Edge AI Box for Local AI Processing

Edge AI Box

The Edge AI Box is a compact, high-performance computing unit built for local AI model execution in real time. It is designed for video, sensor, and automation workloads in factories, retail, and logistics, enabling low-latency decision-making without relying on cloud connectivity.

Local AI inference for real-time workloads

By using an onboard CPU, GPU, and NPU architecture, the Edge AI Box supports processing directly at the edge. This makes it suitable for deployments where data needs to be analyzed and acted on locally with minimal delay.

High-performance compute platform

The system is equipped with an 8-core Qualcomm® Kryo 670 CPU and up to 8GB LPDDR5 RAM. This provides a solid foundation for compute-intensive edge workloads, AI models, and local automation logic.

Comprehensive wireless connectivity

For connected edge deployments, the platform supports 5G/LTE, Wi-Fi 6, Bluetooth 5.2, and multi-constellation GNSS. This enables flexible integration into mobile, fixed, and distributed infrastructures.

Vision and multimedia capabilities

For camera-based workloads, the system includes dual 4-lane MIPI CSI camera inputs. It also supports 4K video encoder and decoder capabilities, making it relevant for visual edge AI and video analytics scenarios.

Rugged operation for demanding environments

The Edge AI Box is specified for operation from -30°C to 105°C and uses a typical 12V power supply. This supports deployment in environments where robust and reliable local processing is required.

Flexible storage and industrial I/O

The platform includes 128GB UFS 3.1, support for M.2 SSDs, and serial interfaces such as RS232 and RS485. This simplifies integration with additional storage and connected industrial peripherals.

Application Areas

• Local AI inference in manufacturing and automation environments
• Edge-based video analytics and camera-driven real-time processing
• Retail analytics and intelligent in-store automation
• Logistics systems with local data processing and low-latency response
• Sensor fusion and decentralized decision-making at the edge
• Cloud-independent edge computing in distributed infrastructures

For project inquiries or integration into your edge AI solution, please use our contact page, call 089 895050, or email store-ate@atxx.de.

Technical Specifications

• Product type: Edge AI Box
• Deployment concept: Local AI processing / edge computing
• Compute architecture: Onboard CPU, GPU, and NPU
• CPU: 8-core Qualcomm® Kryo 670
• Memory: Up to 8GB LPDDR5 RAM
• Cellular: 5G / LTE
• Wireless LAN: Wi-Fi 6
• Bluetooth: Bluetooth 5.2
• Positioning: Multi-constellation GNSS
• Camera inputs: Dual 4-lane MIPI CSI
• Video: 4K video encoder / decoder
• Onboard storage: 128GB UFS 3.1
• Expandable storage: M.2 SSD support
• Serial interfaces: RS232 / RS485
• Operating temperature: -30°C to 105°C
• Power supply: Typical 12V

FAQ

FAQ

What is the Edge AI Box designed for?

The Edge AI Box is designed for local execution of AI models in real time, especially for video, sensor, and automation tasks in factories, retail, and logistics.

Which compute components are integrated in the Edge AI Box?

The provided information specifies an onboard CPU, GPU, and NPU architecture. The detailed CPU specification is an 8-core Qualcomm® Kryo 670 with up to 8GB LPDDR5 RAM.

Which connectivity options does the Edge AI Box support?

The system supports 5G/LTE, Wi-Fi 6, Bluetooth 5.2, and multi-constellation GNSS for flexible wireless integration.

Is the Edge AI Box suitable for camera-based AI applications?

Yes. The platform includes dual 4-lane MIPI CSI camera inputs and supports 4K video encoder and decoder capabilities, which makes it suitable for visual edge AI scenarios.

What storage and interface options are available?

The platform includes 128GB UFS 3.1, supports M.2 SSDs, and provides serial interfaces such as RS232 and RS485.

Which environmental conditions is the Edge AI Box designed for?

The supplied specifications list an operating temperature range from -30°C to 105°C and a typical 12V power supply for deployment in demanding environments.