Banana Pi BPI-SM9 Module - BM1688 AI SoM with 8GB LPDDR4x and 32GB eMMCThe Banana Pi BPI-SM9 Module is an AI compute module built around the SOPHGO BM1688 processor for edge inference, video analytics, industrial AI, and embedded vision workloads. The official Banana Pi documentation lists an 8-core Arm Cortex-A53 CPU at 1.6 GHz, 8 GB LPDDR4x, 32 GB eMMC 5.1, 260-pin SO-DIMM form factor, and mixed-precision AI support across INT4, INT8, FP16, BF16, and FP32. The same official page also states support for 16-channel HD video intelligent analysis, making the module suitable for smart servers, edge boxes, AIOT systems, industrial computers, and vision-centric embedded products.Banana Pi also documents rich I/O on the BPI-SM9 platform, including 2 x GbE, 2 x SATA 3.0, 2 x USB 3.0, HDMI 2.0, 2 x MIPI-CSI, M.2 Key M, M.2 Key E, CAN, UART, I2C, SPI, PWM, and SD/SDIO. The module is described as pin-to-pin compatible with NVIDIA Orin Nano/NX style modules while offering a broader pin list and flexible pinmux. For storage and bring-up workflows, you can pair it with the SanDisk 64GB High-Speed MicroSD Card, and for comparison with another Banana Pi compute-oriented accessory you can also review the Banana Pi BPI-CM5 PRO IO. The underlying AI processor is further described on the official SOPHGO BM1688 page.Technical Specifications Product Type AI compute module / system-on-module Processor SOPHGO BM1688 CPU 8-core Arm Cortex-A53, 1.6 GHz AI Compute 16 TOPS INT8, mixed precision INT4 / INT8 / FP16 / BF16 / FP32 Memory 8 GB LPDDR4x, 64-bit, 4266 Mbps Flash 32 GB eMMC 5.1 Removable Storage 1 x TF card interface Network 2 x GbE USB 2 x USB 3.0, 1 x USB 2.0 Display 1 x HDMI 2.0 Camera 2 x MIPI-CSI camera interfaces Expansion 1 x M.2 Key M, 1 x M.2 Key E, PCIe Gen3 x2, CAN, UART, I2C, SPI, PWM, GPIO SATA 2 x SATA 3.0 Power Input 12 V DC typical, 11 V to 13 V range Operating Temperature -10 C to +60 C Connector 260-pin SO-DIMM Module Size 100 x 79 x 16 mm Software Ubuntu 22.04 / Linux 5.10 / QT 5.15 Board Layout & Label Guide 260-pin SO-DIMM Edge Connector - Main carrier-board interface for power, buses, and peripheral signals. Dual GbE Interfaces - Suitable for networked AI gateways, video appliances, and edge servers. M.2 Key M and Key E - Supports storage and wireless or accelerator-oriented expansion paths depending on carrier design. Dual SATA 3.0 - Useful for edge storage, NVR, or data-capture appliances. HDMI 2.0 Output - Supports local display output for diagnostics, HMI, or demo systems. Dual MIPI-CSI Inputs - Supports camera-based vision pipelines and embedded perception systems. USB 3.0 and USB 2.0 - Connect storage, service devices, or peripherals during bring-up and deployment. CAN / UART / I2C / SPI / PWM - Enables industrial control, sensor integration, and carrier-board customization. Packing List 1 x Banana Pi BPI-SM9 Module FAQQ: What processor does the BPI-SM9 use?A: It uses the SOPHGO BM1688, which Banana Pi documents as a highly integrated AI and vision processor.Q: How much memory and onboard storage are included?A: This version is documented with 8 GB LPDDR4x memory and 32 GB eMMC 5.1 storage.Q: Is the module compatible with Jetson-style carrier layouts?A: Banana Pi states that the module is pin-to-pin compatible with NVIDIA Orin Nano and NX style modules while exposing a broader pin list and pinmux flexibility.Q: What workloads is it suited for?A: It is positioned for edge AI, multi-channel video analysis, industrial AI, AIOT systems, and embedded vision products.Q: Which operating systems are documented?A: Banana Pi lists Ubuntu 22.04 with Linux 5.10 and QT 5.15 in the official specifications.Q: Does it support camera input?A: Yes. The official documentation lists 2 x MIPI-CSI camera interfaces.Q: What power input should the carrier provide?A: The official operating parameter table lists 12 V typical input, with an 11 V to 13 V range.Q: Is this a complete development kit?A: No. This listing is for the compute module itself; a compatible carrier or development platform is required for deployment.
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