AI 基础设施

题集来源:AMIT SHEKHAR(amitshekhariitbhu)收录项目:ai-engineering-interview-questions查看原题集

题目目录

35 道原题
  1. How do you optimize inference for edge and mobile deployment?

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  2. What is model quantization (INT8, INT4, FP16, BF16), and how does it affect quality?

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  3. How do you implement auto-scaling for AI workloads?

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  4. What is the role of load balancing in AI serving infrastructure?

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  5. How do you manage GPU memory for serving multiple models?

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  6. What is model sharding, and when would you use it?

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  7. How do you implement request queuing and priority scheduling for AI services?

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  8. What are the cost trade-offs between self-hosted and API-based AI inference?

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  9. How do you handle cold start latency for serverless AI deployments?

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  10. How do you implement model caching to reduce redundant computations?

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