professional
13 min read
AI Inference Costs: When Model Routing Becomes the Real Product Decision
The prototype proved the idea. Now the bill decides whether the idea gets to exist.
Read reportdevelopers, technical founders, infrastructure engineers, and product leaders
AI Model Economics and Inference
Follow the economics behind AI that actually scales: inference cost, hardware, serving, routing, caching, and model choice.
Reports
Reports in AI Model Economics and Inference
Read source-grounded analysis for this AI trend area.
technical
13 min read
AI Inference Hardware: Why Serving Economics Matter More Than Peak Specs
Two accelerators can sit within a few percent of each other on the spec sheet and produce very different monthly bills. The gap is not fraud, and it is not…
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technical
12 min read
Small Language Models: When Smaller Models Win
A team ships a feature on a frontier model. It works. Then the bill arrives, p95 latency drifts past the interactive threshold, and someone says the…
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technical
14 min read
LLM Serving: How Batching, Caching, and Concurrency Change Unit Economics
Your dashboard is green. GPU utilization sits in a healthy band, average latency looks fine, and nobody has filed a complaint this week. Then the invoice…
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technical
17 min read
LLM Cascades and Fallbacks: Designing for Cost, Quality, and Failure
A cascade is a deferral policy. If you cannot price the deferral, you are not engineering — you are gambling with a Grafana panel.
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technical
15 min read
AI Serving Architecture: Balancing Latency, Quality, Reliability, and Cost
The expensive serving decision is the one you make before you have traffic data.
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technical
17 min read
Choosing AI Models for Production Workloads: From Benchmarks to Fit
A benchmark score is a result under agreed test conditions. Production reliability is what remains when your inputs, your missing fields, and your…
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professional
15 min read
AI Feature Unit Economics: Cost per Task, Quality, and Margin
A feature that looks profitable on a per-call spreadsheet can lose money in production. The spreadsheet counts requests. Production counts attempts,…
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technical
20 min read
AI Inference Capacity Planning: Traffic, Queues, and Latency Budgets
A capacity plan built from average QPS and a single latency target will survive the spreadsheet and die on the first traffic spike. The number was never…
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technical
18 min read
Specialized Models vs General LLMs: Choosing by Task Boundary
A general model is the safest bet only while you are still discovering what the task is.
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