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Overview
A collection of AI models that necessitate specific NVIDIA GPU configurations for inference and fine-tuning, including options for model parallelism. The setup is primarily tested under Ubuntu 22.04.
Capability facts
- Languages
- python
Source: github.language+pyproject.toml · Jul 12, 2026
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README
Requirements
To run the models in this repository, you will need an NVIDIA GPU with at least the following specifications. These estimations assume a single GPU, but you can also use multiple GPUs with model parallelism to reduce per-GPU memory requirements by configuring fsdp_devices in the training config. Please also note that the current training script does not yet support multi-node training.
| Mode | Memory Required | Example GPU |
|---|---|---|
| Inference | > 8 GB | RTX 4090 |
| Fine-Tuning (LoRA) | > 22.5 GB | RTX 4090 |
| Fine-Tuning (Full) | > 70 GB | A100 (80GB) / H100 |
The repo has been tested with Ubuntu 22.04, we do not currently support other operating systems.
Installation
When cloning this repo, make sure to update submodules:
git clone --recurse-submodules git@github.com:Physical-Intelligence/openpi.git