AI factories are the most thermally demanding facilities ever built. Titan enables the thermal backbone — where uptime, precision, and scalability are non‑negotiable.
AI factories represent a fundamental shift in how digital infrastructure is designed, built, and operated. Unlike traditional data centers optimized for steady-state workloads, AI factories are engineered for extreme, rapidly fluctuating computational loads driven by GPU- and accelerator-dense environments.
These facilities pack 10–30x the heat density into the same physical footprint. When a single rack generates over 100 kW of heat, air cooling isn't an option — liquid cooling becomes the only viable path.
| Specification | Traditional Data Center | AI Factory |
|---|---|---|
| Rack Power Density | 3 ~ 12 kW per rack | 40 ~ 100+ kW per rack |
| Primary Cooling | Air-cooled (CRAC/CRAH) | Direct-to-chip liquid cooling |
| Heat Rejection | Moderate — steady-state loads | Extreme — dynamic, spiking loads |
| Cooling Water Volume | Standard chiller plant | Massive — millions of gallons/day |
| Typical Pipe Sizes | 4" ~ 12" | Up to 24" ~ 48" on condenser mains |
| Filtration Sensitivity | Standard debris protection | Critical — microchannels clog at 50 µm |
| Downtime Cost | ~$5,000 ~ $10,000/hr | $25,000 ~ $100,000+/hr (GPU compute) |
| Cooling System Role | Supporting infrastructure | Mission-critical — enables computation |
| Redundancy | N+1 typical | N+1 or 2N across all fluid systems |
| Code Requirements | Standard mechanical codes | Mechanical + UL-listed fire + NSF potable |
Five critical cooling subsystems that are vital to maintaining optimal performance. In this environment, flow control failures interrupt computation, threaten hardware, and erode reliability.
Produces water at 40–55°F to remove heat from equipment and maintain optimal operating temperatures. Properly designed loops maximize cooling efficiency while minimizing energy consumption.
This is what separates an AI factory from a traditional data center. Direct-to-chip cooling for GPU racks where particles as small as 50 microns can disrupt flow through cold plate microchannels.
The largest pipe sizes and dirtiest water in the facility. Cooling tower water picks up airborne debris, biological growth, and mineral scale — all of which must be captured before reaching condenser tubes.
Non-negotiable and code-mandated. With billions of dollars in GPU hardware and 100 kW per rack fire risk, all components must be UL-listed and NFPA-compliant. This is an independent piping system.
A large AI factory can consume millions of gallons of water per day through cooling tower evaporation. Both makeup and potable systems require NSF-certified components to meet health and safety codes.
Built for the pace AI factories demand — where every week of delay is millions in unrealized compute revenue.
AI factories don't follow traditional construction timelines. Hyperscalers are racing to bring GPU capacity online — often targeting 12–18 months from groundbreaking to first workload. Every week of delay is millions of dollars in unrealized compute revenue.
Piping systems that once had months to install, weld, cure, and inspect now have weeks. Titan's product lines are engineered for rapid mechanical installation — reducing labor hours, eliminating hot work, and keeping AI factory construction on schedule.
GPU compute capacity is valued at $50K–$100K+ per hour. Every week of delay represents $8M–$17M in unrealized compute revenue. Installation methods that shave days off the piping schedule have an outsized impact on project ROI.
Connections can be disassembled and repositioned when the design changes. No hot work. No cool-down time. No X-ray inspection.
Ideal for makeup water, potable water, and secondary distribution lines where speed and code compliance must coexist.
Catch construction debris — weld slag, pipe scale, sealant — during initial system flush. Fast to install. Fast to remove.
Every subsystem in an AI factory depends on fluid moving where it should, when it should — and nowhere else. Titan delivers that certainty across all five critical cooling subsystems, from chilled water mains carrying thousands of GPM to rack-level microchannels where a 50-micron particle can shut down a GPU node.
Our strainers, check valves, butterfly valves, and specialty products are engineered for the conditions AI factories actually create: extreme thermal cycling, 24/7 continuous duty, rapid load swings, and zero tolerance for unplanned downtime.
Every Titan product installed in an AI factory is one less variable an operations team has to worry about.
The flow control decisions made during this design phase will define uptime, scalability, and operational confidence for the next decade. Whether you're specifying components for a new build, retrofitting an existing facility for liquid cooling, or evaluating suppliers for a multi-campus deployment — we're ready to engineer a solution.