Current laptop storage capacity
Most of today's high-end laptop lines are equipped with HDDs with a capacity of 1TB to 2TB. This is enough capacity for most popular users, according to Slashgear. However, with in-depth work such as content production, 3D sculpting or 4K video editing, the need for higher storage is inevitable. While cloud storage is a flexible choice, it is not suitable for work environments that require instant access or no stable Internet connection.
Potential for upgrading internal archives
Some laptop lines, especially the MacBook, have dead solder SSDs on the mach, making it almost impossible to upgrade after purchase. Meanwhile, many Windows devices support upgrades through the M 2. The current standard M.2 NVMe "DDT" has a capacity of up to 8TB. Some models such as Dell XPS 17 are also equipped with two M.2 Slots, allowing users to achieve a total internal storage capacity of up to 16TB - an extremely impressive figure for a laptop.
Distinguishing between SSD NVMe and SSD SATA
It should be noted that not all M2 SSDs work equally. The SSD M.2 SATA uses older technology, with a lower speed than the SSD M.2 NVMe. Therefore, if the goal is high performance, NVMe should be chosen instead of SATA.
Outdoor storage solutions
In addition to the memory available in the device, users can increase capacity by using an external hard drive. This is a simple and effective way to store more data, especially when you cannot upgrade the internal hard drive. Traditional mobile devices (HDD) are often cheap and large in capacity, suitable for long-term backup or storage. Meanwhile, mobile SSDs are faster, more compact and durable, suitable for jobs such as video editing, gaming or direct access to large files. Depending on your needs and budget, you can choose a suitable external storage device to expand the space for your laptop.
Note
Depending on the device's configuration and design, the total laptop storage capacity can reach 2TB to 16TB internally, not including external storage. This helps users flexibly expand the capacity as needed, especially in tasks that require high performance and big data.
