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ananthsub merged 2 commits into from
Aug 5, 2026
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docs: make Nemotron 3 Nano storage requirements consistent #2315

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docs: make Nemotron 3 Nano storage requirements consistent
ananthsub Aug 4, 2026
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Merge branch 'main' into ananthsub/docs-nemotron3-storage
anwithk Aug 5, 2026
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6 changes: 3 additions & 3 deletions fern/versions/latest/pages/model-recipes/nemotron-3-nano.mdx
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Expand Up @@ -29,15 +29,15 @@ You'll also need:
- ✅ Access to Slurm cluster with enroot/pyxis container support
- ✅ Access to NeMo RL container: `nvcr.io/nvidia/nemo-rl:v0.4.0.nemotron_3_nano`
- ✅ Understanding of Ray distributed computing framework
- ✅ Sufficient storage space (~110GB for model, data, and cache; checkpoints and logs accumulate with each run)
- ✅ At least 200GB of free storage. The container (~15GB) and model (~59GB) account for about 75GB; the rest is data, the Hugging Face cache, and checkpoints and logs, which accumulate with each run.

---

## 1. Initial Setup

### 1.1 Set Workspace Directory

Choose a location with sufficient space (~110GB minimum):
Choose a location with at least 200GB free:

```bash
# Set workspace directory (adjust to your cluster's large storage)
Expand Down Expand Up @@ -537,7 +537,7 @@ $HOME/
│ ├── data/
│ │ ├── train-split.jsonl # Training data
│ │ └── val-split.jsonl # Validation data
│ ├── model/ # Nemotron 3 Nano 30B model (~63GB)
│ ├── model/ # Nemotron 3 Nano 30B model (~59GB)
│ ├── examples/nemo_gym/
│ │ ├── grpo_nanov3.yaml # Training config
│ │ └── run_grpo_nemo_gym.py # Training script
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