BYOM usually stands for “bring your own model.” In AI products, it points to tools where the user chooses the model itself rather than only supplying a provider key.
That can mean running a local model on your own machine, connecting a private hosted model endpoint, or choosing from your own model registry.
How BYOM differs from BYOK
BYOK focuses on account or credential ownership. BYOM focuses on model ownership or model selection. They overlap, but they are not identical.
For example, a local desktop AI app that runs models from your machine is usually more BYOM than BYOK. There may be no external API key involved at all.
Where BYOM shows up most often
BYOM is especially relevant for local AI tools, enterprise AI platforms, and model-routing products. It becomes important when the user wants to bring a custom model, a self-hosted endpoint, or a local model library into the app.
A lot of image-generation and local-model desktop tools fit this pattern better than a narrow BYOK definition.
- Local model runners
- Private inference endpoints
- Enterprise model registries
- Model gateways and routing layers
Why the term is less popular with end users
BYOM is useful conceptually, but it is much less stable as a search and product term than BYOK. It is newer, less familiar, and can collide with unrelated meanings outside AI.
That is why many product teams still lead with simpler labels like “use your own model” or “run local models” instead of expecting users to search for BYOM directly.