Inference Costs Are Deciding Which AI Products Survive
Training budgets get the headlines, but serving costs are quietly killing products. Six teams shared their per-request economics, and the pattern is consistent.
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Hard reporting on the systems behind modern software: AI models and the infrastructure that trains them, chip supply, developer tooling, platform power, and the security failures that keep repeating.
3 articles in this section
Training budgets get the headlines, but serving costs are quietly killing products. Six teams shared their per-request economics, and the pattern is consistent.
On published evaluations the difference has narrowed to noise. Teams running both in production describe a gap that benchmarks do not measure at all.
Everyone watches EUV tool shipments. The constraint on accelerator supply has moved downstream to packaging capacity, and it does not scale on the same timeline.