I hate paying for GPUs while developing – this is how I solved it

Show HN: I hate paying for GPUs while developing – this is how I solved it

I hate paying for GPUs while developing – this is how I solved it is a company in show hn launch.

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So let's face it, if you’re doing anything with deep learning, GPUs are essential.They’re expensive, and setting up infrastructure is painful. Most of the time, your GPUs sit idle while you’re coding, yet you still pay for uptime when scripts fail on the first try.I ran into this as a “GPU poor” researcher. Tasks like downloading datasets or transforming data don’t need a GPU, but traditional setups force you to use one. Cloud setups don’t help—VMs with GPUs require manual environment setup, CUDA installations, or Docker containers just to get started. Multi-GPU training adds more headaches: not all images support NCCL, so communication between nodes can failAt my research lab[1], we run exp

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Website: adithyask.medium.com/write-deep-learning-code-locally-and-run-on-gpus-instantly-6f173104b334