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New Case Study

Cognitiv gets the control its global low-latency inference infrastructure requires

For a business like Cognitiv, which operates an AI-powered ad platform, optimizing for latency is a strategic priority. As such, it requires the company to have full control over its inference infrastructure stack. This case study shows how Cognitiv leverages Equinix's global network of AI-ready data centers for inference at the edge to efficiently process millions of bids per second.

What you'll find inside

  • Learn how proximity to users shrinks latency to single digits.
  • Discover why real time AI responsiveness requires full hardware control.
  • Understand a hybrid cloud inference architecture that processes millions of bids per second.
  • See how a hybrid cloud inference approach can reduce lifetime infrastructure cost.
  • Understand the latency and cost tradeoffs between a hybrid-cloud inference approach and a purely public-cloud one.
As we looked to support larger-scale data science efforts and move our engineering infrastructure forward, it was a natural choice to use Equinix high-performance data centers, which gives us full control while also minimizing our latency.
Michael Goncalves
Director of Engineering and Operations, Cognitiv
Distributed AI