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LLM Caching: Exact, Prefix, and Semantic, and What Each Actually Saves
Three LLM cache types solve different problems teams routinely conflate. What each saves, the hit rates you should actually expect, and where each one breaks.
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LLM Model Routing in Production: When to Send a Query to a Small Model
Route 60-80 percent of production traffic to small models with a quality fallback. The four routing architectures, the eval signals, and the failure modes.
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Small Language Models in the Enterprise: When Smaller Beats Bigger
Frontier models do not win every task. A 2026 framework for when small and mid-sized models beat them on cost, latency, privacy, and accuracy.
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The Hidden Cost of LLM Inference in 2026: Why Token Pricing Is Misleading Enterprise Buyers
Per-token prices look comparable. They are not. Three hidden cost drivers reshape the real LLM inference economics for enterprise buyers in 2026.
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