Proof, not promises

TenDev AI Infrastructure Deployment

Client project · Delivered. We connected TenDev's AI workloads to dedicated GPU infrastructure and engineered the deployment path around real application traffic.

GPU infrastructure connected to production AI endpoints
01

Compute that matches the workload

The work centered on RunPod integration: connecting application requests to GPU-backed inference while keeping deployment behavior predictable and observable.

02

From endpoint to production flow

We implemented the deployment path around the model endpoint, including the application-facing connection and the operational behavior needed outside a prototype.

RunPod integration

GPU workload deployment

Application endpoint connection

Production delivery

03

Infrastructure in service of the product

The result is not a standalone model demo. It is an integrated AI capability that can be called from TenDev's product workflow.

Have a process in mind?

Tell us about one workflow that takes more time than it should. We'll tell you honestly whether automation makes sense.

Walk us through a process