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 improve inference speed in production LLM deployments?

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  2. LLM optimization techniques

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  3. How do you select GPUs for LLM inference?

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  4. How does a GPU work for Deep Learning?

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  5. How do CUDA Kernels work?

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  6. How does a Google TPU work?

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  7. How does an LPU work?

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  8. Estimate the GPU memory needed to serve a 70B model (weights, KV cache, activations). Does it fit on a single 80 GB GPU?

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  9. Do the roofline math: how many tokens/sec can one H100 produce for a 70B model at batch size 1?

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  10. What is model parallelism vs data parallelism in distributed training?

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