> This page is for OpenFold2, version 2.3.0.
> For other versions, use one of these documentation indexes:
> - 2.6.0 (Latest) (default): https://docs.nvidia.com/nim/bionemo/openfold2/2.6.0/llms.txt
> - 2.5.0: https://docs.nvidia.com/nim/bionemo/openfold2/2.5.0/llms.txt
> - 2.4.0: https://docs.nvidia.com/nim/bionemo/openfold2/2.4.0/llms.txt
> - 2.3.0: https://docs.nvidia.com/nim/bionemo/openfold2/2.3.0/llms.txt
> - 2.2.0: https://docs.nvidia.com/nim/bionemo/openfold2/2.2.0/llms.txt
> - 2.1.0: https://docs.nvidia.com/nim/bionemo/openfold2/2.1.0/llms.txt
> - 2.0.0: https://docs.nvidia.com/nim/bionemo/openfold2/2.0.0/llms.txt
> - 1.2.0: https://docs.nvidia.com/nim/bionemo/openfold2/1.2.0/llms.txt
> - 1.1.0: https://docs.nvidia.com/nim/bionemo/openfold2/1.1.0/llms.txt
> - 1.0.0: https://docs.nvidia.com/nim/bionemo/openfold2/1.0.0/llms.txt

> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.nvidia.com/nim/bionemo/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/nim/bionemo/_mcp/server.

# Supported Hardware

The OpenFold2 NIM is configured to run on a single GPU, and supports input
sequences with length less than (or-equal-to) 2048 AAs.

## GPU

The OpenFold2 NIM is supported to run on the GPU configurations below.

| GPU | GPU Memory | # of GPUs |
|-----------|----------|----------|
| NVIDIA H100 80GB HBM3 | 80GB | [1] |
| NVIDIA H100 PCIe | 80GB | [1] |
| NVIDIA A100-SXM4-80GB | 80GB | [1] |
| NVIDIA A100 80GB PCIe | 80GB | [1] |
| NVIDIA L40S | 48GB | [1] |
| NVIDIA B200 | 180GB | [1] |
| NVIDIA RTX 6000 Ada Generation | 48GB | [1] |
| NVIDIA GB200 | 186GB | [1] |
| NVIDIA GB10 (DGX Spark) | 128GB | [1] |

<Note>
The GB10 features 128GB of LPDDR5x unified memory shared between CPU and GPU, providing seamless memory access across the Grace Blackwell Superchip architecture.
</Note>

## Storage

NVIDIA recommends at least 80GB of disk space. The container is roughly 55GB. Additionally, at startup, the NIM downloads model parameters (roughly 10GB) if they are not present on the local filesystem.

## CPU and System Memory

* At least 64 GB of RAM
* A CPU with at least 8 available cores