The efficient frontier of LLM inference
THE SO WHAT
Inference is becoming a capital allocation problem—model size, quantization, and hardware choice define an efficient frontier of cost vs. latency vs. quality. If you’re running LLMs in production, you need someone explicitly accountable for moving workloads along that frontier instead of just “using the latest model” by default.
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