1.7MW 308-Slot Hydro Cooling Container — 40HQ Turnkey
Enterprise-grade platform, assembled and tested in the EU.
Overview
The largest single container in the range: 308 slots and 1.7 MW in a 40-foot high-cube shell, with cooling, power distribution and monitoring built in and commissioned before delivery.
At 1.7 MW a single container carries what used to require a small building. Deployed in multiples it is how megawatt-scale sites now get built — each unit is an identical, tested block of capacity, which makes both the schedule and the cost predictable in a way that construction never is. The model works the same for a mining farm and for an AI training cluster.
Why teams choose it
- 1.7 MW, 308 slots — the largest single container we supply.
- Deployed in multiples — megawatt-scale sites built from identical blocks.
- Predictable cost and schedule — tested capacity instead of construction risk.
- Fully integrated — cooling, power and monitoring commissioned before delivery.
Typical applications
- Megawatt-scale hydro mining farms
- Large AI training clusters built in repeatable blocks
- Operators scaling capacity against a fixed timeline
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.