Deploy 10–100 kW of GPU infrastructure in a real data center — without a megawatt commit, a multi-year campus deal, or a ticket queue on another coast.
For AI startups, enterprises, inference teams and growing GPU clusters that need serious power and cooling — and are too small for hyperscale sales to care.
The AI Colocation Gap
Large AI campuses are built for hundred-kilowatt and megawatt training halls. A 16-GPU inference cluster does not get a serious quote there — and a standard colo cabinet cannot cool it.
That band is the product. Netsonic colocates owned GPU hardware in a professionally operated Midwest data center: high-amp power, GPU-ready cooling, carrier-neutral fiber, and people who will walk to the rack.
Rough planning numbers — we quote from your actual nameplate draw.
Why this exists
If you own the GPUs and draw tens of kilowatts — not hundreds — most of the market is aimed at someone else.
| Hyperscale AI colo | Cloud GPU rental | Netsonic 10–100 kW | |
|---|---|---|---|
| Who they want | 500 kW–MW halls | Burst / variable jobs | Owned clusters in the 10–100 kW band |
| Minimums | Often MW-scale / multi-year | None — you just keep paying | Start near 10 kW |
| Hardware | Yours, if they take you | Theirs, by the hour | Your GPUs, your software stack |
| Cost shape | Designed for campus deals | High when boxes run 24/7 | Power + space + hands, quoted to the draw |
| Support | Account team, then a queue | No one at a rack | Local 24/7 techs in Green Bay |
| Data residency | Wherever the campus is | Provider region | Wisconsin — your hardware, your facility |
Start Where You Are
Start with the power you run today. Add circuits, racks and cooling as the fleet grows — without changing buildings.
~1–3 dense GPU servers
The practical exit from cloud GPU rental for a first owned rack — development, light inference, or a pilot that has to stay on.
~3–6 dense GPU servers
Always-on inference, fine-tuning and private model serving — the size hyperscale colo usually will not staff a conversation for.
Multi-rack GPU row
Dedicated space for a fleet that is past a single rack and not yet a megawatt hall. Custom power and cooling plan included.
Need more than 100 kW? We will still talk — that is a planning conversation, not a “call a campus.”
Own Your Infrastructure
Cloud GPUs are the right tool for spikes and experiments. Once inference or training is continuous, the meter is the product. Buy the hardware, colocate the draw, keep the weights and the network under your control.
Send us current cloud spend and GPU count →Built for high-density computing
AI boxes pull unusual amperage and dump unusual heat. Netsonic has run high-power, high-heat computing in this building for years — including dense ASIC environments — so 10–60+ kW racks are an operating practice, not a slide in a pitch deck.
2 MW is headroom so a 40 kW cluster is routine — it is not the minimum order.
GPU-ready positions — not leftover 5 kW cabinets — are what we reserve.
Why Netsonic
Colocation Since 1996. Veteran-owned. Local technicians — not a national remote-hands marketplace.
We operate our own facility. Power, cooling and access policies are not a landlord’s problem passed through a ticket.
Years of dense, high-amp computing — including ASIC hosting — is why 10–60 kW racks are an engineered product, not an exception request.
UPS, diesel generation, TVSS and N+1 cooling. Midwest weather is a design input, not a surprise.
Wisconsin power and a facility that will quote 25 kW this quarter — not after an 18-month hyperscale waitlist.
On-site technicians for rack-and-stack, break/fix, remote hands and the unglamorous work that keeps a GPU row online.
Land at 10–25 kW. Add circuits and adjacent racks through 100 kW+ in the same building.
Simple deployment
Send GPU model, server count and expected draw. We size power, space, cooling and interconnect — then you ship the boxes.
GPU model, node count, PDU draw, timeline.
Circuits, rack units, air vs liquid, east-west network.
GPU-ready positions — power and cooling, not leftover U-space.
Ship in. We rack, power, connect and hand you the lights-out environment.
Add the next chassis in the same row instead of starting over.
How we price it
There is no public rate card because power density, liquid vs air, and interconnect change the number. The shape of the deal is simple.
A 10–100 kW GPU deployment is priced around committed kilowatts, rack footprint, cooling method and ports — with remote hands included as an operating facility, not an à-la-carte surprise.
Expect a custom quote, not a $99 cabinet. Expect it in days, not a two-quarter enterprise cycle.
Include GPU model, node count and target kW. We will confirm whether the cooling and circuit positions exist for that draw.
1U–full cabinet workloads that do not need GPU-density power and cooling. If you are under ~5 kW, start here.
View Standard Colocation →The high-amp, high-heat practice that made 20–60 kW racks operational long before GPU colo became a category.
View ASIC Hosting →10–100 kW of owned GPU infrastructure in Green Bay — real power, real cooling, real people on the floor.
Get My AI Colocation Quote →920-432-0360 · [email protected]
