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ASUS ROG Zephyrus Duo 16 GX651AX 16-inch 3K AI 2-in-1 Laptop – Intel Core Ultra 9 386H 2TB SSD 64GB RAM RTX 5090 Win 11 Home Stellar Grey


  • Brand: ASUS
  • Part number: 90NR0NT2-M004W0
  • Price includes 15% VAT

R167 898,85 incl. VAT

  • Delivery: In-stock items ship in 1–3 business days. Courier 1–2 days in Gauteng (R150), 2–5 days elsewhere in SA (R180). Details
  • Collection: 152 Dallas Ave, Waterkloof Glen, Pretoria (R50).
  • Warranty: Manufacturer warranty (usually 12 months or more) plus 6-month CPA cover on defects. Returns & warranty
  • Tax invoice: Add your company name and VAT number at checkout.

This 16-inch ASUS ROG Zephyrus Duo 16 GX651AX 2-in-1 convertible laptop brings together an Intel Core Ultra 9 386H processor, 64GB RAM and a 2TB SSD, along with a 3K display.

It is aimed at gamers and streamers who want high frame rates in modern titles, with enough power left over for editing and content creation. The RTX 5090 graphics card adds serious GPU power for gaming, rendering and creative software. Its processor includes on-chip AI acceleration for features such as background blur, noise cancellation and Copilot experiences. The convertible design lets you switch between laptop and tablet use for presenting, note-taking and touch work.

64GB of memory means large projects, datasets and creative apps stay fast and responsive. Storage is a 2TB SSD, so apps open quickly and the system feels snappy. It ships with Windows 11 Home, ready to use out of the box.

Key specifications

  • Display: 16-inch 3K
  • Processor: Intel Core Ultra 9 386H
  • Memory: 64GB RAM
  • Storage: 2TB SSD
  • Graphics: RTX 5090
  • Operating system: Windows 11 Home
  • Brand: ASUS
  • Part number: 90NR0NT2-M004W0

Order from FOCI Distribution in Pretoria: VAT-inclusive pricing, nationwide courier delivery and the option to collect in Waterkloof Glen. Business customers can request a formal quote.

Specifications are based on the manufacturer part number 90NR0NT2-M004W0. Please confirm the exact configuration before ordering if a specific feature is critical.

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