[Formerly the Metis M.2.] Maximise your Axelera Embedded devices – connect, ask, and share to optimise your AI projects with this powerful edge accelerator
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It’s actually not that complicated getting started with an M.2 module, and there’s a good chance that the Metis isn’t the first M.2 you’ve ever had in your hands.But it’s still good policy to familiarise yourself with both the hardware and the software when you’re ready to unbox that little AI beauty.To help with that, we’ve got a series of articles to walk you through…Installation: Handling and installing the M.2 in your host system, and a great tip on how to confirm there’s suitable power getting to it once it’s in place Integration: Top tips on figuring out whether the host PC (or system or platform) is nicely compatible with the needs of the Metis accelerator. Voyager SDK: Once it’s installed and ready, all you need is the Voyager SDK.This is all just to get you started, and then the real work begins! Make sure you share what you’re building right here on the Axelera community 👍
voyager // wingman
Describe your vision pipeline in plain words. Wingman writes the YAML, runs it live on your Metis, and irons out the bugs with you.
the prompt // now open
Pitch it for a chance to win one of 10 Dell XE5s + Metis PCIe to build it on. Closes soon.
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