Deploying Healthcare AI Workflows with the NVIDIA Clara Deploy Application Framework (updated

published 27.06.2020 01:00

by Rahul Choudhury from developer.nvidia.com

During GTC Digital 2020, we released an update to the Clara Deploy SDK that included platform features and reference applications that enable developers and data scientists with a unified foundation for delivering intelligent workloads and realizing the vision of the smart hospital.

At SIIM 2020, we have now made available the latest version for Clara Deploy SDK, which includes new reference pipelines for COVID-19 inference from CT datasets, a suite of tools for digital pathology (including a pipeline, operators, and visualization), and additional tools to accelerate developers (including shared memory for multi-AI pipelines and features like easier DICOM configuration over REST APIs).

The integrated Fast I/O feature from the Clara Deploy SDK provides an interface to memory resources that are accessible by all operators running in the same pipeline.

To help you get started quickly, the Clara Deploy SDK comes with new reference application pipelines to enable your AI workflow approach: NVIDIA is committed to accelerating and making COVID-19 diagnostic tools available for developers.

The Clara Deploy SDK provides a reference application pipeline that demonstrates how to leverage shared memory.