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
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.
Python | PyTorch | CUDA® | NVIDIA Dynamo | JAX | DeepSpeed
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
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
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
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
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
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
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.
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
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
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
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
What Industry Leaders Are Saying About NVIDIA Platforms for Healthcare and Life Sciences
Biofy Accelerates Lifesaving Disease Diagnosis, Powered by NVIDIA
Droplet Biosciences Accelerates Residual Cancer Detection With NVIDIA Parabricks
Speed, Scale, and Smarter Care: RaySearch Delivers AI-Powered Oncology Breakthroughs
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.
Explore the Latest News in Healthcare and Life Sciences
Roche Scales NVIDIA AI Factories Globally to Accelerate Drug Discovery, Diagnostic Solutions and Manufacturing Breakthroughs. Roche's new deployment spans more than 3,500 NVIDIA Blackwell GPUs across its worldwide operations and embedded across the entire value chain, massively scaling R&D productivity, next-generation diagnostics and manufacturing efficiencies.
Now Live: The World’s Most Powerful AI Factory for Pharmaceutical Discovery and Development. Lilly this week launched the most powerful AI factory wholly owned and operated by a pharmaceutical company to help its teams make meaningful medical advancements faster, more accurately and at unprecedented scale.
From Radiology to Drug Discovery, Survey Reveals AI Is Delivering Clear Return on Investment in Healthcare. AI is accelerating every aspect of healthcare — from radiology and drug discovery to medical device manufacturing and new treatment methods enabled by digital twins of the human body. NVIDIA’s second annual “State of AI in Healthcare and Life Sciences” survey report reveals how the industry is moving from AI experimentation to execution, reaping return on investment.