| Compute with HivenetHivenet | ||||||
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| About
            Compute with Hivenet is the world's first truly distributed cloud computing platform, providing reliable and affordable on-demand computing power from a certified network of contributors. 
Designed for AI model training, inference, and other compute-intensive tasks, it provides secure, scalable, and on-demand GPU resources at up to 70% cost savings compared to traditional cloud providers. Powered by RTX 4090 GPUs, Compute rivals top-tier platforms, offering affordable, transparent pricing with no hidden fees.
Compute is part of the Hivenet ecosystem, a comprehensive suite of distributed cloud solutions that prioritizes sustainability, security, and affordability. Through Hivenet, users can leverage their underutilized hardware to contribute to a powerful, distributed cloud infrastructure.
             | About
            Distributed AI is a computing paradigm that bypasses the need to move vast amounts of data and provides the ability to analyze data at the source. Distributed AI APIs built by IBM Research is a set of RESTful web services with data and AI algorithms to support AI applications across hybrid cloud, distributed, and edge computing environments. Each Distributed AI API addresses the challenges in enabling AI in distributed and edge environments with APIs. The Distributed AI APIs do not focus on the basic requirements of creating and deploying AI pipelines, for example, model training and model serving. You would use your favorite open-source packages such as TensorFlow or PyTorch. Then, you can containerize your application, including the AI pipeline, and deploy these containers at the distributed locations. In many cases, it’s useful to use a container orchestrator such as Kubernetes or OpenShift operators to automate the deployment process. 
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| Platforms Supported
            
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                Windows
            
            
         
            
                Mac
            
            
         
            
                Linux
            
            
         
            
                Cloud
            
            
         
            
                On-Premises
            
            
         
            
                iPhone
            
            
         
            
                iPad
            
            
         
            
                Android
            
            
         
            
                Chromebook
            
            
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| Audience
        Compute is ideal for developers and small to mid-sized businesses, startups, and enterprises that require cost-effective, scalable compute power for AI, machine learning, data analysis, and high-performance workloads.
         | Audience
        Developers interested in a solution offering data and AI algorithms to support their AI applications
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| Support
            
                Phone Support
            
            
         
            
                24/7 Live Support
            
            
         
            
                Online
            
            
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                Phone Support
            
            
         
            
                24/7 Live Support
            
            
         
            
                Online
            
            
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                Offers API
            
            
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| Pricing
        $0.10/hour
        
     
            
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        No information available.
        
        
     
            
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| Training
            
                Documentation
            
            
         
            
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                Documentation
            
            
         
            
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| Company InformationHivenet Founded: 2022 compute.hivenet.com | Company InformationIBM United States developer.ibm.com/apis/catalog/edgeai--distributed-ai-apis/Introduction/ | |||||
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| Integrations
            
                
    Kubernetes
            
            
         
            
                
    Amazon Web Services (AWS)
            
            
         
            
                
    Google Cloud Platform
            
            
         
            
                
    Microsoft Azure
            
            
         
            
                
    PyTorch
            
            
         
            
                
    Red Hat OpenShift
            
            
         
            
                
    TensorFlow
            
            
         | Integrations
            
                
    Kubernetes
            
            
         
            
                
    Amazon Web Services (AWS)
            
            
         
            
                
    Google Cloud Platform
            
            
         
            
                
    Microsoft Azure
            
            
         
            
                
    PyTorch
            
            
         
            
                
    Red Hat OpenShift
            
            
         
            
                
    TensorFlow
            
            
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