An Application Framework Optimized for Healthcare and Life Sciences Developers
NVIDIA Clara is a healthcare application framework for AI-powered imaging and genomics. It includes full-stack GPU-accelerated libraries, SDKs and reference applications for developers, data scientists and researchers to create real-time, secure and scalable solutions.
Today, GPUs are found in almost all imaging modalities, including CT, MRI, x-ray, and ultrasound - bringing compute capabilities to edge devices. With the boom of deep learning research in medical imaging, more efficient and improved approaches are being developed to enable AI-assisted workflows through GPU-enabled modalities.
With the latest release of the NVIDIA Clara application framework, developers have the necessary tools and APIs to carry out AI development, as well as introduce AI capabilities to medical devices through embedded hardware.
Training framework includes techniques such as Federated Learning and transfer learning which enables data scientists and researchers to collaborate and build robust, generalizable AI algorithms, keeping the data private and secure.
Optimized AI training for medical imaging with Horovod based multi-GPU scaling, Automatic Mixed Precision (AMP) and smart caching mechanism.
Ease of Integration
Clara Deploy includes the necessary building blocks and reference applications that enable developers to build clinical workflows that can interface in a hospital-like environment.
NVIDIA Clara AGX™ Developer Kit
The NVIDIA Clara AGX™ developer kit is an embedded AI computer and software development framework for medical devices that need the ability to perform real-time AI and advanced image, video and signal processing. NVIDIA Clara AGX securely manages and orchestrates AI application deployments to fleets of medical devices or edge nodes.
NVIDIA Clara Genomics enables real-time genomics workflows with high-performance computing, deep learning and analytics on a single architecture that lives on the edge in the sequencer to the datacenter and every public cloud.
Real-Time Genome Analysis
NVIDIA’s GPU Accelerated Computing platform enables real-time genomics workflows with high-performance computing, deep learning and analytics on a single architecture that lives on the edge in the sequencer to the datacenter and every public cloud.
To reduce genome analysis time from days to hours, Clara Genomics offers GPU-accelerated implementation of mapping, alignment and polishing for genome assembly.
NVIDIA Clara Genomics offers the AtacWorks toolkit for the development of AI-assisted workflows to reduce sequencing costs, improve data quality, and increase the resolution of single-cell epigenomics.