Workload sizing
Models, users, document volume, automation load, storage, network throughput, and expected growth.
Infrastructure & deployment
Put the AI where the organization can control and support it.
Vai-Nova can assess the workload, establish budget options, specify and build the hardware, install the system, protect the data, and support the operating environment.
Deployment choicesOn-premisesManaged colocationHybridApproved cloud integration
Inside your business
On-Premises AI
Private AI infrastructure installed in the customer’s facility, sized around the workload, data sensitivity, user count, growth, and available budget.
- Workload and data assessment
- Good / better / best hardware budget options
- Build, configuration, installation, backup, and handoff
Users
Private AI Server
Protected Data
Hardware engineering
We build the cost model before we build the server.
Customers see what is hardware, licensing, engineering, installation, support, backup, connectivity, and colocation. This makes it possible to adjust scope without hiding the tradeoffs.
Current, supported components
Business-grade systems selected for lifecycle, serviceability, performance, and availability—not novelty alone.
Growth planning
Memory, storage, GPU, network, power, backup, and rack capacity planned so the customer can expand deliberately.
Data protection
Backup and encryption are part of the deployment.
Encryption in transit
Protected links between users, applications, on-premises systems, colocation, and backup targets.
Encryption at rest
Protected production and backup storage with a defined key-management approach.
Recovery copies
Separate, access-controlled, and where appropriate immutable copies beyond the production environment.
Restore testing
A backup is not complete until recovery has been tested and the procedure is documented.
Practical budgets
Start with what creates value, then grow.
A department node or controlled pilot may be the right first step. A multi-server, redundant environment is only justified when the workload and business risk require it.
Pilot nodeOne team or use case
Business systemRegular production use
Resilient platformRedundancy and recovery
Custom architectureComplex or high-capacity needs
Need an infrastructure budget?
We can begin with workload discovery and produce realistic deployment options before hardware is purchased.