ATL Sandbox

Run Python, Node.js, C/C++, Rust, and shell commands Attach NVIDIA GPUs for CUDA and Blender rendering Keep files in workspaces and private object storage Use a private PostgreSQL database Publish static websites and web apps Schedule recurring jobs and one-off runs

sandbox code execution python gpu cloud development automation

ATL Sandbox gives ChatGPT isolated cloud computers for your account. Ask in plain language and ChatGPT creates a sandbox, runs Python, Node.js, C/C++, Rust, or shell commands, and returns the results to the conversation. What you can do: - Run code in ready-made environments (Python, Node.js, GCC, Rust, Blender) or, with the developer profile, any public Linux container image. - Attach NVIDIA GPUs for CUDA, model inference, and Blender Cycles rendering. - Keep work in encrypted persistent workspaces and private object storage, and use a PostgreSQL database that belongs to your account. - Publish static websites and expose web apps on public links when you choose to share them. - Schedule recurring jobs and one-off runs, and check their history later. Who it is for: developers, analysts, students, and creators who want their assistant to run real code and keep the results. Security: every sandbox runs behind its own user-space kernel and can reach only the compute, storage, and database of the signed-in account. Infrastructure credentials never enter the conversation. Actions that change or delete data are marked so ChatGPT asks before running them. Limitations: an ATL Sandbox account is required. Accounts have usage limits on concurrent sandboxes, run time, storage, GPUs, and schedules, and running compute stops when an account reaches its limit. Instant sandboxes discard their files when stopped. Images must be linux/amd64 and include /bin/sh. Interactive terminals and Codex sessions are not available in this app. Do not paste passwords, API keys, or payment details into sandboxes.