AX8850 AI-8850 M.2 LLM Accelerator Kit – 8GB Version

Description

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Description

LLM-8850 Kit is a high-performance AI accelerator kit designed for edge AI and embedded computing scenarios. It consists of the LLM-8850 Card AI accelerator and the LLM-8850 PiHat adapter board. The core LLM-8850 Card is based on the Axera AX8850 SoC and adopts the M.2 M-Key 2242 form factor, delivering up to 24 TOPS @ INT8 of computing power in a compact size. It efficiently accelerates multimodal large-model inference and video analytics workloads. The card integrates an active cooling system with a micro blower fan + CNC aluminum fin heatsink, with intelligent speed control driven by the onboard EC according to a temperature–current curve. This ensures stable low-temperature operation even under long-term full load or in enclosed chassis environments, preventing thermal throttling. The accompanying LLM-8850 PiHat adapter board provides a 2.54-40P bus and a USB Type-C PD power input, and connects to the Raspberry Pi 5 via a PCIe expansion FPC adapter, enabling seamless integration of high-performance AI acceleration on the Raspberry Pi platform for building compact and efficient edge intelligence systems.

Features

• Ultra-compact form factor: M.2 M-Key 2242 size
• High-performance NPU: 24 TOPS @ INT8, octa-core Cortex-A55 1.7 GHz CPU
• Intelligent cooling / power: onboard blower fan + CNC aluminum integrated heatsink, EC-monitored temperature–current–speed closed loop
• 8GB (4+4) high-bandwidth memory: 64-bit LPDDR4x, 4266 Mbps
• Hardware video engine: 8K @ 30 fps H.264/H.265 encoding, 8K @ 30 fps decoding, supports 16-channel 1080P parallel decoding
• Secure boot & encryption: AES / DES / 3DES / SHA-256 hardware security module
• Native 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
• USB Type-C PD power input:
  • USB PD3.0 100W protocol
  • DC 24V overvoltage protection
  • Power capability requirement > 9V@3A (27W)

Includes

LLM-8850 Kit (8G) (SKU:AI-002-8G)

• 1 x LLM-8850 Card (8G)
• 1 x LLM-8850 PiHat
• 1 x 2.54-40P Female Header
• 1 x Screw and Standoff Accessory Pack

Applications

• Edge AI inference deployment
• Embedded video analytics
• Raspberry Pi AI computing expansion
• Multimodal large-model implementation

Specifications

Specification	Parameter
SoC	Axera AX8850
CPU	Octa-core Cortex-A55 1.7 GHz
NPU	24 TOPS @ INT8
Video Encoder	8K @ 30 fps H.264/H.265 encoding, supports scaling / cropping
Video Decoder	8K @ 30 fps H.264/H.265 decoding, supports 16-channel 1080P parallel decoding, scaling / cropping
Memory	Optional: 8GB 64-bit LPDDR4x, 4266 Mbps (4+4) / 4GB 64-bit LPDDR4x, 4266 Mbps (2+2)
Storage	32Mbits QSPI NOR Flash (bootloader only)
Form Factor	M.2 M-Key 2242, PCIe 2.0 x2
Cooling	Micro blower fan + CNC aluminum integrated heatsink, EC intelligent thermal control
Operating Temperature	0 ~ 60 °C
Full-load Temperature at Room Temp	70 °C
Adapter Board PD Power	USB PD3.0 100W protocol (DC 9V / 12V / 20V)
Adapter Board Load Capability	Output to Raspberry Pi 5: DC 5V@4A; Output to M.2 accelerator card: DC 3.3V@6A
LLM-8850 Card Power	7W @ 3.3V
Power Requirement	> 9V@3A (27W)
Product Size	LLM-8850 Card: 42.6 x 24.0 x 9.7mm LLM-8850 PiHat: 65.0 x 58.0 x 12.7mm
Product Weight	31.9g
Package Size	165.0 x 90.0 x 17.5mm
Gross Weight	85.0g

Power Supply Notice Please power the entire system via the USB Type-C PD input on the adapter board. The power supply must provide at least 9V@3A (27W). Do not supply power from the Raspberry Pi 5 side to avoid device damage. Reminder The device may become hot during operation. Do not touch it to avoid burns. Device Requirement Due to limited interrupt resources inside the Raspberry Pi, when using PCIe to a 4-lane M.2 adapter, M.2 SSDs and the LLM-8850 cannot be used simultaneously.

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