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Description

Linux on Azure empowers teams to develop, launch, and manage applications using their preferred Linux distribution on a reliable cloud platform tailored for Linux tasks. This environment fosters open-source advancements through managed databases, adaptable infrastructure, integrated security from code to cloud, and the capability to automatically adjust resources to meet fluctuating needs while maintaining high performance. Organizations can utilize Azure to operate Linux across various environments, including virtual machines, containers, Kubernetes, hybrid setups, and open-source database solutions, while accommodating prominent Linux distributions like Red Hat, Ubuntu, SUSE, and Azure Linux. Furthermore, teams can swiftly set up Linux virtual machines, efficiently deploy and scale containers via Azure Kubernetes Service, leverage Azure Linux as a container host OS for AKS, and dynamically adjust virtual machine groups through Azure Virtual Machine Scale Sets. This versatility enables seamless integration of Linux workloads into existing cloud infrastructures, driving greater operational efficiency and innovation.

Description

Distributed AI represents a computing approach that eliminates the necessity of transferring large data sets, enabling data analysis directly at its origin. Developed by IBM Research, the Distributed AI APIs consist of a suite of RESTful web services equipped with data and AI algorithms tailored for AI applications in hybrid cloud, edge, and distributed computing scenarios. Each API within the Distributed AI framework tackles the unique challenges associated with deploying AI technologies in such environments. Notably, these APIs do not concentrate on fundamental aspects of establishing and implementing AI workflows, such as model training or serving. Instead, developers can utilize their preferred open-source libraries like TensorFlow or PyTorch for these tasks. Afterward, you can encapsulate your application, which includes the entire AI pipeline, into containers for deployment at various distributed sites. Additionally, leveraging container orchestration tools like Kubernetes or OpenShift can greatly enhance the automation of the deployment process, ensuring efficiency and scalability in managing distributed AI applications. This innovative approach ultimately streamlines the integration of AI into diverse infrastructures, fostering smarter solutions.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amadeus Central Reservations System (CRS) Yes 
Azure Arc Yes 
Azure Computer Vision Yes 
Azure Database for MySQL Yes 
Azure Database for PostgreSQL Yes 
Azure Kubernetes Service (AKS) Yes 
Azure Migrate Yes 
Azure Spot Virtual Machines Yes 
Azure Virtual Machines Yes 
BlackRock 360 Evaluator Yes 
Kubernetes No 
OneTrust Data Use Governance Yes 
OpenAI Yes 
PTC FlexPLM Yes 
PyTorch No 
Red Hat Integration Yes 
Red Hat OpenShift No 
SUSE Cloud Application Platform Yes 
TensorFlow No 
Ubuntu Yes 

Integrations

Amadeus Central Reservations System (CRS) No 
Azure Arc No 
Azure Computer Vision No 
Azure Database for MySQL No 
Azure Database for PostgreSQL No 
Azure Kubernetes Service (AKS) No 
Azure Migrate No 
Azure Spot Virtual Machines No 
Azure Virtual Machines No 
BlackRock 360 Evaluator No 
Kubernetes Yes 
OneTrust Data Use Governance No 
OpenAI No 
PTC FlexPLM No 
PyTorch Yes 
Red Hat Integration No 
Red Hat OpenShift Yes 
SUSE Cloud Application Platform No 
TensorFlow Yes 
Ubuntu No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux Yes 
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 Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

azure.microsoft.com/en-us/solutions/linux-on-azure

Vendor Details

Company Name

IBM

Country

United States

Website

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

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