FedRAMP AI Infrastructure Scope for Regulated Workloads

Quick Answer: FedRAMP is a U.S. federal program that authorizes cloud services against NIST-based controls at a stated impact level. For AI, the hard part is the authorization boundary: which GPUs, images, logs, weights, and subprocessors are in the package, and which remain on you.

FedRAMP AI infrastructure is the set of cloud services, controls, and evidence a federal or federal-adjacent buyer must map before GPU training or inference may run in that cloud. It is not a synonym for HIPAA, SOC 2, or a CUI overlay, and it is not a guarantee that every AI feature on a brochure is authorized.

Security and procurement owners should treat FedRAMP as a package you read, not a logo you accept. This page covers scope. It does not claim any vendor, including OneSource Cloud, is FedRAMP authorized.

What must sit inside the authorization boundary?

If the provider’s FedRAMP package covers a managed Kubernetes control plane but not the GPU node image you actually run, you do not have coverage for the workload. Write that gap down before legal treats the logo as done.

How does FedRAMP differ from nearby compliance words?

SOC 2 is an attestation a CPA firm issues on a service organization’s controls. FedRAMP is a government authorization path with a designated impact level and continuous monitoring. A SOC 2 Type II does not substitute for FedRAMP when the buyer’s policy requires an authorized cloud service.

A CUI overlay adds handling requirements for Controlled Unclassified Information. CMS and internal guides already cover that overlay as its own question. Do not collapse CUI, FedRAMP, and “U.S. data residency” into one checkbox. Residency can be true while the service remains unauthorized.

On-premises or customer-owned halls in a U.S. facility are not automatically FedRAMP. FedRAMP applies to cloud services offered to the federal market. A dedicated GPU cluster you operate under your own ATO is a different path. Name the path in the RFP so vendors stop answering the wrong program.

What should reviewers demand in writing?

Ask for the service name exactly as it appears in the FedRAMP marketplace or package, the impact level, and the authorization date or in-process status. Then ask for the boundary diagram that includes GPU nodes, storage, identity, and logging. A slide that says “FedRAMP Moderate” without a service name is marketing.

Ask which AI features are out of scope: public model gardens, shared inference endpoints, overseas support, and third-party eval SaaS are common exclusions. If your job will call those features, you are leaving the package even if the cluster stays in Virginia.

Ask who the subprocessors are for GPU firmware updates, remote hands, and log analytics. AI estates add more vendors than a simple VM service. Each subprocessor is either in the package or an exception you must accept.

U.S. dedicated capacity can still help residency and access geography. Private AI infrastructure from OneSource Cloud is designed around dedicated, U.S.-based environments, including Texas / Richardson facilities. That is a residency and tenancy story. It is not a FedRAMP authorization claim. If your policy requires an authorized cloud service offering, verify that offering independently.

What remains on the customer after authorization?

You still classify data, configure identity, approve model cards, and keep prompts out of unauthorized tools. Shared responsibility does not disappear because the IaaS layer is authorized. Agency or contractor policy still owns fine-tuning data, eval sets, and who may export weights.

You still test restore, key custody, and admin MFA on your side of the line. Continuous monitoring produces artifacts. Someone in your organization must read them. If no one owns that mailbox, the authorization will drift while jobs keep running.

If you also need day-two operations on a dedicated cluster that is not a FedRAMP service, treat managed AI infrastructure as an operations decision. Operations quality and federal authorization are separate contracts. Review financial services AI patterns only when the data class is financial rather than federal.

FAQ

Does FedRAMP Moderate cover LLM inference automatically?

No. Coverage follows the authorized service and boundary, not the word inference. A Moderate IaaS package may allow you to run an LLM if you stay inside approved images and logging. A marketplace chatbot feature may sit outside that package. Read the inventory, not the category name.

Can we inherit FedRAMP from the data center landlord?

Not as a shortcut. Facility certifications and cloud service authorizations are different objects. Colo power and cages do not authorize the software you run on the GPUs. If you need a cloud service authorization, you need that service’s package.

Is FedRAMP the same as an agency ATO?

FedRAMP can be used as the cloud portion of an agency authorization story. The agency still issues its own authorization to operate for the system that includes your application, data, and connections. Do not tell reviewers that a provider logo finishes the ATO.

Should we wait for a provider to finish FedRAMP before training?

That is a policy and schedule decision. In-process is not authorized. Some teams train in an already authorized region with reduced features. Others keep training on-prem under their own ATO. Write the interim path so engineering does not invent a shadow endpoint.

Where does GPU attestation fit?

Confidential computing and GPU attestation are evidence types some buyers want. They are not FedRAMP by themselves, and this page does not treat them as a OneSource product claim. If you need attestation, put it in a separate control requirement and verify the SKU actually exposes it.

Summary

FedRAMP for AI infrastructure is a boundary and evidence problem. Name the authorized service, list GPUs, weights, logs, and subprocessors, and keep HIPAA, SOC 2, and CUI overlays on their own checklists. Do not accept a logo without a package.

If you need dedicated U.S. GPU environments while the authorization path is still being decided, evaluate private AI infrastructure for tenancy and residency, and keep FedRAMP status as a documented fact rather than an assumed badge.