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
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
ai-inference
deep-learning
generative-ai
inference-platform
llm
llm-inference
llm-serving
llmops
machine-learning
ml-engineering
mlops
model-inference-service
model-serving
multimodal
python
Updated 2026-10-05 17:17:20 +00:00