TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.
Updated 2026-10-11 21:11:56 +00:00
A high-throughput and memory-efficient inference and serving engine for LLMs
amd
blackwell
cuda
deepseek
deepseek-v3
gpt
gpt-oss
inference
kimi
llama
llm
llm-serving
model-serving
moe
openai
pytorch
qwen
qwen3
tpu
transformer
Updated 2026-10-11 21:09:45 +00:00
⚡ Automated nightly builds & portable releases for lucebox (DFlash) inference server on NVIDIA CUDA (sm_75-120) and AMD ROCm 7 (Strix Halo gfx1151, RX 7900 XTX gfx1100, R9700 gfx1201) with zero-dependency $ORIGIN RPATH bundling.
ai-inference
cuda
deepseek-v3
deepseek-v4
dflash
gfx1100
gfx1151
gfx1201
hip
llm-inference
lucebox
nightly-builds
portable-binaries
rdna3
rdna4
rocm
rocm-7
rtx5090
rx7900xtx
strix-halo
Updated 2026-08-31 01:02:00 +00:00