Get involved in the Axelera community. Ask questions, get inspired, share projects and engage with the AI world
Share ideas and discuss Axelera’s products and innovations
The support hub for all things Axelera. Products, SDK, customer help and more.
Talk about innovations and advancements in the AI world.
Advancing language models and natural language understanding.
I followed the official Windows setup guide, and the Metis device is detected and started:However, running axrunmodel fails:How can I fix this parsing error with pnputil.exe?
In case you haven’t bumped up to the latest Voyager yet, let’s take a look at the highlights. 😃 Of which there are plenty.TL;DR: Axelera Server 150p (4-chip PCIe, 8GB) and Metis chip-down designs are supported, semantic segmentation is now a first-cl
Hi Guys,I'm quite stuck and would really appreciate your help. I'm a uni student trying to update aMetis Compute Board (RK3588 SBC) from Voyager SDK 1.2.5 to SDK 1.7 or newer (to use axmonitorand run LLMs), but I can't figure out the correct/safe up
Hi Guys,I have a Metis Compute Board (RK3588 SBC) currently running Voyager SDK 1.2.5, andI want to move to Voyager SDK 1.7 (I already downloaded the 1.7.0 container image)to use axmonitor and LLMs. I'd like to confirm the correct and SAFE update pro
🎯 Conclusion| | rocsystem | rocenv | |---|-----------|--------| | Purpose | AI Coding Agent — engine that executes coding tasks | Development Environment — workspace for development & deployment | | Focus | Orchestration, AI tools, self-developme
Hi,For context, I am using the Axelera Embedded 110m module (Metis AIPU) on a NanoPC-T6 Plus board.Please note that I am using the NanoPC-T6 Plus (LPDDR5 architecture), not the standard NanoPC-T6 (LPDDR4X). The official image provided for the standar
I am trying to get the Axelera Metis M.2 module working on a NanoPC-T6 Plus board powered by the Rockchip RK3588 SoC running Ubuntu 22.04 (Linux kernel 5.10.0-1012-rockchip / ARM64).(I installed image file in this link https://support.axelera.ai/hc/e
Hi Axelera team,I’m running parallel and cascading pipelines together with inference.py—the pipelines initialize and generally work. The issue is input routing: during inference I’m unable to reliably select/bind the correct video (file/RTSP/USB) t
Welcome to the Axelera AI Community – we’re so glad you’re here.This is a space for everyone from hardware engineers and AI devs to makers, enthusiasts, onlookers and partners, so don’t be shy. Whether you’re working with AI every day or just getting
Dear Axelera Support,I am currently following the Voyager SDK quick start guide (YOLO inference demo) on an RK3588-based Compute Board (received out-of-the-box), using Voyager SDK version 1.5.3. However, I am unable to successfully run inference due
Are there Axelera powered development boards similar to raspberry pi or like a nvidia jetson ?.Has axelera considered making one.
Hi team,We are currently deploying the Axelera Metis PCIe 4-AIPU AI Accelerator Card (AXE-BME20P4) in an HPE ProLiant DL380 Gen11 server as part of a k3s-based AI inference cluster.The card is physically seated in a PCIe Gen 3.0 x16 slot and Ubuntu S
I recently acquired a Metis M.2 module and was so excited to get started with it. To my horror, I installed it into a standard, modern x86 mini PC (with power disconnected, all by the books), and the system was bricked upon my first attempt to boot.
We want to connect multiple camera to detect object and track it. Each camera at different location. We could do that with Yolo. In Axelera, we can do it with 1 camera. When 2nd camera is started, error is thrown. Please advice
There's everything to play for.
Already have an account? Login
No account yet? Create an account
Enter your E-mail address. We'll send you an e-mail with instructions to reset your password.