ASUS ROG GL703VM-EE138T RAM upgrade specifications
ASUS ROG Strix GL703VM-EE138T laptop RAM upgrade specifications: Compatible with DDR4-SDRAM memory modules. Equipped with 2x SO-DIMM slots supporting maximum capacity of 32 GB total RAM. Memory operates at 2400 MHz frequency. Upgrades utilize SO-DIMM form factor modules. Specifications define compatible memory configurations for this gaming laptop model.
Memory Upgrade Specifications
| Specification | Value |
|---|---|
| Memory slots | 2x SO-DIMM |
| Form factor | SO-DIMM |
| Memory type | DDR4-SDRAM |
| Frequency | 2400 MHz |
| Maximum RAM | 32 GB |
| Voltage | 1.2V |
| Number of pins | 260-pin |
| Interface | PC4 |
| PC Speed Rating | PC4-2400 (PC4-19200) |
| Bandwidth | 19.2 GB/s |
| Laptop Release date | 11 February 2019 |
Additional Notes
- The ASUS ROG Strix GL703VM-EE138T contains 2 memory slots configured as SO-DIMM, which restricts upgrade capacity to a maximum of 32 GB total across both slots when using matched pairs of 16 GB modules.
- DDR4-2400 MHz represents the native supported frequency; higher-speed DDR4 modules (2666 MHz, 2933 MHz, 3200 MHz) may function but will downclock to 2400 MHz specification, providing no performance benefit while consuming additional cost.
- SO-DIMM form factor requires laptop-specific memory modules rather than full-size DIMM sticks, eliminating compatibility with desktop RAM and necessitating sourcing from laptop-compatible product lines.
- Populating both SO-DIMM slots simultaneously may generate thermal constraints in the compact chassis design typical of gaming ultrabooks; single-slot configurations or asymmetrical capacity pairings (8 GB + 16 GB) produce lower heat density if thermal throttling occurs during sustained workloads.
- The 32 GB ceiling indicates no BIOS-level support for 64 GB configurations, making future capacity expansion beyond this threshold impossible without hardware modification outside manufacturer warranty scope.
- Memory speed of 2400 MHz on a 6th or 7th generation Intel platform may present latency constraints when paired with discrete GPU workloads, as the memory bandwidth ceiling becomes a secondary bottleneck during data-intensive gaming or rendering operations.