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What is Spatialedge?

An innovative AI toolkit encompasses the SE data platform, proven methodologies, and a dedicated group of highly proficient specialists. This comprehensive toolkit not only streamlines but also accelerates the creation of customized enterprise AI solutions that yield substantial business benefits. Our knowledgeable team is ready to help you manage and unify all the data across your organization. By dismantling data silos, we transform disparate information into actionable data assets and establish robust feature stores to empower your data scientists. We will assist you in focusing on the development of the most impactful machine learning (ML) models and executing effective proof-of-concept projects to forge strong business cases. Our strategy incorporates the design of high-performance ML models that can be effortlessly deployed and integrated within your existing frameworks. Should your organization already possess a data science team, our offerings will enhance their capabilities, refining your machine learning engineering practices and improving your overall workflows for superior results. This collaborative methodology not only ensures that your AI projects are in harmony with your business objectives but also drives tangible outcomes that can be measured and evaluated over time. Ultimately, our goal is to foster a sustainable AI ecosystem that continuously evolves alongside your organization's needs.

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

Caffe
Dask
NetApp AIPod
TensorFlow
Torch
Unleash live

Integrations Supported

Caffe
Dask
NetApp AIPod
TensorFlow
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

Spatialedge

Date Founded

2016

Company Location

South Africa

Company Website

spatialedge.co.za

Company Facts

Organization Name

NVIDIA DIGITS

Date Founded

1993

Company Location

United States

Company Website

developer.nvidia.com/digits

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

Deep Learning

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

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