The Silicon Valley landscape is undergoing a profound transformation as the city of San Jose aggressively pivots toward becoming the foundational core of the global artificial intelligence infrastructure. This shift is not merely a technical upgrade but a radical re-engineering of the urban
Why Data Centers Face a New Kind of Hometown Resistance — and Why It Matters Now Neighborhood yard signs once meant school levies or traffic calming, but now they rally voters against gigawatt-scale AI data centers rising next door, signaling a power shift from quiet permitting to loud, organized
Capital is finally chasing utilization, not logos, as specialized AI clouds turn GPU scarcity into strategy and push buyers to place each workload where it truly runs best, and Verda’s $117 million raise offers a timely lens on how training, advanced inference, and agentic patterns are rewriting
Lead A single 400G stream hits a switch, fans into APIs and storage calls, and suddenly the fabric groans under multi-terabit east-west traffic that no steady-state forecast ever predicted and no tidy oversubscription ratio can fully contain. That is the daily reality of AI training and data prep
Lead: The Rising Tide Meets the Server Rack Beneath flight paths and container cranes, where fiber landings lace the seabed and grid nodes hug the coast, a new class of data center is edging into view—floating, seawater-cooled, and positioned to feed AI’s hunger without squeezing the last buildable
Matilda Bailey has spent years at the sharp edge of networking and next‑gen wireless, where bandwidth, latency, and memory footprints decide what ships and what stalls. Today she unpacks Google Research’s TurboQuant, a claimed 6x reduction in inference memory and an 8x speedup on the same GPUs,
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