AI for Healthcare and Life Sciences

Open-source tools, pretrained models, and GPU-accelerated pipelines for drug discovery, healthcare robotics, medical imaging, genomics, and digital health.

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NVIDIA Guide to Healthcare and Life Sciences

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Platforms

NVIDIA AI Platforms for Healthcare and Life Sciences

Explore open-source tools, APIs, frameworks, and SDKs designed for healthcare and life sciences developers, as well as documentation and community support.

BioNeMo

NVIDIA BioNeMo™ is the development platform for AI-driven biology and drug discovery.

The platform includes open models, libraries, datasets, and NVIDIA NIM™ microservices for the entire AI lifecycle, enabling researchers and developers to build, customize, and deploy AI applications that drive the next experiment.

Use Cases: biofoundation model building, molecular design, virtual screening, protein structure prediction, protein binder design

2x faster biofoundation model training
6x faster model inference
Three model acceleration recipes

Models & Libraries Recipes & Toolkits NIM Microservices

NVIDIA NeMo™ | NVIDIA® TensorRT™ LLM | NVIDIA Dynamo

Nemotron

NVIDIA Nemotron™ is the foundation for digital health AI.

Nemotron offers optimized open models with open weights, training data, and recipes for advanced reasoning, coding, visual understanding, agentic tasks, safety, speech, and information retrieval, delivering leading efficiency and accuracy for building specialized AI agents.

Use Cases: ambient healthcare agents, deep clinical research agents

Open models for visual understanding, information retrieval, speech, and safety
Five use case examples
16 cookbooks on how to deploy and use the models

Explore Models Tutorials Forums

NVIDIA Omniverse™ | TensorRT | NVIDIA Holoscan

Isaac for Healthcare

NVIDIA Isaac™ is a robotics and simulation platform.

This healthcare robotics developer platform is centered on simulation and synthetic data, enabling design, validation, and runtime deployment. Based on NVIDIA’s training–simulation–runtime architecture, it connects AI development directly to deployment on edge robotic systems.

Use Cases: hospital automation, teleoperation, autonomous ultrasound, surgical autonomy

Synthetic data generation pipelines for anatomy, procedural variation, hospital environments, and patient interaction
Sensor simulation pipelines for endoscopy, ultrasound, CT imaging, and multimodal sensor fusion

GitHub Workflows Documentation

Python | PyTorch | NumPy

MONAI

MONAI is the open medical imaging AI framework.

This open-source, PyTorch-based medical imaging AI framework brings together domain-optimized data loaders, rich transformers, and 50+ high-quality pretrained models to streamline everything from 2D and 3D segmentation and registration to reporting and multimodal workflows.

Use Cases: medical imaging model training, medical imaging segmentation and annotation

Over 8 million downloads and over 4,000 projects
Multimodal, integrating imaging, text, and agentic AI for radiology, surgery, and pathology workflows across images and clinical documentation
20 medical imaging challenges won

GitHub Website

C++ | Python | GXF | TensorRT

Holoscan SDK

The NVIDIA Holoscan SDK is a runtime for physical AI and sensor processing.

Holoscan is a real-time runtime for building GPU-accelerated systems that ingest high-bandwidth, multimodal, multi-rate sensor data, perform AI reasoning, and drive deterministic real-world actions. With a graph-based execution engine and accelerated input and output (IO), Holoscan scales from NVIDIA Jetson Nano™ to DGX™.

Use Cases: real-time robotics and autonomous machines, AI raw-data-to-insights for medical devices, deterministic edge AI deployment

Scale to tens or hundreds of gigabits per second (Gb/s) without extensive system optimizations
Accelerated IO directly into GPU memory with ready-to-use, advanced network operators, NVIDIA Rivermax®, and Holoscan Sensor Bridge
10 minutes to inference with domain accelerator examples

Download Examples Documentation

CUDA | Docker

Parabricks

NVIDIA Parabricks® enables GPU-accelerated genomics.

This scalable genomics software suite for secondary analysis offers GPU-accelerated implementations of BWA-MEM, GATK, and DeepVariant for whole-genome and exome workflows.

Use Cases: cancer and rare diseases, NICU and critical care, population studies, research

Over 100x faster analysis of whole genome sequencing (WGS)
50 percent lower compute cost for WGS
23 accelerated tools and six pipelines

Download Documentation

NVIDIA AI Infrastructure

Tools for Every Stage of AI Development and Deployment

Integrated, domain-specific platforms combine AI models, tools, and infrastructure to accelerate healthcare and life sciences workloads, from data ingestion to deployment.

Explore NVIDIA AI Infrastructure

Datasets

Curated, domain-specific, open source datasets to kickstart model development.

Libraries

Prebuilt CUDA-X™ libraries for math, deep learning, data processing, image, video, and more.

Training

Hardware-optimized libraries, training recipes, frameworks, and orchestration platforms.

AI Models

Open source AI models for biomedical research across omics, protein and molecule structures, medical imaging, 3D anatomy, surgical robotics, and digital twins for physics-informed simulation.

Deployment

Tools for optimizing performance, scaling inference workloads, and deploying across cloud, on-prem, and edge environments.

NVIDIA Blackwell Architecture

The engine behind AI factories for the age of AI reasoning.

The architecture centers on a dual-die design that packs 208 billion transistors into a unified package capable of 10 terabytes per second (TB/s) of GPU bandwidth. Its Transformer Engine supports FP4 precision, effectively doubling performance and capacity for generative AI workloads. Massive-scale deployments are handled through NVIDIA NVLink™ and NVSwitch™, delivering 1.8 TB/s per GPU and 130 TB/s of aggregate bandwidth for trillion-parameter models. A dedicated Decompression Engine offloads data-intensive analytics tasks from the CPU, while AI-driven remote access service (RAS) monitoring and a first-of-its-kind trusted execution environment (TEE)-capable GPU round out the platform with enterprise-grade reliability and confidential computing support.

View NVIDIA Blackwell Products

NVIDIA Programs

Learn and Grow Your Business With NVIDIA Programs

Join our ecosystem of startups, partners, and developers building healthcare and life sciences platforms and applications.

NVIDIA Inception

Inception is a free program that guides AI startups through the diverse NVIDIA platforms and ecosystems. From prototype to production, Inception meets each startup where they are, with member benefits to help them discover new AI opportunities, build with world-class technologies, and grow their business.

GPU credits and cloud resources
Go-to-market support
Investor connections

Apply to NVIDIA Inception

NVIDIA Connect

NVIDIA Connect is a free program that helps software development companies and service providers shorten time to market through tailored development resources, technical training and guidance, and preferred pricing on NVIDIA technologies.

Members-only opportunities in generative AI, computer vision, and deep learning
Free self-paced courses and discounted workshops on AI and accelerated applications
Preferred pricing to eligible members on NVIDIA hardware and software

Apply to NVIDIA Connect

NVIDIA Deep Learning Institute

The NVIDIA Deep Learning Institute (DLI) offers technical training from NVIDIA, so developers and researchers can gain in-demand skills, hands-on experience, and expert knowledge in AI, data science, accelerated computing, and more.

Self-paced online courses
Instructor-led workshops
Professional certifications

Find DLI Trainings

Success Stories

What Industry Leaders Are Saying About NVIDIA Platforms for Healthcare and Life Sciences

NVIDIA Partners for Healthcare

Our solutions for the healthcare industry go beyond products. Our partners are here to assist your organization at every level to build and execute transformative AI strategies, products, and services.

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NVIDIA Newsroom

Explore the Latest News in Healthcare and Life Sciences

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