Running Codex Inside a Runpod GPU Instance
Melvin Vivas · X post · 2026-09-03 · Open on X
Topics: AI Dev Tools & Productivity, LLMOps, Deployment & Monitoring · Level: intermediate
Summary
The creator runs the Codex coding agent directly inside a Runpod GPU instance. He says this makes it easier to set up Python and run local models. He also recommends herdr.
Key points
- Run a coding agent (Codex) on the GPU box itself to handle Python environment setup.
- This makes running local models on cloud GPUs easier.
- herdr is recommended as a useful tool ("herdr rocks!").
Resources mentioned
- OpenAI Codex · tool · openai.com · paid
OpenAI's coding agent. In the diagram it writes code, fixes review findings and drives the build loop. The creator also used it to make this video.
Also in: An agent bot that installs and drives Codex on its own (Melvin Vivas on X · notes), Asking a Coder bot to install Codex (Melvin Vivas on X · notes), Sign in with ChatGPT: Setting Usage Limits for Each App (Melvin Vivas on X · notes), Codex Cloud Environments Must Be Saved & Published Before Use (Melvin Vivas on X · notes) and 240 more - Runpod · tool · x.com · paid
GPU cloud platform for running, training and serving AI models; Flash deploys workloads to it.
Also in: AI DevBox v1.3.0: a GPU-ready Docker image with coding-agent CLIs (Melvin Vivas on X · notes), Why LLM data agents need solid data foundations (Runpod) (Melvin Vivas on X · notes), Docker image with coding agents pre-installed on a CUDA + PyTorch base (Melvin Vivas on X · notes), GPU devbox Docker image with coding agents on Runpod (Melvin Vivas on X · notes) and 5 more - herdr · tool · x.com · check price
A runtime that keeps real terminals open for coding agents on a local or rented machine, so agent sessions keep running when you disconnect.
Also in: Terminal Tool Recommendation: herdr (Melvin Vivas on X · notes), herdr 0.9.0: Control Agents Across Multiple Machines (Melvin Vivas on X · notes), GPU devbox Docker image with coding agents on Runpod (Melvin Vivas on X · notes), GPU-Ready AI Devbox Docker Image on Runpod (PyTorch 2.8 + CUDA 12.8) (Melvin Vivas on X · notes) and 7 more
Try this
- Try running a coding agent like Codex inside your cloud GPU instance to set up Python and local models.
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