{"product_id":"ai-8850-llm-accelerator-m-2-kit-8gb-version","title":"M5Stack AI-8850 LLM Accelerator M.2 Kit (8GB)","description":"\u003cp\u003e\u003cstrong\u003eThe M5Stack LLM-8850 AI Accelerator Kit adds up to 24 TOPS of AI performance to a Raspberry Pi 5 via PCIe, with active cooling and a compact M.2 design for edge computing projects.\u003c\/strong\u003e\u003c\/p\u003e\n\u003chr\u003e\n\u003cp\u003eThe \u003ca title=\"M5Stack Products\" href=\"\/collections\/m5stack\"\u003eM5Stack\u003c\/a\u003e LLM-8850 AI Accelerator Kit for \u003ca title=\"Raspberry Pi 5\" href=\"\/products\/raspberry-pi-5\"\u003eRaspberry Pi 5\u003c\/a\u003e is a compact edge AI solution designed to bring high-performance inference and video processing to embedded systems.\u003c\/p\u003e\n\u003cp\u003eThe kit includes the LLM-8850 Card AI accelerator and a matching HAT adapter board. At its core, the accelerator card is built around the \u003cstrong\u003eAxera AX8850\u003c\/strong\u003e SoC and uses an \u003cstrong\u003eM.2 M-Key 2242 form factor\u003c\/strong\u003e, delivering up to \u003cstrong\u003e24 TOPS\u003c\/strong\u003e \u003cstrong\u003e(INT8) of compute performance\u003c\/strong\u003e. This makes it well suited for demanding workloads such as multimodal large-model inference and video analytics, all within a small footprint.\u003c\/p\u003e\n\u003cp\u003eTo maintain performance under sustained load, the card features an \u003cstrong\u003eactive cooling system\u003c\/strong\u003e combining a micro blower fan with a CNC aluminium fin heatsink. Fan speed is intelligently controlled by an onboard EC, adjusting based on a temperature–current curve to keep temperatures stable. This helps prevent thermal throttling, even during long periods of heavy use or when installed in enclosed spaces.\u003c\/p\u003e\n\u003cp\u003eThe included LLM-8850 HAT adapter board makes integration with the Raspberry Pi 5 straightforward. It provides a standard 2.54mm 40-pin header interface and a \u003cstrong\u003eUSB Type-C PD input\u003c\/strong\u003e for power delivery. The accelerator connects to the Pi 5 via a PCIe expansion FPC adapter, enabling a high-speed link between the two boards.\u003c\/p\u003e\n\u003cp\u003eTogether, the kit provides a practical way to add significant AI acceleration to a Raspberry Pi-based system, making it suitable for compact edge computing projects that require efficient, high-performance processing.\u003c\/p\u003e\n\u003cp\u003e\u003ciframe title=\"YouTube video player\" src=\"https:\/\/www.youtube.com\/embed\/japNj74ucUM?si=g47a1oRMIQsGH6i-\u0026amp;start=2\" height=\"315\" width=\"560\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003ch2\u003eFeatures\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eUltra-compact form factor: M.2 M-Key 2242 size\u003c\/li\u003e\n\u003cli\u003eHigh-performance NPU: 24 TOPS @ INT8, octa-core Cortex-A55 1.7 GHz CPU\u003c\/li\u003e\n\u003cli\u003eIntelligent cooling \/ power: onboard blower fan + CNC aluminium integrated heatsink, EC-monitored temperature–current–speed closed loop\u003c\/li\u003e\n\u003cli\u003e8GB (4+4) high-bandwidth memory: 64-bit LPDDR4x, 4266 Mbps\u003c\/li\u003e\n\u003cli\u003eHardware video engine: 8K @ 30 fps H.264\/H.265 encoding, 8K @ 30 fps decoding, supports 16-channel 1080P parallel decoding\u003c\/li\u003e\n\u003cli\u003eSecure boot \u0026amp; encryption: AES \/ DES \/ 3DES \/ SHA-256 hardware security module\u003c\/li\u003e\n\u003cli\u003eNative AXCL support: one-click full-stack model deployment for CNN, Transformer, CLIP, Whisper, Llama3.2, Qwen3, InternVL3, etc., with H.264\/H.265 simultaneous encode\/decode transcoding\u003c\/li\u003e\n\u003cli\u003eUSB Type-C PD power input:\n\u003cul\u003e\n\u003cli\u003eUSB PD3.0 100W protocol\u003c\/li\u003e\n\u003cli\u003eDC 24V overvoltage protection\u003c\/li\u003e\n\u003cli\u003ePower capability requirement \u0026gt; 9V@3A (27W)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSoC\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eAxera AX8850\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eOcta-core Cortex-A55 1.7 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eNPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e24 TOPS @ INT8\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eVideo Encoder\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8K @ 30 fps H.264\/H.265 encoding, supports scaling \/ cropping\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eVideo Decoder\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8K @ 30 fps H.264\/H.265 decoding, supports 16-channel 1080P parallel decoding, scaling \/ cropping\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMemory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e8GB 64-bit LPDDR4x, 4266 Mbps (4+4)\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eStorage\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e32Mbits QSPI NOR Flash (bootloader only)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eForm Factor\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eM.2 M-Key 2242, PCIe 2.0 x2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCooling\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eMicro blower fan + CNC aluminum integrated heatsink, EC intelligent thermal control\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eOperating Temperature\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e0 ~ 60 °C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eFull-load Temperature at Room Temp\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e70 °C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAdapter Board PD Power\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eUSB PD3.0 100W protocol (DC 9V \/ 12V \/ 20V)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAdapter Board Load Capability\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eOutput to Raspberry Pi 5: DC 5V@4A; Output to M.2 accelerator card: DC 3.3V@6A\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eLLM-8850 Card Power\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e7W @ 3.3V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePower Requirement\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u0026gt; 9V@3A (27W)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eProduct Size\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eLLM-8850 Card: 42.6 x 24.0 x 9.7mm\u003cbr\u003eLLM-8850 PiHat: 65.0 x 58.0 x 12.7mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eProduct Weight\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e31.9g\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003eResources\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca title=\"Learn\" rel=\"noopener\" href=\"https:\/\/docs.m5stack.com\/en\/ai_hardware\/LLM-8850_Kit\" target=\"_blank\"\u003eProduct Wiki\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003ePackage Contents\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e1x LLM-8850 Card (8GB)\u003c\/li\u003e\n\u003cli\u003e1x LLM-8850 HAT\u003c\/li\u003e\n\u003cli\u003e1x 40-pin Header\u003c\/li\u003e\n\u003cli\u003e1x Screw and Standoff Accessory Pack\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eRaspberry Pi not included\u003c\/strong\u003e\u003c\/p\u003e","brand":"M5Stack","offers":[{"title":"Default Title","offer_id":55445709390209,"sku":"AI-002-8G","price":206.4,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0176\/3274\/files\/ai-8850-llm-accelerator-m-2-kit-8gb-version-m5stack-ai-002-8g-1227807619.jpg?v=1773831249","url":"https:\/\/thepihut.com\/products\/ai-8850-llm-accelerator-m-2-kit-8gb-version","provider":"The Pi Hut","version":"1.0","type":"link"}