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| About
            Flower is an open source federated learning framework designed to simplify the development and deployment of machine learning models across decentralized data sources. It enables training on data located on devices or servers without transferring the data itself, thereby enhancing privacy and reducing bandwidth usage. Flower supports a wide range of machine learning frameworks, including PyTorch, TensorFlow, Hugging Face Transformers, scikit-learn, and XGBoost, and is compatible with various platforms and cloud services like AWS, GCP, and Azure. It offers flexibility through customizable strategies and supports both horizontal and vertical federated learning scenarios. Flower's architecture allows for scalable experiments, with the capability to handle workloads involving tens of millions of clients. It also provides built-in support for privacy-preserving techniques like differential privacy and secure aggregation.
             | About
            Groq is on a mission to set the standard for GenAI inference speed, helping real-time AI applications come to life today. An LPU inference engine, with LPU standing for Language Processing Unit, is a new type of end-to-end processing unit system that provides the fastest inference for computationally intensive applications with a sequential component, such as AI language applications (LLMs). The LPU is designed to overcome the two LLM bottlenecks, compute density and memory bandwidth. An LPU has greater computing capacity than a GPU and CPU in regards to LLMs. This reduces the amount of time per word calculated, allowing sequences of text to be generated much faster. Additionally, eliminating external memory bottlenecks enables the LPU inference engine to deliver orders of magnitude better performance on LLMs compared to GPUs. Groq supports standard machine learning frameworks such as PyTorch, TensorFlow, and ONNX for inference. 
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| Audience
        Machine learning practitioners and researchers in search of a tool to implement privacy-preserving, decentralized model training across diverse devices and platforms
         | Audience
        Companies searching for a solution to reduce developer complexity and accelerate time-to-production and ROI
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| Pricing
        Free
        
     
            
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| Training
            
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| Company InformationFlower Founded: 2023 Germany flower.ai/ | Company InformationGroq United States wow.groq.com | |||||
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| Integrations
            
                
    PyTorch
            
            
         
            
                
    TensorFlow
            
            
         
            
                
    AgentAuth
            
            
         
            
                
    AnotherWrapper
            
            
         
            
                
    Codestral Mamba
            
            
         
            
                
    E2B
            
            
         
            
                
    Hunch
            
            
         
            
                
    JAX
            
            
         
            
                
    Langtail
            
            
         
            
                
    Langtrace
            
            
         | Integrations
            
                
    PyTorch
            
            
         
            
                
    TensorFlow
            
            
         
            
                
    AgentAuth
            
            
         
            
                
    AnotherWrapper
            
            
         
            
                
    Codestral Mamba
            
            
         
            
                
    E2B
            
            
         
            
                
    Hunch
            
            
         
            
                
    JAX
            
            
         
            
                
    Langtail
            
            
         
            
                
    Langtrace
            
            
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