XRT Power & CRX4 Liquid Cooling for AI | UPS Solutions
20+ years • 100,000+ UPS units supported • 24/7 support
A GPU Rack Is a Power Problem and a Heat Problem at Once
Both Sized Together, By the Same Team
A GPU rack draws more power and rejects more heat than anything a conventional server room was built around. Conventional air cooling runs out at roughly 40 kW a rack, and most current AI training platforms start above that, so on an accelerated computing build the cooling decision comes before the power decision and both have to be made against the same load figure.
This page lists every UPS Solutions platform rated for AI and high performance computing. XRT uninterruptible power from a 1.5 kVA rack unit to 2,080 kVA paralleled modular, CRX4 liquid cooling in rear door, direct to chip and immersion, the precision air cooling and heat rejection behind both, and the XRT-AI integrated nodes that arrive with all of it already installed and load tested.
Need GPU power and cooling scoped or costed?
- Free heat-load & electrical assessment
- Sizing against your accelerator platform
- Power & cooling under one scope
- Install, commission & 24/7 support
800 kW, containerised hall
50 kW, rear door
25 kW, air cooled
Start With Rack Density, Not Floor Area
Find the kW per rack you are actually deploying, then work across. Density decides the cooling architecture, the cooling architecture decides the rack layout and the water, and those together decide where the power has to land.
Inference and mixed workloads
Conventional precision cooling still does the job. A handful of accelerators in an otherwise normal server room.
- XRT6 or XRT-3PH UPS
- CRX4 in-row or CRAC, direct expansion
- Containment optional
High density air
Still air cooled, but only with the air path under control. Containment and close coupling stop being optional here.
- XRT-3PH or XRT-3PH-MOD UPS
- CRX4 in-row chilled water or fan wall
- Hot or cold aisle containment
First step into liquid
Rear door heat exchangers replace the cabinet door and remove the hot aisle entirely. No change to the racks or the room.
- XRT-AI R50-RDX node, or modular UPS
- CRX4-RDX rear door
- Retrofits into an existing row
Direct to chip or immersion
Coolant reaches the processor package. The only approach that scales with current and next generation accelerators.
- XRT-AI R90-DLC node or containerised hall
- CRX4-DLC cold plate, or CRX4-IMX immersion
- Facility water loop and heat rejection
Critical Power for GPU Racks
GPU load is spiky. A training run steps from near idle to full draw in seconds and back again, so the transient matters more than the average, and a UPS sized on nameplate average is how you end up tripping on a step load. Everything here is double conversion online, so the load never sees a transfer.
Monobloc three phase
10 to 200 kVA
A single fixed capacity unit. Simplest to specify and the lowest cost per kVA when the end state is already known.
- 3:3, 3:1 and 1:1 configurations
- Two bands, 10 to 40 kVA and 60 to 200 kVA
- External battery cabinets for longer autonomy
Best fitOne to a few GPU racks at conventional density, or the house load around a larger deployment.
Modular, hot swappable
520 kVA a cabinet, 2,080 kVA paralleled
Power modules slot into a frame. Capacity grows in module steps and redundancy is genuine N+X rather than a second whole machine.
- 10, 15, 20, 25, 30 and 40 kVA modules
- 96% efficiency, N+X parallel redundancy
- Up to four cabinets in parallel
Best fitA GPU hall with a staged ramp. Lose a module without losing the load.
Integrated node
25 kW to 800 kW IT load
Power and cooling arrive as one factory tested unit. Your team racks the GPU nodes and nothing else.
- Single rack, containerised hall or campus
- UPS, cooling, containment and monitoring inside
- Load tested before dispatch
Best fitSites that would rather commission one tested unit than integrate six suppliers on the floor.
Uninterruptible Power Technical Data
Every XRT platform rated for accelerated computing, from a single cabinet to a paralleled megawatt hall.
Swipe the table sideways to see all of it
| Range | Capacity | Architecture | Where it fits on a GPU build |
|---|---|---|---|
| XRT6 | 1.5, 3, 6 and 10 kVA | Single phase online, rack or tower | A single inference cabinet, a development box, or the network and management layer beside a larger cluster |
| XRT-3PH | 10 to 40 kVA | Three phase online monobloc, 3:3, 3:1 and 1:1 | One to two GPU racks at conventional density, or the house load around a bigger deployment |
| XRT-3PH | 60 to 200 kVA | Three phase online monobloc | A row of accelerator racks, or a single high density node needing headroom on transient |
| XRT-MTX Matrix | Modular, hot swappable | Three phase modular frame | Sites that want to start small and add modules as the cluster grows |
| XRT-MTX + S³ Li-Ion | 10 to 40 kVA | Modular with lithium iron storage | Space and weight constrained rooms, and sites wanting longer battery service life than VRLA |
| XRTM-3PH | 520 kVA a cabinet, 2,080 kVA across four | 10 to 40 kVA hot swappable modules, N+X, 96% efficiency | The workhorse for a GPU hall. Grow in module steps, lose a module without losing the load |
| XRT-3PH-MOD | 120 to 600 kVA | Three phase modular, scalable frame | Full hall protection where the end state is known but the ramp is staged |
| XRT-IND | Industrial range | Hardened for harsh environments | Edge inference in plant, mining and industrial settings rather than a conditioned hall |
Modular platforms grow in module increments, so day one capacity and the end state do not have to be the same number.
If You Would Rather Not Integrate It Yourself
XRT-AI is power and cooling delivered as one factory tested unit. Seven configurations, from a single 25 kW rack to an 800 kW containerised hall, each built, wired, charged and load tested before dispatch. Your team racks the GPU nodes.
Liquid or air cooling
Rear door, direct to chip, immersion or high density air to suit the node, with the coolant distribution, manifolds and fluid supplied and commissioned as one system.
UPS and batteries
From 30 kVA on a 25 kW rack node to 600 and 1,000 kVA modules on a containerised hall, sized and commissioned to the IT load.
Racks and distribution
IT racks, containment where the architecture needs it, rack PDUs and the full distribution path from incomer to rack.
Monitoring and DCIM
Touchscreen on board with a full sensor set, reporting over SNMP or Modbus into the platform your team already runs.
Access control
Three-in-one access control by PIN, card or fingerprint, with remote authorisation and surveillance options.
Fire protection
Early aspirating detection with clean agent suppression, and dedicated fire compartments separating battery energy from compute.
XRT-AI Technical Data
IT load, rack configuration, UPS capacity and cooling architecture for every node.
Swipe the table sideways to see all of it
| Model | IT load | Configuration | UPS | Cooling |
|---|---|---|---|---|
| R25-AIR | 25 kW | Single rack | 30 kVA | Air cooled |
| R50-RDX | 50 kW | Single rack | 65 kVA | Rear door heat exchanger |
| R90-DLC | 90 kW | Single rack | 120 kVA | Direct to chip liquid |
| C500-RDX | 500 kW | 10 racks at 50 kW | 600 to 1,000 kVA modules | Rear door heat exchanger |
| C800-DLC | 800 kW | 10 racks at 80 kW | 600 to 1,000 kVA modules | Direct to chip liquid |
| C400-IMX | 400 kW | 4 immersion tanks at 100 kW | 600 to 1,000 kVA modules | Immersion |
| C800-IMX | 800 kW | 8 immersion tanks at 100 kW | 600 to 1,000 kVA modules | Immersion |
Rack nodes are a single rack footprint rather than a container. Containerised halls are built on the XRT-CDC platform.
Scaling past a container to a full campus?
XRT-AI-F puts several pods on one site with compute, power and operations in separate modules. Every configuration, with its full technical data, is on the prefabricated AI page.
Cooling for GPU and AI Racks
Rear door, direct to chip and immersion are not competing alternatives so much as different points on the same density curve. Rear door retrofits into what you already own, direct to chip is where mainstream AI deployment has landed, and immersion goes furthest.
Rear door cooling
25.1 to 65.8 kW a rack
A heat exchanger replaces the rear door of the cabinet. Server fans push hot air through the coil and it leaves at room temperature, so there is no hot aisle at all.
- 31.2 to 65.8 kW on chilled water
- 25.1 kW self contained direct expansion
- Passive and active variants
Best fitAdding density to a room you already have. No change to the racks, the floor or the layout.
Direct to chip
100 kW rack CDU, to 2,020 kW a cabinet
Coolant delivered to cold plates sitting on the CPU and GPU packages, captured at source rather than after it has entered the room. The route rack-scale GPU platforms are designed around.
- Rack CDU, 100 kW in 4U
- Row CDU, 1,520 kW at ASHRAE W3 and 2,020 kW at W2
- Liquid to air CDU, 80 to 150 kW, no facility water needed
Best fitCurrent AI accelerator platforms, where the rack is well past what air can carry.
Immersion
24.5 to 400 kW a cabinet, to 2 MW
Servers submerged in dielectric fluid. Captures effectively all of the heat and removes server fans entirely.
- 100 kW on 35 °C water, 200 kW on 12.5 °C water
- Single phase and two phase tanks
- Immersion CDU and dry coolers
Best fitThe highest densities, and edge sites where air cooling is impractical.
Cold Plates Do Not Take All of It
Direct to chip captures roughly 70 to 80 percent of the heat at the processor. The other 20 to 30 percent still leaves the chassis as hot air, from memory, drives, network cards and power supplies. A hall running cold plate racks therefore needs liquid cooling and conventional precision cooling, not one instead of the other. Immersion is the exception, because the whole server sits in the fluid.
Sizing that remaining air load correctly is the difference between a cluster that holds its clocks and one that throttles, and it is the first thing we check on a design review.
Cooling Technical Data
Every CRX4 platform that touches a GPU deployment, and the heat rejection behind all of it.
Swipe the table sideways to see all of it
Why Choose UPS Solutions for GPU Power and Cooling
Australian owned critical power and cooling specialists. Very few suppliers here can quote the electrical and the mechanical on the same page, and fewer still install and maintain both afterwards.
Australian field team
Local technicians across Sydney, Melbourne, Brisbane, Perth, Adelaide and beyond. The people who commission your cluster are the people who come back to service it.
Power and cooling, one scope
One party sizes both sides against the same load figure and owns the interface between them, which is where high density projects usually come unstuck.
We design the whole loop
CDU sizing, manifolds, leak detection, facility water and heat rejection engineered as one system, rather than a CDU sold in isolation.
24/7 support after handover
Preventive maintenance, battery replacement, coolant and filtration service and emergency response across Australia, New Zealand and the Pacific Islands.
How a GPU Deployment Runs
Load and site review
Rack count, kW per rack, the accelerator platform you are deploying, available supply, and what the room can physically take.
Architecture and sizing
Cooling method chosen against density, power sized against transient, both drawn against the same load figure rather than a catalogue range.
Install and commission
Electrical and mechanical installed together, then tested as a system under load rather than piece by piece.
Monitor and maintain
Leak detection, thermal and power monitoring, planned maintenance and 24/7 support across both halves.

Send us the racks, the kW and the platform
Rack count, kW per rack, the accelerator platform you are deploying, and whether the site has the supply and the water. That is enough for us to recommend an architecture and put a configured price in front of you.
Already Running in Australia
An AI supercomputer we cooled and powered, in a room that started with none of the infrastructure it needed.
Western Sydney University
A brain-scale AI supercomputer in a room with no cooling
The site had no raised floor, no anti-static flooring and no existing cooling, so there was nothing to extend or reuse. We delivered it as a micro data centre with redundant power and precision cooling, sized against the heat the cluster actually produces rather than the area of the room.
- Two 40 kW CRX4 in-row units, close coupled to the row
- Continuous operation at 20 kW a rack under heavy computational load
- Redundant power and precision cooling delivered under one scope
Into a room you already have
Rear door cooling and close coupled in-row units add density without changing the racks, the floor or the layout. This is the Western Sydney pattern.
Into a container, where there is no room to use
XRT-CDC puts the whole facility in a sealed enclosure rated from -40 °C to +55 °C, for sites where a building is slow, expensive or simply not permitted. Containerised data centres →
As a prefabricated hall or campus
XRT-AI scales from a single 25 kW rack node to an 800 kW liquid cooled hall and on to a multi-pod campus. Prefabricated AI data centres →
GPU Power and Cooling FAQs
The questions we are asked most often when scoping power and cooling for accelerated computing.
At what rack density do I have to move to liquid cooling?
Conventional air cooling runs out at roughly 40 kW a rack, and that figure assumes the air path is properly contained. Below it, close coupled in-row cooling and containment will hold. Above it you are into rear door, and above roughly 65 kW into direct to chip or immersion. Most current AI training platforms land above the air limit, so on a GPU build liquid is the starting point rather than the upgrade.
Can I add GPU racks to my existing server room?
Often yes, and rear door cooling is why. A CRX4-RDX unit replaces the rear door of the cabinet and removes the heat before it reaches the room, so the racks, the floor and the room layout stay as they are. It handles 31.2 to 65.8 kW a rack on chilled water. The limits are usually the electrical supply and whether chilled water is available, which is what a site assessment establishes.
Why does a GPU rack need a different UPS to a normal server rack?
Load profile. A training run steps from near idle to full draw in seconds and back again, so the transient matters more than the average, and sizing on nameplate average is how a UPS ends up tripping on a step load. Double conversion online topology means the load never sees a transfer, and modular platforms such as XRTM-3PH let you hold genuine N+X redundancy while still adding capacity in module increments as the cluster grows.
Do I still need air conditioning if I go direct to chip?
Yes. Cold plates capture roughly 70 to 80 percent of the heat at the processor. The rest still leaves the chassis as hot air, from memory, drives, network cards and power supplies. A cold plate hall needs both a liquid loop and conventional precision cooling. Immersion is the exception, because the whole server sits in the fluid.
How much power does a GPU rack actually draw?
It depends on the accelerator platform and how densely the rack is populated, which is why we size against your specific configuration rather than a rule of thumb. What is consistent is the shape of the load rather than its size: a high peak to average ratio, fast steps, and a sustained draw during training that a general purpose server room was never designed around.
How do I size the UPS for a GPU cluster?
Start from the measured or specified draw of the accelerator platform at full load, not from the rack nameplate, then add the network, storage and management load that shares the protected bus. Cooling normally sits upstream of the UPS so it does not consume battery autonomy. From there the decision is redundancy target and autonomy, because those set whether you are buying one monobloc, a modular frame with N+X, or a 2N pair. Send us the numbers and we will do the sizing.
What is the fastest route to a working AI deployment?
A prefabricated node. XRT-AI arrives with the UPS, distribution, cooling, containment, fire suppression and monitoring already installed and load tested in the factory, from a single 25 kW rack up to an 800 kW containerised hall. You are commissioning a tested unit on site rather than integrating six suppliers on site.
Can you retrofit liquid cooling without shutting the room down?
Rear door is the low disruption route and is normally done cabinet by cabinet, because the unit replaces the rear door and nothing else about the rack or the room changes. Direct to chip and immersion are larger pieces of work because they involve a facility water loop. The sequencing is set at design stage against your maintenance windows.
What redundancy should a GPU hall have?
It depends on what a stopped training run costs you. Modular UPS platforms give N+X on the power side by adding a module rather than a second machine, and cooling redundancy is set the same way, by unit count rather than by oversizing one machine. On liquid systems the CDU and the facility loop need their own redundancy thinking, because a single distribution unit serving a whole aisle is a single point of failure whatever the UPS looks like.
Can the heat be reused?
Liquid systems make it far more practical than air, because the return water is warm and concentrated rather than spread through a room. Whether it is worth capturing depends on having somewhere to put it, which in practice means an adjacent building with a genuine heating demand. It is worth raising at design stage rather than after the loop is built, because it changes the water temperatures you design around.
Can we start small and scale later?
Yes, and it is worth planning for at the start. Modular UPS grows in module increments inside a frame that was sized for the end state, cooling scales by adding units to the row, and prefabricated nodes add capacity a container at a time. The thing that is expensive to retrofit is the facility water and the electrical supply, so those get sized for where you are going rather than where you are starting.
Do you supply the power and the cooling together?
That is the normal way we work. The same team assesses the heat load, sizes the electrical and the mechanical against each other, installs, commissions and maintains both. On high density builds the interface between power and cooling is where problems concentrate, so having one party accountable for it removes a common failure point.