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| author | Will DePue <williamd@openai.com> | 2026-03-18 16:57:40 -0700 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2026-03-18 16:57:40 -0700 |
| commit | 954a158102ec64c292ad82b2442e387e505a9388 (patch) | |
| tree | 8a98df49b3925018aaf8479031a467f7f620fc28 /README.md | |
| parent | de132488af2e9d4a22440a37526aee0d29c482ca (diff) | |
Update README.md
Diffstat (limited to 'README.md')
| -rw-r--r-- | README.md | 2 |
1 files changed, 1 insertions, 1 deletions
@@ -89,7 +89,7 @@ You can rent GPUs from anywhere, but OpenAI is partnering with Runpod to make se 1. First, [create a Runpod account](https://console.runpod.io/deploy). You should also set up an SSH key in the Settings tab on the left so you can connect to your remote machine. If you're new to this, ask Codex to help you set it up. -2. Once you've set up your account, create a new GPU Cloud Pod. You can choose whichever GPU SKU you'd like. Final leaderboard submissions must run in under 10 minutes on 8xH100s, but we strongly recommend testing and running experiments on cheaper SKUs first, since an 8xH100 box can cost around $20/hour. +2. Once you've set up your account, create a new GPU Cloud Pod. You can choose whichever GPU SKU you'd like. Final leaderboard submissions must run in under 10 minutes on 8xH100s (specifically the SXM variant), but we strongly recommend testing and running experiments on cheaper SKUs first, since an 8xH100 box can cost around $20/hour. 3. Let's start with a 1xH100 pod. Deploy using the official Parameter Golf template: [Launch Template](https://console.runpod.io/deploy?template=y5cejece4j&ref=nl2r56th). Enable SSH terminal access, leaving the other settings at their defaults. Deploy your pod and SSH into it once it's up. You should land in `/workspace/`. |
