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What is Fabric for Deep Learning (FfDL)?

Deep learning frameworks such as TensorFlow, PyTorch, Caffe, Torch, Theano, and MXNet have greatly improved the ease with which deep learning models can be designed, trained, and utilized. Fabric for Deep Learning (FfDL, pronounced "fiddle") provides a unified approach for deploying these deep-learning frameworks as a service on Kubernetes, facilitating seamless functionality. The FfDL architecture is constructed using microservices, which reduces the reliance between components, enhances simplicity, and ensures that each component operates in a stateless manner. This architectural choice is advantageous as it allows failures to be contained and promotes independent development, testing, deployment, scaling, and updating of each service. By leveraging Kubernetes' capabilities, FfDL creates an environment that is highly scalable, resilient, and capable of withstanding faults during deep learning operations. Furthermore, the platform includes a robust distribution and orchestration layer that enables efficient processing of extensive datasets across several compute nodes within a reasonable time frame. Consequently, this thorough strategy guarantees that deep learning initiatives can be carried out with both effectiveness and dependability, paving the way for innovative advancements in the field.

What is Disruptica?

Our aim is to deliver state-of-the-art solutions that blend artificial intelligence with software engineering. We are committed to ensuring that AI and automation are integrated effortlessly into daily operations, which is why we design specialized micro apps to address the unique requirements of various industries, including those focused on fraud detection, risk assessment, and sales forecasting. To help you better understand potential project costs, we provide our application estimator tool. Recognizing the challenges posed by monolithic architecture, we emphasize the creation of both front-end and back-end microservice applications that provide a more flexible, scalable, and modern solution. Moreover, we have developed our own open-source platform, allowing us to easily modify, enhance, or completely revamp parts of an application, thereby ensuring that our software remains both secure and reliable. Start your application development journey today by leveraging AI and automation through our comprehensive architectural framework! In addition to crafting cutting-edge solutions, we also provide extensive technical strategic plans that enable businesses to implement, evaluate, or expand their AI strategies effectively. This comprehensive approach guarantees that our clients are fully prepared to tackle the intricacies of contemporary technology with confidence.

Media

Media

Integrations Supported

Kubernetes
Amazon Web Services (AWS)
Caffe
Google Cloud Platform
Microsoft Azure
PyTorch
TensorFlow
Torch

Integrations Supported

Kubernetes
Amazon Web Services (AWS)
Caffe
Google Cloud Platform
Microsoft Azure
PyTorch
TensorFlow
Torch

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

IBM

Date Founded

1911

Company Location

United States

Company Website

developer.ibm.com/open/projects/fabric-for-deep-learning-ffdl/

Company Facts

Organization Name

Disruptica

Date Founded

2017

Company Location

United States

Company Website

disruptica.com

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

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)

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