Google Compute Engine Machine Type n2d-highmem-16

General-purpose Google Compute Engine machine type n2d-highmem-16 with 16 vCPU and 128 GB memory. GCE machine type n2d-highmem-16 is certified for SAP applications on Google Cloud Platform. Available in 36 Google Cloud regions.

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Google Cloud VM n2d-highmem-16

Technical facts about the Google Compute Engine machine type n2d-highmem-16.

Series N2D
Family General-purpose
vCPU 16
Memory 128 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 (?) 304101
EEMBC CoreMark Standard Deviation 2.97 %
EEMBC CoreMark Sample Count 1964
SAP Standard Benchmark (?) 25283
Network Bandwidth 32 Gbps
Network Tier 1 -
Max. Disk Size 257 TB
Max. Number of Disks 128
Local SSD ✔️
SAP Application ✔️ Certified for SAP
SAP HANA ❌
Spot Provisioning Mode (Spot VM) ✔️
Sustained Use Discount (SUD) ✔️
GCE API Description 16 vCPUs 128 GB RAM

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Costs (Pricing) for n2d-highmem-16

Cost and pricing across all regions for Google Cloud VM n2d-highmem-16.

Price per Hour

Min. Avg. Max.
Standard price per hour 0.6018 1.1104 1.4589
Spot provisioning model (Spot VM) 0.1091 0.2294 0.421
Discount Spot VM vs. standard 0.3808 (63%) 0.881 (79%) 1.2719 (91%)

Price per Month

Min. Avg. Max.
Price per month with sustained use discount (SUD) 351.56 648.62 852.24
Spot provisioning model (Spot VM) 79.63 167.47 307.32
Discount Spot VM vs. month 190.21 (54%) 481.15 (74%) 715.72 (88%)
1 year commitment (CUD) 276.8 509.29 670.94
Discount 1Y CUD vs. month 74.76 (21%) 139.33 (21%) 181.3 (25%)
3 year commitment (CUD) 197.72 363.79 479.31
Discount 3Y CUD vs. month 153.84 (44%) 284.83 (44%) 372.93 (47%)

Price per Region

Costs and pricing for Google Compute Engine machine type n2d-highmem-16 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 0.6018 0.221 351.56 276.8 197.72
us-central1 Iowa 🍃 5 2 0.9118 0.1832 532.65 419.34 299.57
us-east1 South Carolina 4 2 0.9118 0.1832 532.65 419.34 299.57
us-east5 Columbus 3 2 0.9118 0.1541 532.65 419.34 299.57
us-west1 Oregon 🍃 3 2 0.9118 0.1832 532.65 419.34 299.57
me-west1 Tel Aviv 3 2 1.003 0.1668 585.91 461.27 329.53
europe-west1 Belgium 🍃 3 2 1.0031 0.277 585.95 461.25 329.45
europe-north1 Finland 🍃 3 2 1.0039 0.1733 586.44 461.63 329.76
europe-west4 Netherlands 3 2 1.0039 0.1339 586.41 461.63 329.76
northamerica-northeast1 Montréal 🍃 3 2 1.0039 0.3413 586.41 461.63 329.66
us-east4 Northern Virginia 3 2 1.0269 0.2152 599.89 448.73 320.52
us-west4 Las Vegas 3 2 1.0269 0.236 599.89 448.73 320.52
asia-east1 Taiwan 3 2 1.0558 0.3362 616.75 485.57 346.87
europe-west8 Milan 3 2 1.0577 0.1601 617.87 486.43 347.5
europe-west9 Paris 🍃 3 2 1.0577 0.2149 617.87 486.43 347.5
europe-southwest1 Madrid 3 2 1.076 0.2003 628.52 494.82 353.49
asia-south2 Delhi 3 2 1.0952 0.187 639.76 503.56 359.74
us-west2 Los Angeles 3 2 1.0952 0.2602 639.76 503.68 359.77
us-west3 Salt Lake City 3 2 1.0952 0.2655 639.76 503.68 359.77
me-central1 Doha 2 2 1.1079 0.1671 647.17 509.49 363.98
asia-southeast1 Singapore 3 2 1.1249 0.2769 657.09 517.25 369.5
asia-northeast1 Tokyo 3 2 1.1689 0.2232 682.82 537.54 383.92
asia-northeast2 Osaka 3 2 1.171 0.1332 684.06 538.52 384.66
asia-northeast3 Seoul 3 2 1.171 0.2002 684.06 538.52 384.66
europe-central2 Warsaw 3 2 1.1747 0.3053 686.2 539.7 385.48
europe-west2 London 🍃 3 2 1.1747 0.2574 686.2 539.7 385.48
europe-west3 Frankfurt 🍃 3 2 1.1747 0.386 686.2 539.7 385.48
europe-west12 Turin 3 2 1.1763 0.1091 687.12 540.94 386.44
asia-southeast2 Jakarta 3 2 1.2261 0.2037 716.23 563.8 402.75
europe-west6 Zurich 🍃 2 2 1.2755 0.3087 745.1 586.58 419.09
asia-east2 Hong Kong 3 2 1.2758 0.2355 745.25 586.74 419.03
australia-southeast1 Sydney 3 2 1.2938 0.421 755.79 595.1 425
australia-southeast2 Melbourne 2 2 1.2938 0.3133 755.79 595.1 425
europe-west10 Berlin 3 2 1.4042 0.1801 820.28 645.78 461.34
southamerica-east1 São Paulo 🍃 3 2 1.4474 0.2585 845.52 665.91 475.62
me-central2 Dammam 3 2 1.4589 0.187 852.24 670.94 479.31

Operating System Licenses Costs for n2d-highmem-16

Monthly costs for paid premium operating system licenses for Google Compute Engine machine type n2d-highmem-16.

Operating System Month 1Y CUD 3Y CUD
Microsoft Windows Server 537.28
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

Machine Types with 16 vCPU

Name ⬇️ vCPU Memory Avg. costs per hour Avg. costs per Spot VM hour Avg. costs per month
c2-standard-16 16 -64.00 64 Intel SAP Spot -0.1016 1.0088 +0.0042 0.2336 -59.3500 589.27 SUD
c2d-highcpu-16 16 -96.00 32 AMD Spot -0.4566 0.6538 -0.0781 0.1513 -171.3400 477.28
c2d-highmem-16 16 = 128 AMD SAP Spot -0.0423 1.0681 +0.0177 0.2471 +131.1300 779.75
c2d-standard-16 16 -64.00 64 AMD SAP Spot -0.3185 0.7919 -0.0462 0.1832 -70.5200 578.1
c3d-highcpu-16 16 -96.00 32 AMD Spot -0.4722 0.6382 -0.0064 0.223 -182.7700 465.85
c3d-highmem-16 16 = 128 AMD Spot -0.0552 1.0552 +0.1411 0.3705 +121.6500 770.27
c3d-standard-16 16 -64.00 64 AMD Spot -0.3374 0.773 +0.0407 0.2701 -84.3500 564.27
c3d-standard-16-lssd 16 -64.00 64 AMD Spot -0.3374 0.773 +0.0407 0.2701 -84.3500 564.27
e2-highcpu-16 16 -112.00 16 Intel AMD Spot -0.6224 0.488 -0.0757 0.1537 -292.3500 356.27
e2-highmem-16 16 = 128 Intel AMD Spot -0.2187 0.8917 +0.0515 0.2809 +2.3000 650.92
e2-standard-16 16 -64.00 64 Intel AMD Spot -0.4494 0.661 -0.0212 0.2082 -166.0700 482.55
g2-standard-16 16 -64.00 64 Intel GPU Spot +0.1674 1.2778 +0.1878 0.4172 +284.1500 932.77
n1-highcpu-16 16 -113.60 14.4 Intel Spot -0.4197 0.6907 -0.0931 0.1363 -295.6800 352.94 SUD
n1-highmem-16 16 -24.00 104 Intel SAP Spot +0.0426 1.153 -0.0017 0.2277 -59.4100 589.21 SUD
n1-standard-16 16 -68.00 60 Intel SAP Spot -0.1844 0.926 -0.0466 0.1828 -175.4400 473.18 SUD
n2-highcpu-16 16 -112.00 16 Intel Spot -0.4031 0.7073 -0.0666 0.1628 -235.4500 413.17 SUD
n2-highmem-16 16 = 128 Intel SAP Spot +0.1820 1.2924 +0.0690 0.2984 +106.3200 754.94 SUD
n2-standard-16 16 -64.00 64 Intel SAP Spot -0.1523 0.9581 -0.0085 0.2209 -88.9800 559.64 SUD
n2d-highcpu-16 16 -112.00 16 AMD Spot -0.5027 0.6077 -0.1039 0.1255 -293.6300 354.99 SUD
n2d-highmem-16 16 128 AMD SAP Spot 1.1104 0.2294 648.62 SUD
n2d-standard-16 16 -64.00 64 AMD SAP Spot -0.2873 0.8231 -0.0594 0.17 -167.7900 480.83 SUD
t2a-standard-16 16 -64.00 64 Arm Spot -0.4361 0.6743 +0.0029 0.2323 -156.4100 492.21
t2d-standard-16 16 -64.00 64 AMD SAP Spot -0.2885 0.8219 -0.0585 0.1709 -48.6700 599.95