Product images are provided for reference and may not represent the exact model, configuration, or included components.

Overview

SKU: PN54-BB7000ETL-A
UPC: 197105940888
Condition: New
Write a Review

ASUS PN54-BB7000ETL-A ExpertCenter PN54 Barebone Mini PC with AMD RyzenTM AI 7 350 Processor Dual

ASUS PN54-BB7000ETL-A Mini PC Overview The ASUS PN54-BB7000ETL-A is a barebone mini PC designed for compact, high-performance computing. It utilizes a…

$773.99
Ships same business day
In stock

Quantity:

Adding to cart… The item has been added
Compatibility guidance available for your deployment
Senior specialists for pre and post-sales support
Authorized sourcing and documentation support
Shipping and lead-time confirmation before install

Laura Bennett, IPSD Senior Specialist

Talk to Laura

200+ hrs training • U.S - based

Senior Specialist • 877-277-7147

ASUS PN54-BB7000ETL-A ExpertCenter PN54 Barebone Mini PC with AMD RyzenTM AI 7 350 Processor Dual

$773.99

Overview

SKU: PN54-BB7000ETL-A
UPC: 197105940888
Condition: New

No Bots, Just Experts

Questions about this product? Free pre-sales support from a senior specialist — product questions, compatibility checks, BOM quotes, price confirmation — typically answered within one business day. Need camera placement or system design work? Engineering time is $175 per hour (qty 1 = 1 hour). Hardware buyers get up to one hour ($175) credited back on their order.

Description

ASUS PN54-BB7000ETL-A Mini PC

Overview

The ASUS PN54-BB7000ETL-A is a barebone mini PC designed for compact, high-performance computing. It utilizes an AMD Ryzen™ AI 7 350 processor with 8 cores and 16 threads, capable of reaching a 5 GHz boost frequency, making it suitable for demanding applications like video analytics workstations or small NVR server roles. Its dual-channel DDR5 memory support and dual storage design provide flexibility for storage-intensive or memory-hungry surveillance tasks. The integrated WiFi 7 and Bluetooth 5.4 ensure high-speed wireless connectivity.

Compatibility

This barebone system requires user-supplied DDR5 SO-DIMM memory modules (up to 64 GB across 2 slots) and storage drives (SSD support). It is designed to integrate with standard USB peripherals and displays. The built-in processor and chipset offer broad OS compatibility, making it suitable for various operating systems used in surveillance management or edge computing deployments.

Installation Notes

The chassis features toolless access for easy internal component installation, simplifying upgrades or initial setup. Dimensions are 7.44 x 6.18 x 5.28 inches (L x W x H), and it weighs 3.26 lb, allowing for flexible mounting options, including VESA mounting (mount included). The system supports standard USB interfaces for peripheral connectivity.

Specifications
Weight: 3.26 lb
Dimensions: 7.44 x 6.18 x 5.28 in (L x W x H)
Interface: USB
Unspsc Code: 43211508
Processor manufacturer: AMD
Processor family: AMD Ryzen™ AI 7
Processor generation: AMD Ryzen AI 300 Series
Processor model: 350
Processor cores: 8
Processor threads: 16
Processor boost frequency: 5 GHz
Processor frequency: 2 GHz
Built-in processor: Yes
L2 cache: 8 MB
L3 cache: 16 MB
Internal memory installed: No
Memory slots type: SO-DIMM
Number of memory slots: 2
Maximum internal memory: 64 GB
Memory channels: Dual-channel
Storage drives installed: No
Supported storage drive types: SSD
Q&A
Reviews
Have Questions?

RELATED PRODUCTS

System Design, Deployment & Technical Support

Support services and planning resources for commercial surveillance, access control, and infrastructure deployments.

Fixed scope • Fixed price

System Design Assistance

  • Get help validating product compatibility
  • Coverage requirements
  • Storage planning and deployment architecture before you buy.
Request Design Help

Deployment & Configuration Support

  • Access fixed-scope support for rollout planning
  • User setup guidance
  • Migration and system standardization across single-site or multi-site deployments
View Support Services

Guides, Tools & Calculators

  • PoE requirements
  • Storage retention
  • Camera selection and deployment methodology
Open Technical Resources