mofcloud
AWS

u-6tb1.112xlarge

x86 · u-6tb1

AWS 448 vCPU / 6144 GiB · x86 · in 25 regions.

Specs & pricing

Total /mo $39,861/mo
Compute /mo $39,858/mo
40G disk $3.2/mo
per vCPU/mo $89 per GiB/mo $6.5 Reserved saves up to 72%
vCPU448
Memory6144 GiB
Archx86
Bandwidth100 Gbps
40G diskSSD · +$3.2/mo
Regions25
Familyu-6tb1

Total · incl. 40G disk

By billing typeMin/moAvg/moMax/moRegions
On-demand $39,861 $46,817 $63,586 25
Reserved $11,149 $13,095 $17,784 25

Same spec on other clouds

No same-spec instance found on other clouds.

Price by region · Total · incl. 40G disk

🇺🇸 N. Virginia us-east-1 $39,861 $11,149
🇺🇸 Ohio us-east-2 $39,861 $11,149
🇺🇸 Oregon us-west-2 $39,861 $11,149
🇮🇳 Hyderabad ap-south-2 $40,874 $11,433
🇮🇳 Mumbai ap-south-1 $41,126 $11,503
🇨🇳 Yinchuan cn-northwest-1 $42,216 $11,808
🇸🇪 Stockholm eu-north-1 $42,376 $11,853
🇨🇦 Montreal ca-central-1 $43,657 $12,211
🇪🇸 Madrid eu-south-2 $44,606 $12,476
🇮🇪 Dublin eu-west-1 $44,606 $12,476
🇬🇧 London eu-west-2 $46,820 $13,096
🇫🇷 Paris eu-west-3 $46,820 $13,096
🇮🇹 Milan eu-south-1 $46,836 $13,100
🇮🇱 Tel Aviv il-central-1 $46,836 $13,100
🇦🇺 Sydney ap-southeast-2 $47,769 $13,361
🇯🇵 Tokyo ap-northeast-1 $48,086 $13,450
🇰🇷 Seoul ap-northeast-2 $48,086 $13,450
🇯🇵 Osaka ap-northeast-3 $48,086 $13,450
🇸🇬 Singapore ap-southeast-1 $48,086 $13,450
🇮🇩 Jakarta ap-southeast-3 $48,086 $13,450
🇩🇪 Frankfurt eu-central-1 $48,086 $13,450
🇨🇭 Zurich eu-central-2 $52,894 $14,794
🇿🇦 Cape Town af-south-1 $53,081 $14,846
🇨🇳 Beijing cn-north-1 $58,232 $16,287
🇧🇷 Sao Paulo sa-east-1 $63,586 $17,784

All are the total monthly price = machine (effective hourly ×730) + a 40G system disk (~$3.2/mo, representative SSD estimate): the lowest total per billing type per region. Normalized to USD — verify on each cloud's official page.

FAQ

How much does u-6tb1.112xlarge cost on AWS?

u-6tb1.112xlarge runs from about $39,861/mo (Linux on-demand + a 40G system disk), based on its cheapest of 25 regions.

Is u-6tb1.112xlarge cheaper on another cloud?

No same-spec instance was found on other clouds in our dataset.