UK 6x 12TB RAID 10 NAS Calculator

Estimate usable TB, parity, and fault tolerance for UK homelab buyers using 6x 12TB in RAID 10.

Capacity Snapshot

Raw Capacity

72.00 TB

Usable Capacity

32.40 TB

Fault Tolerance

1 drive per mirror pair*

Efficiency

50.0%

Excellent random I/O and rebuild behavior; capacity is typically 50% of raw. This scenario applies a 10% filesystem reserve.

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Alternative Mode Comparison

Mode	Usable	Tolerance	Efficiency
RAID 5	54.00 TB	1 drive	83.3%
RAID 6	43.20 TB	2 drives	66.7%
RAID 10	32.40 TB	1 drive per mirror pair*	50.0%
RAID-Z1	54.00 TB	1 drive	83.3%
RAID-Z2	43.20 TB	2 drives	66.7%

UK Buyer Context

UK homelab planners commonly balance higher per-drive pricing with power and chassis constraints, so efficient but resilient layouts become more valuable.

• Model dual-parity options early if rebuild time is a concern.
• Include reserve headroom to avoid running pools at high fill percentages.

Brand / Region Glossary

Power Budget

Expected always-on energy usage cost factored into NAS layout decisions.

Rebuild Window

Estimated time exposure while replacing a failed drive and restoring parity.

NAS Cluster Guides

NAS Hub RAID Level Compare RAID Capacity Matrix Planning Quick Sheet RAID Selector NAS FAQ

Related Long-Tail Calculators

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Sequential Long-Tail Navigation

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FAQ

Is RAID 10 still practical with 12TB drives?

It can be practical, but larger drives increase rebuild windows. Validate parity choice and backup policy before committing to the final layout.

How much effective storage does 6x 12TB RAID 10 provide?

For UK homelab buyers, this NAS planning scenario estimates 32.40 TB usable after a 10% reserve from 72.00 TB raw.

Can this calculator replace real-world benchmark and rebuild testing?

No. Use this page for pre-purchase sizing, then validate with workload benchmarks, SMART health policy, and a tested restore plan.

Why include a 10% reserve when planning NAS available space?

Keeping free space improves filesystem behavior for snapshots, metadata, and write performance. Full arrays often perform worse and rebuild more slowly.