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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.

What is Genedata Imagence?

Genedata Imagence® offers a robust platform for the training of deep neural networks aimed at classifying cellular phenotypes from high-content screening (HCS) images, guaranteeing results that are both impartial and of exceptional quality. By streamlining the analysis process, it empowers assay biologists to effectively leverage deep learning algorithms. With Genedata Imagence, biologists can perform real-time analysis of HCS imaging data utilizing sophisticated deep learning techniques, all while requiring minimal expertise in the algorithms themselves. This significantly reduces the challenges typically associated with data analysis, as the intuitive interface of Genedata Imagence promotes quality control and data exploration throughout the entire workflow. Consequently, researchers are able to concentrate on extracting valuable insights instead of becoming mired in complex coding, leading to a more efficient research process that enhances productivity. Additionally, this platform fosters collaboration among team members by allowing them to share findings seamlessly, further accelerating the pace of discovery.

Media

Media

Integrations Supported

Caffe
Dask
NetApp AIPod
TensorFlow
Torch
Unleash live

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Webinars

Company Facts

Organization Name

NVIDIA DIGITS

Date Founded

1993

Company Location

United States

Company Website

developer.nvidia.com/digits

Company Facts

Organization Name

Genedata

Date Founded

1997

Company Location

Switzerland

Company Website

www.genedata.com/products-services/imagence

Categories and Features

Deep Learning

Not specified

Neural Network

Not specified

Categories and Features

Drug Discovery

Not specified

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