Which placement fits.
The three, side by side.
Every placement runs the same Duplex. They differ in who runs it, where your data and learning stay, and whether it needs a connection. Start with what fits today: what Duplex learns moves with you.
Side by side.
What each placement means for who runs it, where everything stays and what it needs.
| Placement | Vareon Cloud | Your cloudEnterprise | Your edgeEnterprise |
|---|---|---|---|
| Who runs it | Vareon | You, or Vareon for you | You |
| Where it runs | In Vareon Cloud | In your cloud account and region | On your devices, machines and sites |
| Where data and learning stay | In your own space, kept separate | In your account | On your devices or site |
| Connection | Online | Under your network policy | Optional: it works offline |
| Your AI | Your own model access | Your model, outside or in your account | Your edge AI, or a local model |
| Hardware | Nothing to run | Ordinary cloud servers, no GPU | Ordinary CPUs, no GPU |
| Releases | Kept up to date by Vareon | Signed, installed by you or Vareon | Signed, installed by you |
| Licensing | Part of your plan | Set in your agreement | Works offline |
| Offered as | A plan, after a pilot | Enterprise, planned with you | Enterprise, planned with you |
| Best for | The quickest start | Data and keys in your own account | Devices, sites and work where nothing may leave |
- Vareon Cloud
- Who runs it
- Vareon
- Where it runs
- In Vareon Cloud
- Where data and learning stay
- In your own space, kept separate
- Connection
- Online
- Your AI
- Your own model access
- Hardware
- Nothing to run
- Releases
- Kept up to date by Vareon
- Licensing
- Part of your plan
- Offered as
- A plan, after a pilot
- Best for
- The quickest start
- Your cloudEnterprise
- Who runs it
- You, or Vareon for you
- Where it runs
- In your cloud account and region
- Where data and learning stay
- In your account
- Connection
- Under your network policy
- Your AI
- Your model, outside or in your account
- Hardware
- Ordinary cloud servers, no GPU
- Releases
- Signed, installed by you or Vareon
- Licensing
- Set in your agreement
- Offered as
- Enterprise, planned with you
- Best for
- Data and keys in your own account
- Your edgeEnterprise
- Who runs it
- You
- Where it runs
- On your devices, machines and sites
- Where data and learning stay
- On your devices or site
- Connection
- Optional: it works offline
- Your AI
- Your edge AI, or a local model
- Hardware
- Ordinary CPUs, no GPU
- Releases
- Signed, installed by you
- Licensing
- Works offline
- Offered as
- Enterprise, planned with you
- Best for
- Devices, sites and work where nothing may leave
Choose by what the work needs.
Start from what must be true, and the placement follows.
- A managed service is fine and you want the quickest startChoose Vareon Cloud →
- Data and keys must stay in an account you ownChoose your cloud →
- The work happens on your own devices, machines or sitesChoose your edge →
- Nothing may leave, or there is no connectionChoose your edge →
- Devices at the edge, and a view across every siteCombine your edge and your cloud →
- Your requirements may get stricterStart with what fits today. What you own moves with you →
Questions to settle first.
Six questions decide most deployments. Bring the answers, and we plan the rest with you.
Where must the data stay?
In a managed service, in an account you own, or on your own devices and sites.
Who will run it?
Vareon, your own team, or Vareon inside your account, with the access you delegate.
Is there always a connection?
If not, or if there must never be one, Duplex runs at your edge and works offline.
Where does your AI run?
A hosted model, a model in your own cloud, or the edge AI on your devices.
How many devices and sites?
One machine, one site, or a fleet with a central Duplex across it.
What may change later?
Start where the work fits today. Everything Duplex learned moves with you.
Choose the boundary that fits the work.
Start a pilot in Vareon Cloud. For your cloud or your edge, contact us at hello@vareon.com and we plan the deployment with you.