AI/HPC Data Centers

The Operations Platform Purpose-Built for AI/HPC Data Centers

Liquid cooling, accelerated AI/HPC buildouts, and rising rack power densities demand more than legacy CMMS or DCIM. MCIM unifies asset intelligence, guided execution, and real-time coordination so operators can maintain uptime under the most demanding conditions.

Trusted by world leaders in critical infrastructure

Total capacity managed on the MCIM platform
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Of top colocation providers run on MCIM
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Assets
 
0 M+
Platform uptime across all deployments
0 %
ARK Data Centers

The Challenge

AI/HPC Workloads Are Redefining Operational Rules

Liquid cooling, accelerated AI/HPC buildouts, and rising rack power densities demand more than legacy CMMS or DCIM. MCIM unifies asset intelligence, guided execution, and real-time coordination so operators can maintain uptime under the most demanding conditions.

Escalating thermal loads

GPU clusters push 50–100+ kW per rack, requiring tighter monitoring and faster response.

Fragmented systems

Generic software, spreadsheets, and site-specific tools create blind spots when seconds matter.

Rapid scaling pressure

Adding 20 MW every few weeks leaves no room for manual processes or tribal knowledge.

No standardized execution

Non-standard MOPs/SOPs create silent degradation and compliance risk.

Liquid Cooling Operations

Liquid Cooling Solves Heat. It Also Introduces New Failure Modes.

Direct-to-chip cooling, coolant chemistry, leak detection, and vendor variation create operational complexity that legacy CMMS platforms were never designed to handle.

MCIM connects real-world readings to repeatable workflows so liquid cooling is managed like mission-critical infrastructure, not a side project.

MCIM-Feature-graphics

Why Operators Choose MCIM for AI/HPC

Why mission-critical facilities choose MCIM

Make Every Center Stronger.

No Silos

One operational system

One operational system for assets, procedures, incidents, and planning. No more stitching together generic software, spreadsheets, and site tools.

No Blind Spots

Clean, first-party data

Clean, first-party data with real-time analytics that surface thermal drift, procedural gaps, and early warning signals.

No Going at It Alone

A partner dedicated to your operations

A partner dedicated to AI/HPC operations with white-glove implementation and operator-first onboarding.

Platform Capabilities

The Operational System Purpose-Built for AI/HPC

Engineered specifically for managing mission-critical data center infrastructure.

Guided Execution
MOP #DC-047IN PROGRESS

CDU Coolant Line Replacement — Rack G-12

Isolate coolant supply valve
Verify zero pressure on gauge
Disconnect inlet fitting — capture fluidActive
Install new line, torque to 12 Nm
Restore flow, inspect for leaks 5 min
TechnicianJ. Torres
Versionv3.2
Progress2 / 5
Incident Management
INC-2024-0841INVESTIGATING

Thermal Excursion — Zone B Row 4

14:02Alert triggered — Rack B-04 temp 94°C
14:04Assigned — R. Patel notified via mobile
14:09On site — CDU flow rate confirmed low
14:17Action taken — Manual override, flow restored
NowRoot cause analysis in progress…
MTTR15 min
Assets3 linked
Evidence4 files
Rounds Monitoring
ROUND R-14LIVE

Zone A Thermal Walkdown — Shift 2

A-01
68°C
A-02
71°C
A-03
89°C
A-04
66°C
A-05
70°C
A-06
96°C
A-06 exceeds threshold — flag created automatically
Scanned6 / 24
Flags2 open
TechnicianM. Chen
Asset Management
CDU-G-12OPERATIONAL

Coolant Distribution Unit — Building G Row 12

Make / ModelAiredale / CoolFlex 80
Install DateMar 14, 2024
Cooling Capacity80 kW
Last PMNov 2, 2024
Next PM DueFeb 2, 2025 — 12 days
Dependent Assets
Rack G-10Rack G-11Rack G-12Pump P-04
Open WOs2
Incidents1 this month
HealthGood
Capital Planning
FY2025 PLANQ1 REVIEW

Liquid Cooling Retrofit — Phase 2

CDU Replacements$2.4M
Pipe Infrastructure$1.7M
Controls Upgrade$980K
Commissioning$540K
Total Budget$5.6M
Committed$4.1M
Timeline18 months
Executive Reporting
EXECUTIVE VIEWLIVE

Operations Health — All Sites

98.7%
Uptime
94%
PM Compliance
3
Open P1s
12 min
Avg MTTR
Site A — Southwest200 MWNominal
Site B — South Central180 MWNominal
Site C — Southeast160 MW1 Alert
Site D — Pacific NW160 MWNominal

Customer Case Study

From Crypto to 700 MW of AI/HPC.

A leading infrastructure operator needed to transition from crypto mining to enterprise-grade AI/HPC operations while deploying 20 MW every three weeks. With no central CMMS and data scattered across generic software and spreadsheets, they needed an operational system built for AI/HPC, not a retrofitted tool.

“Out of the box, this looks like it would have every single piece of functionality we would almost want from a system like this. This would end up ultimately replacing all of that and bringing everything into one system.”

VP of Operations, MCIM Customer

MCIM replaced fragmented tools with one operational system and scaled across four sites without re-implementation.

Single pane of glass

Replaced generic software and site-specific tools with one unified platform for exec reporting and team collaboration.

White-glove implementation

MCIM digitized MOPs/SOPs and cleaned asset data, saving weeks of work for the operations team.

Scalable site rollout

Started at 8 MW at a single site, then expanded to four locations with no re-implementation required.

Crypto to AI/HPC Transition

Moving from Crypto to AI/HPC? Operational readiness will fuel your transition.

Power and uptime discipline transfers, but AI/HPC demands tighter procedures, denser deployments, and new cooling workflows. MCIM gets you there faster.

Clean Asset Baseline

Standardized asset inventory across all sites, the nucleus of every operational decision.

Digitize Procedures

Version-controlled digital MOPs/SOPs ready for liquid-cooled environments.

Standardize Rounds

Structured monitoring optimized for high-density rack monitoring and thermal drift detection.

Plan Upgrades

Use lifecycle data and capital planning to sequence retrofits without sacrificing uptime.

AI Has Changed the Physics of the Data Center.

When a single rack carries $3.5M in GPU assets and runs 24/7, your old operating model is the risk. This guide was written for the teams responsible for keeping those systems up and performing.

This guide covers

  • Liquid cooling modality comparison
  • 5-level operational maturity model
  • 6-stage commissioning framework
  • Operational risk register and mitigations
  • Sustainability benchmarks: PUE, WUE, carbon
Thermal Density
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Energy Savings
0 %
PUE Achievable
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Per-GPU TDP
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Make AI/HPC Operations Repeatable, Auditable, and Scalable.

Unify asset intelligence, standardize execution, and reduce thermal and maintenance risk as you scale density.