πŸ”§ Tools in Edge AI

ClearBlade

The Enterprise IoT and Edge Platform.

An IoT and Edge platform for building, deploying, and managing real-time, scalable IoT solutions.

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Edge Impulse

The leading development platform for machine learning on edge devices.

An MLOps platform to build, deploy, and manage ML models on embedded devices.

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Balena

The complete IoT fleet management platform.

A platform for building, deploying, and managing applications on fleets of connected Linux devices.

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ZEDEDA

The Orchestration Solution for the Distributed Edge.

A cloud-native orchestration platform for deploying and managing applications, including AI/ML, on distributed edge hardware.

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NVIDIA Jetson Platform

Bringing AI to the Edge.

A hardware and software platform for developing and deploying AI-powered robotics and autonomous machines.

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Microsoft Azure IoT Edge

Extend cloud intelligence and analytics to your edge devices.

A managed service that deploys cloud workloadsβ€”AI, Azure services, and custom logicβ€”to run on IoT devices.

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AWS IoT Greengrass

Run IoT applications seamlessly and securely on your devices.

An open-source edge runtime and cloud service for building, deploying, and managing device software.

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Intel OpenVINO Toolkit

Develop and deploy high-performance AI inference applications at the edge.

A free toolkit for optimizing and deploying AI inference models on Intel hardware.

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IBM Edge Application Manager

Autonomously manage and scale workloads across tens of thousands of edge devices.

An intelligent and flexible platform for managing containerized workloads on edge devices, built on Open Horizon.

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Google Coral

Platform for building intelligent devices with local AI.

A hardware and software platform for building devices with fast, efficient, and private on-device AI.

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Qualcomm AI Engine

Powering the next generation of on-device AI experiences.

A suite of hardware and software for accelerating AI inference on Snapdragon and other Qualcomm platforms.

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TensorFlow Lite

Deploy machine learning models on mobile and embedded devices.

An open-source deep learning framework for on-device inference.

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PyTorch Mobile

An end-to-end workflow from training to deployment for mobile devices.

A framework for deploying PyTorch models on-device for Android and iOS.

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Sony AITRIOS

The Edge AI Sensing Platform.

A platform that streamlines the development and implementation of Edge AI sensing solutions.

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Imagimob

End-to-End AI for the Intelligent Edge.

A development platform for building and deploying machine learning models on resource-constrained edge devices.

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SensiML

AI Software Tools for the Intelligent IoT.

An AutoML platform that generates optimized AI code for ultra-low-power IoT endpoints.

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OctoML

Accelerate and deploy models, everywhere.

A platform for automating the optimization and deployment of machine learning models across any hardware.

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AlwaysAI

The platform for computer vision applications.

A development platform for building and deploying computer vision applications on edge devices.

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NVIDIA DeepStream SDK

A complete streaming analytics toolkit for AI-based video and image understanding.

An SDK for building and deploying high-performance, AI-powered video analytics applications.

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KubeEdge

An open source system for extending native containerized application orchestration capabilities to hosts at the Edge.

An open-source project that extends Kubernetes from the cloud to the edge.

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Apache TVM

An open source machine learning compiler framework for CPUs, GPUs, and machine learning accelerators.

An open-source deep learning compiler that optimizes models for any hardware backend.

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ONNX Runtime

A single standard to accelerate models on any hardware.

A high-performance inference engine for running models in the Open Neural Network Exchange (ONNX) format.

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Seeed Studio Edge AI

Your reliable partner for Edge AI.

A provider of hardware and customization services for building and deploying Edge AI solutions.

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