RAM Loses Data
But SSDs retain theirs even after shutdown, thanks to the key difference between volatile and non-volatile memory types like DRAM and SRAM
The main difference between volatile and non-volatile memory lies in what happens to the stored data when the power is turned off. Volatile memory, which includes DRAM and SRAM, requires continuous power to retain its contents. On the other hand, non-volatile memory, such as SSDs, keeps its data even after the power is removed.
Volatile memory is commonly used as the main working memory in computers, holding data while programs are running. For example, when a laptop or desktop spec lists 16GB or 32GB of RAM, it's referring to dynamic random-access memory, or DRAM. Each DRAM cell stores a bit using a capacitor and a transistor, but the electrical charge in the capacitor leaks over time, requiring the memory to refresh its contents repeatedly while the system is running.
In contrast, non-volatile memory retains its data even when the power is turned off. This is why files saved to an SSD are still there the next time the computer starts, whereas conventional system RAM is cleared when the computer is shut down.
## What are the types of volatile memory? Volatile memory includes DRAM and SRAM. SRAM uses latching circuitry with several transistors per bit, whereas DRAM stores a bit using a capacitor and a transistor. Some computer chips, such as the Ryzen 9 9950X3D, have a large amount of combined L2 and L3 cache, which is a type of volatile memory.
## Why it matters The distinction between volatile and non-volatile memory is important because it affects how computers store and retain data. Non-volatile memory, such as SSDs, provides a reliable way to store files and data, even when the power is turned off. On the other hand, volatile memory, such as DRAM, is used for temporary working memory and requires continuous power to retain its contents.
The difference between volatile and non-volatile memory also has implications for computer design and performance. For example, some computer chips, such as AMD's Ryzen AI Max chips, can work with a large amount of unified memory, which can improve performance and efficiency.
