Feb 5, 2026 · 14 min read
Reducing Inference Costs with SLM and Infrastructure Optimization
Inference now dominates AI budgets, but frontier-only architectures and agentic token multiplication do not scale. This research-backed guide explains SLM routing, quantization, batching, and caching — with a 90-day playbook for reducing cost per resolved task, grounded in Stanford HAI, Gartner, RouteLLM, and open-weights benchmarks.
infrastructureoptimization
Nexum Intelligent Systems Research Team · AI Infrastructure & Governance
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