What is TensorRT-LLM built with?
TensorRT-LLM is a Python repo built with FastAPI, anyio, uvicorn, and starlette. It stores its data in pyzmq, uses AI through accelerate, apache-tvm-ffi, cuda-python, flash-linear-attention, flashinfer-python, and 32 more, makes its content with jsonlines, pillow, jinja2, and mako, validates its data with Pydantic, msgspec, and jsonschema, is tested with pytest-cov, pytest-env, pytest-forked, pytest-rerunfailures, pytest-timeout, and 6 more, deploys with opentelemetry-api, opentelemetry-semantic-conventions-ai, psutil, prometheus-client, boto3, and 3 more, and uses blobfile and h5py. It has 2,884,778 written lines, with 2,703 test files.
Read on November 8, 2026, at commit b433473. Read it as markdown
Frontend
Interface 3
- Rich12 files
matplotlib1 file
- Plotly1 file
Backend
The base 1
- FastAPI15 files
Data 3
h5py
- pyzmq13 files
- blobfile
AI 36
- torch1,611 files
diffusers35 files
safetensors17 files
torchvision10 files
xgrammar4 files
librosa2 files
mcp2 files
partial-json-parser2 files
evaluate1 file
lm-eval1 file
peft1 file
accelerate
apache-tvm-ffi
flash-linear-attention
flashinfer-python
- NVIDIA
nvidia-cudnn-frontend
openai-codex
optimum
rouge-score
torchao
- triton218 files
- transformers168 files
- einops20 files
- datasets7 files
- flash-attn7 files
- mistral-common2 files
- tritonclient2 files
- llguidance1 file
- cuda-python
- openai-harmony
- quack-kernels
- rouge
- sentencepiece
- tiktoken
- torch-c-dlpack-ext
Services 1
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