Google Compute Engine Machine Type n2d-highcpu-64

General-purpose Google Compute Engine machine type n2d-highcpu-64 with 64 vCPU and 64 GB memory. Available in 40 Google Cloud regions.

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Google Cloud VM n2d-highcpu-64

Technical facts about the Google Compute Engine machine type n2d-highcpu-64.

Series N2D
Family General-purpose
vCPU 64
Memory 64 GB
CPU Manufactur AMD
CPU Platform
  • AMD Rome
  • AMD Milan
CPU Base Frequency 2.45 GHz
CPU Turbo Frequency 2.8 GHz
CPU Max. Turbo Frequency 3.5 GHz
EEMBC CoreMark Benchmark (?) 1218165
EEMBC CoreMark Standard Deviation 2.03 %
EEMBC CoreMark Sample Count 516
SAP Standard Benchmark (?) -
Network Bandwidth 32 Gbps
Network Tier 1 50 Gbps
Max. Disk Size 512 TB
Max. Number of Disks 128
Local SSD ✔️
SAP Application ❌
SAP HANA ❌
Spot Provisioning Mode (Spot VM) ✔️
Sustained Use Discount (SUD) ✔️
GCE API Description 64 vCPUs 64 GB RAM

Costs (Pricing) for n2d-highcpu-64

Cost and pricing across all regions for Google Cloud VM n2d-highcpu-64.

Price per Hour

Min. Avg. Max.
Standard price per hour 1.3174 2.4382 3.1937
Spot provisioning model (Spot VM) 0.2504 0.5057 0.9308

Price per Month

Min. Avg. Max.
Price per month with sustained use discount (SUD) 769.54 1424.25 1865.56
Spot provisioning model (Spot VM) 182.82 369.13 679.5
1 year commitment (CUD) 605.86 1118.65 1468.73
3 year commitment (CUD) 432.77 799.06 1049.14

Operating System Licenses Costs

Monthly costs for paid premium operating system licenses for Google Compute Engine machine type n2d-highcpu-64.

Operating System Month 1Y CUD 3Y CUD
Microsoft Windows Server 2149.12
SUSE Linux Enterprise Server 80.3
Red Hat Enterprise Linux 94.9 75.92 72.27
SUSE Linux Enterprise Server for SAP 299.3 119.94 107.75
Red Hat Enterprise Linux for SAP 164.25 131.4 124.83

Price per Region

Costs and pricing for Google Compute Engine machine type n2d-highcpu-64 in Google Cloud regions in which the VM is available. Between the most expensive and the cheapest region is a price difference of 59%.

Region Location #Zones #Platf. Hour Spot Month 1Y CUD 3Y CUD
asia-south1 Mumbai 3 2 1.3174 0.508 769.54 605.86 432.77
us-central1 Iowa 🍃 5 2 1.996 0.3613 1165.97 917.95 655.72
us-east1 South Carolina 4 2 1.996 0.3613 1165.97 917.95 655.72
us-east5 Columbus 3 2 1.996 0.2867 1165.97 917.95 655.72
us-west1 Oregon 🍃 3 2 1.996 0.3613 1165.97 917.95 655.72
me-west1 Tel Aviv 3 2 2.1956 0.4195 1282.57 1009.75 721.29
europe-west1 Belgium 🍃 3 2 2.1957 0.6067 1282.62 1009.76 721.26
europe-west4 Netherlands 3 2 2.1975 0.2576 1283.66 1010.6 721.87
northamerica-northeast1 Montréal 🍃 3 2 2.1975 0.7469 1283.66 1010.6 721.78
northamerica-northeast2 Toronto 🍃 3 2 2.1975 0.4783 1283.66 1010.6 721.78
europe-north1 Finland 🍃 3 2 2.1977 0.3418 1283.78 1010.6 721.87
us-east4 Northern Virginia 3 2 2.2481 0.4943 1313.23 982.24 701.59
us-west4 Las Vegas 3 2 2.2481 0.5167 1313.23 982.24 701.59
asia-east1 Taiwan 3 2 2.3112 0.8463 1350.06 1062.88 759.25
europe-west8 Milan 3 2 2.3154 0.3156 1352.53 1064.83 760.63
europe-west9 Paris 🍃 3 2 2.3154 0.5181 1352.53 1064.83 760.63
europe-southwest1 Madrid 3 2 2.3553 0.4602 1375.85 1083.19 773.74
us-south1 Dallas 1 2 2.3553 0.3553 1375.85 1083.19 773.74
asia-south2 Delhi 3 2 2.3975 0.4093 1400.49 1102.45 787.51
us-west2 Los Angeles 3 2 2.3975 0.5316 1400.49 1102.59 787.61
us-west3 Salt Lake City 3 2 2.3975 0.58 1400.49 1102.59 787.61
me-central1 Doha 2 2 2.4252 0.3107 1416.66 1115.31 796.69
asia-southeast1 Singapore 3 2 2.4625 0.6066 1438.44 1132.35 808.86
asia-northeast2 Osaka 3 2 2.5633 0.2917 1497.36 1178.84 842.03
asia-northeast3 Seoul 3 2 2.5633 0.5043 1497.36 1178.84 842.03
asia-northeast1 Tokyo 3 2 2.5634 0.5389 1497.4 1178.84 842.03
europe-central2 Warsaw 3 2 2.5717 0.7692 1502.26 1181.6 844
europe-west2 London 🍃 3 2 2.5717 0.479 1502.26 1181.6 844
europe-west3 Frankfurt 🍃 3 2 2.5717 0.9308 1502.26 1181.6 844
europe-west12 Turin 3 2 2.5749 0.2504 1504.11 1184.16 845.87
africa-south1 Johannesburg 3 2 2.6108 0.3938 1525.09 1200.68 857.68
asia-southeast2 Jakarta 3 2 2.6841 0.513 1567.9 1234.26 881.66
europe-west6 Zurich 🍃 2 2 2.7923 0.6757 1631.09 1284.1 917.3
asia-east2 Hong Kong 3 2 2.7928 0.5935 1631.42 1284.43 917.39
australia-southeast1 Sydney 3 2 2.8323 0.7843 1654.49 1303.11 930.8
australia-southeast2 Melbourne 2 2 2.8323 0.6859 1654.49 1303.11 930.8
southamerica-west1 Santiago 🍃 1 2 2.8543 0.6907 1667.34 1312.68 937.67
europe-west10 Berlin 3 2 3.0739 0.4529 1795.6 1413.65 1009.8
southamerica-east1 São Paulo 🍃 3 2 3.1685 0.6504 1850.87 1457.52 1041.06
me-central2 Dammam 3 2 3.1937 0.3477 1865.56 1468.73 1049.14