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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Deep learning frameworks like TensorFlow, PyTorch, Caffe, Torch, Theano, and MXNet have significantly enhanced the accessibility of deep learning by simplifying the design, training, and application of deep learning models. Fabric for Deep Learning (FfDL, pronounced “fiddle”) offers a standardized method for deploying these deep-learning frameworks as a service on Kubernetes, ensuring smooth operation. The architecture of FfDL is built on microservices, which minimizes the interdependence between components, promotes simplicity, and maintains a stateless nature for each component. This design choice also helps to isolate failures, allowing for independent development, testing, deployment, scaling, and upgrading of each element. By harnessing the capabilities of Kubernetes, FfDL delivers a highly scalable, resilient, and fault-tolerant environment for deep learning tasks. Additionally, the platform incorporates a distribution and orchestration layer that enables efficient learning from large datasets across multiple compute nodes within a manageable timeframe. This comprehensive approach ensures that deep learning projects can be executed with both efficiency and reliability.

Description

PaddlePaddle, built on years of research and practical applications in deep learning by Baidu, combines a core framework, a fundamental model library, an end-to-end development kit, tool components, and a service platform into a robust offering. Officially released as open-source in 2016, it stands out as a well-rounded deep learning platform known for its advanced technology and extensive features. The platform, which has evolved from real-world industrial applications, remains dedicated to fostering close ties with various sectors. Currently, PaddlePaddle is utilized across multiple fields, including industry, agriculture, and services, supporting 3.2 million developers and collaborating with partners to facilitate AI integration in an increasing number of industries. This widespread adoption underscores its significance in driving innovation and efficiency across diverse applications.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Caffe Yes 
Cirrascale No 
Graphcore No 
Kubernetes Yes 
OpenVINO No 
PyTorch Yes 
Rosepetal AI No 
TensorFlow Yes 
Torch Yes 

Integrations

Caffe No 
Cirrascale Yes 
Graphcore Yes 
Kubernetes No 
OpenVINO Yes 
PyTorch No 
Rosepetal AI Yes 
TensorFlow No 
Torch 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 Yes 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

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

Vendor Details

Company Name

PaddlePaddle

Website

www.paddlepaddle.org.cn/

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 Yes 
Document Classification Yes 
Image Segmentation No 
ML Algorithm Library No 
Model Training No 
Neural Network Modeling No 
Self-Learning No 
Visualization No 

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