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What is NVIDIA DeepStream SDK?

NVIDIA's DeepStream SDK is a powerful toolkit designed for streaming analytics, utilizing GStreamer to enable AI-enhanced processing across a multitude of sensors that encompass video, audio, and image data. This SDK allows developers to build sophisticated stream-processing pipelines that effectively incorporate neural networks along with advanced features such as tracking, video encoding and decoding, and rendering, thus facilitating real-time analysis of varied data formats. DeepStream is integral to NVIDIA Metropolis, a holistic platform that transforms pixel and sensor data into actionable insights. It offers a flexible and responsive environment tailored to a range of industries, supporting numerous programming languages including C/C++, Python, and an intuitive UI via Graph Composer. By facilitating immediate understanding of intricate, multi-modal sensor information at the edge, it not only boosts operational efficiency but also provides managed AI services deployable in cloud-native containers orchestrated by Kubernetes. As a result, with the growing dependence on AI for informed decision-making, the functionalities of DeepStream become increasingly critical in maximizing the potential of sensor data. Moreover, the continuous evolution of the SDK ensures that it remains at the forefront of technological advancements, adapting to the changing needs of various sectors.

What is NVIDIA DRIVE?

The integration of software transforms a vehicle into an intelligent machine, with the NVIDIA DRIVE™ Software stack acting as an open platform that empowers developers to design and deploy a diverse array of advanced applications for autonomous vehicles, including functions such as perception, localization and mapping, planning and control, driver monitoring, and natural language processing. Central to this software ecosystem is DRIVE OS, hailed as the inaugural operating system specifically engineered for secure accelerated computing. This robust system leverages NvMedia for sensor input processing, NVIDIA CUDA® libraries to enable effective parallel computing, and NVIDIA TensorRT™ for real-time AI inference, along with a variety of tools and modules that unlock hardware capabilities. Building on the foundation of DRIVE OS, the NVIDIA DriveWorks® SDK provides crucial middleware functionalities essential for the advancement of autonomous vehicles. Key features of this SDK include a sensor abstraction layer (SAL), multiple sensor plugins, a data recording system, vehicle I/O support, and a framework for deep neural networks (DNN), all of which are integral to improving the performance and dependability of autonomous systems. By harnessing these powerful resources, developers find themselves better prepared to explore innovative solutions and expand the horizons of automated transportation, fostering a future where smart vehicles can navigate complex environments with greater autonomy and safety.

Media

Media

Integrations Supported

NVIDIA TensorRT

Integrations Supported

NVIDIA TensorRT
APIPark
Armada.ai
Autogon
Celantur
Cerbrec Graphbook
Cisco Kinetic
Cognata
Cognite
Deepgram
E2E Cloud
FriendliAI
Google Medical Imaging Suite
MORAI
Netris
Photon Commerce
Polargrid
QumulusAI
Swarm
vLLM

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Windows
Linux

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Not specified

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

developer.nvidia.com/deepstream-sdk

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

www.nvidia.com/en-us/self-driving-cars/drive-platform/software/

Categories and Features

AI SDKs

Not specified

Deep Learning

Not specified

Categories and Features

Autonomous Driving

Not specified

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