AI on existing infrastructure
Private AI on your existing hardware.
Use Iftah software on compatible servers and clusters you already own. No Iftah hardware lease required.
- Starting point
- Your existing servers, GPUs and private environment
- Deployment scope
- Private AI software and agreed integration work
- Before deployment
- Hardware, runtime and workload compatibility checked
Deployment scope
Your hardware. A defined software scope.
Review hardware, runtime and workload compatibility before agreeing software, integration and support.
Explore Iftah software- Customer-owned infrastructure
- Your compute, storage, network and facility remain part of your environment. Compatibility is reviewed; support for every device, driver or model is not assumed.
- Software and integration
- The agreed scope identifies the Iftah software, supported runtimes, model deployment work and application connections needed for your use case.
- Operations and support
- Name the owners for infrastructure availability, access, updates, monitoring and recovery. Support boundaries and any required upgrades belong in the proposal.
Connected or locally managed?
Choose the operating arrangement your policies permit. True air-gapped management stays local, without live external control; updates and support follow agreed offline procedures.
Available capacity depends on the hardware, model and workload. A compatibility review is not a promise that an existing system can meet every performance target.
Your next step
Check your hardware fit.
Bring your equipment list, one workload and network restrictions. We will discuss compatibility and the next validation step.
Schedule Demo