ASUS TUF Dash FX516PM-HN024W-BE RAM upgrade specifications
ASUS TUF Dash F15 FX516PM-HN024W-BE RAM upgrade specifications include DDR4-SDRAM memory operating at 3200 MHz. The laptop features one SO-DIMM slot for memory expansion, supporting maximum RAM capacity of 32 GB. The system combines on-board memory with upgradeable SO-DIMM configuration, allowing users to enhance overall memory capacity through compatible DDR4 modules installed in the available slot.
Memory Upgrade Specifications
| Specification | Value |
|---|---|
| Memory slots | 1x SO-DIMM |
| Form factor | On-board + SO-DIMM |
| Memory type | DDR4-SDRAM |
| Frequency | 3200 MHz |
| Maximum RAM | 32 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 | 10 January 2022 |
Additional Notes
- The ASUS TUF Dash FX516PM-HN024W-BE contains soldered memory on the motherboard, limiting practical expansion to a single SO-DIMM slot rather than offering full dual-channel upgrade flexibility.
- Adding a 32 GB SO-DIMM to the vacant slot will create an asymmetrical memory configuration that may reduce effective bandwidth utilization compared to matched dual-channel pairs, particularly under sustained computational or rendering workloads.
- Replacement of the soldered portion requires full motherboard service and voids standard warranty protections, making the existing on-board capacity a permanent constraint rather than an upgradeable component.
- DDR4-3200 MHz modules are widely available at competitive prices in SO-DIMM form factors, but timing specifications (CAS latency, voltage) must match the factory soldered memory to avoid stability issues across the mixed configuration.
- The 32 GB ceiling represents a practical upper limit for this architecture; systems exceeding this threshold would require full platform replacement rather than incremental upgrades.
- Latency penalties occur when the CPU addresses data split between soldered and modular memory banks, as requests cannot be perfectly synchronized across mismatched physical locations on the board.