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ML student weighs local GPU vs. cloud for DL, RL, LLM studies

A user on r/MachineLearning is seeking advice on whether to invest in a local NVIDIA 5060 Ti 16GB GPU or utilize cloud services for their studies in deep learning, reinforcement learning, and large language models. They are currently using a MacBook Pro with an M4 chip but find its MPS capabilities insufficient for tasks requiring CUDA support. The user is weighing the costs and benefits of building a local machine versus the flexibility and potential cost-effectiveness of cloud platforms like Modal, especially as they are in a job-seeking phase. AI

IMPACT Guidance for individuals choosing between local hardware and cloud computing for AI research and learning.

RANK_REASON User query seeking advice on hardware/cloud choices for ML studies.

Read on r/MachineLearning →

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  1. r/MachineLearning TIER_1 English(EN) · /u/hedgehog0 ·

    5060 Ti 16GB or Cloud: Which makes more sense for DL, RL, and LLM studies/research? [D]

    <!-- SC_OFF --><div class="md"><p>Hi everyone,</p> <p>If you have purchased (at least one) GPU(s) for ML/DL studies and research: <em>How is your experience and is it worth it? What do you use it for and how is the ROI?</em></p> <p>I have a MacBook Pro with M4 from some years ago…