Building a Data Science Workstation (2017)
Read OriginalThe article details the author's experience building a custom data science workstation for learning Docker and GPU computing. It provides a full parts list, rationale for choosing consumer-grade components over server-grade, and a 2018 update adding a second GPU, a larger case, and water cooling. The focus is on cost-effective, high-performance hardware for technical experimentation.
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