At its GPU Technology Conference, Nvidia announced several partnerships and launched updates to its software platforms that it claims will expand the potential inference market to 30 million ...

TensorRT, TensorFlow Integration NVIDIA unveiled TensorRT 4 software to accelerate deep learning inference across a broad range of applications. TensorRT offers highly accurate INT8 and FP16 network ...

When deploying large-scale deep learning applications, C++ may be a better choice than Python to meet application demands or to optimize model performance. Therefore, I specifically document my recent ...

Nvidia today announced the release of TensorRT 8, the latest version of its software development kit (SDK) designed for AI and machine learning inference. Built for deploying AI models that can ...

During a keynote address at its GPU Technology Conference China, Nvidia announced the latest release of its TensorRT platform, TensorRT 7.

Hardware support is now available for TensorFlow from NVIDIA and Movidius, intended to accelerate the use of deep neural networks for machine learning applications.

It announced TensorFlow’s integration with NVIDIA’s TensorRT library, which optimizes DL models for inferencing on GPUs and creates a runtime for deployment on GPUs in production environments.

At its GPU Technology Conference, Nvidia announced several partnerships and launched updates to its software platforms that it claims will expand the potential inference market to 30 million ...