Equation 21 · AI Inference Economics in Practice: An Advanced Technical Guide
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the maximum throughput it sustains per hour at full utilization. Read the equation part by part below; each part has a contextual explanation and a link to its mathematical background.
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Self-hosting is the limiting case, where the commitment term is effectively indefinite and the fixed cost is capital and operating expense rather than an hourly rate — and it inherits the identical discipline. The serving-stack parameters covered earlier are the mechanism by which a fixed hardware footprint’s effective is set: vLLM’s guidance that gpemortilization , mauatcheokens , and maueqs are the highest-impact throughput knobs [ 17 ] , and Mooncake’s demonstration that disaggregating the KV-cache tier can shift throughput by a reported multiple in specific scenarios [ 15 ] , are the difference between a fleet’s real utilization ceiling and the number on a…
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Self-hosting is the limiting case, where the commitment term is effectively indefinite and the fixed cost is capital and operating expense rather than an hourly rate — and it inherits the identical discipline. The serving-stack parameters covered earlier are the mechanism by which a fixed hardware footprint’s effective is set: vLLM’s guidance that gpemortilization , mauatcheokens , and maueqs are the highest-impact throughput knobs [ 17 ] , and Mooncake’s demonstration that disaggregating the KV-cache tier can shift throughput by a reported multiple in specific scenarios [ 15 ] , are the difference between a fleet’s real utilization ceiling and the number on a spec sheet. Evaluating self-hosting against a vendor’s on-demand rate without first establishing what the hardware can do compares a vendor’s optimized number against an unoptimized one, and will reliably conclude self-hosting costs more than it needs to.
Sources cited in the surrounding passage
- [17] Optimization and Tuning ↗
- [15] Mooncake: A KVCache-centric Disaggregated Architecture for LLM Serving ↗
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