1.2MW 210-Slot Integrated Hydro Cooling Container — 40HQ
Enterprise-grade platform, assembled and tested in the EU.
Overview
The same 1.2 MW capacity and 210 slots as the 20-foot unit, built into a 40-foot high-cube shell. The extra length buys service aisles, larger heat rejection plant and room to work inside the container rather than only at its face.
Serviceability is what separates a container that runs for five years from one that becomes unmaintainable after eighteen months. If the site has space for a 40-foot unit, the additional cost is small relative to what it saves in maintenance access — a point that applies whether the racks hold ASICs or GPU nodes.
Why teams choose it
- 1.2 MW, 210 slots — same capacity as the 20HQ, more room to work.
- Internal service aisles — maintenance from inside, not only at the face.
- Larger rejection plant — more thermal margin in hot climates.
- Fully integrated — cooling, power distribution and monitoring included.
Typical applications
- Long-life hydro mining installations
- AI clusters where maintenance access matters
- Hot-climate sites needing extra rejection margin
What you get from Kentino
Kentino supplies, configures and supports this hardware as part of a complete deployment: layout planning, coolant and power sizing, EU-based logistics and warranty. If you are pairing it with GPU servers rather than ASICs, our engineers will confirm compatibility and specify the loop before you order.
Lead time and freight are quoted per project. Contact us for a delivery estimate to your site.
The questions buyers ask us most often before ordering a server.
How long does it take?
Machines built from components we hold ship quickly; anything requiring a specific GPU generation depends on supply. We give you a date before you pay, and if it moves we tell you rather than letting you find out.
Can the configuration be changed before you build it?
Almost always. GPUs, memory, storage and cooling are chosen per order, and the listed configuration is a starting point rather than a fixed package. If you need more VRAM, faster storage or a different cooling approach, say so before you order and we will quote the change.
Can I collect the server in person?
You can. Our warehouse is in Prague, and collection in person is welcome — most people who come use the visit to go through the machine with our engineer and ask the questions that are awkward over email. For orders within the Czech Republic we also try to deliver personally and walk you through the setup on site.
Can I talk to someone who actually understands the workload?
Yes. We have an engineer who works on AI systems specifically, not a general sales desk. If your question is about batch sizes, quantisation, interconnect or where your bottleneck will be, ask it — that conversation usually changes the configuration for the better.
Which model can I run on this configuration?
Yes. Every machine is assembled, burn-in tested and benchmarked on real AI workloads before it ships, and it leaves us with an LLM already installed and running. You plug it in, connect it to your network and start work — the only decision left is which project it runs first.
How do you test a server before shipping?
We run it against actual AI workloads rather than synthetic scores: inference throughput, sustained load behaviour and thermals under continuous operation. You get the benchmark results with the machine, so the performance you were promised is the performance you can verify on day one.
Is the server ready to run when it arrives?
Yes. Every machine is assembled, burn-in tested and benchmarked on real AI workloads before it ships, and it leaves us with an LLM already installed and running. You plug it in, connect it to your network and start work — the only decision left is which project it runs first.
Ships from our EU warehouse. Heavy items may require freight arrangement — contact us for a shipping quote and lead time. 2-year limited warranty with advanced RMA support; extended warranty available.
Not exactly what you need?
Tell us your workload and we'll spec this platform around it — GPUs, memory, storage and cooling matched to what you actually run.