ACER Aspire A515-51G-548U RAM upgrade specifications
The ACER Aspire 5 Series A515-51G-548U laptop features DDR4-SDRAM memory specifications with 2x SO-DIMM slots for RAM upgrade capacity. Maximum memory supported reaches 20 GB total, operating at 2133 MHz frequency. Compatible memory modules utilize the SO-DIMM form factor standard for this model. Specifications indicate upgrade potential through dual memory slots, enabling users to replace or expand existing RAM configuration to achieve maximum capacity supported by the A515-51G-548U platform.
Memory Upgrade Specifications
| Specification | Value |
|---|---|
| Memory slots | 2x SO-DIMM |
| Form factor | SO-DIMM |
| Memory type | DDR4-SDRAM |
| Frequency | 2133 MHz |
| Maximum RAM | 20 GB |
| Voltage | 1.2V |
| Number of pins | 260-pin |
| Interface | PC4 |
| PC Speed Rating | PC4-2133 (PC4-17064) |
| Bandwidth | 17.1 GB/s |
| Laptop Release date | 05 February 2018 |
Additional Notes
- The motherboard architecture for the ACER Aspire A515-51G-548U utilizes a hybrid configuration where 4 GB of memory is soldered directly to the circuit board.
- Dual channel operation is restricted to the capacity of the soldered module meaning only the first 8 GB of total system RAM functions at peak bandwidth while remaining memory operates in single channel mode.
- The 20 GB ceiling indicates that the single available expansion slot supports a maximum module size of 16 GB.
- Higher frequency RAM modules will automatically downclock to the 2133 MHz limitation of the internal memory controller resulting in increased latency timings.
- Total system memory replacement is impossible due to the fixed nature of the primary bank restricting hardware troubleshooting if the integrated chips fail.
- Installation of a 16 GB module requires a 260 pin SO-DIMM peripheral which populates the only accessible port and prevents further scalability.
- Mismatching densities between the permanent 4 GB chip and an added 16 GB stick creates an asymmetric memory map that can impact integrated graphics performance in specific workloads.