Instruction: Outline an approach for dynamically allocating computational resources to ML models based on demand and performance requirements.
Context: This question evaluates the candidate's expertise in managing computational resources efficiently, ensuring optimal performance and cost-effectiveness in ML deployments.
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I would design the system around workload awareness: request volume, latency targets, model complexity, hardware availability, and the cost of degraded service. Then I would allocate resources dynamically using autoscaling, priority queues, model routing, and possibly different serving...