Google Compute Engine Machine Type n2-highmem-48

General-purpose Google Compute Engine machine type n2-highmem-48 with 48 vCPU and 384 GB memory. GCE machine type n2-highmem-48 is certified for SAP applications and SAP HANA on Google Cloud Platform. Available in 39 Google Cloud regions. Not all CPU platforms are available in all regions.

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Google Cloud VM n2-highmem-48

Technical facts about the Google Compute Engine machine type n2-highmem-48.

Series N2
Family General-purpose
vCPU 48
Memory 384 GB
CPU Manufactur Intel
CPU Platform
  • Intel Ice Lake
  • Intel Cascade Lake
CPU Base Frequency 2.8 GHz
CPU Turbo Frequency 3.4 GHz
CPU Max. Turbo Frequency 3.9 GHz
EEMBC CoreMark Benchmark (?) 806506
EEMBC CoreMark Standard Deviation 1.18 %
EEMBC CoreMark Sample Count 1141
SAP Standard Benchmark (?) 85778
Network Bandwidth 32 Gbps
Network Tier 1 50 Gbps
Max. Disk Size 512 TB
Max. Number of Disks 128
Local SSD ✔️
SAP Application ✔️ Certified for SAP
SAP HANA ✔️ Certified for SAP HANA
Spot Provisioning Mode (Spot VM) ✔️
Sustained Use Discount (SUD) ✔️
GCE API Description 48 vCPUs 384 GB RAM

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Costs (Pricing) for n2-highmem-48

Cost and pricing across all regions for Google Cloud VM n2-highmem-48.

Price per Hour

Min. Avg. Max.
Standard price per hour 3.1443 3.8772 5.0309
Spot provisioning model (Spot VM) 0.3111 0.9009 1.5109
Discount Spot VM vs. standard 2.1477 (60%) 2.9762 (77%) 4.2643 (91%)

Price per Month

Min. Avg. Max.
Price per month with sustained use discount (SUD) 1836.75 2264.83 2938.8
Spot provisioning model (Spot VM) 227.13 657.68 1102.99
Discount Spot VM vs. month 1096.77 (50%) 1607.14 (71%) 2384.99 (89%)
1 year commitment (CUD) 1446 1778.76 2313.59
Discount 1Y CUD vs. month 390.76 (21%) 486.07 (21%) 625.21 (25%)
3 year commitment (CUD) 1033.01 1270.62 1652.82
Discount 3Y CUD vs. month 803.74 (44%) 994.21 (44%) 1285.98 (47%)

Price per Region

Costs and pricing for Google Compute Engine machine type n2-highmem-48 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 3.1443 0.7068 1836.75 1446 1033.01
us-east1 South Carolina 4 2 3.1443 0.7068 1836.75 1446 1033.01
us-east5 Columbus 3 2 3.1443 0.9967 1836.75 1446 1033.01
us-west1 Oregon 🍃 3 2 3.1443 0.7068 1836.75 1446 1033.01
me-west1 Tel Aviv 3 2 3.4588 1.2653 2020.43 1590.6 1136.32
europe-west1 Belgium 🍃 3 2 3.4589 0.4344 2020.52 1590.64 1136.14
europe-west4 Netherlands 3 2 3.4615 0.8396 2022.01 1591.83 1137.15
northamerica-northeast1 Montréal 🍃 3 2 3.4615 0.8396 2022.01 1591.83 1136.84
northamerica-northeast2 Toronto 🍃 3 2 3.4615 0.3111 2022.01 1591.83 1136.84
europe-north1 Finland 🍃 3 2 3.4617 0.837 2022.12 1591.83 1137.15
us-west4 Las Vegas 3 2 3.541 0.8531 2068.47 1547.26 1105.2
us-east4 Northern Virginia 3 2 3.5411 0.6703 2068.52 1547.26 1105.2
asia-east1 Taiwan 3 2 3.6408 0.7672 2126.76 1674.46 1196.09
europe-west8 Milan 3 2 3.6474 0.6349 2130.63 1677.35 1198.3
europe-west9 Paris 🍃 3 2 3.6474 0.9597 2130.63 1677.35 1198.3
europe-southwest1 Madrid 🍃 3 2 3.7103 0.4773 2167.37 1706.27 1218.96
us-south1 Dallas 3 2 3.7103 0.9816 2167.37 1706.27 1218.96
asia-south1 Mumbai 3 2 3.7764 0.7465 2205.94 1736.51 1240.59
asia-south2 Delhi 3 2 3.7764 0.4187 2205.94 1736.51 1240.59
us-west2 Los Angeles 3 2 3.7767 0.9156 2206.17 1736.9 1240.66
us-west3 Salt Lake City 3 2 3.7767 1.5109 2206.17 1736.9 1240.66
me-central1 Doha 3 2 3.8204 0.6682 2231.65 1756.88 1255.11
asia-southeast1 Singapore 3 2 3.8787 1.2874 2265.75 1783.64 1274.19
asia-northeast1 Tokyo 3 2 4.0306 1.0071 2354.44 1853.65 1323.88
asia-northeast2 Osaka 3 2 4.0379 1.1863 2358.73 1857.08 1326.61
asia-northeast3 Seoul 3 2 4.0379 1.2033 2358.73 1857.08 1326.61
europe-central2 Warsaw 3 2 4.0509 0.9007 2366.32 1861.18 1329.24
europe-west2 London 3 2 4.0509 0.5484 2366.32 1861.18 1329.24
europe-west3 Frankfurt 3 2 4.0509 1.2946 2366.32 1861.18 1329.24
europe-west12 Turin 3 2 4.0562 0.9814 2369.41 1865.33 1332.59
asia-southeast2 Jakarta 3 2 4.2278 1.2007 2469.67 1944.17 1388.87
europe-west6 Zurich 🍃 3 2 4.3986 0.7655 2569.41 2022.89 1445.15
asia-east2 Hong Kong 3 2 4.3994 1.2644 2569.92 2023.1 1445.05
australia-southeast1 Sydney 3 2 4.4613 1.025 2606.06 2052.01 1465.65
australia-southeast2 Melbourne 3 2 4.4613 0.9695 2606.06 2052.01 1465.65
southamerica-west1 Santiago 3 1 4.4964 1.3213 2626.55 2067.77 1477.21
europe-west10 Berlin 3 2 4.8423 1.1716 2828.6 2226.83 1590.84
southamerica-east1 São Paulo 🍃 3 2 4.991 0.7267 2915.5 2296.24 1640.19
me-central2 Dammam 3 2 5.0309 1.0345 2938.8 2313.59 1652.82

Operating System Licenses Costs for n2-highmem-48

Monthly costs for paid premium operating system licenses for Google Compute Engine machine type n2-highmem-48.

Operating System Month 1Y CUD 3Y CUD
Microsoft Windows Server 1611.84
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 48 vCPU

Name ⬇️ vCPU Memory Avg. costs per hour Avg. costs per Spot VM hour Avg. costs per month
a2-highgpu-4g 48 -44.00 340 Intel GPU Spot +11.7953 15.6725 +5.2507 6.1516 +9176.0800 11440.91
a2-ultragpu-4g 48 +296.00 680 Intel GPU Spot +18.4846 22.3618 +7.4632 8.3641 +14059.2800 16324.11
g2-standard-48 48 -192.00 192 Intel GPU Spot +0.4898 4.367 +0.5258 1.4267 +923.0700 3187.9
n2-highcpu-48 48 -336.00 48 Intel Spot -1.7553 2.1219 -0.4087 0.4922 -1025.3200 1239.51 SUD
n2-highmem-48 48 384 Intel SAP HANA Spot 3.8772 0.9009 2264.83 SUD
n2-standard-48 48 -192.00 192 Intel SAP Spot -1.0030 2.8742 -0.2335 0.6674 -585.9000 1678.93 SUD
n2d-highcpu-48 48 -336.00 48 AMD Spot -2.0541 1.8231 -0.5094 0.3915 -1199.8700 1064.96 SUD
n2d-highmem-48 48 = 384 AMD SAP Spot -0.5461 3.3311 -0.1857 0.7152 -318.9600 1945.87 SUD
n2d-standard-48 48 -192.00 192 AMD SAP Spot -1.4078 2.4694 -0.3707 0.5302 -822.3400 1442.49 SUD
t2a-standard-48 48 -192.00 192 Arm Spot -1.8544 2.0228 -0.2326 0.6683 -788.2000 1476.63
t2d-standard-48 48 -192.00 192 AMD SAP Spot -1.4116 2.4656 -0.3536 0.5473 -464.9800 1799.85