A workbook with hundreds of thousands of rows is slow for reasons that have little to do with the disk. Still, the file is opened, recalculated, and autosaved repeatedly, and some of that touches storage.
This guide separates the three bottlenecks - memory, processor, and disk - and shows where a cache genuinely shortens the wait on heavy spreadsheet work.
For a workflow that reopens the same models and source files all day, Qiling Fast Cache keeps those reads close at hand - but the cache should stay small, because the spreadsheet needs that memory too.
Step 1. Install and open Qiling Fast Cache. On first run the task list is empty, so the effect is easy to isolate.

Step 2. Click the "+" button and select the local drive that holds your workbooks and source files.
Step 3. Choose the medium and size. An SSD tier is usually the better choice here, because it frees RAM for the spreadsheet itself.

Step 4. Create the task, then time opening the same workbook twice and confirm recalculation speed has not changed.

No. Recalculation runs in the processor, and the disk is idle while it works.
For files you open repeatedly, yes - especially linked workbooks and files stored on a network share.
Because the limit is usually memory or formula design rather than storage. Check RAM usage while the file is open.
Only short-lived scratch copies. A RAM disk is lost on reboot, and an unexpected shutdown takes your work with it.
Working locally instead of over the network, enough RAM, simpler formulas, and a tidier used range.
Business models and reports are often irreplaceable, so keep a system image alongside them. Qiling Disk Master creates a full Windows backup you can restore from.
Step 1. Install and open Qiling Disk Master. On the home screen, open "Backup and Recovery" and choose "System Backup". This option automatically includes Windows and the hidden boot partitions, so you do not have to select them one by one.

Step 2. Check the source. The disk where Windows is installed and its system partitions are already ticked for you. If you only need your personal documents, run a separate "File Backup" task instead.

Step 3. Click the destination box and choose where the image should be saved. Use an external HDD or SSD, a NAS, or any drive other than the one Windows is installed on, and make sure it has enough free space.

Step 4. Review the task summary and click "Proceed". Wait until the progress bar reaches 100%. Do not unplug the drive or turn off the PC while the backup is running.

Step 1. Open Qiling Disk Master again, go to "Backup and Recovery", and select the recovery option. Your backup images are listed, so pick the one you created before the changes began.

Step 2. Choose the target disk or partition. Normally you restore to the original system disk. If the drive was replaced, select the new disk instead, and the restore rebuilds Windows together with its boot partitions.

Step 3. Preview the restore plan, click "Proceed", and confirm the warning. The PC restarts to finish the job, and Windows comes back exactly as it was on the day the image was created, with your files and programs intact.

A large workbook is slow for three separable reasons, and only one of them is storage. Opening the file is a full read and parse; recalculating it is processor work with the disk idle; and keeping it in memory is where most machines run out of room first. A cache helps with the part that repeats - reopening the same model, refreshing linked workbooks, re-reading source files, and anything accessed over a network share, where it removes both the read and the round trip. It cannot make recalculation faster, and an oversized allocation can actively hurt by taking memory the spreadsheet needs. Work locally, keep RAM free, simplify formulas, trim the used range, and turn off automatic calculation while you edit.
Protect your PC with Qiling Backup—create a system image before your next round of settings changes.
For more Windows 11 performance guides, see How to Check Cache Hit Rate, Cache vs Buffer, How Big Should Your Disk Cache Be?, When Caching Does Not Help, and Speed Up IDE Indexing with a RAM Disk and Disk Cache.