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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 NVIDIA DOCA?

NVIDIA DOCA is a robust platform designed to maximize the capabilities of NVIDIA BlueField DPUs and NVIDIA ConnectX SuperNICs, particularly for agentic AI environments. It presents a comprehensive collection of SDKs, libraries, production-ready microservices, drivers, management utilities, and orchestration frameworks that streamline the development and oversight of accelerated infrastructure services, which include networking, AI-focused storage, cybersecurity, observability, and lifecycle management. By leveraging DOCA, developers can effectively offload, accelerate, and isolate infrastructure tasks, allowing host computing resources to be freed up for a variety of AI services and applications. The networking features encompass virtual switching, packet processing, multi-tenant isolation, sophisticated traffic management, RDMA acceleration, and software-defined networking functionalities. In the realm of storage, DOCA is equipped to handle KV cache infrastructure, NVMe over Fabrics, storage virtualization, and software-defined storage services, promoting a seamless integration of various storage solutions. Furthermore, the utilization of DOCA not only boosts operational efficiency but also enhances the flexibility required for managing sophisticated infrastructure. This adaptability is crucial as organizations increasingly rely on advanced technology to meet their dynamic operational demands.

Media

Media

Integrations Supported

C++
NVIDIA Clara
Python

Integrations Supported

NVIDIA Open Agent Safety Platform

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Linux

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

developer.nvidia.com/holoscan-sdk

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

www.nvidia.com/en-us/networking/products/software/doca/

Categories and Features

Ultrasound

Not specified

Categories and Features

Agentic AI

Not specified

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