mofcloud
Azure

Standard_M416-104s_v2

x86 · standardMSv2Family

Azure 104 vCPU / 5700 GiB · x86 · in 19 regions.

Specs & pricing

Total /mo $36,197/mo
Compute /mo $36,193/mo
40G disk $4.0/mo
per vCPU/mo $348 per GiB/mo $6.4 Reserved saves up to 72.1% Spot saves up to 81.5%
vCPU104
Memory5700 GiB
Archx86
40G diskSSD · +$4.0/mo
Regions19
FamilystandardMSv2Family

Total · incl. 40G disk

By billing typeMin/moAvg/moMax/moRegions
On-demand $36,197 $46,865 $70,581 19
Spot $6,693 $8,664 $13,047 19
Reserved $10,166 $13,092 $19,820 19

Same spec on other clouds

No same-spec instance found on other clouds.

Price by region · Total · incl. 40G disk

🇺🇸 N. Virginia eastus $36,197 $6,693 $10,166
🇺🇸 Seattle westus2 $36,197 $6,693 $10,166
🇸🇪 Stockholm swedencentral $39,093 $7,228 $10,980
🇮🇪 Dublin northeurope $40,541 $7,495 $11,385
🇺🇸 Iowa centralus $40,902 $7,562 $10,166
🇨🇦 Toronto canadacentral $43,436 $8,030 $12,200
🇩🇪 Frankfurt germanywestcentral $43,436 $8,030 $12,198
🇯🇵 Tokyo japaneast $43,436 $8,030 $12,198
🇰🇷 Seoul koreacentral $43,436 $8,030 $12,198
🇳🇱 Amsterdam westeurope $43,436 $8,030 $12,198
🇬🇧 London uksouth $45,246 $8,365 $12,706
🇸🇬 Singapore southeastasia $47,055 $8,699 $13,214
🇦🇪 Dubai uaenorth $47,780 $8,833 $13,418
🇿🇦 Johannesburg southafricanorth $48,503 $8,967 $13,621
🇦🇺 Sydney australiaeast $52,484 $9,702 $14,739
🇨🇳 Hong Kong eastasia $56,104 $10,371 $15,755
🇯🇵 Osaka japanwest $56,104 $10,371 $15,755
🇨🇭 Zurich switzerlandnorth $56,466 $10,438 $15,857
🇧🇷 Sao Paulo brazilsouth $70,581 $13,047 $19,820

All are the total monthly price = machine (effective hourly ×730) + a 40G system disk (~$4.0/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 Standard_M416-104s_v2 cost on Azure?

Standard_M416-104s_v2 runs from about $36,197/mo (Linux on-demand + a 40G system disk), based on its cheapest of 19 regions.

Is Standard_M416-104s_v2 cheaper on another cloud?

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