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 ~80% of withdrawn water evaporates permanently.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