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 0.2] [Parabricks 3.8]

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

Access open source developer tools to accelerate every stage of medical imaging workflows, including AI-assisted annotation, pre-trained models, and reference applications.

NVIDIA Clara Imaging

NVIDIA Clara Imaging is an application framework that accelerates the development and deployment of AI in medical imaging.


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


NVIDIA FLARE™ (NVIDIA Federated Learning Application Runtime Environment) is a domain-agnostic, open source, and extensible SDK for federated learning.

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.

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.

NVIDIA Clara Developer Kits

Capable of high-speed input/output (IO) processing, accelerated image reconstruction, scalable AI inferencing, and 3D visualization, NVIDIA Clara AGX Developer Kit and Holoscan Developer Kit offer domain-optimized systems for AI-enabled devices.

NVIDIA Holoscan Distributors

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

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.

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.


MegaMolBART is a model that understands chemistry and can be used for a variety of cheminformatics applications in drug discovery. The embeddings from its encoder can be used as features for predictive models. Alternatively, the encoder and decoder can be used together to generate novel molecules by sampling the model's latent space.

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

NVIDIA Clara Parabricks

From FASTQ to Binary Alignment Map (BAM) to Variant Call Format (VCF), NVIDIA Clara™ Parabricks accelerates genomic analysis with a suite of over 50 tools for genomics researchers. Start a free 90-day trial.

Browse by Resource Type


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.


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


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


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


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


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


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.


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.


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


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


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


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


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


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™ 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 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

Accelerated Computing Holds the Key to Democratized Drug Discovery

June 24, 2022

Accelerated Computing Holds the Key to Democratized Drug Discovery

Novel Transformer Model Achieves State-of-the-Art Benchmarks in 3D Medical Image Analysis

June 22, 2022

Novel Transformer Model Achieves State-of-the-Art Benchmarks in 3D Medical Image Analysis

Boost AI Medical Device Streaming Workflows with the Clara Holoscan SDK

June 17, 2022

Boost AI Medical Device Streaming Workflows with the Clara Holoscan SDK

Scale Cancer Genome Sequencing Analysis and Variant Annotation Using NVIDIA Clara Parabricks 3.8

June 6, 2022

Scale Cancer Genome Sequencing Analysis and Variant Annotation Using NVIDIA Clara Parabricks 3.8


Developer Resources

The NVIDIA Developer Program provides the advanced tools and training needed to successfully build applications on all NVIDIA technology platforms. This includes access to hundreds of SDKs, a network of like-minded developers through our community forums, and more.

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Technical Training

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.


Startup Acceleration

NVIDIA Inception—an acceleration platform for AI, data science, and high performance computing (HPC) startups—helps over 7,000 budding businesses worldwide with go-to-market support, expertise, and technology. Startups get access to training through the DLI, preferred pricing on hardware, and invitations to exclusive networking events.

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