Microsoft now has an amazing offering for building and hosting your AI/Data Science solution.
Infrastructure
Azure Batch https://azure.microsoft.com/en-us/services/batch/
Docker Images for AI/Data Science https://github.com/Azure/batch-shipyard/tree/master/recipes
Data Platforms
SQL Database/SQL Server https://docs.microsoft.com/en-us/sql/sql-server/what-s-new-in-sql-server-2017
Azure Datalake https://azure.microsoft.com/en-us/solutions/data-lake/
Azure Analysis Services https://azure.microsoft.com/en-us/services/analysis-services/
Azure Cosmos DB https://azure.microsoft.com/en-us/services/cosmos-db/
Hardware
Processing
Process data in Azure DataScience VM https://docs.microsoft.com/en-us/azure/machine-learning/machine-learning-data-science-virtual-machine-overview#whats-included-in-the-data-science-vm
Azure Batch AI Training https://batchaitraining.azure.com/
Azure ML Experimentation & Management https://docs.microsoft.com/en-us/azure/machine-learning/
Azure Jupyter Notebooks http://notebooks.azure.com
Frameworks
All these come as standard on the Azure Data Science VM which is available on Windows, Ubuntu or Centos see https://docs.microsoft.com/en-us/azure/machine-learning/machine-learning-data-science-virtual-machine-overview or can be run under containers using the Azure Batch Shipyard Images https://github.com/Azure/batch-shipyard/tree/master/recipes
CNTK https://docs.microsoft.com/en-us/cognitive-toolkit/cntk-on-azure
Tensorflow
R Server
Torch
Theano
Scikit
Keras
Nvidia Digits
CUDA, CUDNN
Spark
Hadoop
Services
Machine Learning and Toolkits https://docs.microsoft.com/en-us/azure/machine-learning/
Cognitive Services https://azure.microsoft.com/en-gb/services/cognitive-services/
Bot Framework https://dev.botframework.com
REST APIs intelligence in the cloud http://aka.ms/cognitive
Resources
Container images https://github.com/Azure/batch-shipyard/tree/master/recipes
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