Physical Compute Infrastructure Briefings.
High-signal technical memos, supply chain teardowns, and CapEx cycle analyses examining the physical bottlenecks powering next-generation artificial intelligence.
The Death of Copper: How Light Will Power Next Gen AI
As transmission rates push toward 448 Gbps, copper hits a thermodynamic wall. To scale AI superclusters, hyperscalers must replace electrical copper traces with microscopic light pulses. By utilizing Co-Packaged Optics (CPO) and sub-micron 3D hybrid bonding, the electrical routing path collapses from 30cm to 3mm, plummeting interconnect energy consumption.
Published Dispatches
Behind the Meter: Why Big Tech Is Buying Nuclear Power Plants
With utility interconnect queues stalled for up to 7 years, gigawatt-scale AI clusters cannot wait for regional grid upgrades. The hyperscaler workaround? Park the server halls directly behind the reactor meter to pull 24/7 baseload generation straight from the turbine.
The 2029 Power Wall: Why Big Tech Cannot Turn on Their AI GPUs
Hyperscalers can secure 100,000-GPU clusters in months, but stepping 230kV bulk power down to 416V requires custom Large Power Transformers. The global manufacturing queues are now booked solid through 2029.
The 100kW Rack Paradox: Why Liquid Cooling Threatens AI Compute
Replacing fans with high-pressure fluid loops transforms multi-billion-dollar clusters into mechanical single-point failure machines prone to 48V arc flashes.
The $500 Billion AI CapEx Trap Breaking Big Tech
An investigation into grain-oriented electrical steel, manual coil winding, and the 400-ton rail transit deficits choking the physical buildout of AI infrastructure.
Upcoming Technical Dispatches
The CoWoS Interposer Crunch: Advanced Packaging Limits
Why wafer fabrication is no longer the primary pacing item for AI silicon output, and how interposers and HBM stacking dictate global delivery.
The MEP Deficit: The Blue-Collar Crisis Breaking Big Tech
You cannot algorithm your way out of a copper and labor deficit. Why the 349,000 net new worker shortage is stalling gigawatt-scale AI campuses.
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