A complete factory AI system, ready to run. NVIDIA RTX PRO 6000 Blackwell as the central server (in the variant that matches your plant), paired with two Jetson AGX edge boxes — one for sensors, one for cameras. Catches breakdowns weeks early, spots defects in real time, stops you over-servicing equipment. We'll have the whole thing running live at the OxMaint webinar on May 12. Pilot to fully running in 6–12 weeks. You buy it once, you own it forever. Register for the event to see it running and get a quote on the spot.
What's in the Box
The factory AI stack from the blog title — RTX PRO 6000 Blackwell as the central server, Jetson AGX as the edge gateways. The RTX PRO 6000 ships in three real variants, all built on the same Blackwell chip with 96GB memory, but tuned for different deployment sizes. Pick the one that matches your plant — the two Jetson AGX edge boxes stay the same regardless. Everything sits inside your building, behind your firewall. Register to see all three variants running at the event.
RTX PRO 6000 BLACKWELL — PICK YOUR VARIANT
SMALL — 1 PLANT
RTX PRO 6000 Workstation Edition
Full-power desk-side card. Fits in a tower workstation in your IT room.
Best for: one plant · up to 500 pieces of equipment
600WFULL POWER
MEDIUM — 4–12 PLANTS
RTX PRO 6000 Max-Q Edition
Half the power, same brain power. Up to 4 cards in one workstation.
Best for: a few plants reporting to one corporate team
300WEFFICIENT
LARGE — ENTERPRISE
RTX PRO 6000 Server Edition
Rack-mounted. Pack up to 8 cards in one server. Runs 24/7.
Best for: 25+ plants across regions · enterprise data center
8×CARDS / RACK
connected by a regular network cable
EDGE BOX A — SENSORS
Sensor Edge Box
Plugs in
Listens 24/7
Sends to brain
EDGE BOX B — CAMERAS
Camera Edge Box
8 cameras
Always watching
Alerts brain
3
RTX PRO 6000 variants · pick by deployment size
96GB
VRAM in every variant · runs the largest AI models
$84.5K
Entry-tier total · everything included
$0/mo
No subscription · you own it
What This Stack Actually Does for Your Plant
Three real plant problems, three real outcomes. No jargon. If you're attending the event, you'll see all three running on real plant data. The buy decision usually closes when finance teams see Use Case 01's payback math against a single avoided breakdown. Register for the event to see all three running live.
USE CASE 01
Catch Equipment Breakdowns Two Weeks Before They Happen
PROBLEM
A pump fails in the middle of a shift. Production stops.
No one saw it coming. The team scrambles. A new part has to be flown in overnight. The line sits idle for 18 hours. Customers call asking where their order is.
~$42,000 lost per breakdown · happens 3–6 times a year
WHAT OUR STACK DOES
Listens to your equipment 24/7 and warns you weeks early.
Small sensors on the pump send tiny vibration signals to our edge box. The AI on the central server spots the early warning pattern and creates a maintenance ticket — automatically — two weeks before failure.
Sensors
→
AI Server
→
Early Warning
RESULT
You replace the part on a planned weekend. Nothing stops.
Standard delivery. Normal labor cost. No 3 AM phone calls. No angry customers. The breakdown that would have cost $42,000 simply doesn't happen.
~$42,000 saved every time · pays for itself the first time it works
USE CASE 02
Catch Bad Parts Before They Ship and Keep Workers Safe
PROBLEM
Defective parts ship. Safety incidents go unrecorded.
Inspectors are human — they miss 3 to 5 out of every 100 defects. Safety helmets and vests get checked once in a while. When something goes wrong, no one can find the camera footage that mattered.
~$180,000/yr in returns, complaints, and safety penalties
WHAT OUR STACK DOES
Watches every camera, every minute, and never gets tired.
Your existing security cameras feed into our edge box. The AI watches every frame for both product defects and safety violations — pings the operator's phone right at the line the moment something is off, and keeps a perfect timestamped record.
Cameras
→
AI Server
→
Instant Alert
RESULT
Defects stopped on the line. Safety record audit-ready.
Bad parts pulled before they pack. PPE checks happen automatically. When a regulator asks for footage of a specific incident, you have it in seconds. Insurance premiums drop.
~$140,000/yr saved · plus measurable insurance premium reduction
USE CASE 03
Stop Over-Servicing Equipment That Doesn't Need It Yet
PROBLEM
You service equipment every 30 days because the manual says so.
Half the time it didn't need servicing yet. You're paying labor and replacing parts that still had life left. Across 50 pieces of equipment, the waste adds up fast.
~$8,000 wasted per machine per year · ~$400,000 across 50 assets
WHAT OUR STACK DOES
Builds a virtual copy of your plant — like a flight simulator, but for your machines.
Our server runs a live model of your equipment, fed by your real sensor and camera data. Ask it "can we safely extend this service interval to 42 days?" — it tests a thousand scenarios in 15 minutes and gives you a confident yes or no, with the math to back it up.
Live Data
→
Virtual Plant
→
Safe Answer
RESULT
Service every 42 days instead of 30. Same uptime. Less cost.
Defensible decision your CFO can sign off on. Same reliability. Lower labor bill. Fewer parts replaced too early. Multiplied across every machine in your plant.
~$400,000/yr saved across a typical plant · forever
~$580K+
Combined yearly savings across the three use cases on a typical plant — against a one-time hardware cost of around $84,500 and zero monthly fees. Pays for itself inside year one. Keeps paying you back forever after.
Why Plants Buy This Stack Instead of Anything Else
Four reasons a plant manager picks this over any cloud-only solution, mixed-vendor mess, or generic IT server. Plain English. Real outcomes. Book a 1-on-1 demo if you can't attend the event.
01
You own it. Forever.
No monthly subscription. No "per user" fees. No "per camera" charges. You pay once. The hardware sits in your building. The software belongs to you. Your maintenance budget stops getting bigger every year.
One-time purchase · zero recurring fees
02
Your data never leaves your plant.
Sensor readings, camera footage, work orders — all stay on your server, behind your firewall. No data uploaded to anyone's cloud. Compliance teams stop worrying. Insurance teams stop asking questions.
Air-gapped option · fully on-premises
03
Fast enough to react in real time.
Cloud AI takes about a quarter-second to answer. Ours answers in under a hundredth of a second — fast enough to stop a robot, reject a defective part, or trigger a safety alarm. Cloud AI simply can't.
~30× faster than typical cloud AI
04
Pre-built. Plug in and run.
Not a six-month integration project. The server arrives at your dock with everything pre-installed — predictive maintenance, camera AI, digital twin, dashboard. Connected to your equipment within days. Pilot to full deployment in 6–12 weeks.
6–12 week deployment · pre-loaded
How Fast You Can Be Up and Running — 6–12 Weeks
From the day the server arrives at your dock to the day you go live. No twelve-month consulting project. No "phase one" that becomes phase three. The timeline below is what real customers see. Register for the event to walk through your specific timeline with our team.
W1
W2
W3
W4
W5
W6
W7
W8
W9
W10
W11
W12
PILOT
EDGE
FINE-TUNE
ROLLOUT
OPTIMIZE
Wk 8
Production cutover · typical
Wk 12
Full deployment · signoff
$0
Recurring fees · perpetual
About the Stack — Owned, Not Rented
Not a SaaS subscription. A pre-configured AI server bundled with the OxMaint AI runtime, predictive maintenance pipeline, digital twin engine, vision AI suite, and dashboard. Get a quote and order it — owned outright the day delivery completes.
Perpetual License
No monthly fees, no per-stream charges, no per-token billing. Ever.
Data Sovereignty
Sensor streams, video clips, model weights, audit trails — all behind your firewall.
Source Access
Source code + modification rights included. Customize stacks, extend connectors, build site-specific models.
AI-Native Core
Predictive maintenance, anomaly detection, NLP work orders, vision AI — all bundled.
May 12 · 5:30 PM EST · Orlando · Hands-On
The Whole System Will Be Running. Walk Up and Try It.
No slides. No marketing pitch. The complete factory AI stack will be running live on real plant data — you can touch the server, ask the AI questions, see the dashboard light up when a sensor catches a problem. Walk away with a full price quote you can take to your CFO and an order date you can put on the calendar. Deployments start at 6 weeks.
Frequently Asked Questions
How fast can we have this running in our plant?
From the day you sign the order to a fully running plant is usually 14 to 22 weeks. The server arrives at your dock in 4 to 6 weeks (longer if you pick the medium or enterprise brain). Once the server arrives, our team has the whole system running with your equipment in 6 to 12 weeks. There's no months-long consulting project — everything is pre-installed before it ships.
What does "you own it" really mean? What costs come later?
It means exactly what it sounds like. You pay one price up front. The hardware is yours. The software is yours. There are no monthly fees, no per-user charges, no "renewal" that goes up every year. You can keep using it forever without paying us another rupee. The only optional future costs are: support contracts if you want our help with upgrades, custom feature work if you want changes specific to your plant, and hardware refresh whenever you decide to upgrade — all entirely your choice.
Does this work with the equipment and cameras we already have?
Yes — that's the point. The sensor edge box plugs into your existing equipment regardless of brand or age. We've connected it to equipment from Siemens, Rockwell, Schneider, Mitsubishi, and pretty much every major industrial brand. The camera edge box works with your existing security cameras — no need to replace them. And we connect to whatever maintenance software you already use (SAP, Maximo, eMaint, and others), or you can switch fully to ours. All of this gets sorted in the first 4 weeks of deployment.
Will our data be safe? Does anything go to the cloud?
Nothing leaves your plant unless you explicitly want it to. The whole system sits inside your building behind your firewall. Your sensor data, your camera footage, your maintenance records — all stay on your server. No data uploaded to anyone's cloud. No outside parties can see it. We can run the system completely cut off from the internet if your security team requires it. This is one of the main reasons regulated industries pick us over cloud-only competitors.
If we start small with one plant, can we expand later?
Yes, very easily. Most customers start with the small entry brain on one or two plants, run it for a year, see the savings, then expand. When you expand, all your existing setup, history, and data carry over — nothing has to be redone. Upgrading from the small brain to the medium one usually takes a weekend. Upgrading to the enterprise rack takes a few weeks. The point is that starting small doesn't lock you out of growing big.
May 12 · 5:30 PM EST · Hands-On Hardware
Lock Your Spot. Hands-On Slots Are Limited.
Walk in to a working factory AI system. Watch it spot a breakdown two weeks early. See it catch a defect on a moving production line. Ask any question to the engineers who built it. Leave with a quote and an order date. Pilot to fully running in 6–12 weeks. You buy it once and own it forever — no monthly fees ever.
