ASUS ROG G614JI-N4104W RAM upgrade specifications

ASUS G614JI-N4104W ASUS G614JI-N4104W ASUS G614JI-N4104W ASUS G614JI-N4104W ASUS G614JI-N4104W

ASUS ROG Strix G16 G614JI-N4104W laptop features DDR5-SDRAM memory upgrade specifications with 2x SO-DIMM slots supporting maximum capacity of 32 GB. Compatible memory modules operate at 4800 MHz frequency. The SO-DIMM form factor provides standard upgrade configuration for this gaming laptop model. Specifications enable enhanced multitasking and performance capabilities through supported RAM capacity expansion.

Memory Upgrade Specifications

SpecificationValue
Memory slots2x SO-DIMM
Form factorSO-DIMM
Memory typeDDR5-SDRAM
Frequency4800 MHz
Maximum RAM32 GB
Voltage1.1V
Number of pins262-pin
InterfacePC5
PC Speed RatingPC5-4800 (PC5-38400)
Bandwidth38.4 GB/s
Laptop Release date27 January 2023

Additional Notes

  • The presence of 2 SO DIMM slots in the ASUS ROG Strix G16 G614JI-N4104W enables a dual channel memory architecture, which significantly improves data throughput bandwidth compared to single channel configurations.
  • Upgrading memory requires the removal of the entire lower chassis panel, as there is no dedicated maintenance hatch for quick access to the RAM modules.
  • The hardware limit of 32 GB suggests a firmware or chipset restriction that prevents the utilization of 32 GB high density modules for a 64 GB total capacity.
  • Mixing modules with different CAS latencies will force the system to default to the timings of the slowest installed stick to maintain signal stability.
  • Standard 1.1V DDR5 modules are required for compatibility because the motherboard voltage regulator typically lacks the manual BIOS controls needed for high voltage overclocked kits.
  • The 4800 MHz frequency ceiling indicates that installing premium 5200 MHz or 5600 MHz modules will result in an automatic downclock to the lower system bus speed.
  • Occupying both slots facilitates synchronous communication between the processor and memory, reducing frame time inconsistencies during CPU intensive tasks.