Skip to main content
NVIDIA
BERT Triton deployment for PyTorch
Resource
NVIDIA
BERT Triton deployment for PyTorch

Deploying high-performance inference for BERT model using NVIDIA Triton Inference Server.

This resource is a subproject of bert_for_pytorch. Visit the parent project to download the code and get more information about the setup.

The NVIDIA Triton Inference Server provides a datacenter and cloud inferencing solution optimized for NVIDIA GPUs. The server provides an inference service via an HTTP or gRPC endpoint, allowing remote clients to request inferencing for any number of GPU or CPU models being managed by the server. This folder contains detailed performance analysis as well as scripts to run SQuAD fine-tuning on BERT model using Triton Inference Server.

Modal Content

NVIDIA uses cookies to improve your experience on our web site. We and our third-party partners also use cookies and other tools to collect and record information you provide as well as information about your interactions with our websites for performance improvement, analytics, and to assist in marketing efforts. By clicking "Accept All", you consent to our use of cookies and other tools as described in our Cookie Policy. You can manage your cookie settings by clicking on "Manage Settings." By continuing to use this site or by clicking one of the buttons below, you agree to our Terms of Service (which contains important waivers). Please see our Privacy Policy for more information on our privacy practices.