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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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