TensorRT-LLM
What it is
TensorRT-LLM is an optimized inference framework for Large Language Models (LLMs) and Visual Generation models. It provides a Python API and high-performance C++ runtimes that utilize specialized kernels and efficient orchestration to maximize throughput and minimize latency on NVIDIA GPUs.
The problem it solves
High computational costs and slow inference speeds of Large Language Models.
What you could use it for
- Deploying and optimizing LLM inference on NVIDIA Blackwell GPUs
- Scaling video generation across high-performance computing clusters
- Optimizing Multi-Query Expert (MoE) model inference
- Implementing high-throughput inference for long-context applications
Read the source ↗Back to the library →
Summary written by an AI model from the source; check the source before you rely on it.