Google Compute Engine Machine Type n2-highcpu-32

General-purpose Google Compute Engine machine type n2-highcpu-32 with 32 vCPU and 32 GB memory. Available in 39 Google Cloud regions.

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Google Cloud VM n2-highcpu-32

Technical facts about the Google Compute Engine machine type n2-highcpu-32.

Series N2
Family General-purpose
vCPU 32
Memory 32 GB
CPU Manufactur Intel
CPU Platform
  • Intel Ice Lake
  • Intel Cascade Lake
CPU Base Frequency 2.6 GHz
CPU Turbo Frequency 3.4 GHz
CPU Max. Turbo Frequency 3.5 GHz
EEMBC CoreMark Benchmark (?) 538530
EEMBC CoreMark Standard Deviation 0.56 %
EEMBC CoreMark Sample Count 1151
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 32 vCPUs 32 GB RAM

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Costs (Pricing) for n2-highcpu-32

Cost and pricing across all regions for Google Cloud VM n2-highcpu-32.

Price per Hour

Min. Avg. Max.
Standard price per hour 1.1471 1.4146 1.8354
Spot provisioning model (Spot VM) 0.1136 0.3257 0.5306
Discount Spot VM vs. standard 0.7472 (65%) 1.0889 (77%) 1.5426 (91%)

Price per Month

Min. Avg. Max.
Price per month with sustained use discount (SUD) 670.09 826.34 1072.15
Spot provisioning model (Spot VM) 82.9 237.75 387.31
Discount Spot VM vs. month 378.16 (56%) 588.59 (71%) 860.5 (89%)
1 year commitment (CUD) 527.56 649.02 844.1
Discount 1Y CUD vs. month 142.53 (21%) 177.32 (21%) 228.05 (25%)
3 year commitment (CUD) 376.84 463.59 602.95
Discount 3Y CUD vs. month 293.25 (44%) 362.75 (44%) 469.2 (47%)

Price per Region

Costs and pricing for Google Compute Engine machine type n2-highcpu-32 in Google Cloud regions in which the VM is available. Between the most expensive and the cheapest region is a price difference of 38%.

Region Location #Zones #Platf. Hour Spot Month 1Y CUD 3Y CUD
us-central1 Iowa 🍃 5 2 1.1471 0.2968 670.09 527.56 376.84
us-east1 South Carolina 4 2 1.1471 0.2968 670.09 527.56 376.84
us-east5 Columbus 3 2 1.1471 0.3999 670.09 527.56 376.84
us-west1 Oregon 🍃 3 2 1.1471 0.2968 670.09 527.56 376.84
me-west1 Tel Aviv 3 2 1.2618 0.4384 737.1 580.32 414.53
europe-west1 Belgium 🍃 3 2 1.2619 0.1586 737.13 580.33 414.52
europe-west4 Netherlands 3 2 1.2629 0.3057 737.72 580.8 414.87
northamerica-northeast1 Montréal 🍃 3 2 1.2629 0.3057 737.72 580.8 414.83
northamerica-northeast2 Toronto 🍃 3 2 1.2629 0.1136 737.72 580.8 414.83
europe-north1 Finland 🍃 3 2 1.263 0.3053 737.8 580.8 414.87
us-east4 Northern Virginia 3 2 1.292 0.2689 754.74 564.49 403.22
us-west4 Las Vegas 3 2 1.292 0.2957 754.7 564.49 403.22
asia-east1 Taiwan 3 2 1.3283 0.266 775.9 610.86 436.34
europe-west8 Milan 3 2 1.3307 0.1967 777.31 611.97 437.14
europe-west9 Paris 🍃 3 2 1.3307 0.3676 777.31 611.97 437.14
europe-southwest1 Madrid 3 2 1.3536 0.1916 790.71 622.52 444.68
us-south1 Dallas 3 2 1.3536 0.3039 790.71 622.52 444.68
asia-south1 Mumbai 3 2 1.3779 0.2127 804.87 633.59 452.6
asia-south2 Delhi 3 2 1.3779 0.1299 804.87 633.59 452.6
us-west2 Los Angeles 3 2 1.3779 0.3333 804.89 633.69 452.65
us-west3 Salt Lake City 3 2 1.3779 0.4685 804.89 633.69 452.65
me-central1 Doha 3 2 1.3938 0.2072 814.17 640.99 457.86
asia-southeast1 Singapore 3 2 1.4152 0.4236 826.68 650.79 464.86
asia-northeast1 Tokyo 3 2 1.4732 0.3681 860.55 677.51 483.93
asia-northeast2 Osaka 3 2 1.4732 0.4761 860.54 677.51 483.95
asia-northeast3 Seoul 3 2 1.4732 0.4612 860.54 677.51 483.95
europe-central2 Warsaw 3 2 1.478 0.3781 863.38 679.1 485.05
europe-west2 London 🍃 3 2 1.478 0.1704 863.38 679.1 485.05
europe-west3 Frankfurt 🍃 3 2 1.478 0.4778 863.38 679.1 485.05
europe-west12 Turin 3 2 1.4798 0.3581 864.42 680.56 486.13
asia-southeast2 Jakarta 3 2 1.5426 0.4598 901.08 709.36 506.7
europe-west6 Zurich 🍃 3 2 1.6047 0.3073 937.4 738.01 527.17
asia-east2 Hong Kong 3 2 1.6051 0.5306 937.61 738.15 527.26
australia-southeast1 Sydney 3 2 1.6277 0.3744 950.84 748.92 534.94
australia-southeast2 Melbourne 3 2 1.6277 0.336 950.84 748.92 534.94
southamerica-west1 Santiago 🍃 3 2 1.6404 0.458 958.24 754.41 538.89
europe-west10 Berlin 3 2 1.7666 0.3633 1031.95 812.45 580.34
southamerica-east1 São Paulo 🍃 3 2 1.821 0.2784 1063.71 837.67 598.32
me-central2 Dammam 3 2 1.8354 0.3208 1072.15 844.1 602.95

Operating System Licenses Costs for n2-highcpu-32

Monthly costs for paid premium operating system licenses for Google Compute Engine machine type n2-highcpu-32.

Operating System Month 1Y CUD 3Y CUD
Microsoft Windows Server 1074.56
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 32 vCPU

Name ⬇️ vCPU Memory Avg. costs per hour Avg. costs per Spot VM hour Avg. costs per month
c2d-highcpu-32 32 +32.00 64 AMD Spot -0.1070 1.3076 -0.0232 0.3025 +128.2200 954.56
c2d-highmem-32 32 +224.00 256 AMD SAP Spot +0.7217 2.1363 +0.1686 0.4943 +733.1500 1559.49
c2d-standard-32 32 +96.00 128 AMD SAP Spot +0.1692 1.5838 +0.0407 0.3664 +329.8700 1156.21
e2-highcpu-32 32 = 32 Intel AMD Spot -0.4385 0.9761 -0.0183 0.3074 -113.7900 712.55
e2-standard-32 32 +96.00 128 Intel AMD Spot -0.0925 1.3221 +0.0907 0.4164 +138.7600 965.1
g2-standard-32 32 +96.00 128 Intel GPU Spot +0.5172 1.9318 +0.3130 0.6387 +583.8400 1410.18
m3-ultramem-32 32 +944.00 976 Intel SAP HANA Spot +5.5099 6.9245 +1.3284 1.6541 +4228.5600 5054.9
n1-highcpu-32 32 -3.20 28.8 Intel Spot -0.0332 1.3814 -0.0531 0.2726 -120.4600 705.88 SUD
n1-highmem-32 32 +176.00 208 Intel SAP HANA Spot +0.8915 2.3061 +0.1297 0.4554 +352.0700 1178.41 SUD
n1-standard-32 32 +88.00 120 Intel SAP Spot +0.4374 1.852 +0.0400 0.3657 +120.0300 946.37 SUD
n2-highcpu-32 32 32 Intel Spot 1.4146 0.3257 826.34 SUD
n2-highmem-32 32 +224.00 256 Intel SAP HANA Spot +1.1702 2.5848 +0.2711 0.5968 +683.5400 1509.88 SUD
n2-standard-32 32 +96.00 128 Intel SAP Spot +0.5015 1.9161 +0.1162 0.4419 +292.9500 1119.29 SUD
n2d-highcpu-32 32 = 32 AMD Spot -0.1992 1.2154 -0.0747 0.251 -116.3700 709.97 SUD
n2d-highmem-32 32 +224.00 256 AMD SAP Spot +0.8062 2.2208 +0.1331 0.4588 +470.9100 1297.25 SUD
n2d-standard-32 32 +96.00 128 AMD SAP Spot +0.2317 1.6463 +0.0144 0.3401 +135.3200 961.66 SUD
t2a-standard-32 32 +96.00 128 Arm Spot -0.0661 1.3485 +0.1389 0.4646 +158.0800 984.42
t2d-standard-32 32 +96.00 128 AMD SAP Spot +0.2291 1.6437 +0.0161 0.3418 +373.5600 1199.9