Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
The NVIDIA Deep Learning GPU Training System (DIGITS) empowers engineers and data scientists by making deep learning accessible and efficient. With DIGITS, users can swiftly train highly precise deep neural networks (DNNs) tailored for tasks like image classification, segmentation, and object detection. It streamlines essential deep learning processes, including data management, neural network design, multi-GPU training, real-time performance monitoring through advanced visualizations, and selecting optimal models for deployment from the results browser. The interactive nature of DIGITS allows data scientists to concentrate on model design and training instead of getting bogged down with programming and debugging. Users can train models interactively with TensorFlow while also visualizing the model architecture via TensorBoard. Furthermore, DIGITS supports the integration of custom plug-ins, facilitating the importation of specialized data formats such as DICOM, commonly utilized in medical imaging. This comprehensive approach ensures that engineers can maximize their productivity while leveraging advanced deep learning techniques.
Description
Our accelerator hardware is specifically crafted to enhance the performance and efficiency of deep learning, while prioritizing usability for developers. SynapseAI aims to streamline the development process by providing support for widely-used frameworks and models, allowing developers to work with the tools they are familiar with and prefer. Essentially, SynapseAI and its extensive array of tools are tailored to support deep learning developers in their unique workflows, empowering them to create projects that align with their preferences and requirements. Additionally, Habana-based deep learning processors not only safeguard existing software investments but also simplify the process of developing new models, catering to both the training and deployment needs of an ever-expanding array of models that shape the landscape of deep learning, generative AI, and large language models. This commitment to adaptability and support ensures that developers can thrive in a rapidly evolving technological environment.
API Access
Has API
No
API Access
Has API
No
Integrations
TensorFlow
Yes
Amazon Web Services (AWS)
No
Caffe
Yes
Dask
Yes
NetApp AIPod
Yes
PyTorch
No
Torch
Yes
Unleash live
Yes
Integrations
TensorFlow
Yes
Amazon Web Services (AWS)
Yes
Caffe
No
Dask
No
NetApp AIPod
No
PyTorch
Yes
Torch
No
Unleash live
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
NVIDIA DIGITS
Founded
1993
Country
United States
Website
developer.nvidia.com/digits
Vendor Details
Company Name
Habana Labs
Founded
2016
Country
Israel
Website
habana.ai/training-software/
Product Features
Deep Learning
Convolutional Neural Networks
No
Document Classification
No
Image Segmentation
No
ML Algorithm Library
No
Model Training
No
Neural Network Modeling
No
Self-Learning
No
Visualization
No
Product Features
Deep Learning
Convolutional Neural Networks
No
Document Classification
No
Image Segmentation
No
ML Algorithm Library
No
Model Training
No
Neural Network Modeling
No
Self-Learning
No
Visualization
No