MSI Sword 17 A11UE-238MX RAM upgrade specifications
The MSI Sword 17 A11UE-238MX laptop features DDR4-SDRAM memory upgrade capabilities with two SO-DIMM slots supporting maximum RAM capacity of 64 GB. Compatible memory modules operate at 3200 MHz frequency. Specifications indicate the machine accepts standard SO-DIMM form factor upgrades, enabling users to expand memory beyond factory-installed configurations. Maximum supported capacity reaches 64 GB total, accommodating significant memory enhancements for improved multitasking performance.
Memory Upgrade Specifications
| Specification | Value |
|---|---|
| Memory slots | 2x SO-DIMM |
| Form factor | SO-DIMM |
| Memory type | DDR4-SDRAM |
| Frequency | 3200 MHz |
| Maximum RAM | 64 GB |
| Voltage | 1.2V |
| Number of pins | 260-pin |
| Interface | PC4 |
| PC Speed Rating | PC4-3200 (PC4-25600) |
| Bandwidth | 25.6 GB/s |
| Laptop Release date | 13 November 2021 |
Additional Notes
- The dual channel architecture requires symmetrical module pairs to achieve maximum theoretical memory bandwidth for the Tiger Lake processor.
- Installing 64 GB of memory in the MSI Sword 17 A11UE-238MX necessitates the removal of all pre-existing factory modules due to the two slot physical limit.
- The system firmware likely lacks XMP profile support, meaning aftermarket modules must possess a native JEDEC profile of 3200 MHz at 1.2V to avoid downclocking.
- Accessing the SO-DIMM slots requires the removal of the entire lower chassis panel, which involves penetrating a factory seal sticker in certain regions.
- The use of DDR4 technology indicates a non-interchangeable physical keying compared to newer DDR5 standards, preventing the installation of high frequency modules from newer generations.
- Thermal constraints within the slim chassis suggest that memory modules with thick integrated heat spreaders may interfere with the bottom cover seating.
- Integrated graphics performance scales directly with the latency of the installed RAM, making CL22 or lower modules preferable for non-discrete GPU tasks.