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:
- 856 TOPS (INT8)
- Choice of 16GB and 64GB DRAM
- ~12,800 FPS on ResNet-50
- Runs dozens of streams or parallel models per board
- 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 640×640! 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
