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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?
i am using Metis M.2 Eval System with Aetina RK3588 Industrial Motherboard . i connected everything to it keyboard, monitor and mouse and power supply . the monitor is showing blank screen . but yesterday it is working . why it is not working now . is there any solution.
Hello,I wanted to test the Yolo11n model. But I couldn't do this because I got an error in the calibrating part. Is this because of the use of attention mechanism in Yolo11 and Yolo12?Error: ValueError: Some modules couldn’t be simplified: <… activation.Softmax> <…. matmul.MatMul>In addition, when I looked at the ready yaml files on voyager sdk github, I saw that the yolov8x model was not available. Is there a special reason for this? Because when I prepared and tried a new yolov8x yaml file, I got the similar error again. But as far as I know, the attention mechanism is not used in Yolov8x.Thanks
Gugging face just snapped up a humanoid robotics startup (Pollen Robotics, the folks behind Reachy 2). Open source robots are officially happening. Imagine a robot that serves coffee and critiques your model training while it’s doing it. I’d buy that!In all seriousness, it does actually feel like a big moment for open robotics.https://techcrunch.com/2025/04/14/hugging-face-buys-a-humanoid-robotics-startup/
Hey!PCIe card did run out of the box with a first running demo in minutes with no issues!Question: Is there a way to control the fan speed to reduce the noise of the card?Thanks!
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
Hey everyone, I’m having trouble getting my Axelera Metis PCIe AI Accelerator to be recognized by `lspci`(and my system in general). I tested the card on two different systems. On my AMD setup, I am using an AMD 5950X with an ASUS B550-F. I tried installing the card in the slot I normally use for my RTX 3080 as well as in another slot that meets the specifications. In both cases, `lspci` does not list the card even though the fan spins and I know it is getting power. Also Voyager SDK dosn’t recognize the card. I also tried it on an Intel system with an Intel i5-8500T on a Supermicro X11SCA-F motherboard. The same issue occurs. The card is powered (fan spin) but not recognized. I noticed that the boot time increases significantly when the accelerator is installed. This makes me think that UEFI might be attempting to detect something, even though no error messages are shown. As I already tried a lot and I couldn’t get it running, I wonder if you have any ideas what I can test.Could there
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
Hi,I know Metis can be used for ML etc. but wondering whether it’s suitable to do some more low-level operations like big matrix multiplication, FFT of data stored in Metis memory etc. - more like on CUDA (some DSP/Math library)? I assume I could use torch basic math functions? Dominik
hey,I am an ARM enthusiast and I wanted to check if you have any compatibility list.Are you supporting NXP and MediaTek?What about the Broadcom CPU on latest Raspberry Pi?
Seems Ubuntu 24.04 is not supported at the moment. What are the plans for this version? Can you give some insight on what needs to be changed to get this installed on that version?
Hey!Is there any support planned for 24.04? I don’t have a machine available with the older Ubuntu version. It says native support on 22.04 here but not that it is completely unsupported. Thanks ➜ voyager-sdk git:(release/v1.2.5) ./install.sh --all --media --user florianzaruba@gmail.com --token cmVmdGtuOjAxOjE3NzU3MTk3NDU6NnUxQk9GY2I2Ykl0a3BoYVduTVU0RXdnSnROInstall/update prerequisite packages required by the installer itself (y/n): yInstall/update prerequisite packages required by the installer itself (y/n): yERROR: cfg/config-ubuntu-2404-amd64.yaml: File not found
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 :)
I’m scoping out the Metis M.2 module for a compact edge AI project and wondering how capable it really is. I’m mainly interested in real-time object detection on 1080p video streams, maybe 2–4 cameras max.Can it handle multi-stream inputs in real-time, or is that better suited to the PCIe version?
Hi!I need to set up a real-time security surveillance system to monitor an area using 20 cameras. Using your technology, what is the best solution you would propose, including the components and setup required to make it work efficiently? Additionally, could you let me know how I can purchase the recommended solution?Kind regards,G
Hi! I represent a large organization and am interested in conducting a feasibility study using your technology. Before proceeding, could you kindly provide a white paper detailing your technology, along with technical documentation showcasing the use cases the Metis chip supports.Kind regards,G.
hi there,I was wondering if you have a planned feature to enables the usage of multiple PCIe cards in the same system. if so, is there any feature to use large models over multiple cards?
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