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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 DOTS Software?

Effortlessly monitor a range of data sets and regulate process parameters with DOTS Software, which significantly improves bioprocess management. This software enables real-time observation of diverse process metrics through the Multiparameter Sensor (MPS) and offers custom management of feeding profiles via the Liquid Injection System (LIS) for your shake flask operations, all backed by intuitive tools. You can take advantage of advanced visualization and analytical capabilities that enhance your understanding and control of bioprocess activities. Capture a snapshot of your current experiment instantly and share it seamlessly with your team members. By merging both online and offline data into a unified graph using straightforward data annotation, you can obtain critical insights from multiple real-time data sets. Foster teamwork and define user permissions to improve clarity and accountability in your processes, thus enhancing collaboration significantly. With these robust features, you can ensure your bioprocessing is not only efficient but also exceptionally flexible to meet your specific requirements, making it an indispensable tool for modern bioprocessing.

Media

Media

Integrations Supported

C++
NVIDIA Clara
Python

Integrations Supported

C++
NVIDIA Clara
Python

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
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

Scientific Bioprocessing

Company Location

United States

Company Website

www.scientificbio.com/dots-software

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Categories and Features

Engineering

2D Drawing
3D Modeling
Chemical Engineering
Civil Engineering
Collaboration
Design Analysis
Design Export
Document Management
Electrical Engineering
Mechanical Engineering
Mechatronics
Presentation Tools
Structural Engineering

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