Power
Contracted Hydro Power
Dedicated GPU Inference · No Spot Preemption · Pacific Northwest · Available Now
Dedicated GPU Inference.
No Hyperscaler Lock-In.
Okanogan DC operates dedicated NVIDIA GeForce RTX GPU clusters at the OKDC data center in Washington State, built to Tier III standards. Fixed-price multi-year contracts — hardware reserved exclusively for your workloads, no spot preemption, no shared GPU memory — on contracted Pacific Northwest hydro power. Built for AI teams that have outgrown spot marketplaces.
Facility operational · accepting new customer inquiries
Hardware
NVIDIA GeForce RTX
Contracts
Multi-Year Terms
Independence
Vendor-Neutral Stack
Built for production AI workloads.
Operational infrastructure built to Tier III standards, not a greenfield project. Power is live, cooling is in place, connectivity is ready.
5+ MW
Utility Capacity
Contracted Pacific Northwest hydro power — 200 kW deployed today, 5+ MW utility service available for expansion
1–5yr
Contract Terms
Fixed pricing, no rate hikes mid-term — plan your GPU budget years out
<1.4
PUE Target
Natural Pacific Northwest climate-assisted cooling
100%
Dedicated
No shared tenancy, no preemption — your hardware, your capacity
Your AI workloads deserve better than spot instances.
Spot GPU marketplaces trade on convenience. For teams running production inference or sustained fine-tuning, that convenience comes with a real cost: preemption, pricing volatility, and no guarantee your capacity will be there tomorrow.
The Spot Marketplace Problem
What AI and ML teams on spot marketplaces deal with
- Spot preemption — jobs evicted mid-run when hosts reprice or leave the marketplace
- Shared GPU memory and noisy neighbors degrade inference throughput without warning
- Variable pricing with no floor — monthly spend shifts with marketplace demand
- No uptime commitment — marketplace operators can exit, reprice, or go offline without notice
- Hardware shared across unknown tenants — no isolation, no audit trail
- Support through ticketing systems, not direct access to infrastructure engineers
The Okanogan DC Approach
What we offer AI startup and ML teams
- Dedicated hardware reserved exclusively for your workloads — no shared GPU memory, no eviction
- Multi-year contracts with fixed, transparent pricing
- Bring your own stack — we don't dictate your software layer
- Predictable TCO — fixed contract rate, no egress surprises, no mid-term repricing
- Single-tenant facility built to Tier III standards — full hardware isolation, no unknown co-tenants
- Direct access to our infrastructure and network team
Infrastructure built for AI workloads.
The OKDC campus, built to Tier III standards, combines contracted Pacific Northwest hydro power, natural climate-assisted cooling, and dedicated single-tenant GPU infrastructure — a combination no spot marketplace or repurposed-warehouse operator can match.
Hydro-Backed Power
Contracted Pacific Northwest hydro. Washington industrial power averaged 7.06 cents per kWh against a US average of 8.83, year to date through May 2026 (EIA). 200 kW deployed today; utility partnership enables expansion to 5+ MW as customer demand grows.
Natural Cooling
North-central Washington climate enables free-air and evaporative cooling for the majority of the year, lowering PUE and operating costs without complex chiller infrastructure.
Regional Connectivity
Fiber connectivity with path to Seattle and Pacific Northwest peering points. Suitable for latency-tolerant inference and batch workloads with West Coast reach.
Data Sovereignty
Operated under dual jurisdiction of Okanogan County and the Colville Confederated Tribes — a uniquely sovereign-adjacent data residency position outside hyperscaler regions.
Dedicated Racks
Your NVIDIA GeForce RTX clusters in caged, single-tenant colocation space. No shared GPU memory, no noisy neighbor interference, no co-tenants. Full remote hands and out-of-band access included.
Industrial-Zoned Site
Riverfront campus on industrial land with existing building pads and power infrastructure. Rapid expansion path when your capacity requirements grow.
What runs here.
Okanogan DC is optimized for sustained, GPU-intensive AI workloads. Ideal for teams that have outgrown cloud-native pricing but aren't ready to build their own facility.
LLM Inference
Model Fine-Tuning
RAG Pipelines
Batch Embeddings
HPC / Simulation
AI Video / Rendering
Vector DB Hosting
Private Model Hosting
Training Runs
How we compare.
For AI teams running sustained workloads, a dedicated single-tenant contract beats on-demand pricing well before you reach 24/7, and carries far lower operational risk than standing up your own facility. The pricing section below does the arithmetic against current Vast.ai and RunPod rates so you can check it yourself.
| Dimension | Okanogan DC | Spot Marketplace | Build Your Own |
|---|---|---|---|
| Pricing model | Fixed contract | Variable / spot pricing | CapEx + variable OpEx |
| Hardware isolation | Single-tenant, dedicated | Shared / multi-tenant | Single-tenant (you own it) |
| Preemption risk | None — contracted capacity | High — eviction without notice | None (your hardware) |
| Facility tier | Built to Tier III standards | Varies — often unrated | Typically co-lo or cage |
| Power cost | Contracted PNW hydro | Embedded in spot rate | Location-dependent |
| Support access | Direct engineering team | Community / ticketed | Self-managed |
What it costs, against what you pay now.
Set your usage and check the arithmetic. Our rate is a band because term length and volume move it; the ends of the band are real, not decoration.
730 hours is a GPU running continuously all month.
| Where you run it | Rate | Your monthly cost |
|---|---|---|
| Okanogan DC (contract) | $200–$300/GPU-month | $200–$300 |
| Vast.ai (marketplace median) | $0.36/GPU-hour | $263 |
| RunPod (on-demand list) | $0.69/GPU-hour | $504 |
Where the lines cross
Against Vast.ai (marketplace median), a contract at the low end of our band costs less above about 556 GPU-hours a month. At the high end it never overtakes that rate, even at 24/7, so at the top of our band you are buying capacity that is reliably there rather than a lower price.
Against RunPod (on-demand list), a contract costs less above about 290 to 435 GPU-hours a month.
None of this prices preemption. A job evicted at hour nine of a twelve hour fine-tune costs the nine hours plus the restart, and that cost lands on the marketplace column only.
We compare against Vast.ai's median rather than its cheapest listing. The cheapest listing is one unproven host at one moment, not a machine you would run production inference on.
Competitor rates read 2026-08-10 fromvast.ai/pricing,runpod.io/pricing.
Ready for GPU capacity you can actually count on?
We're onboarding a limited number of initial customers. Capacity is finite — reserve yours.
From inquiry to live workloads in weeks.
Our process is designed for AI and ML teams — no lengthy RFP cycles, no enterprise sales theater. You talk to engineers, not account reps.
1
Submit Inquiry
Tell us your workload type, GPU requirements, and rough timeline. Takes two minutes.
2
Capacity Review
We confirm available rack space, power allocation, and hardware options for your workload.
3
Contract & Pricing
Fixed-price multi-year agreement — your rate locked for the contract term. No mid-term repricing, no forced migrations, no surprise fees.
4
Go Live
Hardware provisioned, network configured, remote hands on standby. Workloads running.
Location & Infrastructure.
North-central Washington State — outside the congested I-5 corridor, on the Pacific Northwest hydro grid, with room to grow.
Climate Advantage
Annual average temperatures well below the national data center norm. Free-air cooling reduces mechanical cooling load vs. Southwest or Southeast facilities.
Hydro Power Grid
Pacific Northwest hydroelectric resources provide low-cost, low-carbon baseload power — a structural cost advantage over diesel or gas-backed facilities.
Expansion Capacity
Industrial-zoned riverfront site with additional land and building pads for phased expansion as customer demand grows.
Let's talk about your AI compute requirements.
Multi-year contracts, dedicated hardware, no preemption, Pacific Northwest hydro. No lock-in, no surprises.