Supporting Healthcare AI Development, Research, and Innovation

A hub of technical resources, news, and SDKs for developers and data scientists working in the Healthcare & Life Sciences industry.

New Releases: [Holoscan SDK 0.3] [Parabricks 4.0]

What is NVIDIA Clara?

NVIDIA Clara™ is a platform of AI applications and accelerated frameworks for healthcare developers, researchers, and medical device makers creating AI solutions to improve healthcare delivery and accelerate drug discovery. Clara’s domain-specific tools, AI pre-trained models, and accelerated applications are enabling AI breakthroughs in numerous fields, including genomics, natural language processing (NLP), imaging, medical devices, drug discovery, and smart hospitals.

Build with NVIDIA Clara




NVIDIA Clara™ Holoscan is the AI computing platform for medical devices that combines hardware systems for low-latency sensor and network connectivity, optimized libraries for data processing and AI, and core microservices to run streaming, imaging, and other applications—from embedded to edge to cloud.



MONAI

Project MONAI is a domain-optimized, PyTorch-based open source framework to aid researchers developing AI in healthcare.


NVIDIA Clara Holoscan SDK

The NVIDIA Clara Holoscan SDK includes healthcare-specific acceleration libraries, pre-trained AI models, and reference applications for computational medical devices.


NNVIDIA Holoscan Distributors

Find a Clara Holoscan distributor for your region and needs or learn about ecosystem partners providing Clara Holoscan-compatible products.

Learn and Explore


  • Playlist: MONAI Bootcamp
  • GTC Session: Clara Holoscan Overview
  • Demos: Clara Holoscan

  • Build and Scale


  • Github: Project MONAI
  • NVIDIA NGC™ Collection: Clara Holoscan
  • User Guide: Clara Holoscan SDK User Guide
  • Developer Forum: Clara Holoscan SDK
  • Reference Architecture: Endoscopy
  • Notebook: Medical Image Segmentation


  • Access application frameworks for building smart hospital applications to improve patient care, increase operational efficiency, and accelerate medical imaging workflows.


    NVIDIA Clara Guardian Collection

    NVIDIA Clara™ Guardian simplifies the development and deployment of smart sensors with a diverse set of pre-trained models, reference applications, and fleet management solutions.

    Learn and Explore


  • Demo: NVIDIA Clara Guardian Virtual Patient Assistant
  • Whitepaper: Buyer’s Guide for Smart Hospitals

  • Build and Scale


  • NGC Collection:Clara Guardian
  • Product Page: NVIDIA Fleet Command™
  • Notebook: Face Mask Detection


  • Access frameworks, applications, and AI models in genomics, proteomics, microscopy, virtual screening, computational chemistry, visualization, clinical imaging, and natural language processing.


    NVIDIA Clara Discovery Collection

    NVIDIA Clara™ Discovery enables GPU-accelerated computational drug discovery with a growing collection of frameworks, applications, and AI models that can be applied across the drug discovery process.


    BioNeMo

    BioNeMo is an application framework and cloud service built on NeMo Megatron for training and deploying large biomolecular transformer AI models at supercomputing scale. The framework comes with pre-trained large language models and is tailored to the language of proteins, DNA, and SMILES. Apply for early access.



    Harness accelerated applications for somatic, germline, and structural variant workflows to streamline whole genome, exome, RNA, and cancer sequencing.


    NVIDIA Clara Parabricks

    NVIDIA Clara™ Parabricks provides GPU-accelerated versions of tools used every day by computational biologists and bioinformaticians - enabling significantly faster runtimes, workflow scalability, and lower compute costs. Download Parabricks for Free.

    Learn and Explore


  • GTC Session: Accelerating Genomics Workflows using Parabricks

  • Build and Scale


  • NVIDIA NGC™ Collection: Clara Parabricks
  • Notebook: Single Cell Analysis
  • Github: Clara Parabricks
  • Developer Forum: Clara Parabricks
  • Docs: Clara Parabricks Documentation
  • Browse by Resource Type



    NVIDIA cuDNN

    The NVIDIA® CUDA® Deep Neural Network library (cuDNN) is a GPU-accelerated library of primitives for deep neural networks. cuDNN provides highly tuned implementations for standard routines such as forward and backward convolution, pooling, normalization, and activation layers.


    NVIDIA DALI

    The NVIDIA Data Loading Library (NVIDIA DALI®) is a portable, open source library for decoding and augmenting images and videos to accelerate deep learning applications in healthcare. DALI reduces latency and training time, mitigating bottlenecks, by overlapping training and pre-processing.


    NVIDIA FLARE

    NVIDIA FLARE (NVIDIA Federated Learning Application Runtime Environment) is an open source federated learning SDK for distributed, multi-party privacy-preserving collaborative projects.


    NVIDIA MERLIN

    NVIDIA Merlin™ is an open source framework for building large-scale deep learning recommender systems.


    MONAI

    Project MONAI is a domain-optimized, PyTorch-based open source framework to aid researchers developing AI in healthcare.


    RAPIDS

    RAPIDS is a suite of software libraries that enables end-to-end data science and analytics pipelines that provide compute optimization with parallelism and memory speed.


    NVIDIA TAO

    NVIDIA TAO enables enterprise app developers to fine-tune pretrained models with custom data to produce highly accurate models


    NVIDIA TRITON

    NVIDIA Triton™ Inference Server is open source inference serving software that helps standardize model deployment and execution, and delivers fast and scalable AI in production.


    NVIDIA TensorRT

    NVIDIA TensorRT™ is an open source platform for high-performance deep learning inference, which includes an inference optimizer and runtime that delivers low latency and high throughput for healthcare applications.



    CUCIM

    CUCIM is an extensible toolkit that provides GPU-accelerated I/O, computer vision, and image processing primitives for N-Dimensional images.


    NVIDIA DeepStream SDK

    NVIDIA DeepStream SDK enables the rapid development and deployment of Vision AI applications and services with a multi-platform scalable, encrypted security solution that can be deployed anywhere.


    NVJpeg

    The nvJPEG library provides low-latency decoding, encoding, and transcoding for common JPEG formats used in computer vision applications, such as image classification, object detection, and image segmentation.



    Pull GROMACS

    GROMACS is a molecular dynamics application designed to simulate Newtonian equations of motion for systems with hundreds to millions of particles.


    Pull LAMMPS

    Large-Scale Atomic/Molecular Massively Parallel Simulator (LAMMPS) is a software application designed for molecular dynamics simulations.


    Pull NAMD

    Nanoscale Molecular Dynamics (NAMD) is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems.


    NVIDIA ISAAC SDK

    The NVIDIA Isaac SDK™ is a toolkit that includes building blocks and tools that accelerate robot developments that require the increased perception and navigation features enabled by AI.


    NVIDIA OMNIVERSE

    NVIDIA Omniverse™ is an extensible, open platform built for virtual collaboration and real-time physically accurate simulation



    NVIDIA NeMo

    NVIDIA NeMo™ is an open source framework for developers to build and train state-of-the-art conversational AI models.


    NVIDIA RIVA

    NVIDIA® Riva is a GPU-accelerated SDK for building speech AI applications that are customized for healthcare use cases and deliver real-time performance.


    BioMegatron & GatorTron

    BioMegatron is a state-of-the-art biomedical language model pre-trained on billions of words of PubMed abstracts and full text documents with its own custom biomedical vocabulary. Similarly, Gatortron is a state-of-the-art Megatron model pre-trained on de-identified clinical notes at the University of Florida Health System and includes a large clinical domain vocabulary.



    NVIDIA GRID

    NVIDIA GRID™ Virtual PC (GRID vPC) and Virtual Apps (GRID vApps) are virtualization solutions that deliver a user experience that’s nearly indistinguishable from a native PC. With server-side graphics and comprehensive management and monitoring capabilities, GRID future-proofs the virtual desktop infrastructure (VDI) environment.


    NVIDIA vGPU

    NVIDIA virtual GPU (vGPU) technology uses the power of NVIDIA GPUs and NVIDIA virtual GPU software products to offer a consistent user experience for every virtual workflow.


    NVIDIA Quadro Virtual Workstation

    With workloads becoming increasingly compute-intensive, and a constantly growing need for mobility and collaboration, more workloads are being migrated to the cloud. Cloud-based workstations, paired with traditional on-premises infrastructure, give an enterprise the flexibility and business agility to stay competitive.


    Healthcare News and Blogs

    What Is a Smart Hospital?

    December 2, 2022

    What Is a Smart Hospital?

    Taking AI into Clinical Production with MONAI Deploy

    November 28, 2022

    Taking AI into Clinical Production with MONAI Deploy

    Deploying AI-Accelerated Medical Devices with NVIDIA Clara Holoscan

    November 15, 2022

    Deploying AI-Accelerated Medical Devices with NVIDIA Clara Holoscan

    New Research Highlights Speed and Cost Savings of NVIDIA Clara Parabricks for Genomic Analyses

    November 3, 2022

    New Research Highlights Speed and Cost Savings of NVIDIA Clara Parabricks for Genomic Analyses

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    NVIDIA Deep Learning Institute (DLI) offers hands-on training in AI, accelerated computing, and accelerated data science to solve real-world problems. Powered by GPUs in the cloud, training is available as self-paced, online courses or live, instructor-led workshops.

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