US 10x 16TB RAID 6 NAS Calculator

Estimate usable TB, parity, and fault tolerance for US homelab buyers using 10x 16TB in RAID 6.

Capacity Snapshot

Raw Capacity

160.00 TB

Usable Capacity

115.20 TB

Fault Tolerance

2 drives

Efficiency

80.0%

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	129.60 TB	1 drive	90.0%
RAID 6	115.20 TB	2 drives	80.0%
RAID 10	72.00 TB	1 drive per mirror pair*	50.0%
RAID-Z1	129.60 TB	1 drive	90.0%
RAID-Z2	115.20 TB	2 drives	80.0%

US Buyer Context

US buyers often evaluate frequent pricing swings and promo cycles. Capacity planning should account for staged purchases instead of one-time all-disk upgrades.

• Use parity layouts that remain valid during phased expansions.
• Compare total usable-per-dollar across multiple disk sizes, not only one SKU.

Brand / Region Glossary

Cost-per-Usable-TB

Planning metric that compares real usable capacity after reserve and parity.

Promo Window

Seasonal pricing period used for phased drive purchasing strategies.

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 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 10-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.

How much real-world usable storage does 10x 16TB RAID 6 provide?

For US homelab buyers, this NAS planning scenario estimates 115.20 TB usable after a 10% reserve from 160.00 TB raw.

Why include a 10% reserve when planning NAS capacity?

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