Supported Hardware#
The OpenFold3 NIM is configured to run on a single GPU, and supports different sequence length ranges depending on the inference backend:
PyTorch backend: Supports sequences from 2 to 4096 amino acids
TensorRT-BioNeMo backend: Supports sequences from 4 to 2048 amino acids (optimized for faster inference)
GPU#
The OpenFold3 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 H200  | 
141GB  | 
[1]  | 
Storage#
NVIDIA recommends at least 80GB of disk space. The container is roughly 61GB, which includes the OpenFold3 model parameters (~6GB) and TensorRT optimized inference engines.
CPU and System Memory#
At least 64 GB of RAM
A CPU with at least 8 available cores