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Self-host a 753B open-weights model or call a hosted API? Work the crossover.

Price the same workload and service guarantees, including input tokens, idle capacity, failures and operations. Then check whether the algebraic crossover fits the fleet before treating it as a buying decision.

Updated Sep 2026 · Learn how AI infrastructure works through explanations, worked examples and diagrams, then practise applying it to interview questions.

Price the same workload and service guarantees, including input tokens, idle capacity, failures and operations. Then check whether the algebraic crossover fits the fleet before treating it as a buying decision.

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Work through the numbers

Change the assumptions in a free calculator, then explain what the result establishes and what still needs measurement.

The concepts behind this question

Use these concept explanations to review the ideas behind this question.

🧮 Open Weights & Serving Engines

Capacity Planning for Open-Weights FleetsMatch forecast traffic to a measured replica operating envelope, then check failure domains, rollout capacity, readiness time and cost. Output tokens alone omit prompt work and live state; total parameter count alone does not determine a replica's throughput.

📐 AI Systems Design

Control Plane and API Design for GPU PlatformsA control plane records intended work and coordinates its execution. Clear retry, cancellation and listing semantics keep its API useful when requests or workers fail.

🧭 Ownership & Judgment

Talking About Cost and Capacity with LeadershipA capacity discussion should connect technical measurements to cost, delivery dates and risk. Present the assumptions, feasible options and a recommendation, and distinguish committed capacity from actual consumption under the relevant contract.

🧮 Napkin Math & Capacity🔒 Premium

Cost per Million TokensCost per million tokens connects fleet spending to useful output. Keep the time window, token definition and utilization assumptions consistent when comparing deployments.

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UP NEXT ON YOUR JOURNEY

Next in this trackOne replica in a serving fleet returns tokens slower than its siblings. Find out why.Next in this trackThe model advertises a million tokens of context. What actually breaks when you serve it?Next in this trackThe model authors publish a new revision. How do you roll it out without a quality regression?

FEDITOR'S NOTE

Scored on complete workload costs, capacity-valid break-even, calendar billing and the operational requirements that can rule out either deployment.

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