Ensemble AI/ML AppKit

Get started with the AI/ML AppKit

The AI/ML AppKit comes pre-configured with everything you need to collect Vibration, Voice and Vision data to feed your machine learning models, as well as a rich collection of demos of various AI use-cases. It features a 4” color LCD, an integrated camera module that can be configured for “selfie” as well as viewfinder orientation, PDM as well as I2S microphones, inertial sensors and more.

Purchase Kit

GitHub

We use GitHub to publish our device driver and OS packs, as well as demo applications, examples and more. You can access our repositories here.

Get Started

AI/ML AppKit User Guide

(v1.3) This User Guide will get you up and running with your AI/ML AppKit (Gen 2) which, with its integrated camera, display, and microphones, is ideal for developing applications using audio, video, or graphics libraries.

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Ensemble AI/ML AppKit Pre-Built Demos

(v2.0) This archive contains pre-built binary files for some AI/ML demos for the AI/ML AppKit (Gen 2).

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Alif Security Toolkit

(1.101.00) The Alif Security Toolkit for use with Ensemble Gen 2 kits and devices. After downloading your Toolkit, be sure to update your board to the same version by running the updateSystemPackage utility.

Windows Linux MacOS

ML Evaluation Kit Repo

Alif Semiconductor Repository forked from the ARM ml-embedded-evaluation-kit from https://git.mlplatform.org/ml/ethos-u/ml-embedded-evaluation-kit.git.

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AI/ML Design Flows

(v1.0) This white paper describes the steps of how a machine learning model that was trained and converted to a TFLite (quantized) format, needs to be further processed so it can take advantage of the Ethos U55 NPU accelerators in Alif Ensemble devices.

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AI/ML AppKit Schematics

Schematics for the AIML Gen 2 AppKit.

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Camera Module Adapter Board Schematics

This is a reference design of an adapter board from the IAS camera module connector on the Alif AppKit and DevKit, to the HM0360 & 15-pin Arducam connectors used on Raspberry Pi boards.

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AI/ML AppKit Altium Project Files

This zip archive is a set of Altium project files for the PCB used in the AI/ML AppKit Gen 2.

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AI/ML AppKit Bill of Materials

This is the bill of materials for the Gen 2 AppKit.

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E7 Hardware Reference Manual

(v2.6) Fusion Processor with quad cores up to 160MHz, 400MHz, and 800MHz operation capable of running combinations of Linux and/or RTOS, large memory, secure enclave, many peripherals, and AI/ML NPUs accelerators up to 250 GOPS performance.

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E7 Datasheet

(v2.9) Fusion Processor with quad cores up to 160MHz, 400MHz, and 800MHz operation capable of running combinations of Linux and/or RTOS, large memory, secure enclave, many peripherals, and AI/ML NPUs accelerators up to 250 GOPS performance.

Download Document

Ensemble Software Reference Manual

(v1.6) Software Reference manual for the entire family of Ensemble scalable and compatible MCUs and fusion processors.

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Evaluation Kits

Ensemble AI/ML AppKit

Get started with the AI/ML AppKit

GitHub

We use GitHub to publish our device driver and OS packs, as well as demo applications, examples and more. You can access our repositories here.

AI/ML AppKit User Guide

(v1.3) This User Guide will get you up and running with your AI/ML AppKit (Gen 2) which, with its integrated camera, display, and microphones, is ideal for developing applications using audio, video, or graphics libraries.

Ensemble AI/ML AppKit Pre-Built Demos

(v2.0) This archive contains pre-built binary files for some AI/ML demos for the AI/ML AppKit (Gen 2).

Alif Security Toolkit

(1.101.00) The Alif Security Toolkit for use with Ensemble Gen 2 kits and devices. After downloading your Toolkit, be sure to update your board to the same version by running the updateSystemPackage utility.

ML Evaluation Kit Repo

Alif Semiconductor Repository forked from the ARM ml-embedded-evaluation-kit from https://git.mlplatform.org/ml/ethos-u/ml-embedded-evaluation-kit.git.

AI/ML Design Flows

(v1.0) This white paper describes the steps of how a machine learning model that was trained and converted to a TFLite (quantized) format, needs to be further processed so it can take advantage of the Ethos U55 NPU accelerators in Alif Ensemble devices.

AI/ML AppKit Schematics

Schematics for the AIML Gen 2 AppKit.

Camera Module Adapter Board Schematics

This is a reference design of an adapter board from the IAS camera module connector on the Alif AppKit and DevKit, to the HM0360 & 15-pin Arducam connectors used on Raspberry Pi boards.

AI/ML AppKit Altium Project Files

This zip archive is a set of Altium project files for the PCB used in the AI/ML AppKit Gen 2.

AI/ML AppKit Bill of Materials

This is the bill of materials for the Gen 2 AppKit.

E7 Hardware Reference Manual

(v2.6) Fusion Processor with quad cores up to 160MHz, 400MHz, and 800MHz operation capable of running combinations of Linux and/or RTOS, large memory, secure enclave, many peripherals, and AI/ML NPUs accelerators up to 250 GOPS performance.

E7 Datasheet

(v2.9) Fusion Processor with quad cores up to 160MHz, 400MHz, and 800MHz operation capable of running combinations of Linux and/or RTOS, large memory, secure enclave, many peripherals, and AI/ML NPUs accelerators up to 250 GOPS performance.

Ensemble Software Reference Manual

(v1.6) Software Reference manual for the entire family of Ensemble scalable and compatible MCUs and fusion processors.