Hosted or on-premises. Same private AI.
Every Rogue Networks platform runs the same software, the same open-weight models and the same security controls. The only question is where the GPUs live: in your own isolated cloud account, or on hardware you own. Here’s how to tell which fits.
| Hosted | On-premises | |
|---|---|---|
| Where it runs | HostedYour own isolated cloud account | On-premisesYour server room, or a colocation data center |
| Hardware purchase | HostedNone | On-premisesYes — you own it |
| Time to running | HostedWeeks | On-premisesWeeks to months, depending on hardware lead times |
| Running cost | HostedMonthly cloud bill, paid directly by you | On-premisesPower and cooling; hardware paid once |
| Best economics | HostedLight, variable or uncertain use | On-premisesHeavy, all-day use over several years |
| Scaling | HostedAdd or remove GPUs as usage changes | On-premisesAdd hardware |
| Data location | HostedThe cloud region you choose | On-premisesInside your building, or a facility you choose |
| Fully air-gapped | HostedNo | On-premisesYes |
| Who can see your data | HostedYou. The cloud provider hosts the servers under its standard agreements; no AI company is involved | On-premisesYou |
Hosted
Private AI without buying a server.
Your account, not mine. The system is built inside a cloud account that belongs to you — AWS, Azure or Google Cloud. You own it, you see the bill, and it stays yours no matter what.
Dedicated and isolated. The GPUs are dedicated to your system, in a private network with no public endpoints. Staff reach it through your existing VPN or a private connection, signed in with your directory.
No AI company in the middle. The models are open-weight models running on your servers. Prompts and documents are never sent to OpenAI, Google, Anthropic, Microsoft or anyone else’s AI service.
Compliance-ready clouds. The major clouds sign HIPAA business associate agreements, and AWS GovCloud and Azure Government are available for controlled defense information.
Pay for what you use. GPUs can scale with demand or be scheduled off outside business hours.
On-premises
Hardware you own, in a room you control.
For data that can’t leave your building, networks with no internet at all, or heavy all-day use where owning the hardware costs less than renting it. Systems are delivered built, configured and tested. They can live in your server room or in a colocation data center of your choice.
Workgroup
One office or department. Quiet enough for a closet or under a desk.
Rack
A whole company on one system, in your server room or rack.
Cluster
Multiple sites, heavy workloads, or no tolerance for downtime.
Hardware listed reflects current NVIDIA Blackwell-generation parts. Your proposal names every component.
Start small, move when it’s proven
The path many clients take.
Pilot, hosted
One team, real documents, real work. Running in weeks with nothing to buy.
Measure
Real usage, real answer quality, real cost — instead of guesses.
Decide on facts
Stay hosted and grow, or move the same system onto hardware you own.
More questions
- Who pays the cloud bill for a hosted system?
- You do, directly to the cloud provider. I don’t resell or mark up cloud costs, and the account stays yours if we ever stop working together.
- Can we start hosted and move on-prem later?
- Yes. The platform is the same software in both places, so moving is a migration, not a rebuild. Starting hosted is a good way to learn your real usage before buying hardware.
- Which cloud providers do you use?
- AWS, Microsoft Azure or Google Cloud — usually whichever you already have. For controlled defense information, AWS GovCloud or Azure Government.
- Can a hosted system be shut down at night?
- Yes. GPUs can be scheduled to run only during business hours, which can cut the cloud bill substantially for lighter workloads.
Not sure which fits?
Tell me what your data is, how many people would use it, and what rules you work under. The assessment ends with a clear recommendation.