// private ai

Need to deploy private AI?

Give us your workload, users, budget and timeline. Within 48 hours we’ll give you a validated cloud/on-prem architecture, BOM, expected costs and sourcing options.

48hours from brief
to blueprint

2 · Users

3 · Budget

4 · Timeline

Where should it run?

// what you get

Four documents. One decision.

01

Validated architecture

Cloud, on-prem or hybrid, checked against vendor support matrices.

Users
Gateway
vLLM / NIM
GPU nodes
Vector DB

02

Bill of materials

Every line: GPUs, servers, network, storage, software, support.

GPU server, 4× accelerator2
100G switch2
NVMe storage node1
AI software subscription1 yr

03

Expected costs

Up-front, running and per-user, side by side for each option.

On-prem
Private cloud
Hybrid

04

Sourcing options

Suppliers, lead times and alternatives if a part is short.

Supplier A

3 wks

Supplier B

5 wks

Supplier C

Alt. SKU

Previews are illustrative; yours are built from your brief.

Your data. Your models.
Your infrastructure.

Your data stays yours

Prompts, documents and outputs never leave infrastructure you control.

Cost you can predict

Sized to your users, so spend tracks usage, not per-token surprises.

Speed and control

Pick the models, the latency and the upgrade schedule yourself.

Built for your rules

Designed around your security, residency and audit requirements.

On-prem

GPU servers in your rack or colo.

We compare all three

Private cloud

Dedicated GPUs on Azure, AWS or Google Cloud.

Hybrid

Sensitive work on-prem, burst to cloud.

  1. Hour 0

    Brief

  2. Hour 48

    Blueprint

  3. Then

    Source

  4. Deploy

  5. Operate

Your blueprint, 48 hours from now.

We design it, validate it, source it, deploy it and help run it.

Start the brief

Workload, users, budget and timeline. That's all we need to start.