Big update from the Metis world: the epic new 4-core PCIe card is now available to order over on the store.
Huge performance shift that opens up seriously scalable edge AI.
📊 Key specs:
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856 TOPS (INT8)
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Choice of 16GB and 64GB DRAM
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~12,800 FPS on ResNet-50
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Runs dozens of streams or parallel models per board
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30–58W typical power draw
It’s not just the raw speed, it’s the ability to compress multi-camera inference, object detection, tracking, segmentation, and more into a single card that I find especially exciting. You can prototype in days, using the Voyager SDK’s YAML-based pipeline builder and model zoo (everything from YOLOv5 to small LLMs).
The benchmarks are where it gets interesting. YOLOv5m hits 1539 FPS at 640x640! YOLOv7 manages 859 FPS, YOLOv8l gets 720 FPS. For context, that's enough to process dozens of camera streams simultaneously without breaking a sweat.
If you’re testing edge-heavy ideas (multi-stream CV, robotics, smart cities), this is one to keep on your radar. Any thoughts on what you might build with a beast like this?
https://store.axelera.ai/products/pcie-ai-accelerator-card-powered-by-4-metis-aipu
(Datasheet attached)
