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Hard Drives for NAS

Not all hard drives are created equal. While a standard desktop drive is designed to run for a few hours a day, a NAS-optimised drive is engineered for 24/7 operation, providing the reliability and durability required for always-on network storage.

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8TB CAPACITY

3.5" FORM FACTOR

7200RPM SPIN SPEED

256MB CACHE

£284.99 SAVE £77
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6TB CAPACITY

3.5" FORM FACTOR

5400RPM SPIN SPEED

256MB CACHE

£197.99 SAVE £36
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10TB CAPACITY

3.5" FORM FACTOR

256MB CACHE

SATA III INTERFACE

£359.99 SAVE £162
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4TB CAPACITY

3.5" FORM FACTOR

5400RPM SPIN SPEED

256MB CACHE

£164.99 SAVE £20
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8TB CAPACITY

3.5" FORM FACTOR

5400RPM SPIN SPEED

256MB CACHE

£254.99 SAVE £18
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1TB CAPACITY

3.5" FORM FACTOR

5400RPM SPIN SPEED

256MB CACHE

£106.99 SAVE £7
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4TB CAPACITY

3.5" FORM FACTOR

7200RPM SPIN SPEED

256MB CACHE

£219.99 SAVE £41
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2TB CAPACITY

3.5" FORM FACTOR

5400RPM SPIN SPEED

SATA III INTERFACE

NOTIFY ME

Choosing the Right Drive Type

  • NAS HDDs (e.g., Seagate IronWolf, WD Red Plus): The gold standard for bulk storage. Best for media libraries, backups, and large archives where high capacity per pound is the priority.
  • Enterprise HDDs: For the most demanding environments. These offer even higher workload ratings and longer warranties, ideal for large-scale business deployments.
  • NAS SSDs: For "hot" data. Use these for active databases, virtual machines, or AI model weights where near-instant access and low latency are required.

NAS Drives for AI and LLM Workflows

AI workloads place unique stresses on storage. When selecting drives for an AI infrastructure, consider the following:

  • Sustained Read Performance: Training LLMs involves reading massive datasets repeatedly. NAS-optimised drives ensure consistent throughput without the performance degradation seen in consumer drives under heavy load.
  • Reliability for Long-Running Tasks: A drive failure during a week-long training run can be catastrophic. Using drives with high Mean Time Between Failures (MTBF) is essential to ensure project continuity.
  • Hybrid Strategies: Many AI users employ a "Tiered Storage" approach—using high-capacity NAS HDDs for the raw dataset (Cold Storage) and NAS SSDs for the active model weights and vector databases (Hot Storage).