Concept of a dark 20-foot container on a concrete pad beside an industrial building at dusk. Not a photo of a built site.

Building a distributed datacenter for the future of AI.

Big datacenters are waiting years for permits and power. We containerize GPU capacity to run on excess power at thousands of small industrial sites around the world.

Join the waitlist Why a small site

What it is

Your property. Your power. Our box. Our GPU.

TWR sets a self-contained 20 ft container on a parking pad. Inside are up to 12 liquid-cooled NVIDIA HGX B300 servers, 8 GPUs each, 96 GPUs in all. Power and cooling stay in the box. No water needed. The building stays a building. You lease the pad and the power. We operate the servers.

What the property needs is spare 480 volt three-phase power, about 275 amps for a full box, a concrete pad, and a business fiber line of about 10 gigabits per second. A site with less power can run fewer servers in the same box. A licensed electrician makes the connection. You do not have to run the computers, and the site does not supply water.

20 ftSelf-contained container on a concrete pad beside the building.

96 GPUs12 liquid-cooled NVIDIA HGX B300 servers, 8 GPUs each.

480 V, 275 AThree-phase spare power for a full box. Fewer servers need less.

10 GbpsBusiness fiber to the pad.

Why

GPU capacity is waiting on sites that take years.

New hyperscale power, substations, and generation take years, so GPU capacity is stuck waiting on big sites.

A 20 ft self-contained container on an industrial parking pad is the way through. Each box holds up to 12 liquid-cooled NVIDIA HGX B300 servers, 96 GPUs. The property brings the pad, 480 V, and fiber. There is no site water. Many of those small sites run as one distributed compute cloud.

Time to get it

New transmission 5–15 yr
Grid queue to operation 5+ yr
Substation transformer 3+ yr

Demand vs the grid, 2025

Data-center electricity +17%
All electricity +3%

Published ranges, not a TWR forecast. New transmission is 5–15 years (IEA). US projects that reached operation in 2025 spent a median of over 5 years in the interconnection queue (Berkeley Lab). Substation transformers are quoted past 160 weeks (Wood Mackenzie, 2026). Data-center electricity use rose 17% in 2025, against 3% for global electricity (IEA). About 20% of planned data-center projects are at risk of delay if grid bottlenecks stay (IEA).

Liquid-cooled GPU server rack — Example liquid-cooled rack

Hardware

NVIDIA HGX B300, liquid cooled

8Blackwell Ultra GPUs
2.1 TBGPU memory
144 PFFP4 Tensor Core
72 PFFP8 Tensor Core
14.4 TB/sFifth-generation NVLink, total
1.6 TB/sNetworking, 8 × ConnectX-8 at up to 800 Gb/s
~14 kWPower per server (DGX B300)

Per server, from NVIDIA. The FP4 and FP8 figures include sparsity. Dense FP4 is 108 petaflops and dense FP8 is 36. The ConnectX-8 and power figures are from NVIDIA’s DGX B300 specs. Each server is liquid cooled and slides out on its own, so a tech can swap one without touching the rest. A full box holds 12 servers, 96 GPUs.

Who it’s for

Join the waitlist.

Property owner
You have industrial property with spare power and room for a pad. If the power is 480 volt three-phase with at least 275 amps to spare and fiber can reach the site, you lease the pad. TWR brings the box and runs it.
Investor
Be the first to know when a site is ready to talk about. Joining the list is interest only, not an offer.
GPU reservation
Capacity can be reserved for 1, 2, 3, or 4 years. A longer term has a lower hourly rate and a different share paid up front, and exact terms are shared with people on the waitlist.

Concept of the same container on a pad beside an older brick industrial building. Not a photo of a built site.

Waitlist

Property, investment, or a GPU reservation. We’ll follow up. Nothing here books a pad, takes capital, or reserves GPU capacity.