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Self-hosted AI vs. cloud AI
Cloud AI platforms route customer data through their own infrastructure. Self-hosted AI runs the runtime and the model inside the customer environment. The trade-offs are concrete, not philosophical.
Cloud AI platforms route customer data through their own infrastructure. Self-hosted AI runs the runtime and the model inside the customer environment. The trade-offs are concrete, not philosophical.
Side-by-side
| Dimension | Huitzo | Cloud AI (Bedrock, Azure AI, Vertex AI) |
|---|---|---|
| Where data is processed | Customer environment | Vendor cloud |
| Model portability | Model-agnostic | Vendor catalog only |
| Air-gapped operation | Supported | Not supported |
| Compliance ownership | Customer environment | Vendor SOC 2 + customer BAA |
| Time to first deployment | Weeks | Days, but couples to vendor |
Comparison questions
When is cloud AI the right answer?
When the workload is not subject to data-residency or sovereignty constraints and time-to-first-deployment matters more than portability. Cloud AI is faster to prototype against; the lock-in shows up later.
Does self-hosted AI mean self-managed infrastructure?
Yes — the customer operates the infrastructure. The Huitzo runtime is one Linux service inside an environment the customer already operates.