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NVIDIA Professional Graphics For Healthcare

Transforming Healthcare to Transform Lives

From medical imaging to analyzing genomes to discovering new drugs, the entire healthcare industry is in a state of transformation, and GPU computing is catalyzing these changes. GPU-accelerated applications and systems are delivering new efficiencies and possibilities, empowering physicians, clinicians, and researchers passionate about improving the lives of others to do their best work.

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Accelerating Science and Medical Imaging with NVIDIA GPUs


Researchers and medical professionals count on the unmatched performance and innovative capabilities of NVIDIA® professional graphics and data center GPUs to tackle even the most demanding life sciences, clinical visual computing and High Performance Computing (HPC) tasks with ease. Built to mission-critical quality standards and offering long lifecycle availability - a key advantage in regulated products and environments - NVIDIA data center, desktop and embedded GPU solutions provide the visual and compute performance required for the world's most sophisticated medical diagnostic systems, bioinformatics workstations, or basic research across the full portfolio of life sciences disciplines.

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NVIDIA Clara – Augmenting Radiology

Clara Targets Echocardiograms

Reducing The Time From Microscopy to Insights with GPU Accelerated Analytics

ON-DEMAND WEBINAR HOW NVIDIA RTX IS CHANGING HEALTHCARE

Real-Time Ray Tracing Powers Design Visualization

As we are dealing with the ongoing Pandemic, the role of technology in the Healthcare industry has become even more important. NVIDIA continues to play a key role in developing solutions, to make technology adoption faster and easier for the Healthcare industry. We will talk about NVIDIA's Healthcare solutions and how they are being adopted to improve efficiency and accuracy in Healthcare workflows.

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NVIDIA RTX A6000

The NVIDIA GPU Advantage

NVIDIA GPUs use parallel processing techniques to break down complex visual computing problems such as interpretation and visualizing the raw sensor data provided by CT, ultrasound, MRI and PET scans into many smaller tasks that run simultaneously (in parallel). Where contemporary CPUs have anywhere from 2 to 22 cores, NVIDIA GPUs suitable for life sciences or medical use offer anywhere from 640 to 5120 CUDA Cores - and NVIDIA RTX™ enabled GPUs include Tensor Cores optimized for AI (Deep learning) and RT Cores designed for real-time photorealistic 3D visualization. The massive core count advantage allows GPUs to run vital tasks in parallel at far greater speed than any conceivable CPU can offer, across a broad spectrum of medical imaging technologies and life sciences research applications. With their large on-board GPU memory capacity and rigorously optimized and tested software drivers, NVIDIA GPUs are the engines that power the world's most sophisticated medical imaging solutions. These same powerful features also make them ideal for many essential life science research applications necessary to enable breakthroughs in basic research or speeding the drug discovery and development process.

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INTRODUCING THE NEW PRO GPU CONFIGURATOR

Let us help you find the right NVIDIA Professional Graphics and Data Center Solution to meet your needs and boost your productivity.

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Man Interacting with Digital Brain in Virtual Reality Headset

NVIDIA GPU Innovation

Today, NVIDIA continues to innovate across an even broader range of technologies critical to the future of healthcare. These include everything from helping doctors deliver more accurate diagnosis with AI, optimizing patient dosage, analysing massive cohort studies with deep learning, and empowering medical imaging system providers and healthcare software developers to deliver higher productivity solutions. GPUs also enable AR or VR assisted robotic surgery, bring sophisticated AI-based diagnostic tools to mobile devices, and accelerate time from insight to discovery and drug development, and regulatory approval.

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Enabling Next Generation Healthcare Solutions

NVIDIA GPUs offer the graphics and compute performance required to deliver state of the art medical imaging systems and drive ultra-high-resolutions and HDR (High Dynamic Range) clinician workstation displays along with the ability to deliver AR (Augmented Reality) and VR (Virtual Reality) solutions in even the most closely controlled regulatory environments.

Deep Learning, a form of AI (Artificial Intelligence), is profoundly changing the way basic research, clinical diagnoses, and externalities such as lifestyle differences, personal genomic variation, and age (among other factors) guide treatment options and produce the best patient outcome. Select NVIDIA Graphics boards, such as the RTX series, offer dedicated Tensor cores that are optimized for the training required to develop Deep Learning systems based on DNN (Deep Neural Network) techniques, and deliver the inferencing performance required to deliver timely results.

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  NVIDIA CLARA AGX

Clara AGX is purpose-built for medical instruments that require advanced computation to support signal processing, reconstruction, real-time image processing, and advanced visualization.

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NVIDIA RTX Ampere

NVIDIA RTX featuring enhanced real-time ray tracing, accelerated AI, and advanced graphics and compute capabilities, NVIDIA RTX built on the NVIDIA Ampere architecture enables artists, designers, engineers, and scientists to create tomorrow, today.

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THE POWER TO DELIVER AI-Accelerated Healthcare

Deep Learning (Artificial Intelligence) Game Changer for Healthcare Industry

Deep Learning is being adopted in clinical research and clinical decision making. AI is being utilized in many situations to improve clinician accuracy and most importantly improved patient outcomes. Deep learning relies on GPU acceleration, for training (development) and inferencing (decision making) of Deep Neural Networks, and NVIDIA professional GPUs implement AI-specific Tensor cores necessary to power the next generation of AI/Deep learning applications with the performance, reliability and scalability you need.

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NVIDIA Embedded Solutions

NVIDIA embedded GPU solutions are designed for incredible performance and power efficiency while meeting the highest quality and reliability standards.

Every NVIDIA graphics board is designed, built and tested by NVIDIA to the mission-critical quality standards demanded by healthcare solution and systems providers. In addition to traditional PCIe (expansion slot) form factor products, PNY and NVIDIA can offer NVIDIA GPUs in MXM form factor offerings that are ideal for embedded solutions.

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AR and VR Transforming Healthcare

Applications like surgical simulation, diagnostic imaging, patient care management, rehabilitation, and health/lifestyle management are bringing advanced augmented and virtual reality to the healthcare market. Teaching medical professionals and students using AR or rehearsing complex surgical procedures in virtual environments are completely changing the way VR is being used to teach and practice healthcare. Virtual Reality creation and consumption requires the highest-performance graphics to deliver the smoothest, most immersive and life-like VR experiences. Only VR Ready NVIDIA graphics boards have the level of performance and capabilities essential for the best possible VR experiences across professional applications.

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LATEST ADVANCES IN HEALTHCARE

Deep Learning's Journey in Healthcare

Global efforts to improve healthcare outcomes require innovation such as AI and Deep Learning. See how deep learning is augmenting clinical decision making—from improving the timeliness and accuracy of diagnoses to informing the treatment of diseases and predicting future hospitalizations.

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Keys to a Smarter Future: AI in Healthcare

Properly managed, AI can help automate the most mundane and repetitive tasks, enabling physicians and providers to focus on their goal: more time on patient care. This whitepaper discusses the adoption of AI, and outlines the challenges and promise of AI in healthcare.

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Enhancing Diagnostic Quality & Productivity With AI

Whether a diagnostician, radiologist, or oncologist, a significant part of the life of a physician is spent examining images and writing reports about them. Through imaging analysis, AI-based systems can help automate this process to help reduce their workloads.

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