High-Density / GPU / AI / HPC Colocation Pricing from our providers (Silicon Valley – ballpark ranges)
| Deployment type (keywords) | Typical usable power | Typical fit | Silicon Valley ballpark pricing |
| High density colocation cabinet | 8-12 kW | dense compute / storage | $145-$255 per kW/mo |
| GPU colocation (inference rack) | 12-20 kW | GPU inference, analytics | $165-$295 per kW/mo |
| AI / HPC colocation (“hot rack”) | 20-30+ kW | HPC, AI training pods (small) | $210-$355+ 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. In Silicon Valley, the real question is not just the rack price – it is whether the ecosystem premium is justified for your workload.
*If a provider cannot define usable kW, cooling class, and how A/B power changes capacity, the quote is not truly comparable.
**Your real monthly bill will be higher than the base quote (here’s why) In this market, cloud on-ramp adjacency, network structure, and cross-connect density often change the total more than the rack itself.
Example: 20kW GPU rack (high density / AI inference)
Base power: 20 kW x $245/kW = $4,900/mo
Cooling method and delivery architecture still move the $/kW band materially
Network and cloud-adjacent connectivity often add $1,000-$2,800+/mo
Cross-connect counts and remote hands policy can widen the difference further
Realistic total: $6,800-$9,800+/mo in many Silicon Valley deployments.
That is why we normalize all-in monthly cost rather than comparing only the base cabinet quote.






















