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Voyager SDK SIGILL Crash on ZCU102 Cortex-A53 (ARMv8.0-A) — LSE Incompatibility

Hi,We are using the Axelera Metis PCIe AI accelerator card with a ZCU102 evaluation board as the host system. We are facing a critical compatibility issue when running the Voyager SDK on the ZCU102.---Setup Details:- Host Board: AMD Xilinx ZCU102 (Zy

643

3 days ago

malberoCadet

Metis M.2 Bus error loading runtime firmware - Kernel 6.18 / SMMU-v3 compatibility issue

Hello Axelera support team,I am running the Axelera Metis M.2 accelerator on a Radxa Rock 5B (RK3588 SoC) with Armbian and kernel 6.18.10-current-rockchip64. After extensive debugging over several days, I have identified a compatibility issue between

2258

NathanCadet

Subject: Metis AIPU detected on PCIe but not responding – stage0 load failure on RK3588 Compute Board (Voyager SDK 1.5.3)

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

2347

AlbertaBeefEnsign

Reproducing the FPS/W benchmark claim

Hello,There seems to be two different published benchmarks for ResNet50.The first is in the Voyager SDK’s documentation : 1756 FPS (M.2) / 1946 FPS (PCIe) :- https://github.com/axelera-ai-hub/voyager-sdk/blob/latest/docs/reference/model_zoo.mdThe sec

332

10 days ago

AnderHuesoCadet

My colleagues don't remember the Ubuntu password

My colleagues don't remember the Ubuntu password and I have to use the miniPC. I have tried some passwords they have given me, but no luck.

211

11 days ago

GiodstLieutenant Commander

Run a custom model with end-to-end C/C++ pipeline

Hi,How can I implement the following preprocessing to run the end-to-end C/C++ pipeline?I've already implemented the build_gst function of the custom decoder with C++.def override_preprocess(self, img: PIL.Image.Image | np.ndarray) -> torch.Tensor

manoj bhatCadet

I am currently working with metis M2 card. Trying to run yolov8 model using inference.py file from the sdk. The throughput is very low. I set the AIPU core to 4 and verfied the same in the compile_config.json file. But there is another argument calle

474

12 days ago

SpannerAxelera Team

The Axelera Forum

👋 Say Hello – Introduce Yourself to the Axelera AI Community

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

159736

15 days ago

nickCadet

Voyager v1.6.0 on portenta

Hi, I was trying to get the voyager sdk v1.6.0 running on the arduino portenta board but I cannot get it to work. The board came with v1.4.0 preinstalled, which does work. I followed the guide for creating the docker container and used the install sc

263

16 days ago

spectral369Cadet

Custom Model on Metis SBC

275

2 days ago

PavanKalyanCadet

Voyager SDK SIGILL Crash on ZCU102 Cortex-A53 (ARMv8.0-A) — LSE Incompatibility

643

3 days ago

malberoCadet

Metis M.2 Bus error loading runtime firmware - Kernel 6.18 / SMMU-v3 compatibility issue

2258

NathanCadet

Subject: Metis AIPU detected on PCIe but not responding – stage0 load failure on RK3588 Compute Board (Voyager SDK 1.5.3)

2347

AlbertaBeefEnsign

Reproducing the FPS/W benchmark claim

332

10 days ago

AnderHuesoCadet

My colleagues don't remember the Ubuntu password

My colleagues don't remember the Ubuntu password and I have to use the miniPC. I have tried some passwords they have given me, but no luck.

211

11 days ago

GiodstLieutenant Commander

Run a custom model with end-to-end C/C++ pipeline

manoj bhatCadet

nickCadet

Voyager v1.6.0 on portenta

263

16 days ago

Haruto WatanabeCadet