sokrypton / sokrypton/ColabFold
Speed of MSA Server
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Description
Hey,
I deployed only the MSA server on a A100 host. I used the GPU mode, it takes some minutes to compute the alignments, is it normal ?
If GPU mode, should i also use the vmtouch command to put the db in cache ?
Is it also normal that during the request the process are present in the GPU but doesnt consume utilization but only memory ?
[opc@vmpsiloaf2dispsildv01 ~]$ nvidia-smi
Fri Oct 10 15:17:30 2025
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 575.57.08 Driver Version: 575.57.08 CUDA Version: 12.9 |
|-----------------------------------------+------------------------+----------------------+
| 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 A10 Off | 00000000:00:04.0 Off | 0 |
| 0% 43C P0 57W / 150W | 22265MiB / 23028MiB | 0% Default |
| | | N/A |
+-----------------------------------------+------------------------+----------------------+
+-----------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=========================================================================================|
| 0 N/A N/A 66125 C mmseqs 12506MiB |
| 0 N/A N/A 66127 C mmseqs 348MiB |
| 0 N/A N/A 66128 C mmseqs 9392MiB |
+-----------------------------------------------------------------------------------------+
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No repository file, test, or entry point is named. Start by locating the MSA server's GPU-mode request path and the documentation for vmtouch and database caching, then reproduce the reported behavior using the supplied nvidia-smi output. Done means determining whether the runtime, GPU utilization, and memory usage are expected or identifying a specific fix.
Written by the indexing model from the issue text.
Assessment
- Domain
- bioinformatics
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100