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What is NVIDIA Holoscan?

The NVIDIA® Holoscan platform serves as a highly adaptable AI computing solution, offering a robust infrastructure designed for the accelerated and real-time processing of streaming data, whether at the edge or within cloud environments. With capabilities for video capture and data acquisition through support for serial interfaces and a variety of front-end sensors, it proves valuable for applications like ultrasound research and the integration of legacy medical devices. Users can take advantage of the data transfer latency tool included in the NVIDIA Holoscan SDK, which provides precise insights into the end-to-end latency linked to video processing tasks. Furthermore, the platform includes AI reference pipelines tailored for various applications such as radar, high-energy light sources, endoscopy, and ultrasound, thereby addressing a wide spectrum of streaming video requirements. Equipped with specialized libraries, NVIDIA Holoscan enhances network connectivity, data processing efficiency, and AI features, while also offering practical examples to assist developers in crafting and deploying low-latency data-streaming applications using C++, Python, or Graph Composer. This powerful toolset allows users to achieve seamless integration, ensuring optimal performance across multiple domains while fostering innovation in their respective fields. Overall, NVIDIA Holoscan stands out as a comprehensive solution that meets the diverse demands of modern data processing and AI applications.

What is Butterfly?

The Butterfly iQ+ has been meticulously crafted to streamline the ultrasound process. Users can connect it to either an iOS or Android app, allowing them to quickly choose from 22 presets with a simple swipe of a finger, thus enabling instant scanning. Powered by our innovative Ultrasound-on-Chipâ„¢ technology, this device pushes the limits of traditional ultrasound methods. It features patented on-chip digital micro-beamforming, which enables frame rates that are 15% faster and pulse repetition frequencies that are 60% quicker than conventional systems. Additionally, its 1.75D array beamforming is designed to reduce elevation beamwidth by an impressive 85%. This device employs a state-of-the-art low-noise, low-power semiconductor process, along with optimized electronics and a power-efficient FPGA, ensuring top-notch performance. Users can simply connect it to their mobile devices and begin scanning immediately, all while benefiting from Butterfly Education resources. The vivid color representation provided by the iQ+ allows for precise illustrations of hemodynamic flow, giving healthcare professionals the clarity they need. As the only device in the world utilizing Ultrasound-on-Chipâ„¢ technology, it helps users efficiently detect A lines, B lines, and pleural irregularities, leading to faster and more accurate diagnostic results. This extraordinary tool not only improves scanning efficiency but also significantly enhances the standard of patient care. It stands out as a revolutionary advancement in medical imaging, making ultrasound more accessible and effective for practitioners everywhere.

Media

Media

Integrations Supported

C++
NVIDIA Clara
Python

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

$420 per year

Supported Platforms

SaaS
Linux

Supported Platforms

iPhone
iPad

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

developer.nvidia.com/holoscan-sdk

Company Facts

Organization Name

Butterfly Networks

Company Location

United States

Company Website

www.butterflynetwork.com/health-systems

Categories and Features

Ultrasound

Not specified

Categories and Features

Healthcare AI

Not specified

Medical Imaging

Not specified

Ultrasound

Not specified

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