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Inference Optimization
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Vllm
Vllm
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19 questions
Questions tagged with Vllm — part of Inference Optimization.
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Name the architectural shifts vLLM v1 made relative to v0
Short Answer
Medium
Recognize vLLM and the optimization that made it famous
Flashcard
Easy
Spell out TensorRT-LLM and pinpoint its production differentiator
Flashcard
Easy
Name TGI's maintainer and its niche among serving stacks
Flashcard
Easy
Identify PagedAttention and the project it ships with
Flashcard
Easy
vLLM defaults to a page size of 16. Pick what makes 1 and 1024 worse choices.
Multiple Choice
Medium
What problem does chunked prefill solve in production LLM serving?
Multiple Choice
Medium
How does prefix KV-cache sharing reduce serving cost across requests?
Short Answer
Medium
Multi-tenant SaaS with 500 customer specific fine-tunes. Merge or swap?
Multiple Choice
Medium
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How does PagedAttention enable…
Short Answer
Hard
When would you choose vLLM, TensorRT-LLM, SGLang, or TGI for a production serving deployment?
Short Answer
Hard
Match each production serving framework to its defining strength
Match Pairs
Hard
What problem does PagedAttention solve and why does block based allocation enable larger batches?
Short Answer
Hard
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What is the primary…
Multiple Choice
Medium
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Why did continuous batching…
Short Answer
Medium
What does the vLLM style continuous batching scheduler actually do at each step?
Short Answer
Hard
Put the vLLM style continuous batching scheduler steps in correct order for one iteration
Order Steps
Hard
Walk through paged attention end to end, page table, block lookup, and how it enables higher throughput.
Short Answer
Hard
What problem does paged attention (vLLM) solve, and what OS concept does it borrow from?
Multiple Choice
Hard
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