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About

Distributed AI is a computing paradigm that bypasses the need to move vast amounts of data and provides the ability to analyze data at the source. Distributed AI APIs built by IBM Research is a set of RESTful web services with data and AI algorithms to support AI applications across hybrid cloud, distributed, and edge computing environments. Each Distributed AI API addresses the challenges in enabling AI in distributed and edge environments with APIs. The Distributed AI APIs do not focus on the basic requirements of creating and deploying AI pipelines, for example, model training and model serving. You would use your favorite open-source packages such as TensorFlow or PyTorch. Then, you can containerize your application, including the AI pipeline, and deploy these containers at the distributed locations. In many cases, it’s useful to use a container orchestrator such as Kubernetes or OpenShift operators to automate the deployment process.

About

The Qualcomm Cloud AI SDK is a comprehensive software suite designed to optimize trained deep learning models for high-performance inference on Qualcomm Cloud AI 100 accelerators. It supports a wide range of AI frameworks, including TensorFlow, PyTorch, and ONNX, enabling developers to compile, optimize, and execute models efficiently. The SDK provides tools for model onboarding, tuning, and deployment, facilitating end-to-end workflows from model preparation to production deployment. Additionally, it offers resources such as model recipes, tutorials, and code samples to assist developers in accelerating AI development. It ensures seamless integration with existing systems, allowing for scalable and efficient AI inference in cloud environments. By leveraging the Cloud AI SDK, developers can achieve enhanced performance and efficiency in their AI applications.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers interested in a solution offering data and AI algorithms to support their AI applications

Audience

Cloud infrastructure engineers interested in a solution to deploy and optimize AI inference workloads

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

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

Company Information

Qualcomm
www.qualcomm.com/developer/software/cloud-ai-sdk

Alternatives

Alternatives

AWS Neuron

AWS Neuron

Amazon Web Services
AWS Neuron

AWS Neuron

Amazon Web Services
DeepSpeed

DeepSpeed

Microsoft

Categories

Categories

Integrations

PyTorch
TensorFlow
Airstack
Amazon Web Services (AWS)
Cirrascale
Docker
EndoAim
GIGABYTE Rack Server
HPE Apollo
Hugging Face
Kubernetes
ONNX
Red Hat OpenShift

Integrations

PyTorch
TensorFlow
Airstack
Amazon Web Services (AWS)
Cirrascale
Docker
EndoAim
GIGABYTE Rack Server
HPE Apollo
Hugging Face
Kubernetes
ONNX
Red Hat OpenShift
Claim IBM Distributed AI APIs and update features and information
Claim IBM Distributed AI APIs and update features and information
Claim Qualcomm Cloud AI SDK and update features and information
Claim Qualcomm Cloud AI SDK and update features and information