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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.

Description

Cloud-native technology has emerged as a crucial element in contemporary cloud infrastructure design due to its lightweight nature and remarkable portability. It also enhances the efficiency of development and operations (DevOps), enabling rapid service deployment and fostering business innovation. To expedite the shift toward cloud-native environments while keeping costs low, QCT has validated the performance and service quality of the Red Hat® OpenShift Container Platform and Kubernetes Platform. The QCT QxStack with Cloud-Native Platform is a robust Platform as a Service (PaaS) offering that leverages the Red Hat® OpenShift® Container Platform, augmented by Intel Enhanced Platform Awareness (EPA) technology. This solution, optimized for production-ready performance, incorporates a Hyper Converged Infrastructure (HCI) architecture that enables the coexistence of virtual machines and containers, facilitating resource sharing. Moreover, the solution delivers outstanding network performance and reliability, ensuring optimal capital expenditure (CAPEX) and operational expenditure (OPEX) throughout all phases of new technology deployment, which is essential for businesses looking to remain competitive in a rapidly evolving market.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Kubernetes
Red Hat OpenShift
Microsoft Azure
NVMesh
PyTorch
TensorFlow
VMware Cloud
VMware vSAN

Integrations

Kubernetes
Red Hat OpenShift
Microsoft Azure
NVMesh
PyTorch
TensorFlow
VMware Cloud
VMware vSAN

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

IBM

Country

United States

Website

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

Vendor Details

Company Name

QCT

Country

United States

Website

go.qct.io/solutions/

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