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 (?) 1174712
EEMBC CoreMark Standard Deviation 4.22 %
EEMBC CoreMark Sample Count 160
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 2.4276 3.1937
Spot provisioning model (Spot VM) 0.2316 0.5237 1.0281

Price per Month

Min. Avg. Max.
Price per month with sustained use discount (SUD) 769.54 1418.05 1865.56
Spot provisioning model (Spot VM) 169.08 382.31 750.51
1 year commitment (CUD) 605.86 1113.76 1468.73
3 year commitment (CUD) 432.77 795.56 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 504.58 504.58 504.58
SUSE Linux Enterprise Server for SAP 299.3 119.94 107.75
Red Hat Enterprise Linux for SAP 759.2 759.2 759.2

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 0.4478 769.54 605.86 432.77
us-central1 Iowa 🍃 5 2 1.996 0.4157 1165.97 917.95 655.72
us-east1 South Carolina 4 2 1.996 0.4157 1165.97 917.95 655.72
us-east5 Columbus 3 2 1.996 0.2438 1165.97 917.95 655.72
us-west1 Oregon 🍃 3 2 1.996 0.4157 1165.97 917.95 655.72
me-west1 Tel Aviv 3 2 2.1956 0.3732 1282.57 1009.75 721.29
europe-west1 Belgium 🍃 3 2 2.1957 0.7729 1282.62 1009.76 721.26
europe-west4 Netherlands 🍃 3 2 2.1975 0.3591 1283.66 1010.6 721.87
northamerica-northeast1 Montréal 🍃 3 2 2.1975 0.8789 1283.66 1010.6 721.78
northamerica-northeast2 Toronto 🍃 3 2 2.1975 0.4543 1283.66 1010.6 721.78
europe-north1 Finland 🍃 3 2 2.1977 0.4181 1283.78 1010.6 721.87
us-east4 Northern Virginia 3 2 2.2481 0.5513 1313.23 982.24 701.59
us-west4 Las Vegas 3 2 2.2481 0.6227 1313.23 982.24 701.59
asia-east1 Taiwan 3 2 2.3112 0.9246 1350.06 1062.88 759.25
europe-west8 Milan 3 2 2.3154 0.2532 1352.53 1064.83 760.63
europe-west9 Paris 🍃 3 2 2.3154 0.5442 1352.53 1064.83 760.63
europe-southwest1 Madrid 🍃 3 2 2.3553 0.5946 1375.85 1083.19 773.74
us-south1 Dallas 🍃 2 2 2.3553 0.3826 1375.85 1083.19 773.74
asia-south2 Delhi 3 2 2.3975 0.3956 1400.49 1102.45 787.51
us-west2 Los Angeles 3 2 2.3975 0.6763 1400.49 1102.59 787.61
us-west3 Salt Lake City 3 2 2.3975 0.5548 1400.49 1102.59 787.61
australia-southeast2 Melbourne 2 2 2.4075 0.6517 1406.32 1107.64 791.16
me-central1 Doha 2 2 2.4252 0.3498 1416.66 1115.31 796.69
asia-southeast1 Singapore 3 2 2.4625 0.4383 1438.44 1132.35 808.86
asia-northeast2 Osaka 3 2 2.5633 0.3135 1497.36 1178.84 842.03
asia-northeast3 Seoul 3 2 2.5633 0.4188 1497.36 1178.84 842.03
asia-northeast1 Tokyo 3 2 2.5634 0.6752 1497.4 1178.84 842.03
europe-central2 Warsaw 3 2 2.5717 0.7894 1502.26 1181.6 844
europe-west2 London 🍃 3 2 2.5717 0.6649 1502.26 1181.6 844
europe-west3 Frankfurt 🍃 3 2 2.5717 1.0281 1502.26 1181.6 844
europe-west12 Turin 3 2 2.5749 0.2316 1504.11 1184.16 845.87
africa-south1 Johannesburg 3 2 2.6108 0.4239 1525.09 1200.68 857.68
asia-southeast2 Jakarta 3 2 2.6841 0.4876 1567.9 1234.26 881.66
europe-west6 Zurich 🍃 2 2 2.7923 0.6423 1631.09 1284.1 917.3
asia-east2 Hong Kong 3 2 2.7928 0.579 1631.42 1284.43 917.39
australia-southeast1 Sydney 3 2 2.8323 0.8046 1654.49 1303.11 930.8
southamerica-west1 Santiago 🍃 2 2 2.8543 0.3818 1667.34 1312.68 937.67
europe-west10 Berlin 🍃 3 2 3.0739 0.498 1795.6 1413.65 1009.8
southamerica-east1 São Paulo 🍃 3 2 3.1685 0.5126 1850.87 1457.52 1041.06
me-central2 Dammam 3 2 3.1937 0.3622 1865.56 1468.73 1049.14