BYOM, bring your own model, how it actually works for air-gapped deployments

BYOM gets thrown around as a buzzword. For air-gapped deployments, it's specific engineering.

What we actually do:

- Customer provides their fine-tuned model or open-source LLM (Llama, Mistral, Qwen)

- Model deployed inside customer's VPC or on-prem hardware

- AI Hive platform connects via OpenAI-compatible API endpoint

- Zero data leaves the customer's infrastructure

- Model updates managed through signed offline packages

Where it gets hard:

- Inference performance tuning is on the customer's team

- Compliance for the model itself (where did the training data come from) is the customer's responsibility

- Observability across BYOM and our platform requires careful telemetry design

When BYOM is the right call: regulated industries, sovereign deployments, IP-sensitive use cases.