EC-A8550JD4 QCS8550 AI Computer

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EC-A8550JD4 AI Computer

Equipped with the Qualcomm QCS8550 hexa-core AI processor with a 48 TOPS NPU, it supports mainstream AI models and frameworks. It also features an Adreno 740 GPU for ray tracing and 8K video. It includes multiple expansion interfaces such as HDMI 2.0, RS485, RS232, and USB 3.0, and provides AI model optimization tools, wiki tutorials, and other technical resources for efficient secondary development.

AI Processor QCS8550

Features an hexa-core Kryo CPU in the QCS8550, powered by the ARM architecture with a clock speed of up to 3.36 GHz, delivering robust support for high-performance computing and multitasking.

Private Deployment

Supports private deployment of large-scale Transformer models, including Qwen, Llama, Gemma, DeepSeek-R1, and Phi series.

Deep Learning Frameworks

It supports the QNN AI inference framework and is compatible with deep learning frameworks such as TensorFlow, TensorFlow Lite, PyTorch, and ONNX.

Ray Tracing Technology

Featuring the integrated Adreno 740 GPU, it fully supports ray tracing technology and is compatible with OpenGL ES 3.2, Vulkan 1.2, and the full profile of OpenCL 3.0. Coupled with the Hexagon direct neural acceleration, it delivers enhanced graphics processing and AI computing performance.

Support 8K Video Codec

Supports advanced video processing with 8K@60fps/4K@240fps decoding and 8K@30fps/4K@120fps encoding, delivering exceptionally detailed and smooth ultra-high-definition visuals.

Full Aluminum Alloy Shell

Featuring an industrial-grade all-aluminum alloy casing with fanless cooling design, it ensures stable 24/7 operation to meet diverse industrial application requirements.

Rich Expansion Interfaces

It features expansion interfaces such as a Gigabit Ethernet port, HDMI 2.0, RS485, RS232, CAN, USB 3.0, Type-C, TF Card slot, and SIM Card slot, meeting the peripheral expansion requirements of various scenarios.

Development Toolchain

It provides AI model optimization tools, accompanying source code, tutorials, and technical documentation, lowering the development barrier, simplifying the development process, and making development more efficient.

48 TOPS NPU Computing Power

Integrated 48 TOPS NPU supports mixed-precision computation (INT4 to FP16), enabling powerful edge AI capabilities such as intelligent data processing, voice recognition, and image analysis for most terminal devices.

Application Scenarios

It is widely used in industries such as robotics, drones, smart cameras, edge computing, intelligent security, and smart home.

Robots

Drone

Smart Network Cameras

Edge Computing

Intelligent Security

Smart Home

Interfaces

Specifications

EC-A8550JD4
Basic Specifications	SOC	Qualcomm QCS8550
	CPU	Qualcomm Kryo® CPU: Hexa-core 64-bit (1×GoldPlus@3.2GHz + 2×Gold@2.8GHz + 3×Silver@2.0GHz), 4nm advanced process, maximum frequency up to 3.36GHz
	GPU	Adreno 740 GPU: Supports ray tracing technology, OpenGL ES 3.2, Vulkan 1.2, full-profile OpenCL 3.0, and Adreno NN Direct
	ISP	Equipped with Qualcomm Spectra Cognitive ISP (Image Signal Processor), featuring three 18-bit 36MP ISPs
	NPU	Dual eNPU V3: Equipped with 4 HVX (Hexagon Vector Extensions), 1 HMX (Hexagon Matrix Extension); Computing power up to 48TOPS (INT8), 12TOPS (FP16)
	Codec	Video decoding: 8K@60fps/4K@240fps H.264/VP9/AV1 Video encoding: 8K@30fps/4K@120fps H.264 Supports concurrent 4K@60fps decoding and 4K@60fps encoding for wireless display scenarios
	RAM	16GB LPDDR5X
	Storage	256GB UFS4.0
	OS	Ubuntu, Android, Yocto Linux Software Stack
	Software support	Supports on-premises deployment of large-scale parameter models based on the Transformer architecture, such as large language models (LLMs) including the Deepseek-R1 series, Gemma series, Llama series, Qwen series, Phi series, etc. Supports the QNN AI inference framework, as well as various deep learning frameworks including TensorFlow, TensorFlow Lite, PyTorch, ONNX, etc.
	Power	DC 12V (5.5mm × 2.1mm，support 12V~24V wide voltage input)
	Power consumption	Normal: 9.6W(12V/800mA), Max: 21.6W(12V/1800mA), Min(Sleep): 0.78W(12V/65mA)
	Dimension	188.0mm × 88.44mm × 50.65mm
	Weight	Net weight of computer: 0.79kg, Total weight with package: 1.15kg
	Environment	Operating Temperature: -20℃～60℃, Storage Temperature: -20℃～70℃, Operating Humidity: 10%～90%RH (No condensation)
Interface Specifications	Internet	Ethernet: 2 × RJ45(1000Mbps) WiFi: Extend WiFi/Bluetooth module through M.2 E-KEY (2230), supporting 2.4GHz/5GHz dual band WiFi6 (802.11a/b/g/n/ac/ax) and Bluetooth 5.2 4G: Extend 4G LTE via Mini PCIe (Shared with 5G) 5G: Extend 5G via M.2 B-KEY (Shared with 4G, not mounted by default)
	Video output	1 × HDMI2.0 (Default: 1080P@60Hz, Max: 4K@60Hz)
	Audio output	1 × 3.5mm Audio jack (Supports MIC recording, American standard CTIA)
	USB	2 × USB3.0 (Max: 1A), 1 × Type-C (Flash)
	Other interfaces	1 × SIM Card, 1 × Phoenix connector (8Pin-3.5mm): 1 × RS485, 1 × RS232, 1 × CAN 2.0