Solutions for the Data Center ‘Power Bottleneck’

Data centers have access to plenty of power, but it's often stranded rather than put to use, says Ken Sullivan, co-founder and CEO of Bay Compute.

"Power is the bottleneck to AI growth," Sullivan says. "A lot of the 'colos' and data centers are operating at 30, 40, 50% average power utilization."

Sullivan lays out how the shift toward AI inference is intensifying the power problem, why colocation operators are now being forced to optimize infrastructure they've never had to think about before, and why he believes the industry's component-by-component fixes are hitting diminishing returns.

Key Takeaways:

• Inference workloads create a much larger amplitude in power spikes than traditional cloud or training data centers, driving down average utilization and worsening the stranded-capacity problem — especially at edge and colocation facilities.

• Bay Compute's customers are unlocking 10-20% more capacity. By reducing peak power events, the company says its customers are able to free up additional capacity and sell it on to their own customers.

• Unlike hyperscalers, which have spent 20 years building tools to optimize dollar-per-token and watt-per-token, colocation facility operators historically passed power costs straight to tenants and had no incentive to optimize until new power became scarce.

• Most data center projects aren't approved until a power contract is secured, a shift from the old land-first model, pushing developers into secondary and tertiary markets where power is available.

Access the full transcript and a searchable content library at the Cool Vector Substack: 
https://open.substack.com/pub/coolvector/p/solutions-for-the-data-center-power?r=4tjd55&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true

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