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jonask-ai
Axelera Team
jonask-aiAxelera Team
published in The Axelera Forum
Getting Started with Voyager SDK – A Quick IntroductionTutorial

Hi everyone,I’ve just published a quick walkthrough of the Voyager SDK, our all-in-one platform for building and deploying AI applications at the edge. If you’re working on computer vision tasks or just curious about what makes Metis and Voyager such a powerful combo, this video is for you.In it, we’ll cover the basics:🔹 What Voyager SDK is and how it simplifies AI development🔹 How to use the Model Zoo or bring your own model🔹 Performance, quantization, pipelines, and real-time inference🔹 A peek at cascading models and what’s possible with our quad-core Metis AIPUWhether you’re building a demo, proof of concept, or production deployment, this will help you get started with confidence. Let me know what you think!Looking forward to seeing what you build with it!

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jonask-ai
Axelera Team
Spanner
Axelera Team
SpannerAxelera Team
published in Project Challenge: Recognize & React
The Pioneer 10 Project Challenge - FAQF.A.Q.

Excited to join in with Axelera AI’s first ever 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: Recognize and React Project Challenge FAQQ: Is the Project Kit free?🟢 Yes! If your project pitch is selected, you’ll receive a full Project Kit (worth over €1,500) 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 system and triggers a real-world action based on what it detects. Get creative—think alerts, robotics, automation, IoT, even music and art! AI detection is the first step, and a real-world action is the next one. As long as your project does both, you’re all good. Q: Do I have to use the entire kit?🧩 Not at all

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Axelera Team
Spanner
Axelera Team
SpannerAxelera Team
published in Project Challenge: Recognize & React
The Pioneer 10 Project Challenge - How It WorksNews

Build AI that doesn’t just see—it acts. Do you have what it takes to turn AI vision into real-world action? Join our Pioneer 10 project challenge and show us what you can do with Axelera AI’s powerful Metis platform and a project kit with some great hardware to get you where you’re going.Your mission: Detect something in the real world—and make something happen. 🎯 The ChallengeCreate a project where computer vision triggers a meaningful, real-world response. Think smart notifications, voice alerts, automated systems, IoT interactions—anything that goes beyond detection and does something in the physical world around you.Get creative, and show us how AI can interact with us in real, engaging ways. 📦 What You’ll GetTen successful participants will be selected from the proposals, and receive an Axelera AI Project Kit worth €1,500+ that they’ll use to build their project: 🧠 Metis AI Accelerator System with M.2 Metis card pre-installed 🎥 2 x USB Cameras (1080p) 💾 MicroSD Card (for

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Axelera Team
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pautu227Cadet
asked in Metis M.2
Trying to setup rpi5 with metis m2

​@Victor Labian I’m also trying to setup rpi5 with metis m2. I have question what host OS you was using and have you changed anything in config.txt?

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Axelera Team
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SaitejaCadet
asked in Metis M.2
Deploying the YOLOPv2 model on to Metis M2 for lane detection

Hi, I am also working on same thing deploying the YOLOPv2 model on to Metis M2. I have downloadded the data set from bdd100k and arranged in this manner.voyager-sdk/├── data/│   └── yolopv2_dataset/│       ├── images/│       ├── labels/│       ├── cal.txt│       ├── val.txt│       └── data.yaml├── customers/│   └── my_yolopv2/│       └── yolopv2.pt└── yolopv2-custom.yamlso when i am trying to deploy the model using yaml I am getting this error(venv) aravind@aravind-H610M-H-V2:~/Desktop/voyager-sdk$ ./deploy.py customers/my_yolopv2/yolopv2.yamlINFO    : Using device metis-0:1:0INFO    : Detected Metis type as pcieINFO    : Compiling network yolopv2-custom /home/aravind/Desktop/voyager-sdk/customers/my_yolopv2/yolopv2.yamlINFO    : Compile model: yolopv2-customINFO    : Imported DataAdapter ObjDataAdaptor from /home/aravind/Desktop/voyager-sdk/ax_datasets/objdataadapter.py/home/aravind/.cache/axelera/venvs/93f45ae3/lib/python3.10/site-packages/torch/serialization.py:779: UserWarning: 'to

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Axelera Team
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floritCadet
posted in LLMs, NLP, Neural Networks
Outsource the Learning process of an LLM from system to Metis

how let run a LLM learning process driven by system ram and cpu model outsource to metis device?or better say how to load 4,7GB into metis m.2 with 1GB

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Axelera Team
SpannerAxelera Team
published in Project Challenge: Recognize & React
Axelera AI Project Challenge – Terms & Conditions

These terms and conditions (the “Terms”) govern the participation in any Axelera AI project challenge as described in clause 1.1 (the “Challenge”) and the access to use any project kit (the “Kit”) which has been 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 NamePioneer 10: Recognize and React1.2 TimelineApplication Period: 15th May - 1st June, 2025 Participants Selected: 9th-11th June, 2025 Build Phase: 9th June-13th July, 2025 Project Submission Deadline: 14th July Winners Announced: 18th July1.3 The Kit Selected participants who will participate in the Challenge (the “Participants”) may receive access to a Kit consisting of hardware and components. The Kit is provided for Challenge participation only and may be retained by the participant upon co

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Axelera Team
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floritCadet
asked in Metis M.2
Metis M.2 on Raspberry Pi 5 - Driver Installation and Docker Setup Issues

hello I hijack this a little bit … once I type “lspci” it gave me following output on a pi 5 0001:00:00.0 PCI bridge: Broadcom Inc. and subsidiaries BCM2712 PCIe Bridge (rev 30)0001:01:00.0 Processing accelerators: Axelera AI Metis AIPU (rev 02)0002:00:00.0 PCI bridge: Broadcom Inc. and subsidiaries BCM2712 PCIe Bridge (rev 30)0002:01:00.0 Ethernet controller: Raspberry Pi Ltd RP1 PCIe 2.0 South Bridge how to activate the device and getting to work with my python3 script  

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MehmetYigitCadet
asked in Metis M.2
Metis M.2 Accelerator Can't Recognized by Jetson AGX Orin

Hello.I recently received the m.2 metis accelerators and did a test on the boards provided by Axelera and got results close to the published benchmarks. It was succesful.I then connected these accelerators to the Orin (via the m.2 slot) in order to use them also for the my Jetson AGX Orin environment. But in the voyager-sdk installation i got “WARNING: Failed to refresh pcie and firmware” error. The installation completes but the accelerator device does not show up on my system. In lspci -tv command I get the output attached to this post. Can’t see metis there.I didn't see any information about the compatibility of these accelerators with Jetson systems (my m2 slot is M-key). If they are compatible, can you help me to fix the installation?Thanks :)

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Axelera Team
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Hiroyuki KojimaCadet
asked in Voyager SDK
Error Installing Voyager SDK 1.2.5 in Docker

Hi, I followed the "Install Voyager SDK in a Docker Container" guide to try installing SDK version 1.2.5, but I encountered an error with one of the packages during the process.Could you please let me know how to resolve this issue?The attached file contains the installation log. ---    [150/193] Installing development libraries    [150/193] Install axelera_compiler    [150/193] python3 -m pip --disable-pip-version-check install --index-url XXXX@software.axelera.ai/artifactory/axelera-dev-pypi/ --no-deps -c cfg//requirements-ubuntu-2204-amd64.txt "axelera_compiler"    [150/193] Looking in indexes: XXXX:****@software.axelera.ai/artifactory/axelera-dev-pypi/    [150/193] WARNING: 401 Error, Credentials not correct for https://software.axelera.ai/artifactory/axelera-dev-pypi/axelera-compiler/(X)    [150/193] ERROR: Cannot install axelera_compiler because these package versions have conflicting dependencies.    [150/193] The conflict is caused by:    [150/193]     The user requested axeler

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Axelera Team
F
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floritCadet
asked in Voyager SDK
voyager token

it ask me every time about token … yes I use my registered emailand I did not found any token in my accountwtf

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Axelera Team
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Axelera Team
SpannerAxelera Team
posted in AI Trends and Innovations
Have you seen any projects combining CNC and AI?

About 40m of 2020 aluminium profile just arrived for the CNC machine I’m building! I suddenly feel like this might be a bigger job than I initially planned…Anyway, that’s for another day. What’s crossed my mind now is whether anyone’s seen any projects that combine CNC with vision AI? I’m thinking it’d be cool if I could combine the two, since I’m building one machine anyway.Predictive maintenance, maybe? Although this is a homemade machine, so that’s not a huge issue.Perhaps positioning and alignment could be something AI could get involved with? That could potentially be useful and reduce waste. Any other ideas of existing projects anyone’s seen in this area? 

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Axelera Team
Fabrizio
Axelera Team
FabrizioAxelera Team
Momentum and Milestones: Axelera AI’s Progress in a Changing WorldBlog

The world has been chaotic lately - market swings, tariffs, companies being acquired (Kinara by NXP), other companies are refusing acquisition (Furiosa allegedly declined an $800m buyout from Meta), DeepSeek made everyone question the future of closed AI models and model scaling, while OpenAI’s Sam Altman committed to an “open-weight” AI model to come out this summer - something no one thought would happen.As I was reflecting on all of these, and Axelera’s state in it all, I find myself incredibly grateful.Despite everything happening around us, our team has been focusing on what we can control: solving customer problems, building world-class technology, and partnering with some of the world’s best technology providers. So much to be thankful for, and I want to share some of these reasons with you.We have seen amazing progress towards our vision of bringing artificial intelligence to everyone, to truly democratize what could be the most revolutionary technology we have seen in our life

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Semih_Cadet
posted in The Axelera Forum
Legal Issues and Axelera

Hi everyone,I am Semih. I am a PhD researcher at University of Tuebingen on Open Source and AI. I am trying to understand Axelera’s hardware and in future I am planning to research legal and regulatory issues related to AI hardware, role of open source hardware, licensing contracts, regulatory compliance especially with Cyber Resilience Act, GDPR and AI Act. I was wondering if anyone is conducting a similar research or are there any pain points or interesting discussions under these themes?Thanks in advance

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zefirCadet
asked in Voyager SDK
Is graphical video output expected to work from within the docker SDK?

Hi all,I’m a docker noob, so please bear with me if this is a stupid question.To get the SDK operational on my Ubuntu-24.04 system I followed the Install Voyager SDK in a Docker Container and can make it up to test-running some inferences. Alas, while I expected the videos to be displayed in a dedicated window at full resolution, for me they are shown in the active text-console (ncurses-based I assume), obviously coarse and slow.I tried to learn how to activate graphics output from within docker, but all I got was that docker essentially is meant to be text-only and graphics usually is provided via web-browser of pages served from within docker.So to put it bluntly: those videos showing Voyager SDK performing object detection at exhibitions at full-resolution and full-framerate, are those from within docker or are they run from a native ubuntu-22 system?If it is possible to tune docker to have that video output, a mini-howto would help a lot. 

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Axelera Team
Z
Cadet
zefirCadet
asked in Metis PCIe
Reset and resource allocation failures on Metis PCIe device on AMD64 system

Dear all,I am trying to get my hands on the Metis PCIe card on my current working PC, beingmainboard: Asus Prime X570-P CPU: AMD Ryzen 9 3900X OS: Ubuntu 24.04.2 LTS, 6.8.0-58-generic x86_64The first issue I face is that the warm-reset does not seem to work for me, i.e. if I issue a reboot without re-powering the system, the Metis device does not show up in lspci, while after a power-down (with physical PSU switching off) it is there. This is reproducible and based on my experience points to either my mainboard BIOS issuing a wrong reset sequence to the PCIe slot, or the device itself not issuing a full reset sequence on warm-boot. Since I know how to get the card detected, this is only an annoyance - but I saw that also another user of AMD64 system in the forum has similar issues and the problem might go deeper.Which leads to the second issue I am observing and which I filed already a support request but realized here would be the better place to discuss it.According to David M. to ch

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Axelera Team
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Axelera Team
SpannerAxelera Team
asked in LLMs, NLP, Neural Networks
May the Source (Code) be With You!

May 4th is almost upon us, so naturally we’re thinking about AI… in space. More specifically: the AI and droid legends of the Star Wars universe.From multilingual protocol units to rogue assassin bots with surprising moral compasses, Star Wars has given us some of the most iconic (and occasionally chaotic) artificial intelligences in sci-fi.So here’s the question...

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Axelera Team
D
Cadet
DrouenCadet
asked in Metis M.2
Troubleshooting installation

Hello my name is Kevin, i am trying to work on a project that the m.2 is going to interfere with my cpu and later on maybe my gpu.is there a way, and another question whats the command to go on rtsp?  my system is:AMD 9950X3D CPUAMD 7900XTX GPU48 gb DDR5 on 8200MHZMetis Axelera AI on an m.2 port. 

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Dr Data
Ensign
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Axelera Team
SpannerAxelera Team
posted in AI Trends and Innovations
What Real-Time 8K Inference Looks Like

Check out our own ​@jonask-ai showing real-time, high-precision 8K object detection demo at Embedded World. An Aetina box, four Metis cards, and a whole lot of tile-based inference.What’s cool is it runs YOLOv8l across 380 overlapping tiles per second—no downscaling—at just 57% compute. And it’s not a one-off: same setup anyone can build with Voyager SDK + a YAML file.Noice!You can find out a bit more about this in ​@Doug’s blog post, too.

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Axelera Team
Ioannis
Axelera Team
IoannisAxelera Team
Voyager SDK is Available Now on GitHubBlog

The importance of software for unlocking the value of artificial intelligence cannot be overstated: the most powerful hardware in the world is just a paperweight without a usable software stack. At Axelera AI we’ve built the Voyager Software Development Kit (SDK) to give developers and ML engineers a simple solution for developing and deploying AI. Today, we’re excited to share that the Voyager SDK is now publicly available on our GitHub page.   IntroductionThe Voyager SDK is an end-to-end integrated software stack for Axelera AI’s inference platform which has been designed for performance, efficiency and ease of use. It enables developers to deploy pre-trained machine learning (ML) models, and to construct end-to-end optimized application pipelines quickly and easily. Whether you have trained your own model weights, are using an open source model with pre-trained weights, or want to build on one of the models offered in our model zoo, Voyager provides an effortless path to deploy and

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Axelera Team
M
Cadet
MartianCadet
posted in Metis M.2
Testing and M.2 card on an AMD system, not recognized by lspci

This is a very interesting thread as I’m testing and M.2 card on an AMD system as well and am having what seems to be the exact same problems. Things added / tried: kernel command line includes md_iommu=off pcie_aspm=off update-pciids → resulted in card having the correct name in lspci : Axelera AI Metis AIPU (rev 02) axdevice --refresh -v results in: INFO:axelera.runtime.axdevice:Removing 0000:20:04.0INFO:axelera.runtime.axdevice:PCIE rescan0000:25:00.0 : Axelera AI Metis AIPU (rev 02)INFO:axelera.runtime:Found PCI device: 25:00.0 Processing accelerators: Axelera AI Metis AIPU (rev 02)INFO:axelera.runtime:Found AIPU driver: metis                  90112  0WARNING:axelera.runtime:4PCI device count mismatch: lspci=1, triton=0(removed the traceback) just tried rerunning install.sh which mentions at the end: building operators refreshing pcie and firmware WARNING: Failed to refresh pcie and firmware  tried removing metis-dkms / rmmod metis and reinstalling results in same warning as ab

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Ensign
oguzEnsign
asked in Metis M.2
Transforming the Attention mechanism into Convolutional

Hello,I know that axelera does not work in the attention mechanism. For example, can we convert the attention mechanism in the yolov11 architecture to convolution? Have you done any research or read on this subject? Does Softmax structure work in Axelera? (as far as I know, no) Is there a way to turn Softmax into a working structure?

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Axelera Team
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Ensign
oguzEnsign
asked in Metis M.2
How does Axelera speed up models?

Hello, is there a detailed document where I can learn about the Axelera chip architecture and how to do the quantization in it?Thanks

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Axelera Team
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TheLinkedConnectionCadet
ai actors merged in video w/real actors?New

I'm developing a new way of video with or without AI. I am marketing both small & large companies using their people as limited actors. I saw Titanium and i was very curious, can I merge dynamic ai actors into video with real actors?  I am getting paperwork together to start, so I have time to learn. My background is in 2 & 3D animation & graphic design (degrees in both bs & bfa) What is the learning curve?  

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Axelera Team
S
Ensign
saravananEnsign
asked in The Axelera Forum
Deploying lane dection model (yolopv2.onnx) on metis M2

Hello,I am currently working on lane detection model (YOLOv2) which is in .pt format I have converted to ONNX format.Here are the terminal responses I have got..root@aetina:/voyager-sdk# cd YOLOPv2root@aetina:/voyager-sdk/YOLOPv2# lsLICENSE    data     demo2.py        models            runs   yolopv2-envREADME.md  demo.py  export-onnx.py  requirements.txt  utilsroot@aetina:/voyager-sdk/YOLOPv2# cd modelsroot@aetina:/voyager-sdk/YOLOPv2/models# ls__pycache__  common.py  experimental.py  yolopv2.onnx  yolopv2.ptroot@aetina:/voyager-sdk/YOLOPv2/models# I am having the ONNX format of the model so now I want to deploy the model onto Metis M2. When I am trying to compile the yolopv2.onnx model but i am encountering this issue.root@aetina:/voyager-sdk# /voyager-sdk/bin/voyager-compile models/yolopv2.onnx --output-dir build/yolopv2 --input-shape "1,3,640,640"bash: /voyager-sdk/bin/voyager-compile: No such file or directoryI request to guide me to successfully deploy the model.Note; I am using

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