VEKTOR structures AI factory delivery into four clear phases, so you’re never staring at a blank slate wondering what comes next.
Design. Before a single workload runs, you plan your GPU fleet topology, define your tenant architecture, configure switch fabric, and establish your service catalog and token pricing model. You’re designing the factory deliberately instead of discovering its shape by accident.
Build. You deploy and configure the full infrastructure stack, onboard tenants, activate workload pipelines, connect your public and private LLM APIs, and validate that token flows work end to end. The build phase turns the design into a running system.
Operate. You run the factory in production — monitoring GPU health, managing token throughput, tracking revenue, optimizing workloads, and enforcing governance at scale.
Handover. For providers and integrators,
VEKTOR delivers a production-ready factory to the client team with full documentation, training, audit trails, and self-service capabilities — so they walk away with complete operational autonomy.
The value of this model is that it compresses a sprawling, ambiguous project into a repeatable sequence. Whether you’re an enterprise standing up an internal factory or an integrator delivering one for a client, you follow the same proven path — and you get there faster because the platform already knows the steps.
