| Management number | 241234176 | Release Date | 2026/07/17 | List Price | US$248.40 | Model Number | 241234176 | ||
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The ASUS PN65-BB7000ETL-NL is a barebone mini PC designed to deliver full-size desktop performance in a compact chassis that fits easily behind a monitor or under a desk. Powered by the Intel Core Ultra 7 155H processor with 16 cores and an integrated NPU, it provides the processing power needed for AI workloads, code compilation, and multitasking. With support for up to 96 GB of DDR5 5600 MHz memory and flexible storage options, this mini PC adapts to a wide range of professional and creative applications.
This mini PC offers a wide range of connectivity options to fit various setups. Dual HDMI 2.1 ports and USB-C connectors with DisplayPort support make it straightforward to connect Ultra HD monitors. The inclusion of Wi-Fi 7 and Bluetooth 5.4 ensures fast wireless connections, while dual 2.5 Gb Ethernet ports provide low-latency wired networking for demanding environments. Multiple USB ports accommodate peripherals such as external drives, capture devices, and charging for compatible accessories.
The combination of a powerful 16-core Intel Core Ultra 7 processor and high-speed DDR5 memory allows this mini PC to handle intensive workloads, including AI inference, software development, and multimedia editing. Its self-cleaning cooling system prevents dust buildup, maintaining stable performance even during continuous operation. The tool-less design supports quick upgrades and maintenance, reducing downtime and extending the device’s lifespan.
This compact yet powerful mini PC fits well in professional settings that require strong computing capabilities without a large footprint. It is suitable for developers, analysts, and creative teams who need multi-display support and fast storage. Additionally, it works well in environments like trading floors, digital signage installations, classrooms, and front-office counters where reliability and quiet operation are important. Its flexible configuration options make it a strong choice for building custom workstations or edge devices for AI applications.
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