Where the market essay named the vendors, this piece explains the physics. What 1,000 W/cm2 at the die actually means, how a hundred-dollar coupling either saves or destroys a rack, and where cooling is going next.
Where the market essay named the players, this piece explains the physics. What wide bandgap actually means, why SiC and GaN outperform silicon at the same voltage, and how a boule of vapour-grown crystal becomes a switch that runs at 800V and 200kHz. Cross-sections, process flows, roadmaps.
Every watt delivered to a GPU comes back out as heat, and at 600kW per rack there is nowhere for it to go but water. A layer-by-layer analysis from the die to the dry cooler: the $9.5bn acquisitions, the coupling oligopoly, the fluid chemistry stranded by a single corporate decision.
SiC and GaN are the enabling materials of the 800VDC data center. Their industry has just come through a capacity glut, a 60%+ price collapse, and the bankruptcy of its founding champion. A layer-by-layer analysis from crystal boule to gate driver.
The 800VDC transition has quietly turned four sleepy component categories — HSCs, EDLCs, MLCCs, and silicon capacitors — into some of the most supply-constrained, contested layers of the AI buildout. A layer-by-layer analysis.
The DC transition isn’t one decision. It’s a stack of six. Most operators making AI infrastructure decisions in 2026 are getting one thing wrong — they’re treating it as monolithic.
The trade press writes about "the move to 800 VDC" as if it's one thing. It isn't. There are at least two competing architectures wearing that label — and they don't look much alike.
The DC transition isn't one thing and it isn't just about capacity. Four forces are pushing hyperscalers toward DC power architecture: density economics, grid constraints, GPU synchronicity, and hyperscaler strategy.