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Advanced Learning Path for running parallel vision inference driven by single M55 on an Alif Ensemble E8 DevKit using Zephyr, ExecuTorch, Ethos-U55, and Ethos-U85. - #3654

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pareenaverma merged 3 commits into
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varunchariArm:alif-dual-npu-vision
Sep 3, 2026
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Advanced Learning Path for running parallel vision inference driven by single M55 on an Alif Ensemble E8 DevKit using Zephyr, ExecuTorch, Ethos-U55, and Ethos-U85.#3654
pareenaverma merged 3 commits into
ArmDeveloperEcosystem:mainfrom
varunchariArm:alif-dual-npu-vision

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Before submitting a pull request for a new Learning Path, please review Create a Learning Path

  • [ x] I have reviewed Create a Learning Path

Please do not include any confidential information in your contribution. This includes confidential microarchitecture details and unannounced product information.

  • [ x] I have checked my contribution for confidential information

By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of the Creative Commons Attribution 4.0 International License.

The Learning Path covers:

  • Dual-NPU architecture and power-efficiency motivation
  • Camera, ISP, display, memory, and driver configuration
  • Greenfield workspace preparation
  • Firmware and PTE model generation
  • Alif SEToolkit packaging and flashing
  • Live camera inference and timing validation
  • Common build and runtime troubleshooting
    It also includes system and memory-layout diagrams. The workflow was validated on physical E8 hardware with an MT9M114 camera and MW405 display.

varunchariArm and others added 2 commits August 26, 2026 11:13
Set the draft status to true for the Alif Ensemble E8 demo page.
@pareenaverma pareenaverma moved this from Todo to In Progress in Arm Learning Paths Roadmap Sep 3, 2026
@pareenaverma
pareenaverma merged commit 78c5261 into ArmDeveloperEcosystem:main Sep 3, 2026
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3 participants