Turnkey On-Premise AI Server: 6-12 Week Deployment

By lamine yamal on May 7, 2026

turnkey-on-premise-ai-server-factory-deployment

Most industrial AI vendors sell a model. iFactory delivers a working factory. The difference shows up in the parts of the deployment nobody puts in their pitch deck — the cable from the PLC panel to the OPC-UA gateway, the firewall rule that lets the historian write back, the SAP RFC that posts the work order, the operator who needs the dashboard explained on Tuesday's night shift. We do all of that. The customer signs one purchase order; our team handles wire, network, cybersecurity zoning, model training, ERP integration, validation evidence, and operator handover. Below is the architecture that makes "turnkey" a concrete claim instead of a marketing word — a process flow from raw wire on the floor to AI-native production, drawn end-to-end, with the human and machine handoffs visible at every stage. The on-prem server stack underneath is the same RTX PRO 6000 Blackwell + 2× NVIDIA AGX Orin appliance that runs every iFactory application. To watch it operating live — wire to dashboard — walk the iFactory booth at SAP Sapphire Orlando, May 13 2026 — register here.

SAP SAPPHIRE ORLANDO · MAY 11–13, 2026 · LIVE END-TO-END DEMO
END-TO-END TURNKEY · WIRE TO AI-NATIVE · 6–12 WK GO-LIVE · ONE PO

From Wire On The Floor To AI-Native Production —
The End-To-End Turnkey Architecture

iFactory delivers the full chain: physical cabling from PLC and CCTV, OT network and cybersecurity zoning, on-prem AI server stack, model training on your data, ERP and SAP integration, validation evidence, and operator training. One PO; one go-live date; one team accountable for every wire and every screen. The architecture is drawn below — eight stages, three nodes, two human gates, zero hand-off gaps.

8 stages
Wire to dashboard, single accountability
6–12 wk
PO to AI live on production floor
1 PO
Wire + hardware + software + integration + training
$0
Recurring license · CapEx only · you own outright
The Hand-Off Gap Problem

Industrial AI Doesn't Fail At The Model. It Fails Between Vendors.

A typical industrial AI procurement involves a model vendor, a hardware reseller, an OT integrator, an IT integrator, an SAP partner, and a managed-service provider. Each one delivers a perfectly correct slice, then waits for the next. The customer ends up project-managing the gaps. iFactory's end-to-end model removes the gaps by removing the vendors. Talk to our deployment lead about how this maps to your floor.

FRAGMENTED PROCUREMENT
Five vendors, six months, no owner

Hardware ships from one supplier, model from another, network from a third. Each integration boundary is a meeting, an escalation, a delay. Six months later, the model exists, the hardware exists, and they don't talk to each other. Customer's IT team becomes the unwilling integrator.

END-TO-END iFACTORY
+
Wire to dashboard, one accountable team

iFactory holds every link in the chain. Field engineers run the cabling. OT team builds the OPC-UA bridge. AI team trains the model. SAP team posts the work orders. Training team trains the operators. One Gantt, one go-live certificate, one phone number when something needs attention.

"PLATFORM" THAT NEEDS INTEGRATION
!
A SaaS dashboard with no wires

"AI platform" without delivery scope is a UI looking for data. Customer still sources hardware, still hires an OT integrator, still owns the gap. The platform's success metric is logins; yours is uptime on the floor. Different problem entirely.

The End-To-End Architecture

Eight Stages From Plant Floor To AI-Native Production — Drawn

The architecture below is the actual delivery path. Eight stages, grouped into three logical layers — physical infrastructure, AI inference stack, and business consumption. Each stage shows what arrives, what leaves, who is responsible, and where the human-in-loop gates sit. The two AGX Orin edge nodes feed the RTX PRO 6000 Blackwell twin server; the twin server feeds the dashboards, ERP, and audit trail.

LAYER 1 · PHYSICAL INFRASTRUCTURE · iFACTORY FIELD TEAM
01
PLC & CCTV Wire Connection

Field engineer on-site. Physical cable runs from your PLC panel to the AGX Orin gateway. RTSP feeds from existing CCTV pulled into Orin Node 2 — no new cameras. Industrial enclosure mounted on DIN rail in your control room.

OUT tagged sensor data + camera streams
02
L4 L3 L2
OT Network & IEC 62443 Zoning

Network zoning to the Purdue model — Level 2 control, Level 3 OT, Level 4 IT. iFactory drafts the zoning diagram and firewall rule set. Your IT/OT lead signs. Air-gapped from public internet by default.

OUT signed zoning diagram + secured channel
03
Server Stack Racking & Power

Pre-racked AI server stack arrives burn-in tested. Field engineer racks, plugs power and Ethernet, runs commissioning script. RTX PRO 6000 Blackwell twin server + two AGX Orin gateways come up on your zoned network.

OUT three live nodes on the OT network

DATA FLOWS UP TO INFERENCE

LAYER 2 · AI INFERENCE STACK · iFACTORY AI TEAM
04
Tag Ingest & Stream Decode

Orin Node 1 pulls PLC tags via OPC-UA at 1 Hz, less than 10 ms latency. Orin Node 2 decodes 8–16 RTSP streams in hardware. Both forward to the twin server. Historian write to PI / Aveva / Ignition at 500 ms cadence.

OUT normalised data stream + frames
05
Model Inference On RTX PRO 6000

Application model runs on the Blackwell twin server. Steady-state filter, model inference, SHAP attribution, confidence scoring. Output goes to two places: a recommendation queue for human review, and the audit-trail writer for retention.

OUT recommendation + confidence + SHAP
!
Human-In-Loop Gate

Engineer reviews the recommendation, SHAP factors, safety thresholds. For control adjustments, operator commits manually in the DCS or BMS. For regulated records, QA signs in the eBR system. AI never writes to PLC. AI never signs records. Boundary is architectural.

OUT approved action + audit entry

APPROVED ACTIONS FLOW DOWN TO BUSINESS

LAYER 3 · BUSINESS CONSUMPTION · iFACTORY ENTERPRISE TEAM
06
Operator & Engineer Dashboards

Real-time dashboards for shift floor, engineering desk, and management review. KPIs, recommendations, model confidence, recent decisions, audit trail snapshots. Mobile-responsive for shift supervisors. Same data, different views per role.

OUT role-based dashboard views
07
SAP MES QMS
SAP, MES, QMS Posting

Approved actions flow into the systems your business already runs on. Work orders into SAP / Oracle / IFS. eBR drafts into Werum / Körber MES. Deviations into Veeva / MasterControl QMS. Materials and finance posted to the right ledgers automatically.

OUT records in your systems of truth
08
Audit Trail & Validation Evidence

Every operator turn, model output, human gate decision, and downstream posting written to an immutable audit trail. 21 CFR Part 11 aligned where regulated. URS, FS, IQ, OQ, PQ documentation maintained as live deliverables for your validation team.

OUT inspection-ready audit trail

Why three layers, not one: separation of concerns is what makes the architecture audit-ready. Physical infrastructure is owned by your IT/OT and our field team. AI inference is owned by our AI team. Business consumption is owned by your enterprise systems and our SAP team. Each layer has clear inputs, clear outputs, and clear sign-off — which is what regulators, auditors, and your own validation team look for. Walk through the architecture in person at Orlando.

Who Does What — The Honest RACI

A Real RACI Chart, Not A Marketing One

A RACI chart that says iFactory is "Responsible" for everything is a chart that hides the real work. Below is the actual division of labour for an end-to-end deployment. Where you appear, you appear. Where we appear, we appear. Where both of us appear, we agree on the boundary at PO and write it into the contract.

Activity iFactory Your IT / OT Your Operations Your Validation / QA
Cabling, racking, power-up Responsible Consulted Informed Informed
OT network & IEC 62443 zoning Drafts & executes Accountable & signs Informed Informed
OPC-UA, RTSP, historian config Responsible Consulted (credentials) Informed Informed
Model training on your data Responsible Informed Consulted (edge cases) Informed
Safety thresholds & permit limits Encodes Informed Accountable & signs Consulted
SAP / MES / QMS integration Responsible Accountable (sandbox + UAT) Informed Informed
Validation evidence (URS / FS / IQ / OQ / PQ) Drafts Informed Informed Accountable & signs
Operator & engineer training Delivers (3 days on-site) Informed Accountable (attendance) Consulted (regulated SOPs)
Approve setpoint adjustments / sign records Never Informed Accountable Accountable (regulated)
Year-1 monitoring & recalibration Responsible Consulted (patches, change windows) Informed Informed
Year-2 onwards (your choice) Optional support Accountable if in-house Informed Informed
What "AI-Native" Actually Means

Six Things That Are True On An AI-Native Floor — And Six That Aren't

"AI-native" is one of those terms that means whatever the person using it wants. We use it specifically. An AI-native floor has six concrete properties listed in the left column. It does not have the six properties in the right column — those are the dystopian-vendor-pitch version, and they're either not real or not safe in regulated industrial environments.

AI-native means
YES
Models trained on your operating envelope, refreshed monthly on closed batches and shift logs.
YES
Recommendations surfaced to engineers with confidence scores, SHAP explanations, and prior-event citations.
YES
Voice and chat copilot for operators, mandatory citation, on-prem retrieval over SOPs and eBR.
YES
Vision AI on existing CCTV — PPE, leaks, abnormal flame — alerts to SCADA in under 100 ms.
YES
Audit trail captures every operator turn, every model output, every human decision — Part 11 aligned.
YES
ERP, MES, QMS receive AI-drafted records and work orders for human approval before posting.
AI-native does not mean
NO
A model that writes setpoints to your PLC or BMS without human review.
NO
A "self-driving plant" replacing your operators — operators stay; the AI gives them better inputs.
NO
Automatic batch release, automatic deviation closure, automatic CAPA sign-off — none of these.
NO
Your operating data sent to a cloud LLM you don't control. Data stays on the appliance you own.
NO
A "zero ops" promise — model drift exists, retrains are required, monitoring is real work.
NO
A black-box recommendation with no explanation — every recommendation carries SHAP / citation / confidence.
The Hardware Underneath

Three Boxes Run The Whole Architecture — Same Stack, Every Application

The architecture above doesn't change between deployments. The three boxes that run it don't either. Whether the application is hearth wear forecasting, eBR drafting, operator copilot, or excess-O2 trim — same RTX PRO 6000 Blackwell twin server, same two AGX Orin edge gateways, same delivery model. To see the rack racked and running, walk the booth at Orlando.


RTX PRO 6000 Blackwell
Digital Twin Server · runs the model + dashboards
GPUNVIDIA RTX PRO 6000 Blackwell · 96 GB GDDR7
CPUAMD Ryzen 7 9900X · 12-core
RAM128 GB DDR5 · 6000 MHz
Storage2 TB NVMe M.2 SSD
PSU1000 W · 80+ Gold
OSUbuntu 25 LTS
Pre-loadedNVIDIA Omniverse · iFactory twin · application model
Form factorMid Tower ATX (15" × 8.5" × 17.5")

NVIDIA AGX Orin · Node #1
PLC Edge AI · OPC-UA gateway
ModuleNVIDIA Jetson AGX Orin
CPU12-core ARM Cortex-A78AE
GPU2048-core Ampere + 2× DLA
Memory64 GB unified LPDDR5
ProtocolsOPC-UA · EtherNet/IP · Modbus TCP
ConnectsAllen-Bradley · Siemens · Honeywell · Yokogawa
Tag syncReal-time · less than 10 ms latency
Form factorIndustrial enclosure · DIN-rail mount

NVIDIA AGX Orin · Node #2
CCTV Edge AI · vision gateway
ModuleNVIDIA Jetson AGX Orin
DecodeNVDEC hardware H.265 / H.264
Streams8–16 simultaneous RTSP streams
ModelsCNN / vision models on DLA engine
ConnectsAll existing plant CCTV · no new cameras
IngestRTSP · zero extra GPU load on twin
Anomaly alertsLess than 100 ms latency to SCADA
Form factorIndustrial enclosure · DIN-rail mount
FAQ

What Plant Managers, COOs & IT Directors Ask About End-To-End Scope

Does iFactory really run the cabling?

Yes. Our field engineers run the physical cable from your PLC panel to the AGX Orin gateway, mount the industrial enclosure on DIN rail, and pull RTSP feeds from existing CCTV. We don't sub-contract the wire to a separate integrator — same engineers who racked your appliance handled the cable. One phone number for the whole layer.

What if our IT team wants to own the network zoning?

Then they own it. Our deployment model is flexible at the IT/OT boundary — we'll either draft the IEC 62443 zoning diagram and execute it, or we'll review your team's plan and integrate against it. Either way, your IT/OT lead signs off before anything goes live. Most customers prefer we draft and execute; some IT teams prefer to own the network. Both work.

How does the SAP / ERP integration actually work?

Phase 3 of the deployment includes the ERP tie-in. For SAP S/4HANA or ECC, we use standard BAPIs / RFCs to post work orders, materials movements, and finance entries. Oracle EBS, IFS Cloud, Microsoft D365, Infor, and Epicor are similarly integrated through their standard APIs. Our enterprise team handles the development; your SAP team owns sandbox + UAT acceptance. Posting is always to a draft state requiring human approval before commit.

What about cybersecurity and compliance audits?

The architecture is designed against IEC 62443, NIST 800-82, and GAMP 5 Second Edition by default. Audit trails are 21 CFR Part 11 aligned for regulated environments. Read-only credentials to source systems by default. Air-gapped from public internet by default. SOC 2 Type II report available under NDA. We hand over the security architecture documentation as a deliverable at week 12 — your SOC and compliance teams have a single document set to reference.

Can we phase the deployment across multiple lines or sites?

Yes — most customers do. The first deployment establishes the architecture, network zoning, and integration patterns. Subsequent lines or sites reuse the patterns and run faster. The hardware can either scale (one appliance per site) or centralise (one appliance serving multiple lines), depending on data volume and latency requirements. We Gantt the multi-site rollout at PO with clear go-live dates per location.

What if we want to see this running before committing?

That's the Orlando booth. The full three-node stack is racked and running at SAP Sapphire, May 11–13. You can walk the architecture stage by stage with our deployment team, see the dashboards, ask about your specific environment, and leave with a draft Gantt for your floor. If Orlando doesn't work, we run remote walk-throughs against the same stack on request.

SAP SAPPHIRE ORLANDO · MAY 11–13, 2026 · LIVE END-TO-END DEMO

Want To Walk The Architecture Live? See It Running In Orlando.

The full eight-stage architecture — wire ingest, edge inference, twin server, dashboards, ERP posting — running on the actual three-node stack at the iFactory booth at SAP Sapphire Orlando, May 11–13. Bring your floor profile and the application you want to start with. Our deployment lead walks the architecture stage by stage and sketches a 12-week Gantt for your environment. If you can't make Orlando, we'll schedule a remote walk-through against the same live stack.

8 stages
Wire to AI-native production

3 nodes
Twin server + 2 edge gateways

1 PO
One owner end-to-end

100%
You own it

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