What is a data center?
Understand the physical facility.
Compute College
Data center interconnection links AI capacity to networks, clouds, data sources, and buyers who need to use it.
Data center interconnection is the physical and network connectivity that links a facility to carriers, cloud networks, other data centers, data sources, and customers. For AI compute, interconnection determines how effectively inputs reach a cluster and model outputs reach buyers and users.
Memory trick: Power turns GPUs on; data center interconnection makes them reachable and commercially useful to buyers.
Accelerators and power do not make a useful market product in isolation. Training data may need to enter a site, checkpoints may need to leave it, cloud services may coordinate with it, and serving traffic may require predictable latency. Weak connectivity can reduce the value of otherwise available compute.
Suppose two providers offer the same 48-hour accelerator job and the remote option appears cheaper per GPU-hour. If that site adds hours of staging delay, expensive data transfer, or unacceptable output latency, the buyer may finish later or spend more overall despite paying less for the GPU time.
Example figures are illustrative calculations, not current quoted market prices.
Do not assume the lowest-cost location is the cheapest completed workload. A buyer may lose time moving data, pay additional transfer costs, or fail latency requirements. A facility also can be physically near demand yet lack the needed carrier or cloud connection.
Practical takeaway
Procurement teams should gather connectivity terms with any compute quote. Analysts evaluating a region should consider network reach as one contributor to usable supply, while operators should identify the connections required before promising capacity to a customer.
Decision check: normalize provider comparisons using GPU cost, transfer cost, data-staging time, latency needs, and availability before selecting a site.
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Step 11 of 17: What is data center interconnection