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| About
             ONNX defines a common set of operators - the building blocks of machine learning and deep learning models - and a common file format to enable AI developers to use models with a variety of frameworks, tools, runtimes, and compilers. Develop in your preferred framework without worrying about downstream inferencing implications. ONNX enables you to use your preferred framework with your chosen inference engine. ONNX makes it easier to access hardware optimizations. Use ONNX-compatible runtimes and libraries designed to maximize performance across hardware. Our active community thrives under our open governance structure, which provides transparency and inclusion. We encourage you to engage and contribute. 
             | About
            Develop on your laptop and then scale the same Python code elastically across hundreds of nodes or GPUs on any cloud, with no changes. Ray translates existing Python concepts to the distributed setting, allowing any serial application to be easily parallelized with minimal code changes. Easily scale compute-heavy machine learning workloads like deep learning, model serving, and hyperparameter tuning with a strong ecosystem of distributed libraries. Scale existing workloads (for eg. Pytorch) on Ray with minimal effort by tapping into integrations. Native Ray libraries, such as Ray Tune and Ray Serve, lower the effort to scale the most compute-intensive machine learning workloads, such as hyperparameter tuning, training deep learning models, and reinforcement learning. For example, get started with distributed hyperparameter tuning in just 10 lines of code. Creating distributed apps is hard. Ray handles all aspects of distributed execution.
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| Platforms Supported
            
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         | Platforms Supported
            
                Windows
            
            
         
            
                Mac
            
            
         
            
                Linux
            
            
         
            
                Cloud
            
            
         
            
                On-Premises
            
            
         
            
                iPhone
            
            
         
            
                iPad
            
            
         
            
                Android
            
            
         
            
                Chromebook
            
            
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| Audience
        Individuals wanting an advanced Machine Learning solution
         | Audience
        ML and AI Engineers, Software Developers
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| Pricing
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| Training
            
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                In Person
            
            
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                Documentation
            
            
         
            
                Webinars
            
            
         
            
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| Company InformationONNX onnx.ai/ | Company InformationAnyscale Founded: 2019 United States ray.io | |||||
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| Integrations
            
                
    Flyte
            
            
         
            
                
    Amazon EC2 Trn2 Instances
            
            
         
            
                
    Amazon EKS
            
            
         
            
                
    Amazon Web Services (AWS)
            
            
         
            
                
    Anyscale
            
            
         
            
                
    Apache Airflow
            
            
         
            
                
    Azure Kubernetes Service (AKS)
            
            
         
            
                
    Cirrascale
            
            
         
            
                
    Dask
            
            
         
            
                
    Databricks Data Intelligence Platform
            
            
         | Integrations
            
                
    Flyte
            
            
         
            
                
    Amazon EC2 Trn2 Instances
            
            
         
            
                
    Amazon EKS
            
            
         
            
                
    Amazon Web Services (AWS)
            
            
         
            
                
    Anyscale
            
            
         
            
                
    Apache Airflow
            
            
         
            
                
    Azure Kubernetes Service (AKS)
            
            
         
            
                
    Cirrascale
            
            
         
            
                
    Dask
            
            
         
            
                
    Databricks Data Intelligence Platform
            
            
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