Gpu.st – GPU over SSH
Recently I was inspired by exe.dev to finally finish a project I'd been procrastinating on for half a year. You can simply `ssh gpu.st new` and instantly create instances with a variety of GPUs attached. Instances boot a custom image with PyTorch, Jupyter, and the CUDA toolkit installed by default. Currently we give access to 3090s and 4090s for free users; paid users get access to all GPUs.
Gpu.st – GPU over SSH launched on January 16, 2026 with 5 votes, #3,400 of 14,585 launches that month and more than 75% of that year's launches.
What it does
A GPU in 60 seconds.
In the maker’s words, at launch
Instantly create GPU instances over SSH. Instances boot a custom image with PyTorch, Jupyter, and the CUDA toolkit installed by default.
Does a similar job
all alternatives →
Software for Remote GPU-over-IP2022 · github.com · ▲138We built installable software for Windows & Linux that makes any remote Nvidia GPU accessible to, and shareable across, any number of remote clients running local applications, all over standard networking.
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Rgpu – a PyTorch device whose tensors live on a remote GPU15d ago · github.com · ▲57Keep Python on your laptop. Run PyTorch operations and hold tensors on a remote GPU, including from a Mac with no CUDA installation. - ymcrcat/rgpu
HipScript – Run CUDA in the browser with WebAssembly and WebGPU2025 · hipscript.lights0123.com · ▲309CUDA is NVIDIA's language for GPU programming, allowing you to mix write CPU and GPU code in C++ in one file. By chaining a few projects that compile CUDA to OpenCL, then Vulkan, then WebGPU, you can experiment with this GPGPU language on any hardware.
vGPU and SR-IOV on consumer GPUs2021 · arccompute.com · ▲203Insights on GPU and AI infrastructure from Arc Compute. Read hardware deep-dives, deployment playbooks, and analysis of where the AI compute market is heading.
Run `SSH bitbop.io`, get a personal GPU dev machine2024 · twitter.com · ▲7Hi HN! I've been hacking on this side project for the last month or two with the goal of making it dead simple to use cloud GPUs. I ran into this problem personally during the phd, and built my own tooling around it. I always thought it'd be fun to try to turn that tooling into a more general product... and bitbop.io is the result! All you have to do is run `ssh bitbop.io`, and you get your own personal dev GPU workstation in the cloud. Looking forward to hearing your thoughts!
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