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Average Ratings 0 Ratings
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
Azure Percept is a user-friendly, all-encompassing platform designed to enhance security while developing edge AI solutions. You can initiate your proof of concept within minutes, thanks to hardware accelerators that effortlessly connect with Azure AI and Azure IoT services. Out of the box, Azure Percept is compatible with Azure Cognitive Services, Azure Machine Learning, and various other Azure offerings, providing real-time insights for both vision and audio applications. This end-to-end edge AI platform includes hardware accelerators that are integrated with Azure AI and IoT services, facilitating a smoother development process. With pre-built AI models and robust solution management tools, you can quickly kickstart your proof of concept. Built-in security features ensure that your edge AI solution safeguards your most sensitive and high-value assets. You can begin with a collection of pre-existing AI models tailored for vision tasks, such as object detection, shelf analytics, and vehicle analytics, as well as audio functions like voice control and anomaly detection. Additionally, you have the flexibility to customize AI model training without writing any code and to deploy your solutions either locally or in the cloud, thereby maximizing your implementation options. This versatility and ease of use make Azure Percept a compelling choice for organizations looking to harness the power of edge AI.
API Access
Has API
API Access
Has API
Integrations
Microsoft Azure
Amadeus Central Reservations System (CRS)
Azure Arc
Azure Computer Vision
Azure Database for MySQL
Azure Database for PostgreSQL
Azure Industrial IoT
Azure IoT Central
Azure Kubernetes Service (AKS)
Azure Machine Learning
Integrations
Microsoft Azure
Amadeus Central Reservations System (CRS)
Azure Arc
Azure Computer Vision
Azure Database for MySQL
Azure Database for PostgreSQL
Azure Industrial IoT
Azure IoT Central
Azure Kubernetes Service (AKS)
Azure Machine Learning
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
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/services/azure-percept/
Product Features
Product Features
IoT Analytics
Activity Dashboard
Activity Tracking
Analytics
Asset Tracking
Data Collection
Data Synchronization
Data Visualization
ETL
Multiple Data Sources
Performance Analysis
Real-Time Analytics
Real-Time Data
Real-Time Monitoring
Status Tracking