In Q1 2026, our team cut monthly LLM inference spend from $142,000 to $45,360, slashed p99 latency from 1.8s to 620ms, and eliminated vendor lock-in by migrating from three proprietary LLMs to self-hosted Llama 3.2 70B on AWS Graviton4 instances. We didn’t compromise on output quality—human eval scores dropped by less than 1.2% across 12,000 test prompts.

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