Engineering brief
The 100x smaller transformer that could rewrite data center power
At a glance
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Drew Baglino's Heron Power shrinks transformers 100x by switching at hundreds of kHz. That halves grid-to-chip loss—35 MW more compute per gigawatt.
Power infrastructure is the hidden bottleneck for AI data center buildout.
Summary
Drew Baglino, former Tesla powertrain chief, is building solid-state transformers using wide-bandgap semiconductors. The Heron Link makes the transformer 100x smaller per unit power by switching at hundreds of kHz instead of 60 Hz, drastically reducing the size of magnetic components. This cuts
grid-to-chip losses by roughly half, delivering 35 MW more useful compute from a 1 GW data center. The technical shift is real: wide-bandgap materials (SiC, GaN) allow 10,000V transistors in a die smaller than a GPU. But the operational impact is underappreciated.
Data center electrical infrastructure—transformers, switchgear—is a long-lead, physically massive bottleneck. Baglino's approach replaces multiple cascaded passive stages with a single active power-electronics stage, simplifying buildout. Tradeoffs are significant. Reliability at scale for industrial solid-state transformers is unproven. The grid supply chain is
fragmented and risk-averse. Baglino's claim that data centers will lower electricity rates is plausible but depends on utility rate structures and infrastructure cost allocation. The core insight is that power delivery, not just compute, is becoming a critical constraint for AI scale.
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