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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
API Access
Has API
Integrations
Amadeus Central Reservations System (CRS)
Azure Arc
Azure Computer Vision
Azure Database for MySQL
Azure Database for PostgreSQL
Azure Kubernetes Service (AKS)
Azure Migrate
Azure Spot Virtual Machines
Azure Virtual Machines
BlackRock 360 Evaluator
Integrations
Amadeus Central Reservations System (CRS)
Azure Arc
Azure Computer Vision
Azure Database for MySQL
Azure Database for PostgreSQL
Azure Kubernetes Service (AKS)
Azure Migrate
Azure Spot Virtual Machines
Azure Virtual Machines
BlackRock 360 Evaluator
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
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/