Advance Medicine and Research with AI

Healthcare demands new computing paradigms to meet the need for personalized medicine, next-generation clinics, enhanced quality of care, and breakthroughs in biomedical research to treat disease. With NVIDIA, healthcare institutions can harness the power of artificial intelligence and high-performance computing (HPC) to define the future of medicine.

Latest Healthcare News

Federated Learning NVIDIA FLARE

Federated Learning with NVIDIA FLARE

New open-source software provides a common computing foundation for federated learning, accelerating AI in industries, including healthcare, manufacturing, and financial services.

NVIDIA AI Enterprise Helps Researchers, Hospitals

NVIDIA AI Enterprise Helps Researchers, Hospitals Targeting Cancer Hit the Mark

The Netherlands Cancer Institute and healthcare companies Vyasa and iCAD are among the first to fast-track end-to-end AI workloads with the NVIDIA software suite.

 NVIDIA Clara Holoscan Medical Devices

Bringing Real-Time Sensing to Medical Instruments

Clara Holoscan lets developers build applications that process multimodality sensor data, run physics-based models, accelerate AI inference and render high-quality graphics in real time.

Powering Healthcare Solutions With Accelerated Computing

Drug Discovery

With accelerated computing, researchers can virtually model millions of molecules and screen hundreds of potential drugs at a time, reducing costs and speeding time to solution.


Using HPC to accelerate genome analysis in population and cancer genomic studies can help identify rare diseases and bring tailored therapeutics to market faster, advancing the journey to precision medicine.

Medical Imaging

AI-powered tools can be an extra set of “eyes,” helping clinicians to quickly read images, calculate measurements, monitor changes, and identify urgent findings to optimize workflows and enhance patient care.

Smart Hospitals and Medical Instruments

From smart sensors to medical instruments that support real-time, advanced image processing, AI at the edge can deliver immediate insights, optimizing patient care and realizing the promise of smart hospitals.

Cambridge-1: Accelerating Health Research

Cambridge-1 is the first supercomputer NVIDIA has dedicated to advancing digital biology, genomics, quantum computing and AI research in the UK., empowering leading UK scientists and researchers to collaborate on groundbreaking science.

Trailblazing AI Healthcare Startups

AI healthcare startups are vital to pushing the boundaries of health innovation. NVIDIA Inception nurtures over 1,000 healthcare startups developing cutting-edge, GPU-based tools to optimize operations, enhance diagnostics, and elevate patient care. Learn more about the groundbreaking technology being developed by healthcare startups by clicking on the logos below.

Taking AI to Market

Taking AI to Market

With another $28 million in recent funding, Arterys will further develop their ecosystem of partners and clinical-grade AI solutions on their AI web platform, Arterys Marketplace, bridging the gap between medical researchers and clinicians.

Startup’s Sensors Keep Hospitals Safe

Startup’s Sensors Keep Hospitals Safe

With 800 GPU-powered cameras deployed across Northwestern’s 10 hospitals, Artisight aids hospital staff in conducting remote thermal screenings, limiting staff exposure to COVID-19.

AI Helps Triage Patients with COVID-19 Symptoms

AI Helps Triage Patients with COVID-19 Symptoms

AI startup Lunit and their CE-marked solution, Lunit INSIGHT CXR, uses AI to quickly detect 10 different radiological findings on chest x-rays, including pneumonia, often present in COVID-19 patients, and potentially cancerous lung nodules in seconds.

Healthcare Computing from Data Center to Edge to Cloud

Powerful Computing for Data Centers

Powerful Computing for Data Centers

Built with NVIDIA A100 Tensor Core GPUs, NVIDIA DGX™ A100 delivers unprecedented compute performance to aid the discovery of new drugs, uncover genetic mutations to better fight disease, and drive healthcare innovation. Combined with access to experts and easy-to-deploy infrastructure, NVIDIA DGX A100 is the foundational building block in constructing AI data centers.

 Watch Webinar: DGX A100—The Universal AI System for Healthcare Workloads

Real-Time AI at the Edge

Real-Time AI at the Edge

NVIDIA’s edge solutions are designed to gather and compute continuous streams of data at the network’s edge. With advanced image, video, and signal processing, AI-embedded medical instruments can aid surgeons in performing less invasive, more targeted surgeries, radiologists in determining diagnoses, and sonographers in performing fast and accurate echocardiograms. Bring healthcare to the edge with the NVIDIA EGX platform.

AI-Ready Hospital Data Center

AI-Ready Hospital Data Center

The AI Enterprise-Ready Platform from NVIDIA and VMware offers a full-stack architecture for today’s converging solutions. Built for resilience and scale, it provides a single platform for both core hospital applications and AI tools, helping deliver a better experience to clinicians and the patients they serve.

 Read Solution Brief: NVIDIA AI Enterprise for Healthcare

On-Demand Cloud Computing

On-Demand Cloud Computing

The latest NVIDIA GPUs are available through all major cloud platforms worldwide. With simplified IT management, compute that can be increased or reduced as needed,  and access to NGC™, a hub of GPU-optimized software for deep learning, machine learning, and HPC, organizations can focus on building solutions, gathering insights, and delivering business value.

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