Bringing Ultralytics YOLO models to Axelera AI hardware for edge AI!

[NLadi]

Find out about the new export integration supported by the Ultralytics Python package in collaboration with Axelera AI for efficient high-performance edge AI.

Learn more ➡️ https://www.ultralytics.com/blog/bringing-ultralytics-yolo-models-to-axelera-ai-hardware-for-edge-ai

[UltralyticsAssistant]

👋 Hello @NLadi, thank you for sharing this exciting Ultralytics update 🚀 This is an automated response to help guide the discussion, and an Ultralytics engineer will also assist here soon.

For anyone exploring Ultralytics and YOLO, we recommend a visit to the Docs where you can find many Python and CLI usage examples and where many common questions may already be answered.

If this discussion leads to a 🐛 Bug Report, please provide a minimum reproducible example to help us debug it.

If this turns into a custom training ❓ Question, please provide as much information as possible, including dataset image examples and training logs, and verify you are following our Tips for Best Training Results.

Join the Ultralytics community where it suits you best 💬 For real-time chat, head to Discord 🎧. Prefer in-depth discussions? Check out Discourse. Or dive into threads on our Subreddit to share knowledge with the community.

Upgrade

Upgrade to the latest ultralytics package including all requirements in a Python>=3.8 environment with PyTorch>=1.8 to verify any related issue is not already resolved in the latest version:

pip install -U ultralytics

Environments

YOLO may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):

• Notebooks with free GPU:
• Google Cloud Deep Learning VM. See GCP Quickstart Guide
• Amazon Deep Learning AMI. See AWS Quickstart Guide
• Docker Image. See Docker Quickstart Guide

Status

If this badge is green, all Ultralytics CI tests are currently passing. CI tests verify correct operation of all YOLO Modes and Tasks on macOS, Windows, and Ubuntu every 24 hours and on every commit.

[glenn-jocher]

Thanks for sharing this update, @NLadi — for anyone testing it, the Axelera AI export guide covers the format="axelera" workflow for deploying Ultralytics YOLO on Metis hardware, and please drop any setup or deployment questions here so the Ultralytics team can help.