Executive Summary
A smarter way to scale AI inference
AI is only as valuable as its ability to deliver results in real time. But as inference workloads grow, many organizations face rising costs, unpredictable performance, and increasing operational complexity. A distributed, edge-enabled colocation strategy changes that equation.
By placing the infrastructure that runs AI inference closer to your users and data sources, you can reduce latency, improve cost efficiency, and scale workloads with greater control and predictability.
The Challenge
What’s at risk
When AI inference goes into production, complexity shows up fast. AI model training may happen once, but AI inference learning runs continuously. And as usage grows, so do the challenges:
- Escalating costs tied to usage: Every API call, token, or model request adds up and makes costs difficult to forecast and control
- Latency that impacts user experience: Centralized cloud regions introduce delays that degrade real-time applications
- Unpredictable demand spikes: AI adoption is hard to forecast, leading to overprovisioning or performance bottlenecks
- Infrastructure growing more complex: Managing GPUs and TPUs, scaling workloads, and optimizing models requires specialized expertise
- Limited control in cloud-only environments: Visibility into performance, costs, and data movement is often constrained
Csquare Solution
Enable real-time AI with distributed infrastructure in highly reliable edge colocation data centers
With a dominant presence across primary metros in North America and the U.K., Csquare facilities support real-time AI inference with the power, advanced cooling, and carrier-neutral connectivity you need for latency-sensitive workloads at scale.
AI inference services
- Pre-contracted utility power in reserve: High-density-ready colocation power to support modern GPU deployments
- Advanced cooling: Support for in‑row and/or in-rack CDU cooling, rear‑door heat exchangers, direct liquid-to-chip, and liquid-to-air systems
- Redundant power architecture: N+1, 2N, 4 to make 3 configurations for always-on reliability
- Structural support: Reinforced flooring, high-weight rack tolerances, and dense cabling pathways
- Carrier-neutral connectivity in 30 primary markets: High-speed, low-latency nearly instant connections to global networks and cloud providers
- Scalability by design: Easily expand your footprint or power profile as your needs grow
AI inference support
- Hybrid AI integration: Easily connect your AI training environments with distributed edge inference deployments
- High-availability perfomance: 100% SLA-backed uptime to maintain real-time inference operations
- Remote Hands: Our technicians act as your on-site team when you can’t be there
- Physical and logical security: 24/7 monitored access controls, biometric authentication, surveillance systems, and layered security protocols
- Compliance: Independent audits and industry certifications such as SOC 1, SOC 2, ISO 27001, NIST 800-53, and more
We’re ready to put your business at the center.
Looking for space and power availability? Need pricing? Want to schedule a local data center tour? Got questions about our colocation services? Our data center colocation specialists are ready to assist.