Spell – simple, remote GPU execution
We'd like to introduce HN to Spell, which is a tool for easily running ML/DL jobs remotely. As Deep Learning has grown we see engineers and researchers struggle to incorporate running on GPUs into their workflow. So we built Spell to be the easiest way to get code running elsewhere - like the bash '&' operator but for remote machines. Sign up for an account at https://web.spell.run/waitlist, which includes $300 in credits for GPU time. There's a waitlist, but we'll be approving accounts as they come in. Here are some of the features we really wanted and built into Spell:…
Spell – simple, remote GPU execution launched on June 5, 2018 with 13 votes, #831 of 2,653 launches that month and more than 75% of that year's launches.
In plain words
Spell is a tool for running machine learning and deep learning jobs on remote GPUs. It is designed for engineers and researchers who need GPU compute without managing their own hardware. The product lets users execute code remotely with a simple command, similar to backgrounding a local process, without modifying existing code. It includes a shared remote filesystem to minimize data upload time, and new accounts receive $300 in GPU credits.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
We'd like to introduce HN to Spell, which is a tool for easily running ML/DL jobs remotely. As Deep Learning has grown we see engineers and researchers struggle to incorporate running on GPUs into their workflow. So we built Spell to be the easiest way to get code running elsewhere - like the bash '&' operator…
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