C-0001 / negative
Compute stock is at most a declared amount
A party holds no more AI-relevant compute, counted in chips or equivalent capacity, than the total it has declared.
Start with the question
A claim comes before a certificate.
Define what you need to establish, then inspect the techniques that could supply evidence. Each claim has a boundary; a successful check only speaks within it.
C-0002 / positive
Chips are where they are declared to be
Specific AI chips are physically located at the sites a party has declared, throughout the declared period.
C-0003 / negative
Declared hardware is idle or shut down
Specified AI chips or facilities are not performing computation, or are powered off, throughout a declared period.
C-0004 / mixed
This compute runs inference, not training
A declared cluster is used only to run existing models to produce outputs, and not to train new or more capable models.
C-0005 / positive
The declared model is the one being served
Outputs delivered to users or auditors come from the specific model, weights and configuration the provider declared, not from a substitute.
C-0006 / positive
Declared safeguards were applied during inference
Specified safety measures, such as input filters, output checks or monitoring, actually ran on the requests a deployed model served.
C-0007 / mixed
A training run stayed within declared limits
A declared training run used no more compute than permitted and had its declared properties, such as training data, settings and resulting weights.
C-0008 / negative
Communication between compute groups is bounded
Data flowing between specified groups of chips, or out of a facility, stays below a declared rate.
C-0009 / negative
Model weights have not left the facility
No copy of specified model weights has left a designated facility through networks, physical media or other channels.
C-0010 / negative
There is no undeclared relevant compute
A party controls no AI-relevant computing hardware or facilities, above an agreed threshold, beyond those it has declared.