AI Software Frameworks

AI software frameworks provide the development tools and runtime environments used to build, train and deploy machine learning models. Platforms such as model training frameworks, orchestration tools and inference engines allow developers to manage the full lifecycle of AI applications.

CUDA

CUDA is a proprietary parallel computing platform and application programming interface that allows software to use certain types of graphics…

Kubernetes

Kubernetes is an open-source platform used to automate the deployment, scaling, and management of containerized applications across clusters of servers….

ONNX (Open Neural Network Exchange)

ONNX (Open Neural Network Exchange) is an open-source standard for representing machine learning and deep learning models in a portable,…

PyTorch

PyTorch is an open-source machine learning and deep learning framework widely used for building, training, and deploying AI models. It…

TensorFlow

TensorFlow is an open-source machine learning and artificial intelligence (AI) framework developed by Google that allows developers to build, train,…

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NodeWeaver: Minimizes the total lifecycle cost of deploying, managing, and operating edge compute by addressing the main drivers of cost and complexity.​ https://www.nodeweaver.eu/

OnLogic: A global industrial PC manufacturer and solution provider focused on hardware for IoT and edge AI, designing highly-configurable computers engineered for reliability. https://www.onlogic.com/

Zenlayer: A massively distributed edge cloud service provider operating over 270 PoPs around the world, with expertise in fast-growing emerging markets. https://www.zenlayer.com/

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