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COMPARE

Huitzo vs. Private Cloud AI

Enterprise cloud providers offer "private" environments for enterprises. Here is what that actually means, and how self-hosted AI is different.

Compared with
Private Cloud AI

Enterprise cloud providers offer AI services inside private VPCs, and they call this "private." The infrastructure is still vendor-managed, with vendor-operated monitoring and a model catalog chosen by the provider. Huitzo is different: the runtime runs inside your infrastructure, not the vendor's. Huitzo has no runtime access to your data by design. You choose the model endpoint you operate, and every execution produces a verifiable audit record that lives inside your environment. This comparison walks through each dimension so you can evaluate both options honestly.

Written by Huitzo. We name the situations where the alternative fits.

SIDE BY SIDE

How does self-hosted AI compare to private cloud AI on infrastructure ownership, vendor access, and model lock-in?

Dimension Huitzo Private Cloud AI
Where it runs Your infrastructure (any cloud or on-prem) Vendor's infrastructure (private VPC)
Vendor access to data No Huitzo runtime access by design Vendor-operated monitoring and abuse controls remain in the service boundary, in the configurations we compared
Model choice Model-agnostic; choose and change the endpoint you operate Model catalog chosen by the vendor
Data path Self-hosted: stays inside your environment Routes through vendor service
Compliance ownership You own the evidence Vendor owns the infrastructure, you own the BAA
Air-gapped operation Supported Not supported in the configurations we compared

WHEN THE ALTERNATIVE FITS

When Private Cloud AI is the right choice

  • The workload is not subject to strict data-residency or sovereignty constraints.
  • Time to first prototype matters more than long-term portability or infrastructure ownership.
  • The organization is comfortable with the vendor's access model and monitoring controls.

QUESTIONS

When should I choose self-hosted AI over a private cloud AI service?

When is private cloud AI the right answer?

When the workload is not subject to strict data-residency or sovereignty constraints, time-to-first-prototype matters more than long-term portability, and the organization is comfortable with the vendor's access model. Private cloud AI is faster to start; the lock-in and access trade-offs show up later.

Doesn't a private VPC mean my data is private?

A private VPC means your data is isolated from other customers on the vendor's network. It does not mean the vendor cannot see your data. Cloud AI providers retain access for abuse monitoring, content filtering, and service operation. With Huitzo, self-hosted, the runtime runs inside your infrastructure, and Huitzo has no access path to your data by design.

AI operating system for regulated industries

Simple by design. Infinitely scalable. Runs where your data lives.

Product access
huitzo.ai, the hosted marketplace, is open by invitation to teams evaluating the product.
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