Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Qloo Reviews & Ratings
    23 Ratings
    Company Website
  • Fraud.net Reviews & Ratings
    56 Ratings
    Company Website
  • Vertex AI Reviews & Ratings
    732 Ratings
    Company Website
  • LTX Studio Reviews & Ratings
    140 Ratings
    Company Website
  • groundcover Reviews & Ratings
    32 Ratings
    Company Website
  • RunPod Reviews & Ratings
    159 Ratings
    Company Website
  • Google Cloud Speech-to-Text Reviews & Ratings
    401 Ratings
    Company Website
  • Ant Media Server Reviews & Ratings
    207 Ratings
    Company Website
  • Mentornity Reviews & Ratings
    99 Ratings
    Company Website
  • LeanData Reviews & Ratings
    1,064 Ratings
    Company Website

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 DIGITS?

The NVIDIA Deep Learning GPU Training System (DIGITS) enhances the efficiency and accessibility of deep learning for engineers and data scientists alike. By utilizing DIGITS, users can rapidly develop highly accurate deep neural networks (DNNs) for various applications, such as image classification, segmentation, and object detection. This system simplifies critical deep learning tasks, encompassing data management, neural network architecture creation, multi-GPU training, and real-time performance tracking through sophisticated visual tools, while also providing a results browser to help in model selection for deployment. The interactive design of DIGITS enables data scientists to focus on the creative aspects of model development and training rather than getting mired in programming issues. Additionally, users have the capability to train models interactively using TensorFlow and visualize the model structure through TensorBoard. Importantly, DIGITS allows for the incorporation of custom plug-ins, which makes it possible to work with specialized data formats like DICOM, often used in the realm of medical imaging. This comprehensive and user-friendly approach not only boosts productivity but also empowers engineers to harness cutting-edge deep learning methodologies effectively, paving the way for innovative solutions in various fields.

Media

Media

Integrations Supported

TensorFlow
C
C++
Caffe
Dask
Helm
Kubernetes
NVIDIA Jetson
NVIDIA Metropolis
NVIDIA TensorRT
NVIDIA Triton Inference Server
NetApp AIPod
PyTorch
Python
Torch
Unleash live

Integrations Supported

TensorFlow
C
C++
Caffe
Dask
Helm
Kubernetes
NVIDIA Jetson
NVIDIA Metropolis
NVIDIA TensorRT
NVIDIA Triton Inference Server
NetApp AIPod
PyTorch
Python
Torch
Unleash live

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/deepstream-sdk

Company Facts

Organization Name

NVIDIA DIGITS

Date Founded

1993

Company Location

United States

Company Website

developer.nvidia.com/digits

Categories and Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Categories and Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Popular Alternatives

SKY ENGINE Reviews & Ratings

SKY ENGINE

SKY ENGINE AI

Popular Alternatives

Neural Designer Reviews & Ratings

Neural Designer

Artelnics