Section archive

Infrastructure

Compute, inference economics, model serving, and the operational stack beneath the headlines.

The archive stays narrow on purpose: one desk, real bylines, and a cleaner route back into the surrounding publication.

Infrastructure deskSigned archive trails

Stories: 2
Bylines: 1
Latest story: Mar 20, 2026
Recurring tags: 8

Infrastructure/Mar 20, 2026/6 min read

NVIDIA AI grids turn telcos into inference resellers

NVIDIA's AI-grid push bets that telecom networks can sell distributed inference, not just connectivity. The real question is whether operators can package that capacity in ways developers and buyers will actually use.

Lena OrtizInfrastructure Correspondent

#NVIDIA #AI grids #AI-RAN #Distributed inference

Editorial illustration of a telecom tower radiating distributed inference lanes across nearby edge sites, roads, devices, and city infrastructure. — Story / INFRA_03The AI-grid pitch is really a plan to turn the telecom footprint into sellable inference capacity.

Infrastructure/Mar 13, 2026/7 min read

Open-weight model inference economics for lean teams

Open-weight models change inference economics when teams care about more than sticker price. Utilization, latency, privacy, and operating control decide whether self-hosting actually beats an API.

Lena OrtizInfrastructure Correspondent

#Open-weight models #Inference economics #GPU costs #Model serving

Editorial illustration of a serving stack with model weights, GPU capacity, utilization lines, and cost panels arranged across a dark infrastructure grid. — Story / INFRA_03The economics of open-weight serving are decided by utilization and operations, not ideology alone.