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500+ AI Inference & Model Serving Interview Q&A [2026]

500+ AI Inference & Model Serving Interview Q&A [2026]

LLM Inference, vLLM, SGLang, Quantization & GPU Optimization

Prepare for advanced AI engineering and machine learning infrastructure interviews with 500+ LLM Inference & Model Serving Interview Questions and Answers [2026]. This comprehensive interview preparation course is designed for professionals and aspiring engineers who want to strengthen their knowledge of Large Language Model (LLM) inference, model serving, GPU optimization, and production-ready AI infrastructure. Explore essential concepts such as LLM inference architecture, prefill and decode phases, KV Cache management, PagedAttention, continuous batching, model quantization, GPU memory management, and distributed inference. Develop a deeper understanding of modern model-serving frameworks, including vLLM, SGLang, and Ollama.…

Instructor

Jitendra Suryavanshi

Topic
Web Development
Category
Development
Language
English (US)
Platform
Udemy

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