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Welcome to the Axelera® AI Community

Ask questions, get inspired, share your projects and get involved in AI

The Smarter Spaces Project Challenge with Axelera AI and Orange Pi

Using Metis + Orange Pi, we’re challenging you to create an offline, vision-powered edge AI system that makes the spaces we live in, work in, play and visit so much smarter.

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👋 Say Hello - Introduce Yourself to the Axelera AI Community

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FreezerJohnEnsign

Project Challenge

🌊 Project MotionFlow - A smart motion sensor | Update #3

Hi community! It's been a while since my last update - lots happened! The short version: MotionFlow now runs fully on the Orange Pi with the Metis accelerator, and I've been iterating on making the whole thing actually usable in daily life. Moving to

141

3 hours ago

A

AdrianZaCadet

Support Central

GPU device discovery failed

I try to use Metis M.2 on Jetson Nano, I followed all the steps to install the board but when I try to run the first example from Voyager-SDK I get the following error:(venv) adrianza@ubuntu:~/voyager-sdk$ ./inference.py yolov5s-v7-coco media/traffic

JulianaAxelera Team

Evolving Space Autonomy: Axelera AI and AIKO Join Forces to Advance Onboard IntelligenceBlog

A new collaboration combines a decade of heritage in autonomous space systems, with AI’s cutting-edge processor technology, optimizing the next gen of intelligent space infrastructure. Space exploration has always pushed the boundaries of human innov

dilip.mCadet

Project RehabVision Update

Completed the initial architecture implementation. The device can now track standard therapy exercises and show the count. Next step is to detect the pattern from an unknown exercise and then use it to help practice. I was also thinking of adding aud

VitoCadet

Project Update – MedBot / Miky Robot

We have continued advancing the development of MedBot both in terms of design and functional integration, with a strong focus on improving its medical-oriented appearance and strengthening the connection between hardware, sensors, and artificial inte

EnminEnsign

🚀 FlowSentry-Wake | Stage 3 Update

Taming the GStreamer Beast: From 3 FPS to Real-Time1️⃣ The BottleneckWe hit a wall.Our Python-based torch-aipu pipeline was smart, but slow. It was handling video decoding, preprocessing, and visualization all on the host CPU.The result? 3.4 FPS on t

Bill.EichenCadet

Hi Axelera inferences and compiler available https://hub.degirum.com

Aimar.gnzCadet

Trouble opening ssh server on Metis Arm-based Compute Board (SBC)

Hello,I am trying to open ssh server in my Metis SBC board (with 1x AIPU, 4 GB of RAM, 16GB of host RAM and active cooling, Rev1), but right now I’m in the sh $ console with the “antelao” user, and whenever I need to run a sudo command, I’m asked to

meva-ysfCadet

Can not Enable Update

Hi,I have 3 axelera metis m2 device. I could not enable update for all of them. I have Voyager SDK 1.5.2 version that installed successfully. When i enter the command “./enable_bootloader_update.sh" it gives an error such as “Device communication tim

DavidCadet

Project Gaius: 2-Stage Pipeline & Smart Cropping

Hi Community!I want to share the architectural progress I've made with the Voyager SDK since my last post about Project Gaius.My journey began with a plan to utilize a pre-trained YOLOv11, which showed great promise for hand keypoint detection. Howev

AdrianZaCadet

GPU device discovery failed

I try to use Metis M.2 on Jetson Nano, I followed all the steps to install the board but when I try to run the first example from Voyager-SDK I get the following error:(venv) adrianza@ubuntu:~/voyager-sdk$ ./inference.py yolov5s-v7-coco media/traffic

dilip.mCadet

Project RehabVision Update

Completed the initial architecture implementation. The device can now track standard therapy exercises and show the count. Next step is to detect the pattern from an unknown exercise and then use it to help practice. I was also thinking of adding aud

EnminEnsign

🚀 FlowSentry-Wake | Stage 3 Update

Taming the GStreamer Beast: From 3 FPS to Real-Time1️⃣ The BottleneckWe hit a wall.Our Python-based torch-aipu pipeline was smart, but slow. It was handling video decoding, preprocessing, and visualization all on the host CPU.The result? 3.4 FPS on t

Bill.EichenCadet

Hi Axelera inferences and compiler available https://hub.degirum.com

meva-ysfCadet

Can not Enable Update

Hi,I have 3 axelera metis m2 device. I could not enable update for all of them. I have Voyager SDK 1.5.2 version that installed successfully. When i enter the command “./enable_bootloader_update.sh" it gives an error such as “Device communication tim

MehmetYigitEnsign

Device Did Not Respond Within 1 Seconds Error on Metis M.2

Hi again, long time to see ^^After 6 months I saw a post about ORIN support and I wanted to try my Metis M.2 again.First I wanted to try it on my Desktop computer, ORIN will come after. But unfortunately, I got some errors.Note: I was able to run Met

RhinostarCadet

Qwen 32b instruct A3b on the edge

I am looking for a way to infer Qwen VL 32b instruct A3b on the edge using Axelera m 2 form factor hardware. But I would need a lot of Ram to make this happen I am talking at least 48Gb. Could anyone share some light on what are my options. I need to

1109

7 days ago

SpannerAxelera Team

LLMs, NLP, Neural Networks

Which models are you using with Metis? Or want to use.

I’m interested in hearing from everyone here about which models you’re successfully using with your Metis device and Voyager SDK, and which ones you’d like to see being officially supported.This could be really useful info in terms of prioritisation

maximiliankirCadet

Yolo Performance Issues

Hello, I try to use a YOLO model on 8 camera streams in parallel on the Metis PCIe card. 20-30 fps per camera stream is all I need. With the 548 fps end-to-end stated for YOLOv8s in https://axelera.ai/metis-aipu-benchmarks, it should be possible to r

FreezerJohnEnsign

Hi all!I’m currently trying to setup a simple pipeline with yolo pose + tracker.The attached YAML works fine, but how to link the tracker results back to the tracked object?It seems the trackers meta data does not contain any reference to the tracked

402

F

25 days ago