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Description
The Data Orchestration Platform enables the transformation of your IoT data into a comprehensive AI environment, allowing for the seamless processing of thousands of AI pipelines and the capability to scale up to millions of devices. It's time to harness the power of your data and elevate your IoT project to new heights with Astarte Flow: Your AI Environment. This platform serves as the central hub for integrating your AI pipelines and data science tasks within your IoT application. Experience the advantages of a cloud-native solution without the burden of DevOps, as Astarte handles Kubernetes management on your behalf. Embrace cutting-edge cloud technologies without needing any specific domain expertise. With its commitment to open-source principles, Astarte utilizes established, open, and standard protocols and technologies. It stands out as the preferred platform for your AI and IoT initiatives, efficiently managing and processing your IoT and context data while seamlessly handling everything in between—from data collection to deployment. By leveraging Astarte, you can unlock the full potential of your IoT ecosystem, ensuring a more effective and innovative approach to data utilization.
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
Pricing Details
No price information available.
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
Ispirata
Country
Italy
Website
ispirata.com
Vendor Details
Company Name
IBM
Country
United States
Website
developer.ibm.com/apis/catalog/edgeai--distributed-ai-apis/Introduction/
Product Features
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
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