Tier 2 Colocation Arbitrage: The 185% Pricing Gap
How much can you save with Tier 2 colocation?
Tier 2 markets like Atlanta, Phoenix, and Dallas offer colocation at $115-$140/kW compared to $250-$285/kW in Silicon Valley and Ashburn. This 40-60% cost savings translates to $1.5M+ annual savings for a 10MW deployment. The trade-off is slightly higher latency to coastal users (12-15ms vs 5-8ms).
Last updated: January 2026
Colocation Pricing by Market (2026)
| Market | Tier | $/kW/mo | Power ($/kWh) | 10MW Annual |
|---|---|---|---|---|
| Silicon Valley | Tier 1 | $285 | $0.18 | $49.8M |
| Ashburn (NoVA) | Tier 1 | $250 | $0.12 | $40.5M |
| Chicago | Tier 1.5 | $165 | $0.10 | $28.5M |
| Atlanta | Tier 2 | $120 | $0.08 | $21.1M |
| Phoenix | Tier 2 | $115 | $0.09 | $20.5M |
| Dallas-Fort Worth | Tier 2 | $125 | $0.07 | $21.1M |
| Reno | Tier 2 | $100 | $0.06 | $17.3M |
Potential Savings: $20-30M annually by moving from Silicon Valley to a Tier 2 market for a 10MW deployment.
Trade-offs to Consider
Advantages of Tier 2
- •40-60% lower colocation costs
- •30-50% lower power costs
- •Shorter interconnection queues
- •More available capacity
- •Lower labor costs for on-site staff
Considerations
- •Higher latency to coastal users (12-15ms vs 5-8ms)
- •Fewer carrier options in some markets
- •Limited ecosystem (fewer peering partners)
- •Some markets have water/cooling constraints
- •May need to split workloads across regions
Top Tier 2 Markets for AI Workloads
Atlanta
Southeast Hub
- $/kW: $120
- Power: $0.08/kWh
- Latency: 12ms to NYC, 18ms to LA
- Best for: National inference, Southeast enterprise
Dallas-Fort Worth
Central Hub
- $/kW: $125
- Power: $0.07/kWh (ERCOT)
- Latency: 15ms to both coasts
- Best for: National coverage, AI training
Phoenix
Southwest Hub
- $/kW: $115
- Power: $0.09/kWh
- Latency: 8ms to LA, 25ms to NYC
- Best for: West Coast overflow, gaming
Frequently Asked Questions
Does Tier 2 latency matter for AI inference?
For most applications, no. Real-time inference adds 10-50ms of model processing time anyway. An extra 5-10ms of network latency is imperceptible for chatbots, image generation, and most enterprise AI. Exceptions: high-frequency trading, competitive gaming.
What workloads should stay in Tier 1?
Keep in Tier 1: latency-sensitive financial applications, real-time gaming, streaming CDN origin servers, applications requiring specific peering relationships. Move to Tier 2: AI training, batch inference, disaster recovery, development/staging.
How do I evaluate Tier 2 carrier connectivity?
Check for: 3+ Tier 1 transit providers, major cloud on-ramps (AWS Direct Connect, Azure ExpressRoute), and IX presence. Top Tier 2 markets like Atlanta and Dallas have robust connectivity comparable to Tier 1.
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