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About

Distributed AI is a computing paradigm that bypasses the need to move vast amounts of data and provides the ability to analyze data at the source. Distributed AI APIs built by IBM Research is a set of RESTful web services with data and AI algorithms to support AI applications across hybrid cloud, distributed, and edge computing environments. Each Distributed AI API addresses the challenges in enabling AI in distributed and edge environments with APIs. The Distributed AI APIs do not focus on the basic requirements of creating and deploying AI pipelines, for example, model training and model serving. You would use your favorite open-source packages such as TensorFlow or PyTorch. Then, you can containerize your application, including the AI pipeline, and deploy these containers at the distributed locations. In many cases, it’s useful to use a container orchestrator such as Kubernetes or OpenShift operators to automate the deployment process.

About

The core of extensible programming is defining functions. Python allows mandatory and optional arguments, keyword arguments, and even arbitrary argument lists. Whether you're new to programming or an experienced developer, it's easy to learn and use Python. Python can be easy to pick up whether you're a first-time programmer or you're experienced with other languages. The following pages are a useful first step to get on your way to writing programs with Python! The community hosts conferences and meetups to collaborate on code, and much more. Python's documentation will help you along the way, and the mailing lists will keep you in touch. The Python Package Index (PyPI) hosts thousands of third-party modules for Python. Both Python's standard library and the community-contributed modules allow for endless possibilities.

About

An end-to-end open source machine learning platform. TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. Build and train ML models easily using intuitive high-level APIs like Keras with eager execution, which makes for immediate model iteration and easy debugging. Easily train and deploy models in the cloud, on-prem, in the browser, or on-device no matter what language you use. A simple and flexible architecture to take new ideas from concept to code, to state-of-the-art models, and to publication faster. Build, deploy, and experiment easily with TensorFlow.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers interested in a solution offering data and AI algorithms to support their AI applications

Audience

Developers interested in a beautiful but advanced programming language

Audience

Organizations interested in a powerful open source machine learning platform

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 5.0 / 5
ease 4.5 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

IBM
United States
developer.ibm.com/apis/catalog/edgeai--distributed-ai-apis/Introduction/

Company Information

Python
Founded: 1991
www.python.org

Company Information

TensorFlow
Founded: 2015
United States
www.tensorflow.org

Alternatives

Alternatives

Alternatives

Vertex AI

Vertex AI

Google
Tinker

Tinker

Thinking Machines Lab
AWS Neuron

AWS Neuron

Amazon Web Services
Ruby

Ruby

Ruby Language
DeepSpeed

DeepSpeed

Microsoft

Categories

Categories

Categories

Machine Learning Features

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Integrations

AWS Cloud Development Kit (CDK)
Airweave
Amazon SageMaker Model Training
CUDA
Checkmarx
DeepSeek-VL
GPT-5 nano
Giotto
Jupyter Notebook
Kedro
MLBox
MPCPy
MPI for Python (mpi4py)
Modelbit
RadSystems
Rocket.new
SaaS Construct
Shakker
american fuzzy lop
jEdit

Integrations

AWS Cloud Development Kit (CDK)
Airweave
Amazon SageMaker Model Training
CUDA
Checkmarx
DeepSeek-VL
GPT-5 nano
Giotto
Jupyter Notebook
Kedro
MLBox
MPCPy
MPI for Python (mpi4py)
Modelbit
RadSystems
Rocket.new
SaaS Construct
Shakker
american fuzzy lop
jEdit

Integrations

AWS Cloud Development Kit (CDK)
Airweave
Amazon SageMaker Model Training
CUDA
Checkmarx
DeepSeek-VL
GPT-5 nano
Giotto
Jupyter Notebook
Kedro
MLBox
MPCPy
MPI for Python (mpi4py)
Modelbit
RadSystems
Rocket.new
SaaS Construct
Shakker
american fuzzy lop
jEdit
Claim IBM Distributed AI APIs and update features and information
Claim IBM Distributed AI APIs and update features and information
Claim Python and update features and information
Claim Python and update features and information
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Claim TensorFlow and update features and information