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Support Matrix

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Sequence Databases and Search Types

The MSA NIM supports a variety of MMSeqs2-compatible databases (both those prepared by the user and pre-made indexes available as NGC Models). The following databases are currently available on NGC:

NGC Model NameDatabases SupportedSearch Types SupportedSize (GB)Source
0.1.8-colabfoldUniref30_2302, colabfold_envdb_202108, and PDB70_220313alphafold2 and colabfold1200ColabFold Databases
0.1.8-alphafolduniref90, small_bfd, and mgnifyalphafold2520AlphaFold2 Databases

Supported Hardware

Minimum System Hardware Requirements

CPU CoresRAM (GB)NVMe SSD Storage (GB)GPU Count
24641300One or More NVIDIA GPU from the list of Supported NVIDIA GPUs

Supported NVIDIA GPUs

The MSA Search NIM supports NVIDIA GPUs with at least 48 GB of GPU Memory. It has been tested on the following recommended configurations:

GPUGPU Memory (GB)GPU Count
A100801-8
H100801-8
L40s481-8
RTX 6000 Ada Generation (beta)481-4

Testing Locally Available Hardware

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

Example output:

+-----------------------------------------------------------------------------+
| NVIDIA-SMI 525.78.01 Driver Version: 525.78.01 CUDA Version: 12.0 |
|-------------------------------+----------------------+----------------------+
| 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