Autonomous Data Center Operations

The AI operations brain for GPU data centers

Predict cooling failures, eliminate energy waste, and generate the water compliance data that gets permits approved — across any hardware fleet.

$16–29B
DC liquid cooling market by 2030
$64B
US projects blocked over water/energy
30–55%
Cooling as % of DC energy
$380B+
Hyperscaler AI infra spend (2025)
The Problem
GPU density broke your operations playbook
AI training infrastructure creates risks that traditional tools can't see, predict, or coordinate around.
🌡

Thermal volatility

GPU-dense racks create thermal spikes that cascade across cooling zones. By the time you see the alert, training jobs are already throttling.

⚡

Capacity miscalculation

Adding GPU nodes without validating power headroom and cooling margin leads to failed installs, stranded hardware, and emergency rollbacks.

🧠

Blind ML teams

When infrastructure degrades, ML engineers see slow training but can't trace it to a rack. Facilities sees a hot rack but doesn't know which jobs are affected.

💧

Water is killing your permits

Large data centers consume up to 5 million gallons of water per day. $64 billion in US projects have been blocked by communities over water and energy concerns. ~80% of withdrawn water evaporates permanently.

Intelligence that operates at rack speed
Product Demo · 0:40
Capabilities
From sensor to training job — one intelligence layer
UpOnline DC connects physical infrastructure to compute workloads through a topology-aware reasoning engine.

Know which racks are at risk before they fail

Composite risk scoring across thermal, power, and load volatility for every GPU-dense rack. Time-to-hotspot prediction tells you exactly how long you have.

15–25% fewer thermal incidents
Real-time rack-level scoring
RACK RISK HEATMAP
A1
12
A2
34
A3
8
A4
15
B1
28
B2
32
B3
82
B4
61
C1
6
C2
18
C3
9
C4
14
Why UpOnline
The only platform that works across your entire fleet
NVIDIA will never optimize a facility to make AMD chips run cooler. We will.
NVIDIA Mission Control
NVIDIA GPUs only
Vertiv / Schneider
Own ecosystem hardware only
UpOnline DC
NVIDIA + AMD + Intel + Custom ASICs + Any CDU vendor

Leading hyperscalers and AI infrastructure operators run mixed GPU fleets — we're built for that reality.

Why Now
How waterless cooling becomes possible
The industry is transitioning from evaporative (water-hungry) to closed-loop (waterless) cooling. Closed-loop is harder to operate — it requires intelligent management.

Without UpOnline

  • Overcooling and water waste
  • Static capacity assumptions
  • Reactive incident response

With UpOnline

  • Right-sized cooling, zero water
  • Predictive pre-staging before workloads start
  • Real-time optimization to match GPU utilization
  • Pump degradation and coolant flow anomaly detection
How It Works
Deployed and delivering value in 30 days
A lightweight agent deploys in your VPC. No BMS replacement. No DCIM rip-and-replace. Intelligence from day one.
01

Deploy

Lightweight collector agent installs in your VPC in under a day

02

Configure

Map your rack layout, power chains, and cooling zones

03

Calibrate

Shadow mode baselines your environment for 2 weeks

04

Operate

Real-time risk intelligence, training impact, and change validation

Platform Vision
The compounding advantage
Software creates data, data improves predictions, predictions build trust — and trust enables the next phase.
Software
→
Identifies waste
→
Sells sensors
→
Data improves predictions
→
Trust enables automation
→
REPEAT
Built for Enterprise Infrastructure
Security-first by design
We never touch your control plane. Read-only intelligence that stays inside your network boundary.
🔒Deploys in your VPC
🛡SOC 2 Roadmap
👁Read-only by default
⚡30-day onboarding
📋Immutable audit log
🚫No PLC-level access
⚖Vendor-neutral by design — works with any GPU vendor, any CDU manufacturer
🔐Your data stays yours — customers own 100% raw telemetry
🛡Air-gap capable — edge appliance runs fully disconnected

Get early access to UpOnline DC

Design partners get priority onboarding, dedicated engineering support, and influence over the product roadmap — including features like Cooling Efficiency Score and WUE Tracker built to your specs. Proven ROI: $400–600/rack/month in cooling savings. Free pilot period with full platform access. Water compliance reports for permitting deliver immediate value even during the pilot.

✓No commitment required
✓Priority onboarding and dedicated engineering support
✓Influence product roadmap — Cooling Efficiency Score, WUE Tracker built to your specs
✓Proven ROI: $400–600/rack/month in cooling savings
✓Free pilot period with full platform access
✓Water compliance reports for permitting — immediate value during pilot