ASUS ROG G513RX-HQ002W RAM upgrade specifications

ASUS G513RX-HQ002W ASUS G513RX-HQ002W ASUS G513RX-HQ002W ASUS G513RX-HQ002W ASUS G513RX-HQ002W

ASUS ROG Strix G15 G513RX-HQ002W RAM upgrade specifications include DDR5-SDRAM memory compatible with 2x SO-DIMM slots. Maximum supported capacity reaches 32 GB total, with memory operating at 4800 MHz frequency. SO-DIMM form factor ensures compatibility with this gaming laptop model. Upgrade capacity and slot configuration enable flexible memory expansion for enhanced multitasking and performance capabilities.

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 date10 January 2022

Additional Notes

  • The dual-channel architecture requires populated slots in pairs to achieve the peak theoretical bandwidth necessary for the high-speed processor communication found in the ASUS ROG G513RX-HQ002W.
  • The use of SODIMM modules necessitates a physical teardown of the chassis base for installation because there is no external access hatch for memory components.
  • Operating at 4800 MHz on a DDR5 platform introduces integrated Power Management Integrated Circuits on the modules themselves which changes heat dissipation patterns compared to previous generation memory.
  • Total capacity limits prevent the installation of 32 GB modules per slot despite the physical compatibility of the DDR5 interface.
  • Internal voltage regulation is handled on the memory sticks rather than the motherboard which reduces motherboard complexity but requires modules that strictly adhere to JEDEC voltage standards for boot stability.
  • Latency performance will be governed by the slower of the two modules if mismatched sticks are installed together in the available slots.
  • The transition to DDR5 ensures that memory chips feature On-die Error Correction Code for improved data integrity during high-load computing tasks.