flash distributed file storage machine products created by Yanrong Technology in order to perfectly match the data processing needs of GPU. It is equipped with t...
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    										Product Consultation
    									
                                    
        
                                
        
                                                    
        
                        
        
                        
        
                        
        
                    
        
                
        
            
        
        
        
    
        

        





    

    
            
     
    
    
    
    
    

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          4. 
<acronym id="9kgki"></acronym>
          <b id="9kgki"><abbr id="9kgki"></abbr></b>