This page is for OpenFold2, version 1.1.0.
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
The OpenFold2 NIM is configured to run on a single GPU, and supports input
sequences with length less than (or-equal-to) 1000 AAs.
GPU
The OpenFold2 NIM is supported to run on a single NVIDIA GPU, with at least 80GB
of video RAM. GPU with 80GB video RAM are in the Ampere, Hopper, and Blackwell
architectures.
Examples:
Storage
NVIDIA recommends at least 350GB of disk space. The container is roughly 30GB. Additionally, at startup, the NIM downloads needed data items, if they are
not present on the local filesystem. These data items are model parameters (roughly 10GB), and a dataset of protein structures (roughly 300GB).
CPU and System Memory
- At least 64 GB of RAM
- A CPU with at least 8 available cores
