> This page is for Boltz-2, version 1.0.0.
> For other versions, use one of these documentation indexes:
> - 1.10.0 (Latest) (default): https://docs.nvidia.com/nim/bionemo/boltz2/1.10.0/llms.txt
> - 1.9.0: https://docs.nvidia.com/nim/bionemo/boltz2/1.9.0/llms.txt
> - 1.8.0: https://docs.nvidia.com/nim/bionemo/boltz2/1.8.0/llms.txt
> - 1.7.0: https://docs.nvidia.com/nim/bionemo/boltz2/1.7.0/llms.txt
> - 1.6.0: https://docs.nvidia.com/nim/bionemo/boltz2/1.6.0/llms.txt
> - 1.5.0: https://docs.nvidia.com/nim/bionemo/boltz2/1.5.0/llms.txt
> - 1.4.0: https://docs.nvidia.com/nim/bionemo/boltz2/1.4.0/llms.txt
> - 1.3.0: https://docs.nvidia.com/nim/bionemo/boltz2/1.3.0/llms.txt
> - 1.2.0: https://docs.nvidia.com/nim/bionemo/boltz2/1.2.0/llms.txt
> - 1.1.0: https://docs.nvidia.com/nim/bionemo/boltz2/1.1.0/llms.txt
> - 1.0.0: https://docs.nvidia.com/nim/bionemo/boltz2/1.0.0/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.

# Support Matrix

## Supported Hardware


### Minimum System Hardware Requirements

| CPU Cores    | RAM (GB) | NVMe SSD Storage (GB) | GPU Count |
|--------|-----------------|-----------|-------|
| 12  | 64              | 48       | One or More NVIDIA GPU from the list of Supported NVIDIA GPUs |



### Supported NVIDIA GPUs

The Boltz-2 NIM supports NVIDIA GPUs with at least 48 GB of GPU Memory.
The following configurations are optimized using NVIDIA TensorRT (TRT) for specific GPU models:

| GPU    | GPU Memory (GB) | Precision | GPU Count |
|--------|-----------------|-----------|-----------|
| A100   | 80              | BF16      |  1-2-4-8  |
| H100   | 80              | BF16      |  1-2-4-8  |
| L40s   | 48              | BF16      |  1-2-4-8  |

While the NIM will run on any NVIDIA GPU with at least 48 GB of memory, performance and stability may be degraded on system configurations other than the above.


## Testing Locally Available Hardware

* Begin with [Docker-supported operating system](https://docs.docker.com/engine/install/#supported-platforms)
* Install [Docker](https://docs.docker.com/engine/install/) - minimum version: 23.0.1
* Install [NVIDIA Drivers](https://www.nvidia.com/en-us/drivers/) - minimum version: 535
* Install the [NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html#installing-the-nvidia-container-toolkit) - minimum version: 1.13.5
* Verify your container runtime supports NVIDIA GPUs by running

>```bash
>docker run --rm --runtime=nvidia --gpus all ubuntu nvidia-smi
>```

>Example output:

>```bash
>+-----------------------------------------------------------------------------+
>| NVIDIA-SMI 535.230.02   Driver Version: 535.230.02    CUDA Version: 12.4    |
>|-------------------------------+----------------------+----------------------+
>| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
>| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
>|                               |                      |               MIG M. |
>|===============================+======================+======================|
>|   0  NVIDIA GeForce ...  Off  | 00000000:01:00.0 Off |                  N/A |
>| 41%   30C    P8     1W / 260W |   2244MiB / 11264MiB |      0%      Default |
>|                               |                      |                  N/A |
>+-------------------------------+----------------------+----------------------+
>
>+-----------------------------------------------------------------------------+
>| Processes:                                                                  |
>|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
>|        ID   ID                                                   Usage      |
>|=============================================================================|
>+-----------------------------------------------------------------------------+
>```

<Note>
For more information on enumerating multi-GPU systems, refer to the NVIDIA Container Toolkit’s [GPU Enumeration Docs](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/docker-specialized.html?highlight=enumerate#gpu-enumeration)
</Note>