Model accuracy dropped after compiling? In our community threads it usually isn't the quantization. More often it's RGB where RGBA was expected, or post-processing the compiler detached. Run the same dataset through torch, torch-aipu and gst to find out: eu1.hubs.ly/H0xF5tn0
A powerful, efficient, cost-effective, and user-friendly hardware and software AI platform to accelerate computer vision in edge devices.
- Medical imaging data is exploding, leaving trained radiologists facing severe burnout and long backlogs. AI doesn't replace doctors, it empowers them. Our partner @MicronTech highlights how Axelera Metis® AIPUs and Micron LPDDR4 memory deliver real-time scan analysis right at
- Someone lost days to PCIe enumeration failures on an RK3588 board. Another community member on the same board posted what actually worked: mainline kernel 6.18, no kernel parameters, 165 FPS on YOLOv8s at 23.5ms. Thread: eu1.hubs.ly/H0xF5zw0
- At AI Infra Summit 2026 (Santa Clara, Sept 15–17), explore how physical AI architecture handles natural language video search and multi-tier edge workloads. Don’t miss CEO Fabrizio Del Maffeo's talk: "The Physical AI Inflection Point." Booth #930 | Book a demo:
- One camera, no stereo rig, no lidar, and a dense depth map at 30 FPS on 1080p. Sanket Shah deployed ZipDepth (CVPR 2026) on an Axelera AI accelerator. Four stages, two on the AIPU at 110 FPS, two on the host. Same frame rate the paper gets from a 15W Jetson. How he did it:

