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AIBOX-8550 Computers

48 TOPS Computing Power NPU

· High-Performance AI Processor QCS8550

· Deployment of Large AI Models

· Supports Ray Tracing Technology

· 8K Video Encoding and Decoding  

· Powerful Network Capabilities

· Metal Casing for Efficient Heat Dissipation

· Rich Expansion Interfaces

· Comprehensive Development Toolchain

Manual Wiki Download

Qwen

Llama

DeepSeek

Gemma

AIBOX-8550
AIBOX-8550 Computers

 Features the Qualcomm QCS8550 octa-core AI processor with an integrated 48 TOPS NPU, supporting mainstream AI models and deep learning frameworks. The built-in Adreno 740 GPU enables ray tracing and 8K video codec. Housed in an industrial-grade all-metal casing for efficient heat dissipation, it ensures 24/7 stable operation to meet rigorous industrial demands.

AI Processor QCS8550

Features an octa-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) and mainstream deep learning frameworks like TensorFlow, PyTorch, Caffe and ONNX.

Ray Tracing Technology

Equipped with the Adreno 740 GPU, it delivers full ray tracing support and is compatible with OpenGL ES 3.2, Vulkan 1.2, and OpenCL 3.0. Combined with Adreno Neural Processing, it significantly boosts both graphics and AI computing performance.

8K Video Codec Support

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.

Network Capabilities

Supports dual Gigabit Ethernet for high-speed, stable communication and runs on the secure Linux OS, ensuring reliability across diverse application scenarios.

All-Metal Enclosure

Housed in an industrial-grade all-metal enclosure with an aluminum alloy structure for effective heat conduction, it features a side grille for airflow and a perforated hexagonal top cover for efficient cooling and a sleek aesthetic. This compact yet robust design ensures stable performance in high-temperature environments, meeting various industrial application needs.

Rich Expansion Interfaces

Offers a comprehensive set of expansion ports, including dual Gigabit Ethernet, dual USB 3.0, TF Card, Type-C, HDMI 2.0, and Console, providing flexible connectivity for a wide range of peripherals.

Development Toolchain

We provide a full suite of development resources—including an AI model optimization tool, video processing SDK, source code, tutorials, and technical documentation—to lower the learning curve, streamline workflows, and accelerate development.
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.

Interfaces
Specifications

AIBOX-8550

Basic Specifications

SOC

Qualcomm QCS8550

CPU

Qualcomm Kryo® CPU: Octa-core 64-bit (1×GoldPlus@3.2GHz + (2+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 48 TOPS (INT8), 12 TOPS (FP16)

Codec

Video decoding: 8K@60fps/4K@240fps H.265/H.264/VP9/AV1 Video encoding: 8K@30fps/4K@120fps H.265/H.264 Supports concurrent 4K@60fps decoding and 4K@60fps encoding for wireless display scenarios

RAM

16GB LPDDR5x

Storage

256GB UFS4.0

Storage expansion

1 × M.2 (Expandable PCIe NVMe SSD/SATA SSD, supports 2242/2260/2280 specifications; Inside the device), 1 × TF Card

Power

DC 12V/5A (5.5 × 2.1mm)

Power consumption

Normal: 4.32W(12V/360mA), Max: 20W(12V/1670mA), Min(Sleep): 0.6W(12V/50mA)

OS

Ububtu

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.

Size

93.4mm × 93.4mm × 50.0mm

Weight

≈ 500g

Environment

Operating Temperature: -20℃～60℃, Storage Temperature: -20℃～70℃, Operating Humidity: 10%～90%RH (No condensation)

Interface Specifications

Ethernet

2 × Gigabit Ethernet (1000Mbps/RJ45)

Video output

1 × HDMI2.0 (1080P)

USB

2 × USB3.0 (Max: 1A), 1 × Type-C (For download)

Console

1 × Console (Debug serial)

Button

1 × Power, 1 × Recovery
Customization

Firefly team, with over 20 years of experience in product design, research and development, and production, provides you with services such as hardware, software, complete machine customization, and OEM server.

Hardware Solution

Software Solution

Turnkey Solution