Raspberry Pi Hats / Add-on-Boards DX-M1 AI Accelerator M.2 delivers 25 TOPS (INT8) in an M.2 2280 form factor at 25W. Features 4GB LPDDR5 and PCIe Gen3 x4 for low-latency edge AI. Compatible with Raspberry Pi 5, LattePanda, x86/ARM; supports PyTorch, ONNX, TensorFlow via DXNN SDK.

System-auf-Modulen - SOM 128MB DDR3, 4GB eMMC, industrial

System-auf-Modulen - SOM CM4108016 - Compute Module 4 Rev5

System-auf-Modulen - SOM ConnectCore MP15, STM32MP157C, Dual A7, M4, GPU, 512MB SLC NAND, 512MB DDR3, 1xGbE, 802.11a/b/g/n/ac 1x1, Bluetooth 5.2

System-auf-Modulen - SOM 00711200VerdinAM62S512MB

System-auf-Modulen - SOM Zeus Zynq Ultrascale+ MPSoC Version Indus

System-auf-Modulen - SOM Zynq UltraScale+ ZU11EG (-1 Speed) MPSoC SOM with 4GB PS DDR4 with ECC, Dual 4GB PL DDR4, 8GB eMMC - boot code (Industrial grade)

Computer-On-Module - COM COM-HPC Mini module based on Intel Core i7-1365URE processor with 2 P-cores 1.7GHz up to 4.9GHz Turbo and 8 E-cores 1.2GHz up to 3.7GHz Turbo 12MB Intel Smart Cache Intel Iris Xe Graphics architecture with 96 EUs 32GB onboard LPDDR5x memor

System-auf-Modulen - SOM UltraSOM+ MPSoC Module with Zynq UltraScale+ ZU6EG-1E, 4 GByte DDR4

Computer-On-Module - COM Express-DN7-C3808Basic Size COM Express Type7 module with Intel Denverton-NS C3808, 12C processor at 2.0 GHz

System-auf-Modulen - SOM 2GB LPDDR4, 16GB eMMC, commercial

Computer-On-Module - COM JUMPtec COMe-bBD7R E2 D-1539 10G-KR