r35.2.1 comes with PyTorch 2.0; Torch-TensorRT 1.3.0 is officially only compatible up till PyTorch 1.13.0. For whatever reason, for Jetpack 5.1, NVIDIA doesn't support 1.13, but has their own version ...
Discover how Torch-TensorRT optimizes PyTorch models for NVIDIA GPUs, doubling inference speed for diffusion models with minimal code changes. NVIDIA's recent advancements in AI model optimization ...
The pytorch/pytorch docker base image was used rather than NVIDIA NGC container 24.12 because the NGC container relies on an early release version of Torch-TensorRT 2.6.0a0 that introduced a bug that ...
Deep learning is revolutionizing many industries, from healthcare to transportation. But one of the challenges that have held back the widespread adoption of deep understanding is the time it takes to ...
As the demand for large language models (LLMs) continues to rise, ensuring fast, efficient, and scalable inference has become more crucial than ever. NVIDIA’s TensorRT-LLM steps in to address this ...