> This page is for OpenFold3, version 1.6.0 (Latest) (default). > For other versions, use one of these documentation indexes: > - 1.6.0 (Latest) (default): https://docs.nvidia.com/nim/bionemo/openfold3/1.6.0/llms.txt > - 1.5.0: https://docs.nvidia.com/nim/bionemo/openfold3/1.5.0/llms.txt > - 1.4.0: https://docs.nvidia.com/nim/bionemo/openfold3/1.4.0/llms.txt > - 1.3.0: https://docs.nvidia.com/nim/bionemo/openfold3/1.3.0/llms.txt > - 1.2.0: https://docs.nvidia.com/nim/bionemo/openfold3/1.2.0/llms.txt > - 1.1.0: https://docs.nvidia.com/nim/bionemo/openfold3/1.1.0/llms.txt > - 1.0.0: https://docs.nvidia.com/nim/bionemo/openfold3/1.0.0/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 Each prediction runs on a single GPU. Starting in 1.6.0, a container given more than one GPU serves requests from all of them concurrently; refer to [Configuration Alternatives](/nim/bionemo/openfold3/configuration-alternatives). ## GPU The OpenFold3 NIM is supported to run on the GPU configurations below. | GPU | GPU Memory | # of GPUs | |-----------|----------|----------| | NVIDIA H100 80GB HBM3 | 80 GB | 1 or more | | NVIDIA H100 NVL | 94 GB | 1 or more | | NVIDIA H100 PCIe | 80 GB | 1 or more | | NVIDIA A100-SXM4-80GB | 80 GB | 1 or more | | NVIDIA A100 80GB PCIe | 80 GB | 1 or more | | NVIDIA A100-SXM4-40GB | 40 GB | 1 or more | | NVIDIA A100 40GB PCIe | 40 GB | 1 or more | | NVIDIA H200 | 141 GB | 1 or more | | NVIDIA H200 NVL | 141 GB | 1 or more | | NVIDIA B200 | 180 GB | 1 or more | | NVIDIA B300 | 288 GB | 1 or more | | NVIDIA GB200 | 186 GB | 1 or more | | NVIDIA GB300 | 288 GB | 1 or more | | NVIDIA GH200 144GB | 144 GB | 1 or more | | NVIDIA RTX PRO 6000 Blackwell Server Edition | 96 GB | 1 or more | | NVIDIA RTX PRO 6000 Blackwell Workstation Edition | 96 GB | 1 or more | | NVIDIA RTX 6000 Ada Generation | 48 GB | 1 or more | | NVIDIA L40S | 48 GB | 1 or more | | NVIDIA GB10 (DGX Spark) | 128 GB | 1 | The GB10 features 128 GB of LPDDR5x unified memory shared between CPU and GPU, providing a single memory space across the NVIDIA Grace Blackwell Superchip architecture. It is listed as 1 rather than 1 or more because a DGX Spark carries a single GB10 superchip. There is no second GPU for the NIM to start a worker on. ## Storage NVIDIA recommends at least 80 GB of disk space. The container is roughly 11 GB to download and approximately 40 GB once unpacked. Model parameters are not included in the container; they are downloaded on first run into the NIM cache directory, which needs a further 15 GB. Refer to [Getting Started](/nim/bionemo/openfold3/getting-started) for how to set the cache location. ## CPU and System Memory * At least 64 GB of RAM * A CPU with at least 8 available cores