In brief: There is no universally best deployment option. A small local demonstration can be practical with the correct hardware; larger models and high-throughput work may require managed resources.
The local route
Local weights give control over runtime, logging and data handling. They also bring the responsibility for GPU availability, dependency compatibility, caching, security patches and reproducible installs. Check the actual model license and memory needs before downloading weights.
The hosted route
A managed API reduces infrastructure setup and may provide access to model variants unavailable as local weights. It introduces token management, network dependency, quota and service pricing. Review the provider terms and whether submitted biological sequences may be sensitive under your institution’s rules.
A selection checklist
| Constraint | Question |
|---|---|
| Privacy | Can these sequences be sent to a third party? |
| Compute | Is GPU memory sufficient for the specific checkpoint? |
| Reproducibility | Can versions and settings be frozen and documented? |
| Budget | What is the total cost per experiment and retry? |
| Scientific task | Do you need generation, embeddings or folding? |
Avoid overstating portability
Local and hosted clients can share conceptual workflows, but they may differ in model IDs, parameters and supported features. Verify output equivalence instead of assuming the same seed produces identical results across services.
Primary sources and further reading
Editorial review: October 2026. This guide is educational. Model availability and APIs may change; confirm exact versions in the linked documentation. Generated structures and sequences require independent scientific validation.