Skip to navigation

Support Matrix

View as Markdown

Supported Hardware

Minimum System Hardware Requirements

CPU CoresRAM (GB)NVMe SSD Storage (GB)GPU Count
126480One or More NVIDIA GPU from the list of Supported NVIDIA GPUs

The NVMe SSD Storage requirement of 80GB accounts for the Boltz-2 NIM image size (~73GB disk usage) plus additional space for Docker layer caching and temporary files during runtime.

Supported NVIDIA GPUs

The Boltz-2 NIM requires NVIDIA GPUs with at least 48 GB of GPU Memory. While the system can run on any NVIDIA GPU meeting this minimum memory requirement, the following configurations have been specifically tested and optimized using NVIDIA TensorRT (TRT):

GPUGPU Memory (GB)PrecisionGPU Count
A10080BF161-2-4-8
H10080BF161-2-4-8
L40s48BF161-2-4-8
B200180BF161-2-4-8
RTX6000 Ada48BF161-2-4-8
GB200186BF161-2-4-8

For optimal performance and stability, we recommend using one of the above tested configurations. While other NVIDIA GPUs with 48GB or more memory may work, they have not been officially tested and may exhibit degraded performance or stability issues.

Testing Locally Available Hardware

docker run --rm --runtime=nvidia --gpus all ubuntu nvidia-smi

Example output:

+-----------------------------------------------------------------------------+
| NVIDIA-SMI 580.65.06 Driver Version: 580.65.06 CUDA Version: 13.0 |
|-------------------------------+----------------------+----------------------+
| 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 |
|=============================================================================|
+-----------------------------------------------------------------------------+

For more information on enumerating multi-GPU systems, refer to the NVIDIA Container Toolkit’s GPU Enumeration Docs