Last updated: 10/24/2026Last verified: 2026-10-24
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<p>Cloudy is an autonomous ML research agent that plans experiments, writes and runs code on cloud CPUs and GPUs, learns from results, and returns code, measurements, checkpoints, and a research report.</p><ul><li>Plans and iterates on ML experiments from a goal and user-provided code or data</li><li>Runs code on cloud CPUs and up to eight NVIDIA GPUs, switching hardware as needed</li><li>Saves files, results, and checkpoints for resuming research in the same conversation</li><li>Returns code, logs, measurements, plots, and an evidence-backed research report</li></ul>
Details
Platform
WebmacOSLinuxWindows
Features
- Plans and iterates on ML experiments from a goal and user-provided code or data
- Runs code on cloud CPUs and up to eight NVIDIA GPUs, switching hardware as needed
- Saves files, results, and checkpoints for resuming research in the same conversation
- Returns code, logs, measurements, plots, and an evidence-backed research report
Languages
en
Best for
ML engineers running training, fine-tuning, or optimization experiments without their own GPUsStartup research teams that need long-running iterative experiments with saved resultsDevelopers delegating measurable ML research goals and reviewing the resulting code and evidence
Known limitations
- Uses prepaid team credits starting at $5; compute, search, and storage remain chargeable even with a connected Claude or ChatGPT plan
- Research duration is a time limit, not a dollar spending cap; platform fees and taxes are shown at checkout
- Paused research preserves files and checkpoints but running processes do not stay alive while paused
- Requires an account; the optional CLI needs Python 3.12 or later and Windows users must use WSL
Alternatives
Claude Code — Terminal-first coding agent when cloud GPU experiment orchestration is not needed
OpenAI Codex — Coding agent for repository tasks rather than an autonomous GPU research workflow
Julius AI — Conversational data analysis rather than long-running ML experiment optimization







