{"categories":[{"label":"Software Development","url":"https://skillfed.io/packages/category/software-development/15"},{"label":"Libraries","url":"https://skillfed.io/packages/category/software-development-libraries/8"},{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/6"},{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/18"},{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/9"},{"label":"Mathematics","url":"https://skillfed.io/packages/category/scientific-engineering-mathematics/3"}],"enrichment":{"capability":"TensorFlow for aarch64 is a machine learning framework that enables numerical computation and deep learning across CPUs, GPUs, TPUs, and edge devices on ARM-based systems.","skillfed_tags":["machine-learning","deep-learning","arm64"],"use_cases":["Train and deploy deep learning models on ARM-based servers or data center hardware.","Build machine learning pipelines on edge devices or systems running aarch64 Linux.","Develop computer vision or NLP applications targeting ARM processors with optional GPU acceleration.","Perform numerical research and scientific computing on aarch64 clusters or cloud instances.","Deploy inference models on ARM-based mobile or embedded systems."],"what_it_does":"TensorFlow-aarch64 is a specialized build of the TensorFlow machine learning framework optimized for ARM processors. It provides the same core functionality as standard TensorFlow\u2014building and training neural networks, numerical computation, and inference\u2014but compiled and packaged specifically for aarch64 systems, making it suitable for deployment on ARM-based servers, edge devices, and mobile platforms.\n\nThe package brings TensorFlow's full ecosystem to aarch64 platforms, including support for GPU acceleration via NVIDIA CUDA (versions 12 and 12.2), integration with keras for high-level model building, and tensorboard for visualization. With 22 runtime dependencies spanning numerical libraries (numpy, h5py), protocol buffers, and grpcio, it is a heavyweight framework designed for serious machine learning workloads rather than lightweight inference.","worth_installing":"Yes, if you are developing or deploying machine learning on aarch64 systems. The package is production-stable, actively maintained, permissively licensed, and has no known vulnerabilities. Install friction is moderate due to dependencies, but unavoidable for serious ML work. Not necessary if you only target other architectures or do not require ARM-specific optimization."},"id":"tensorflow-aarch64","links":{"html":"https://skillfed.io/packages/tensorflow-aarch64","md":"https://skillfed.io/packages/tensorflow-aarch64.md","pypi":"https://pypi.org/project/tensorflow-aarch64/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2024-03-14","license_spdx":null,"license_treatment":"permissive","name":"tensorflow-aarch64","python_support":"supports_current","summary":"TensorFlow is an open source machine learning framework for everyone."},"popularity":{"monthly_downloads":143548,"position":11173,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"2.16.1"}