Startup Spotlight: Dipole Labs builds optical switches to keep AI cluster traffic in light

Harvard postdocs Deepankur Thureja and Gabriele Pasquale are turning photonics research into reconfigurable networking hardware for GPU fleets.

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Primary source: Y Combinator

Why it matters

AI infrastructure spending increasingly depends on extracting more work from installed accelerators. Dipole is betting that workload-aware optical switching can improve utilization without adding another row of GPUs.

A close-up view of intricate optical networking hardware with bundles of colorful fiber optic cables inside a modern server rack.

Deepankur Thureja and Gabriele Pasquale are building Dipole Labs around an expensive piece of dead time inside AI clusters: processors waiting for the network to deliver data.…

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