EU 4x 8TB RAID 6 NAS Calculator

Estimate usable TB, parity, and fault tolerance for EU homelab buyers using 4x 8TB in RAID 6.

Capacity Snapshot

Raw Capacity

32.00 TB

Usable Capacity

14.40 TB

Fault Tolerance

2 drives

Efficiency

50.0%

Safer for larger arrays with dual parity, at the cost of one extra parity disk. This scenario applies a 10% filesystem reserve.

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Alternative Mode Comparison

Mode	Usable	Tolerance	Efficiency
RAID 5	21.60 TB	1 drive	75.0%
RAID 6	14.40 TB	2 drives	50.0%
RAID 10	14.40 TB	1 drive per mirror pair*	50.0%
RAID-Z1	21.60 TB	1 drive	75.0%
RAID-Z2	14.40 TB	2 drives	50.0%

EU Buyer Context

EU deployments often place additional emphasis on energy efficiency and predictable lifecycle upgrades, especially for always-on NAS fleets.

• Choose a layout that minimizes emergency rebuild risk under continuous operation.
• Prefer capacity plans that survive one upgrade cycle without pool redesign.

Brand / Region Glossary

Lifecycle Planning

Capacity and reliability strategy across multiple hardware refresh cycles.

Operational Headroom

Intentional free-space margin to protect performance and snapshot behavior.

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

How much real-world usable storage does 4x 8TB RAID 6 provide?

For EU homelab buyers, this NAS planning scenario estimates 14.40 TB usable after a 10% reserve from 32.00 TB raw.

How many disk failures can RAID 6 tolerate in this setup?

This setup can tolerate 2 drives. Real-world survivability depends on mirror placement, rebuild stress, and drive health.

Should I optimize this 4-drive plan for storage headroom or resiliency first?

For long-lived NAS pools, resiliency first is usually safer. Capacity can be expanded later, while a risky parity choice can force migration sooner.

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.