Description M5Stack AI-8850 LLM Acceleration M.2 Kit 4GB Version (AX8850) is a compact M.2 LLM accelerator for edge AI inference, embedded video analysis, and Raspberry Pi 5 AI expansion. The M5-AI-002-4G kit combines the LLM-8850 Card 4G and the LLM-8850 PiHat adapter board, making the Axera AX8850 AI SoC easier to integrate into PCIe-ready embedded systems. The M5Stack AI-8850 LLM Acceleration M.2 Kit 4GB Version delivers 24 TOPS INT8 NPU performance in an M.2 M-Key 2242 form factor. With 4GB 64-bit LPDDR4x memory, PCIe 2.0 x2, active cooling, and USB Type-C PD power input on the PiHat, this edge AI accelerator is suited for local LLM inference, multimodal AI workloads, computer vision, and compact AI prototyping. For developers building a Raspberry Pi 5 AI kit, the M5-AI-002-4G provides a practical hardware path for adding an AX8850 NPU to Raspberry Pi 5 through the included PiHat and PCIe expansion FPC adapter. The M5Stack AI-8850 LLM Acceleration M.2 Kit is a strong fit for embedded AI projects that need a compact edge AI accelerator and local inference capability without relying fully on cloud processing. Features AX8850 AI SoC with 24 TOPS INT8 NPU acceleration for edge AI inference. M5-AI-002-4G 4GB version with 64-bit LPDDR4x memory at 4266 Mbps. M.2 LLM accelerator card in M.2 M-Key 2242 format for compact embedded integration. M5Stack AI-8850 LLM Acceleration M.2 Kit hardware design for 4GB edge AI accelerator projects. Includes LLM-8850 PiHat adapter board for Raspberry Pi 5 AI expansion. PCIe 2.0 x2 interface for connecting the AX8850 accelerator to supported host platforms. Active cooling with micro turbine fan, CNC aluminum heatsink, and EC intelligent temperature control. Hardware video engine supports H.264/H.265 encoding and decoding for embedded video analysis. Supports AI workloads such as CNN, Transformer, CLIP, Whisper, Llama, Qwen, and multimodal model deployment. USB Type-C PD power input supports USB PD3.0 100W protocol with 9V, 12V, and 20V input options. Compatible with Ubuntu, Debian, Windows 10, and Windows 11 environments listed by M5Stack. Specifications Item Specification SKU M5-AI-002-4G Product Name M5Stack AI-8850 LLM Acceleration M.2 Kit 4GB Version (AX8850) AI SoC Axera AX8850 CPU Octa-core Cortex-A55 1.7GHz NPU 24 TOPS INT8 Memory 4GB 64-bit LPDDR4x, 4266 Mbps (2+2) Storage 32Mbits QSPI NOR Flash for bootloader Form Factor M.2 M-Key 2242 Host Interface PCIe 2.0 x2 Video Encoder 8K at 30fps H.264/H.265 encoding, supports scaling and cropping Video Decoder 8K at 30fps H.264/H.265 decoding, supports 16-channel 1080P parallel decoding Cooling Micro turbine fan and aluminum alloy CNC integrated heatsink with EC intelligent temperature control Adapter Board Power Input USB PD3.0 100W protocol, DC 9V / 12V / 20V Adapter Board Load Capability 5V at 4A output to Raspberry Pi 5; 3.3V at 6A output to M.2 accelerator card LLM-8850 Card Power Consumption 7W at 3.3V Power Supply Requirement Greater than 9V at 3A, 27W or higher Operating Ambient Temperature 0 to 60C Full Load Temperature at Room Ambient 70C LLM-8850 Card Size 42.6 x 24.0 x 9.7mm PiHat Adapter Board Size 65.0 x 58.0 x 12.7mm including LLM-8850 Card Product Weight 30.8g Package Size 165.0 x 90.0 x 17.5mm Gross Weight 81.7g Applications Edge AI inference deployment with the AX8850 accelerator. Local LLM acceleration on Raspberry Pi 5 and PCIe-ready embedded systems. Embedded video analysis, object detection, and computer vision pipelines. Multimodal AI model deployment for compact edge devices. Industrial AI gateways, smart cameras, and local inference nodes. AI prototyping where a compact 4GB M.2 LLM accelerator is preferred. Raspberry Pi 5 AI kit development using a dedicated edge AI accelerator. Product List 1 x LLM-8850 Card 4G 1 x LLM-8850 PiHat 1 x 2.54-40P Female Header 1 x Screw and Copper Standoff Kit Other Content Power the full system through the USB Type-C PD input on the adapter board. M5Stack specifies a power supply greater than 9V at 3A, 27W or higher. Do not power the M5-AI-002-4G setup from the Raspberry Pi 5 side, because the official warning notes a risk of device damage. The AX8850 accelerator can become hot during sustained AI inference; avoid direct contact while the device is operating. When using Raspberry Pi PCIe to 4-lane M.2 expansion, M5Stack notes that an M.2 SSD and LLM-8850 cannot be used together because of interrupt resource limitations. Officially listed compatible operating systems include Ubuntu 20.04, Ubuntu 22.04, Ubuntu 24.04, Debian 12, Debian 13, Windows 10, and Windows 11. macOS, WSL, VMware, and VBox are not listed as supported. Resources M5Stack LLM-8850 Kit Documentation LLM-8850 Card User Guide LLM-8850 Kit Schematic PDF LLM-8850 Card Model Size PDF LLM-8850 PiHat Adapter Board Model Size PDF Axera AX8850 Product Brief FAQ What is M5-AI-002-4G? M5-AI-002-4G is the 4GB version of the M5Stack AI-8850 LLM Acceleration M.2 Kit. It includes an AX8850 based LLM-8850 Card 4G and an LLM-8850 PiHat adapter board. Can this M.2 LLM accelerator work with Raspberry Pi 5? Yes. The kit is designed for Raspberry Pi 5 AI expansion through the included PiHat and PCIe expansion FPC adapter, provided that the system is powered through the adapter board USB Type-C PD input. What is the difference between the 4GB and 8GB versions? This listing is for M5-AI-002-4G, the 4GB LPDDR4x version. M5Stack also lists an 8GB version, but the memory capacity and SKU are different. What AI workloads can the AX8850 kit support? The AX8850 edge AI accelerator is intended for local AI inference, LLM acceleration, computer vision, video analysis, and multimodal model deployment, including model families referenced in M5Stack documentation. What power supply should I use? Use the USB Type-C PD input on the PiHat adapter board. M5Stack specifies a power supply greater than 9V at 3A, or 27W and above.
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