Most plant-AI projects die in the integration. A pilot proves the model works, and then the real timeline begins: spec the hardware, wait on procurement, argue over where the data goes, schedule the network team, write the PLC interfaces, train the operators — and eighteen months later the "quick win" is still a slide deck. The turnkey model exists to kill that timeline. Instead of buying components and stitching them together, you receive a pre-configured NVIDIA AI server that ships racked and ready, software already loaded. You rack it, plug in power and Ethernet, and the AI is live — fully deployed in six to twelve weeks, not a multi-year program. Hardware, software, integration, operator training, and 24×7 support arrive as one contracted deliverable. iFactory's turnkey AI deployment is built so an automotive plant goes from kickoff to go-live in a single quarter.
iFactory Turnkey AI Deployment
6-12 Week Turnkey AI Deployment for Automotive Plants
A pre-configured NVIDIA AI server ships racked and ready with software pre-loaded. Plug in power and Ethernet, and AI is live — a 3-phase roadmap from kickoff to go-live in 6 to 12 weeks.
6-12 wk
Kickoff to go-live
What You Get — One Deliverable, Not a Parts List
The defining feature of turnkey is that it is not a shopping list of components you assemble. It is a single, fully-loaded delivery: the AI server arrives pre-configured and rack-ready with the software already installed, and the scope covers everything needed to make it work on your floor. There is no separate hardware purchase, no integrator to coordinate, no software install project.
Hardware
A pre-configured NVIDIA AI server, racked and ready — Blackwell-class GPU for model training and IGX Thor for sub-50ms plant-floor edge inference.
Software
The iFactory platform pre-loaded and validated on the server before it ships — quality, SPC, vision, and analytics ready out of the box.
Integration
Cabling, network, and read-only PLC/SCADA integration handled — inbound data collection only, no write path, no external egress.
Training & Support
Full operator training and 24×7 remote monitoring, so the plant team owns the system rather than depending on a vendor call.
Rack It, Plug It In, It's Live
Because the server ships pre-validated — fully cabled and tested before it leaves the factory — physical installation is genuinely a plug-in, not a build. The complex integration work happens in the deployment phases around it, but the box itself goes from pallet to powered-on in an afternoon.
1
Rack the server
The pre-configured NVIDIA AI server slots into your plant rack, shipped pre-validated and ready.
2
Plug power + Ethernet
Two connections — power and network. No assembly, no software install on site.
3
AI is live
The pre-loaded platform comes online and begins learning your line — within your firewall.
The 3-Phase Deployment Roadmap
The six-to-twelve-week timeline is not a hopeful estimate — it is a structured three-phase roadmap, each phase with a defined outcome. Weeks one to four ship and connect; weeks five to eight train the models and run a pilot; weeks nine to twelve go live and train the people. By the end, the plant is running on AI it trusts.
Weeks 1-4
Ship + Network + Data
The pre-configured server ships and is racked. Read-only PLC/SCADA and line-data connections are made, and the AI begins ingesting your plant's operational data to establish a baseline.
Outcome: connected, data flowing
Weeks 5-8
Model Train + Pilot
Models train on your plant-specific data — more accurate than generic cloud models — and run in pilot against real production, validating the business case before full go-live.
Outcome: pilot validates the value
Weeks 9-12
Go-Live + Training
The system moves to full production, operators are fully trained on the screens and recommendations, and 24×7 monitoring is active. The plant owns a running AI capability.
Outcome: live, trained, supported
Want the 3-phase roadmap mapped to your plant and timeline? Get a turnkey AI quote — 12-week delivery and we'll scope the deployment to your line.
Why Turnkey Beats Build-It-Yourself
The alternative to turnkey is the integration project that kills most plant-AI efforts: separate hardware procurement, a systems integrator, a software install, and an OT-security review, each on its own timeline, each a place to stall. Turnkey collapses all of it into one delivery with one accountable owner — which is why it goes live in a quarter instead of stretching across years.
Build-It-Yourself
A Project That Stalls
Hardware specced and bought separately, on procurement's timeline
An integrator coordinated to stitch components and write interfaces
Software install and tuning as a separate downstream phase
Timelines stretch to many months or years; the win never lands
Turnkey Delivery
Live in a Quarter
Server ships pre-configured and rack-ready, software pre-loaded
One contracted deliverable, one accountable owner end to end
Integration, training, and support included in the scope
Kickoff to go-live in 6 to 12 weeks, on a defined roadmap
On-Prem, Inside Your Firewall
For an automotive plant, where the data is proprietary and the OT network is sacred, the turnkey server runs on-premise — all AI processing within your firewall, with no internet connectivity required to operate. The integration is read-only by design, so there is no path from the outside into your control systems. Data residency and IT governance are satisfied by architecture, not by promise.
Air-Gap Available
All AI processing happens within your firewall on the in-plant server; a fully air-gapped deployment requires zero internet connectivity to run.
Read-Only Integration
PLC/SCADA connection is strictly inbound data collection — no write capability, no external egress, no path into OT from outside.
Sub-50ms Edge Inference
IGX Thor edge compute runs inference locally in real time, fast enough for line-speed decisions that a cloud round-trip could never make.
Plant-Specific Accuracy
Models train on your operational data, reaching higher accuracy than generic cloud models trained on cross-client datasets.
What the Timeline Delivers
The turnkey model converts directly into speed-to-value and a deployment that actually finishes. These reflect on-premise turnkey AI deployments in manufacturing.
6-12 wk
To full go-live
a single quarter, not a multi-year integration program
6 wk
Pilot validates value
the business case proven before full deployment
Zero
Production stoppage
deployment proceeds without halting the line
No new
Hardware to buy
the AI server is supplied and installed, not procured separately
Every week saved on deployment is a week of value earned. Want the deployment scoped and scheduled for your plant? Talk to our deployment engineers.
Frequently Asked Questions
Do I buy the NVIDIA servers separately?
No — fully-loaded AI servers are supplied and installed as part of the turnkey deliverable. The server arrives pre-configured and rack-ready with the software already loaded; there's no separate hardware purchase, no procurement cycle for compute, and no integrator to coordinate. Hardware, software, integration, training, and support are one contracted delivery, which is what makes the 6-to-12-week timeline possible.
Is 6 to 12 weeks really realistic for a plant AI deployment?
Yes, because the work is structured into a defined three-phase roadmap rather than an open-ended integration. Weeks 1-4 ship the pre-configured server, connect the network, and start data collection; weeks 5-8 train the models on your data and run a validating pilot; weeks 9-12 go live with full operator training and 24×7 monitoring. The server shipping pre-validated removes the build phase that normally consumes months.
What does the plant actually have to do to install it?
Physically, very little: rack the pre-configured server, plug in power and Ethernet, and the pre-loaded AI comes online. The server ships fully cabled and validated, so there's no on-site assembly or software install. The substantive work — network integration, model training, the pilot, operator training — is handled across the deployment phases, but the box itself goes from pallet to powered-on in an afternoon.
Will this touch our OT network or expose our data?
No. The server runs on-premise with all AI processing inside your firewall, and the PLC/SCADA integration is strictly read-only — inbound data collection with no write capability and no external egress, so there's no path from outside into your control systems. A fully air-gapped deployment is available requiring zero internet connectivity to operate, which suits automotive data-residency and IT-governance requirements.
Does the deployment interrupt production?
No — the deployment is designed to proceed without halting the line. Because the integration is read-only and the server installs alongside existing systems rather than replacing them, data collection and model training happen while the plant keeps producing. The pilot in weeks 5-8 runs against live production to validate the business case, and go-live in weeks 9-12 brings the system to full operation without a production stoppage.
From Kickoff to Go-Live in a Single Quarter.
Get a Turnkey AI Quote — 12-Week Delivery
Tell us your plant and the line you want AI on. We'll scope the pre-configured NVIDIA server, map the 3-phase roadmap to your calendar, confirm the on-prem and OT-security fit, and lay out the hardware-plus-software-plus-training-plus-support deliverable — live in 6 to 12 weeks.
Racked
+ ready to plug in
On-prem
Inside your firewall
