Google Compute Engine Machine Type n2d-highmem-2

General-purpose Google Compute Engine machine type n2d-highmem-2 with 2 vCPU and 16 GB memory. GCE machine type n2d-highmem-2 is certified for SAP applications on Google Cloud Platform. Available in 40 Google Cloud regions.

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Google Cloud VM n2d-highmem-2

Technical facts about the Google Compute Engine machine type n2d-highmem-2.

Series N2D
Family General-purpose
vCPU 2
Memory 16 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 (?) 39065
EEMBC CoreMark Standard Deviation 3.61 %
EEMBC CoreMark Sample Count 2692
SAP Standard Benchmark (?) 3160
Network Bandwidth 10 Gbps
Network Tier 1 -
Max. Disk Size 257 TB
Max. Number of Disks 128
Local SSD βœ”οΈ
SAP Application βœ”οΈ Certified for SAP
SAP HANA ❌
Spot Provisioning Mode (Spot VM) βœ”οΈ
Sustained Use Discount (SUD) βœ”οΈ
GCE API Description 2 vCPUs 16 GB RAM

Costs (Pricing) for n2d-highmem-2

Cost and pricing across all regions for Google Cloud VM n2d-highmem-2.

Price per Hour

Min. Avg. Max.
Standard price per hour 0.0752 0.1392 0.1824
Spot provisioning model (Spot VM) 0.0143 0.0289 0.0531

Price per Month

Min. Avg. Max.
Price per month with sustained use discount (SUD) 43.95 81.32 106.53
Spot provisioning model (Spot VM) 10.44 21.12 38.75
1 year commitment (CUD) 34.6 63.87 83.87
3 year commitment (CUD) 24.71 45.62 59.91

Operating System Licenses Costs

Monthly costs for paid premium operating system licenses for Google Compute Engine machine type n2d-highmem-2.

Operating System Month 1Y CUD 3Y CUD
Microsoft Windows Server 67.16
SUSE Linux Enterprise Server 80.3
Red Hat Enterprise Linux 43.8 35.04 33.58
SUSE Linux Enterprise Server for SAP 124.1 50.01 44.72
Red Hat Enterprise Linux for SAP 73 58.4 55.55

Price per Region

Costs and pricing for Google Compute Engine machine type n2d-highmem-2 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 0.0752 0.029 43.95 34.6 24.71
us-central1 Iowa πŸƒ 5 2 0.114 0.0206 66.58 52.42 37.45
us-east1 South Carolina 4 2 0.114 0.0206 66.58 52.42 37.45
us-east5 Columbus 3 2 0.114 0.0164 66.58 52.42 37.45
us-west1 Oregon πŸƒ 3 2 0.114 0.0206 66.58 52.42 37.45
europe-west1 Belgium πŸƒ 3 2 0.1254 0.0346 73.24 57.66 41.18
me-west1 Tel Aviv 3 2 0.1254 0.024 73.24 57.66 41.19
europe-north1 Finland πŸƒ 3 2 0.1255 0.0195 73.3 57.7 41.22
europe-west4 Netherlands 3 2 0.1255 0.0164 73.3 57.7 41.22
northamerica-northeast1 MontrΓ©al πŸƒ 3 2 0.1255 0.0427 73.3 57.7 41.21
northamerica-northeast2 Toronto πŸƒ 3 2 0.1255 0.0273 73.3 57.7 41.21
us-east4 Northern Virginia 3 2 0.1284 0.0282 74.99 56.09 40.07
us-west4 Las Vegas 3 2 0.1284 0.0295 74.99 56.09 40.07
asia-east1 Taiwan 3 2 0.132 0.0483 77.09 60.7 43.36
europe-west8 Milan 3 2 0.1322 0.018 77.23 60.8 43.44
europe-west9 Paris πŸƒ 3 2 0.1322 0.0296 77.23 60.8 43.44
europe-southwest1 Madrid 3 2 0.1345 0.0263 78.57 61.85 44.19
us-south1 Dallas 1 2 0.1345 0.0203 78.57 61.85 44.19
asia-south2 Delhi 3 2 0.1369 0.0234 79.97 62.94 44.97
us-west2 Los Angeles 3 2 0.1369 0.031 79.97 62.96 44.97
us-west3 Salt Lake City 3 2 0.1369 0.0332 79.97 62.96 44.97
me-central1 Doha 2 2 0.1385 0.0177 80.9 63.69 45.5
asia-southeast1 Singapore 3 2 0.1406 0.0346 82.14 64.66 46.19
asia-northeast1 Tokyo 3 2 0.1461 0.0307 85.35 67.19 47.99
asia-northeast2 Osaka 3 2 0.1464 0.0166 85.51 67.31 48.08
asia-northeast3 Seoul 3 2 0.1464 0.0288 85.51 67.31 48.08
europe-central2 Warsaw 3 2 0.1468 0.0439 85.77 67.46 48.18
europe-west2 London πŸƒ 3 2 0.1468 0.0274 85.77 67.46 48.18
europe-west3 Frankfurt πŸƒ 3 2 0.1468 0.0531 85.77 67.46 48.18
europe-west12 Turin 3 2 0.147 0.0143 85.89 67.62 48.31
africa-south1 Johannesburg 3 2 0.1491 0.0225 87.09 68.56 48.98
asia-southeast2 Jakarta 3 2 0.1533 0.0293 89.53 70.48 50.34
europe-west6 Zurich πŸƒ 2 2 0.1594 0.0386 93.14 73.32 52.39
asia-east2 Hong Kong 3 2 0.1595 0.0339 93.16 73.34 52.38
australia-southeast1 Sydney 3 2 0.1617 0.0447 94.47 74.39 53.13
australia-southeast2 Melbourne 2 2 0.1617 0.0392 94.47 74.39 53.13
southamerica-west1 Santiago πŸƒ 1 2 0.163 0.0394 95.21 74.96 53.55
europe-west10 Berlin 3 2 0.1755 0.0259 102.53 80.72 57.67
southamerica-east1 SΓ£o Paulo πŸƒ 3 2 0.1809 0.0372 105.69 83.24 59.45
me-central2 Dammam 3 2 0.1824 0.0199 106.53 83.87 59.91