The Nvidia Clara platform is an open platform designed to enable the medical industry to build and deploy breakthrough algorithms to create intelligent instruments and automate healthcare workflows. The platform, says the company, addresses the “great challenge” of medical instruments’ ability to process the massive amounts of data generated each second so it can be interpreted by doctors and scientists – a level of supercomputing that has traditionally required three computing architectures: FPGAs, CPUs, and GPUs.

“Medical imaging developers around the world are discovering numerous ways to use AI to automate workflows, make instruments run faster. and improve image quality, in addition to assisting doctors in detecting and diagnosing disease,” says Kimberly Powell, vice president of Healthcare at Nvidia. “More than 400 AI healthcare startups have launched in the past five years, and the Clara platform will be able to help them harness AI to transform healthcare workloads.”

The platform comprises the Nvidia Clara AGX computing architecture and the Clara software development kit for developers. The Clara AGX, says the company, is a “revolutionary” computing architecture based on the Nvidia Xavier AI computing module and NVIDIA Turing GPUs.

Clara AGX features a single, GPU-based architecture claimed to deliver the world’s fastest AI inferencing on Nvidia Tensor Cores, acceleration through CUDA, and state-of-the-art Nvidia RTX graphics. Its flexible design, says the company, enables it to scale from entry-level devices to the most demanding 3D instruments.

Clara also addresses a fundamental disconnect between legacy medical instruments, the company says, by enabling the installed base of instruments to connect to the latest Nvidia GPU servers through its ability to process raw instrument data. This allows the most advanced imaging applications to be run on 10-year-old instruments.

The Clara SDK provides medical-application developers with a set of GPU-accelerated libraries for computing, graphics, and AI; example applications for reconstruction, image processing, and rendering; and computational workflows for CT, MRI, and ultrasound. These all leverage containers and Kubernetes to virtualize and scale medical instrument applications for any instrument.

The NVIDIA Clara platform is available now to early access partners, with a targeted beta planned for the second quarter of 2019. Developers interested in Clara AGX can get started now with the Nvidia Jetson AGX Xavier developer kit.


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