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🪐FileEditViewRunKernelHelp
Python 3 · preporato-gpu · idle
📓lab.ipynb×
🐍benchmark.py
Step 3 of 5·NCA-GENL · Generative AI LLMs
345

Paged KV cache & the bursty bench

Rebuild the engine with --use_paged_kv_cache and re-run the bench. Goal: p99 < 150 ms & > 2,600 tok/s.

[3]:
from preporato_labs import Lab
lab = Lab("tune-trtllm-llama3")

engine = build_engine(max_batch_size=64, use_paged_kv_cache=True)
p50, p99, thr = bench(engine, qps=80, seconds=30)
[3]:
p50 82 ms · p99 141 ms · thr 2,340 tok/s
[4]:
lab.check(3)
[4]:
Step 3 Complete!
3 / 5 steps
“The labs are the only reason I passed NCA-GENL on my first try. Tuning TensorRT-LLM on a real GPU beat every lecture I’d watched.”

Andrew M. · ML Platform Engineer · NCA-GENL, Apr 2026

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NVIDIA · NCA-GENLQ 42/60

Which NVIDIA inference server supports in-flight batching for LLMs?

Multiple choiceMulti-select
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docs.nvidia.com / triton
TensorRT-LLM best practices
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Flashcards for NCCL ops, TensorRT flags, CUDA streams — scheduled by the forgetting curve.

NCCLCUDA streamsKV cacheTriton
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