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Review

Khadas Edge2: An AI-ready Single-Board Computer powerhouse 

 August 15, 2024

By  Peter

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The Khadas Edge2 is a high-performance ARM-based single-board computer designed for advanced applications. Powered by the Rockchip RK3588S SoC, it features an octa-core CPU, a quad-core GPU, and a 6 TOPS NPU for AI tasks. It supports up to 16GB of RAM, offers 8K video decoding and encoding, and includes Wi-Fi 6 and Bluetooth 5.0 connectivity. The Edge2 suits edge computing, AI, VR/AR, and more. It’s available as a finished product or a Maker Kit (bare-bones board) for developers.

The Edge2’s open ecosystem, comprehensive documentation, and active community further enhance its appeal, making it a versatile platform for innovative development projects.

Key Features

Let’s take a closer look at the Edge2’s technical specifications. If you want more detailed information, I recommend visiting the Khadas website.

CPU, GPU, & NPU

The Edge2 is equipped with the Rockchip RK3588S SoC, featuring an octa-core CPU, a quad-core GPU, and a 6 TOPS NPU designed for AI and machine learning tasks. The NPU, or Neural Processing Unit, is a specialized component optimized for neural network computations like image recognition and natural language processing. With a performance of 6 TOPS (Trillions of Operations Per Second), the NPU significantly enhances the device’s ability to execute complex AI models and algorithms efficiently. While I’m still exploring the full capabilities of this NPU, it’s clear that it enables powerful AI applications to run locally, reducing the need to rely on cloud services. This is something I’m excited to dive into further.

RAM & Storage

Depending on the model, the Edge2 supports 8GB or 16GB of LPDDR4X RAM and offers 32GB or 64GB of eMMC storage.

Connectivity

The Edge2 includes Wi-Fi 6, Bluetooth 5.0, and multiple I/O ports, making it highly versatile for various projects.

Video Capabilities

The Edge2 supports 8K video decoding and encoding, ideal for high-resolution media applications and AI-driven tasks.

The Khadas Edge2 with a fan, heatsink, and 3D-printed case.

Potential Applications

The Edge2 is suitable for various applications, from edge computing to AI projects, VR/AR development, and IoT.

Edge Computing

The Edge2 excels in edge computing, where processing is done locally on the device rather than on cloud servers. For example, it can be used in smart city applications to analyze real-time traffic data, reducing latency and bandwidth usage.

AI Projects

With its 6 TOPS NPU, the Edge2 is ideal for AI tasks like image recognition in security systems or natural language processing in voice assistants, enabling fast and efficient AI model deployment.

VR/AR Development

The Edge2’s powerful GPU and 8K video support make it suitable for VR/AR applications, such as creating immersive training simulations or interactive educational content.

IoT (Internet of Things)

Its robust connectivity options, including Wi-Fi 6 and Bluetooth 5.0, make the Edge2 a strong candidate for IoT projects, such as smart home automation systems or industrial monitoring solutions, where it can manage and process data from various sensors in real time.

Comparison with the Raspberry Pi 5

Let’s compare the Edge2 with the Raspberry Pi 5, considered the gold standard in single-board computing.

Performance

The Khadas Edge2, with its octa-core Rockchip RK3588S SoC and 6 TOPS NPU, offers significantly higher processing power than the Raspberry Pi 5, which features a quad-core ARM Cortex-A76 CPU. This makes the Edge2 better suited for AI and heavy computational tasks.

Graphics

The Edge2 supports 8K video decoding and encoding, surpassing the Raspberry Pi 5’s 4K capabilities. This makes it a stronger option for multimedia and VR/AR applications.

Connectivity

Both boards offer Wi-Fi 6 and Bluetooth 5.0, but the Edge2 has more versatile expansion options, including NVMe SSD support, which the Raspberry Pi 5 lacks.

Use Cases

While the Raspberry Pi 5 is a solid choice for general-purpose projects and education, the Edge2 is better positioned for advanced applications like AI, edge computing, and high-resolution video processing.

The Edge2 is a pocket AI powerhouse, but I could not resist playing Doom on Batocera.

5. Getting Started

Here’s a quick guide to setting up the Edge2, including available OS options and developer resources.

Cooling Requirements

The Edge2 requires a fan and heatsink for optimal performance, especially under heavy workloads. This helps prevent thermal throttling and ensures stable operation.

Power Supply

Use a sufficient power supply, typically 24W (12V/2A) or higher, to avoid undervoltage issues and to support all peripherals.

OOWOW Firmware

The Edge2 comes with the OOWOW firmware, a built-in tool that simplifies the installation of an operating system. You can download and install various OS options directly from the OOWOW interface.

Setup Process:

  1. Connect the Cooling System: Attach the fan and heatsink to ensure proper cooling.
  2. Power Up: Connect the Edge2 to a reliable power supply.
  3. Access OOWOW: Access the OOWOW firmware upon booting to choose and install your preferred operating system.
  4. Install OS: Follow the on-screen instructions in OOWOW to download and install an OS like Ubuntu, Android, or others.
  5. Configure Settings: Once the OS is installed, configure any necessary settings and explore Edge2’s capabilities.

With these steps, you’ll be ready to start developing and experimenting with the Khadas Edge2.

Community and Support

The Khadas community is a vibrant and supportive ecosystem for developers and Makers. The official Khadas forums are a hub for discussion, troubleshooting, and project sharing, where you can interact with other users and get help from the community. Additionally, Khadas provides extensive documentation, including setup guides, API references, and tutorials, to help you maximize your Edge2 and other Khadas products. This wealth of resources makes starting and advancing your projects easier.

Conclusion

The Khadas Edge2 stands out as a powerful tool for Makers. It offers high-performance hardware with an octa-core CPU, a 6 TOPS NPU for AI, and 8K video capabilities. Its versatility in handling advanced applications like edge computing, AI, VR/AR, and IoT makes it ideal for innovative projects. The strong community support and extensive documentation further enhance its appeal. If you’re looking for a robust platform to bring your ideas to life, the Edge2 is worth exploring.


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