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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 Fabnami?
Conduct a comprehensive assessment of 3D meshes to identify any topological or geometric defects that may hinder effective 3D printing. Fabnami is designed to be customizable, accommodating the requirements of different professional 3D printers and materials. Pricing can be determined by various criteria, including model volume, support material volume, bounding box dimensions, model convexity (which facilitates nesting), and printing duration. Prior to deployment, Fabnami is integrated with your existing tools and tailored to suit your 3D printers, pricing models, and operational workflows, allowing you to streamline processes without disrupting current operations. Utilizing a range of Amazon Web Services such as Lambda, Fabnami guarantees dependable, scalable, and high-performance data processing, capable of managing virtually any workload effectively. You can easily establish business processes that adapt depending on factors like order size, material selection, or customer identification. For example, automated quotations can be provided for smaller orders, while larger ones may necessitate a manual inspection to ensure precision and thoroughness. This adaptability empowers businesses to efficiently navigate their workflows while accommodating a variety of order types and complexities. Ultimately, Fabnami enhances productivity while providing tailored solutions to meet diverse needs.
Integrations Supported
Caffe
Kubernetes
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
In Numero
Company Location
Switzerland
Company Website
fabnami.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
eCommerce
CRM
Catalog Management
Channel Management
Customer Accounts
Data Security
Email Marketing
Inventory Management
Kitting
Loyalty Program
Mobile Access
Multi-Store Management
Order Management
Product Configurator
Promotions Management
Returns Management
Reviews Management
SEO Management
Shopping Cart
Templates