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The LLM Inference Trilemma: Throughput, Latency, Cost
This article examines the fundamental trade-offs in large language model inference operations, specifically the competing priorities of maximizing throughput, minimizing latency, and reducing costs. I
This article examines the fundamental trade-offs in large language model inference operations, specifically the competing priorities of maximizing throughput, minimizing latency, and reducing costs. It likely discusses how optimizing for one objective often negatively impacts the others, and explores strategies for balancing these three factors in production LLM deployments.
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Source: DigitalOcean | 2026-04-22