Own your GPU servers. Colocate them in Grant County, WA — where Columbia River hydro power from Grant County PUD makes electricity costs 40–60% lower than Seattle. Same 10–20ms latency. No egress fees. Owner-operated facility with real people on the phone.
GPU colocation in Washington state isn't hypothetical for us. We have a paying customer running dedicated GPU hardware right now.
Our first GPU colocation customer colocates a dedicated GPU server cluster at our Quincy facility on a 5kW dedicated power circuit, 24-month term. The deployment runs continuously on Columbia River hydro power with unmetered Grant County PUD fiber connectivity and no egress fees.
This customer evaluated Seattle-area colocation options before choosing Quincy. The decision came down to power cost and flexibility: the same 5kW deployment in a Seattle facility would cost roughly 2–2.5× more per month. Grant County PUD hydro power changes the economics of running GPU hardware around the clock.
A single 8-GPU server draws 3–6kW continuously. At that power density, where you plug in matters more than almost any other infrastructure decision.
Grant County PUD delivers Columbia River hydroelectric power — consistently among the cheapest commercial electricity rates in the US. Microsoft, Amazon, and Google all built in Quincy for the same reason. You get the same power advantage at a fraction of hyperscaler scale.
10–20ms latency from Quincy to Seattle on Grant County PUD fiber. Sufficient for AI inference serving, model APIs, and remote management. Unmetered bandwidth — no egress fees, no per-GB billing. Your data transfer costs go to zero.
Call the owner at 509-906-1250. Unusual power configurations, non-standard circuits, custom cooling requirements — we work these out directly, not through a ticket queue. If it's physically feasible, we'll figure it out with you.
Running LLM inference, image generation, or ML model APIs 24/7? Power cost at full utilization dominates your TCO. Colocate your inference hardware in Grant County and your per-request cost drops dramatically versus Seattle or cloud GPU instances. Month-to-month or term options available.
Training runs that go days or weeks hit full power draw the entire time. That's exactly when cheap power matters most. Colocate your training cluster — GPU servers, NVMe storage, and InfiniBand interconnects — in a facility that doesn't penalize you for running hot and heavy around the clock.
Visual effects, 3D rendering, and compute rendering workloads are power-hungry and latency-tolerant. Grant County is ideal: cheap power, fast fiber to Seattle, no egress fees on your render output. Custom rack configurations for high-density GPU arrays available.
GPU-based proof-of-work workloads are pure power arbitrage. Grant County PUD hydro power is among the best available in the Pacific Northwest for power-sensitive GPU operations. We also host ASIC mining — see our crypto mining page for more detail.
For GPU workloads specifically, the comparison isn't close. Here's what to expect:
| Factor | Columbia Colocation (Quincy, WA) | Typical Seattle-Area Colo |
|---|---|---|
| Power rate (5kW GPU) | $200–225/kW/mo all-in | $400–600+/kW/mo typical |
| Monthly cost (5kW example) | ~$1,000–$1,125/mo | ~$2,000–$3,000+/mo |
| Egress / bandwidth fees | $0 — unmetered included | $0.05–$0.10+/GB common |
| Latency to Seattle | 10–20ms | <5ms |
| 3-phase power for GPU | Available (208V 3-phase) | Available at most facilities |
| Custom circuit configs | Yes — call the owner directly | Yes, but through procurement |
| Minimum term | Month-to-month available | Often 12-month minimum |
| Who answers the phone | The owner | Sales / support team |
Seattle-area facility rates are estimates based on publicly available information. Actual rates vary by facility and configuration.
No separate power metering, no egress fees, no hidden line items. One rate covers power, rack space, and unmetered Grant County PUD fiber.
GPU deployments vary widely. Tell us your GPU models, server count, estimated power draw, and timeline — we'll give you a real number fast.
Get a Custom GPU Quote →GPU model, server count, estimated power draw, cooling requirements, timeline — the more you tell us, the faster we can give you a real number. No sales scripts, no runaround. You're talking to the people who run the facility.
Our first GPU colocation customer went from inquiry to signed agreement in under a week. That's how we operate.