The Radxa Zero 2 PRO is a compact single-board computer (SBC) that delivers high performance in a small form factor. It is powered by the Amlogic A311D SoC, which includes a quad-core Cortex-A73 CPU running at 2.2GHz and a dual-core Cortex-A53 CPU at 1.8GHz. The SBC is equipped with an Arm G52 MP4 GPU and a neural network accelerator capable of up to 5 TOPS@INT8, making it suitable for deep learning applications. It features 4GB of LPDDR4 RAM and offers onboard eMMC storage options of 16GB, 32GB, or 64GB. For connectivity, the Radxa Zero 2 PRO provides Micro HDMI supporting 4K@60fps, dual-mode WiFi 5, Bluetooth 5.0, and a variety of USB ports. It also includes a 40-pin GPIO header for hardware expansion.
In terms of pricing and availability, the Radxa Zero 2 PRO starts at $64.99 for the 4GB RAM and 16GB eMMC storage configuration. There are also plans for a $55 model with 4GB of RAM but without onboard storage, although this version is not yet in stock. Other configurations with up to 8GB of RAM and 64GB of storage are anticipated. The product is available for purchase through Radxa’s network of approved partners, and potential buyers can visit the Radxa website for more information on where to buy the SBC.
Pocket-Sized Micro PCs
The Zero 2 PRO from Radxa is an ARM-Based PC that Fits in a Wallet
Trend Themes
1. Compact Computing Solutions - Opportunity lies in creating more powerful and feature-rich micro PCs with compact form factors for diverse applications.
2. Enhanced Deep Learning Capabilities - Exploring ways to integrate higher performing neural network accelerators into micro PCs can open up new possibilities in deep learning applications.
3. Versatile Connectivity Options - Developing micro PCs with advanced connectivity features like 4K video support and dual-mode WiFi can cater to a range of user needs.
Industry Implications
1. Technology Hardware - The technology hardware industry can capitalize on the demand for innovative micro PCs that offer high performance in compact designs.
2. Artificial Intelligence - The artificial intelligence industry can leverage micro PCs with enhanced deep learning capabilities to drive innovation in AI-powered solutions.
3. Consumer Electronics - Consumer electronics companies have the opportunity to develop micro PCs with versatile connectivity options to meet the evolving needs of tech-savvy consumers.