High-Density / GPU / AI / HPC Colocation Pricing from our providers (LA – ballpark ranges)
| Deployment type (keywords) | Typical usable power | Typical fit | LA ballpark pricing |
| High density colocation cabinet | 8–12 kW | dense compute / storage | $145–$240 per kW/mo |
| GPU colocation (inference rack) | 12–20 kW | GPU inference, analytics | $160–$280 per kW/mo |
| AI / HPC colocation (“hot rack”) | 20–30+ kW | HPC, AI training pods (small) | $200–$340+ per kW/mo |
| Small GPU row (2–6 racks) | 60–150 kW total | higher-power retail | custom quote |
*Prices from our providers change every week. Request a quote to get accurate prices. We’ll tell you honestly if LA makes sense or if another region improves TCO without hurting latency.
*If a provider can’t clearly define usable kW, cooling class, and how A/B impacts capacity, the quote isn’t comparable.
**Your real monthly bill will be higher than the base quote (here’s why)
A sales quote often focuses on cabinet + power. Your actual bill changes when you add connectivity and operational reality.
Example: 20kW GPU rack (high density / AI inference)
Base power: 20 kW × $240/kW = $4,800/mo
High-density cooling class / delivery differences: often changes the $/kW band
Network (10G vs 1G, billing model): often adds $900–$2,500+/mo
Cross-connects are usually higher than you expect if you’re building redundant paths
Realistic total: $6,500–$9,500+/mo in many LA setups.
This is why buyers use brokers: we normalize quotes to all-in monthly cost, not just the base $/kW






















