GPU Cluster / Inference Infrastructure System Design

System DesignAnthropicLast reported August 2026Medium Frequency
Reported
7× across candidate reports
First seen
March 2025
Last reported
August 2026
Also asked in
Coding
Reported outcome
mixed

Problem Overview

Design an inference serving system for a large language model (e.g., Claude) that minimizes latency and maximizes throughput across a GPU cluster. The system sits between client-facing API services and a pool of GPU inference backends. Key components to address include: (1) a router/load balancer between the API service and…

  • 7 candidate-reported follow-ups — the exact probes interviewers asked, with the trigger for each
  • The rest of the problem statement — full requirements, constraints, and edge cases
  • Approach and trade-offs — what passing candidates did, and the mistakes that sink people
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Verified Source
Every question is reconstructed from multiple independent candidate reports. Verbatim follow-ups, not invented ones.
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Interviewer Follow-ups
The exact follow-ups reported by candidates, with the trigger that prompts each one — plus the mistakes that sink people.
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