QVAC vs cloud AI
QVAC vs cloud AI is a structural difference, not a feature gap — where your data goes, and what that costs you either way.
This is the foundational comparison, and the one from which every other comparison on this site descends. It is not really a contest between two products. It is a contest between two architectures.
| Cloud AI | Local AI (QVAC) | |
|---|---|---|
| Where your data goes | Transmitted to a provider's servers | Never leaves your device |
| Privacy guarantee | A policy you must trust | A property of where the code runs |
| Works offline | No | Yes |
| Account required | Yes | No |
| Cost per query | Per token | Zero after download |
| Peak capability | Higher | Bounded by your device |
| Keeps working if the vendor dies | No | Yes |
The structural difference
Cloud AI sends your data to a model. Local AI sends a model to your data. Everything else follows from that one fact: the privacy policies, the encryption claims, the compliance certifications.
The safest data is the data that was never transmitted.
What cloud AI does better
It would be worthless to write this comparison dishonestly, so: cloud models are more capable. They are larger than anything that fits on a phone, they have longer context windows, they know about recent events, and they improve without you doing anything.
- Frontier reasoning on genuinely hard problems
- Very long documents held in context at once
- Knowledge of the world after your model was trained
- No download, no storage cost, no device requirements
What local AI does better
The advantages are categorical rather than incremental. They are not things a cloud provider can add later, because they follow from where the computation happens.
- Your data is never transmitted, so it cannot be intercepted, retained, subpoenaed, or leaked
- It works with no network at all
- There is no account to be suspended and no subscription to lapse
- Latency is bounded by your hardware, not by a queue
- Cost per query is zero after the initial download
- It keeps working if the company that made it disappears
The trust question
A cloud provider asks you to believe a promise: that they will not train on your data, will not retain it, will not hand it over. Those promises may be sincere. They are also unverifiable, revocable, and irrelevant in the event of a breach.
Local inference replaces the promise with a fact about where the code runs. You do not have to trust the claim, because there is no mechanism by which it could be violated.
Choosing between them
Use the cloud for hard, impersonal problems. Use a local model for everything that touches your notes, your money, your health, your documents, and your correspondence. Most people's most frequent AI tasks fall into the second category, which is why on-device inference matters more than its raw benchmark scores suggest.
In a hurry? The quick-answer version covers the same ground in about a minute.
Common questions
Is QVAC more private than cloud AI?
Yes, structurally rather than by policy. QVAC runs the model on your device, so your input is never transmitted. A cloud provider can promise not to retain or train on your data, but that promise is revocable and unverifiable, and it cannot protect you from a breach of data you already sent.
Is local AI less capable than cloud AI?
For hard reasoning over long documents, yes. Cloud models are larger than anything that fits on a phone. For everyday tasks such as summarising a note, categorising a receipt, or explaining a contract clause, a small on-device model is usually sufficient.
Does local AI cost less than cloud AI?
After the one-time model download, inference on your own device has no per-query cost. Cloud providers charge per token, so high-volume repetitive work such as categorising thousands of transactions is dramatically cheaper locally.
Can local AI work without internet?
Yes. Once the model is downloaded, an on-device application works in airplane mode, in a tunnel, or in a country that blocks the service.