Building a powerful deep learning workstation

This page summarizes the projects mentioned and recommended in the original post on /r/buildapcforme

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  • Pytorch

    Tensors and Dynamic neural networks in Python with strong GPU acceleration

  • We will do no gaming whatsoever. The jobs will focus on training deep-learning models, for which we will predominantly use pytorch, which runs on CUDA. We will *exclusively* handle image data, which may come in scales of MB per image ranging until TB per image, hence, fast file transfer speeds from mainboard/storage to GPU is very important. Some of the data may have to be copied from an external fileserver, and then be stored temporarily on the local drives for processing. Thus, we also need high file transfer through the LAN connection.

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    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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