DEVELOPER BLOG

○ TensorRT is an SDK for high-performance deep learning inference, and TensorRT 8.0 introduces support for sparsity that uses sparse tensor cores on NVIDIA Ampere GPUs. It can accelerate networks by reducing the computation of zeros present in GEMM operations in neural networks. You get a performance gain compared to dense networks by just following the steps in this post. 8 MIN READ

Deep neural networks achieve outstanding performance in a variety of fields, such as computer vision, speech recognition, and natural language processing. 9 MIN READ

Built on the brand new NVIDIA A100 Tensor Core GPU, DGX A100 is the third generation of DGX systems and is the universal system for AI infrastructure. 15 MIN READ

Recent work has demonstrated that larger language models dramatically advance the state of the art in natural language processing (NLP) applications such as… 9 MIN READ

Today, during the 2020 NVIDIA GTC keynote address, NVIDIA founder and CEO Jensen Huang introduced the new NVIDIA A100 GPU based on the new NVIDIA Ampere GPU… 30 MIN READ

Gradient boosting is a powerful machine learning algorithm used to achieve state-of-the-art accuracy on a variety of tasks such as regression… 17 MIN READ