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Axelera AI Smarter Spaces Project Challenge

Join 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. Free edge AI gear and prizes to be won.

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doritosCadet

Metis M.2

Use the Metis M.2 on the Jetson Orin NX

Hi! My name is Salvador and I’ve been trying to integrate the Metis M.2 on a Jetson Orin NX 16GB to perform Computer vision tasks.Recently the Axelera team shared a guide to Bring up Metis M.2 on Jetson Orin, where they explain the steps required to modify the kernel to use the Metis Accelerator.For me these changes were not enough, so I had to perform additional steps to make it work, I hope this post is useful for anybody trying to accomplish the same. The following steps build upon the instructions provided by the Axelera team.Prepare the Nvidia files necessaryWe will use a host machine running Ubuntu 20.04 or 22.04 (newer versions are not compatible with some Nvidia tools) where we will run all the described process, download the kernel sources, the Jetson Sample Filesystem, and the Jetson linux toolchain, and execute the cross compilation of the linux kernel, and the flashing into the Jetson Oring NX. To install the Jetson toolchain just follow the instructions provided on the lin

934

D

3 hours ago

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nomatter2kCadet

Metis PCIe

Radxa Orion O6 does not boot with Metis PCIe installed

Radxa Orion O6 board does not boot with Metis PCIe card installed in its PCIe slot.Does not show even the BIOS screen.Tested some other cards (Intel 10GbE NICs) works all okay with the board.However, Metis PCIe card works nice with my PC and Orange Pi 5Plus board.Compatibility problem..?

tchretienCadet

Unable to install full Voyager SDK (only partial ~80 MB install, missing runtime and ax_runner)

Hello,I’m currently trying to install the Voyager SDK (I tried v1.2.5 and the last version) inside a Docker container running Ubuntu 22.04, so I can later transfer the complete SDK onto my Metis Compute Board, which is currently empty (no sudo, no preinstalled SDK).However, no matter what I do, I always end up with a partial SDK installation — the folder size never exceeds ~80 MB, and key components such as ax_runner, ax_compiler, ax_engine, and axelera-runtime are missing.Here’s what I’ve already tried: Cloned the SDK from the official GitHub repo (https://github.com/axelera-ai-hub/voyager-sdk), as described in the installation guide. Successfully ran install.sh (after removing sudo calls since I’m root inside Docker). The installation completes without critical errors but stops with the message: WARNING: Failed to refresh pcie and firmware The final folder size is about 80 MB, and python3 -m ax_runner --help fails with: No module named ax_runner I understand from the logs that

MArioCadet

Current consumption and Power consumption tracking

Hello,I am using an Axelera board (board type: AXR_BOARD_METIS_OMEGA_PCIE, firmware version: v1.4.2) and woul like to track the power consumption and current consumption of the AIPU while i am using it. I have tried using Axmonitor but it does not display power consumption (as announced in the SDK since i don’t have a 4-Metis AIPU card). Is there a way to monitor current consumption or power consumption (maybe both?), as there is for temperature?

SpannerAxelera Team

Smarter Spaces Project Challenge - How it Works

We’re excited to launch our next community-driven Project Challenge right here at Axelera AI: Smarter Spaces. Following the success of Pioneer 10, this new challenge invites you to think smaller, closer, and more personal as you bring edge AI into your immediate surroundings. AI should live in your space, not in the cloud!As developers, makers, engineers, IoT enthusiasts and AI tinkerers, your mission is simple:Embed edge intelligence into the places people live, work, visit and play, while keeping data local, private, and out of the cloud.What is Smarter Spaces?In this challenge, you’ll build an AI-powered system for your home, workspace, or building that can: Sense and understand its environment via camera(s) or other sensors React meaningfully (e.g. control devices, send alerts, trigger automations, detect objects or events) Operate fully offline (even if internet connectivity is available) Maintain privacy, reliability, and resilience Some possible directions you could consid

imlcorpCadet

[Arduino Portenta X8] out-of-box test fails

Hello,My team just received and opened a Metis Dev System with Arduino Portenta X8.We followed the “Getting Started with Metis Dev System with Arduino Portenta X8”,but could not go though; In installing the SDK; “docker run -it --privileged -v /tmp:/tmp -v /axelera:/axelera -v /lib/modules:/lib/modules -v /run:/run -v /dev:/dev --group-add video -e DISPLAY=$DISPLAY --name=voyager-sdk-1.4.0 --network=host --entrypoint=/bin/bash axelera-sdk-ubuntu-2204-arm64-prebuid-llm:1.4.0” failed with “docker: Error response from daemon: pull access denied for axelera-sdk-ubuntu-2204-arm64-prebuild-llm, repository does not exist or may require ‘docketr login’: denied: requested access to the resource is denied” message What is the default login ID/PASS of the docker image ? 2. Then, we tried the alternative ; after loading the downloaded docker image, we moved into docker, and tried to finalize the setup. But, in “make clobber-libs && make o

Hiroyuki KojimaCadet

Support for older ONNX operators (opset11)

Hi, The ONNX operator support information published on axelera-ai-hub appears to describe the status starting from opset 14 and newer. I would like to confirm the support status for opset 11. Could you please tell me? Best, regardsHiroyuki Kojima

JulianaAxelera Team

Why Edge AI Deployments Are Stalling (And What's Finally Changing)

The paradox: Enterprise AI adoption stands at 44.5% across U.S. businesses. The edge AI market is growing at 21.7% CAGR. Yet most companies remain stuck in pilot purgatory, unable to scale beyond proof-of-concept.At last week's AI Beyond The Edge forum, Axelera AI CEO Fabrizio Del Maffeo addressed this head-on: "There's a massive disconnect between what everyone's talking about and what's actually working in the real world."Here's what's really holding companies back.The Infrastructure Doesn't Match the RequirementsThe market is ready. AI compute costs have dropped from thousands to hundreds of dollars. Models are proven. But when companies try to deploy at scale, they hit the same walls:Retail operators report that other edge setups can't handle the latest computer vision models. Hardware overheats in store environments or proves too costly to scale across thousands of locations.Industrial customers face a painful choice: solutions that consume too much power (adding $500+ to monthly

SpannerAxelera Team

Smarter Spaces Project Challenge: Terms & Conditions

Axelera® AI Project Challenge – Terms & ConditionsSmarter Spaces Edition (with Orange Pi)These terms and conditions (the “Terms”) govern the participation in the Axelera AI project challenge described in clause 1.1 (the “Challenge”) and the access to use any project kit (the “Kit”) made available by Axelera AI B.V. (“Axelera AI”) in relation to the Challenge. By applying, participating, or submitting any content, you agree to and accept the following terms issued by Axelera AI, registered in the Netherlands and headquartered in Eindhoven.1. Key Terms1.1 Challenge NameSmarter Spaces1.2 TimelineThe Smarter Spaces Project Challenge launces on 30th October, 2025. Application Period: Deadline to submit project proposals - 16th November, 2025 Participants Selected: 1 week after application period ends Build Phase: 8 weeks for selected participants to build their proposed project Project Submission Deadline: Final submissions due on 1st February, 2026 Winners Announced: Within 1 w

400

5 days ago

SpannerAxelera Team

Project Challenge

Smarter Spaces Project Challenge: FAQsF.A.Q.

Excited to join in with Axelera AI’s new project challenge, but have a few questions before you get building? This FAQ might help, and feel free to join the group and post any other questions in the comments. 🖖Pioneer 10: Smarter Spaces Project Challenge FAQQ: Is the Project Kit free?🟢 Yes! If your project pitch is selected, you’ll receive a full Project Kit at no cost. And you keep it upon completion of your project, too. Q: Can we apply as a team?👥 Absolutely—teams are welcome. Just note that each selected project will receive one kit, so you’ll need to share it. Q: What kind of projects can I pitch?🔧 Anything that uses the Axelera AI Metis M.2 and Orange Pi 5 Plus host system and integrates edge AI/computer vision into the places we live, work, or visit. This can be any kind of location, as long as it can clearly be defined as being a specific location. For example, a workshop, garden, office, hospital, park or house. A “street” might be too vague and lack boundaries that make i

nomatter2kCadet

Radxa Orion O6 does not boot with Metis PCIe installed

Radxa Orion O6 board does not boot with Metis PCIe card installed in its PCIe slot.Does not show even the BIOS screen.Tested some other cards (Intel 10GbE NICs) works all okay with the board.However, Metis PCIe card works nice with my PC and Orange Pi 5Plus board.Compatibility problem..?

tchretienCadet

Unable to install full Voyager SDK (only partial ~80 MB install, missing runtime and ax_runner)

Hello,I’m currently trying to install the Voyager SDK (I tried v1.2.5 and the last version) inside a Docker container running Ubuntu 22.04, so I can later transfer the complete SDK onto my Metis Compute Board, which is currently empty (no sudo, no preinstalled SDK).However, no matter what I do, I always end up with a partial SDK installation — the folder size never exceeds ~80 MB, and key components such as ax_runner, ax_compiler, ax_engine, and axelera-runtime are missing.Here’s what I’ve already tried: Cloned the SDK from the official GitHub repo (https://github.com/axelera-ai-hub/voyager-sdk), as described in the installation guide. Successfully ran install.sh (after removing sudo calls since I’m root inside Docker). The installation completes without critical errors but stops with the message: WARNING: Failed to refresh pcie and firmware The final folder size is about 80 MB, and python3 -m ax_runner --help fails with: No module named ax_runner I understand from the logs that

MArioCadet

Current consumption and Power consumption tracking

Hello,I am using an Axelera board (board type: AXR_BOARD_METIS_OMEGA_PCIE, firmware version: v1.4.2) and woul like to track the power consumption and current consumption of the AIPU while i am using it. I have tried using Axmonitor but it does not display power consumption (as announced in the SDK since i don’t have a 4-Metis AIPU card). Is there a way to monitor current consumption or power consumption (maybe both?), as there is for temperature?

imlcorpCadet

[Arduino Portenta X8] out-of-box test fails

Hello,My team just received and opened a Metis Dev System with Arduino Portenta X8.We followed the “Getting Started with Metis Dev System with Arduino Portenta X8”,but could not go though; In installing the SDK; “docker run -it --privileged -v /tmp:/tmp -v /axelera:/axelera -v /lib/modules:/lib/modules -v /run:/run -v /dev:/dev --group-add video -e DISPLAY=$DISPLAY --name=voyager-sdk-1.4.0 --network=host --entrypoint=/bin/bash axelera-sdk-ubuntu-2204-arm64-prebuid-llm:1.4.0” failed with “docker: Error response from daemon: pull access denied for axelera-sdk-ubuntu-2204-arm64-prebuild-llm, repository does not exist or may require ‘docketr login’: denied: requested access to the resource is denied” message What is the default login ID/PASS of the docker image ? 2. Then, we tried the alternative ; after loading the downloaded docker image, we moved into docker, and tried to finalize the setup. But, in “make clobber-libs && make o

Hiroyuki KojimaCadet

Support for older ONNX operators (opset11)

Hi, The ONNX operator support information published on axelera-ai-hub appears to describe the status starting from opset 14 and newer. I would like to confirm the support status for opset 11. Could you please tell me? Best, regardsHiroyuki Kojima

sebbeCadet

[METIS M2 DRIVER ERROR] Driver x runtime compatibility

Hi guys, new to the conversation here.Just wondering whether there is a software compatibility matrix available somewhere?I’ve been trying to get the METIS M2 chip running on my Jetson Orin NX. Thing is, I’m running a custom YOCTO build (based on Jetpack 6) and want to run the voyager-sdk in a Docker container, but I just can’t seem to get the drivers to properly match. So what driver versions match with which voyager-sdk versions?The main error I’m getting is the one below:root@hw00001aaa-24050002:/workspace# axdevice --pcie-scan0007:01:00.0 : Axelera AI Metis AIPU (rev 02)[libtriton_linux.c:799] Failed to open '/dev/metis-7:1:0': No such device[AxeleraDevice.cpp:71] Device not found: metis-7:1:0WARNING: Failed to open device 0(metis-7:1:0)[libtriton_linux.c:799] Failed to open '/dev/metis-7:1:0': No such device[AxeleraDevice.cpp:71] Device not found: metis-7:1:0ERROR: Failed to open device metis-7:1:0My guess is that it’s a driver version mismatch. These are my current axelera-device

MatthiasCadet

libaxruntime.so is missing

Hi,i’m using the Voyager SDK 1.4 Version. I have compiled an ONNX resnet50 and now i get the error that the libaxruntime.so is missing. I have performed the installation of the sdk according your manual with an username and token.What can I do to build this library?Best regards,Matthias

danyCadet

Metis PCIe: Voyager SDK Tiling Error on 1504×1504 Input (L1 Constraint Exceeded)

Hi all,I am trying to compile a high-resolution model (1504×1504) on a Metis PCIe card, but the compilation fails due to a memory constraint:ERROR : RuntimeError: Could not find a tiling factor that fits the memory constraints l1_constraint=4011520 l2_constraint=7894528. After attempt=7 and h_size=1 and adj_factor=1, memory usage still is memory_usage={L1: {190: 141376, 193: 5017600, 191: 143360}} and per-pool memory usage {L1: 5302336}.The error indicates a required L1 size (≈5.3 MiB) exceeds the constraint (≈4.0 MiB).My questions are: Voyager SDK Solution: Is there a Voyager SDK flag or setting to adjust the tiling to overcome this ≈4 MiB L1 limit? Hardware Solution: Are there any Metis card variants (or multi-AIPU cards) that feature a larger per-core L1 cache? Any guidance on compiling this high-resolution model is appreciated. Thank you!

AnnaVellaCadet

Kuleuven Master Students - project on Innovation Management

Dear Axelera Team, We are Master’s students in Business Engineering: Technology and Entrepreneurship at KU Leuven. As part of our course on Strategic Management of Technology, we are exploring how innovative companies manage and foster innovation. Through Axelera’s LinkedIn we noticed your commitment to supporting innovative ideas. We would be very interested in learning more about your approach to innovation management. Our project would involve studying your innovation practices and providing an analytical report as an outcome. Would you be open to collaborating with us on this project? Thank you very much for your time and consideration. Best regards,Anna VellaKU Leuven – Faculty of Economics and BusinessLeuven, Belgium

VitoCadet

Buongiorno a tutti, Mi chiamo Vito e sono il titolare di una società Italiana, una start-up. Insegno anche in un istituto tecnico di Brescia Robotica, Elettronica e Informatica. Abbiamo avviato un progetto per la realizzazione di un robot umanoide nella mia società con alcuni dei miei studenti, qualche mese fa nell'ambito dell'assistenza. Ho visto l'intervista dell'Ing. Del Maffeo e sono rimasto colpito. Spanner, @Spanner dobbiamo implementare il robot con AI e quindi di una scheda potente, possiamo collaborare? Il potenziale è grande.. come potremmo approfondire l'argomento? Vi ringrazio a tutti in anticipo..

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V

21 days ago