Google Compute Engine Machine Type n1-highmem-16

General-purpose Google Compute Engine machine type n1-highmem-16 with 16 vCPU and 104 GB memory. GCE machine type n1-highmem-16 is certified for SAP applications on Google Cloud Platform. Available in 29 Google Cloud regions. Not all CPU platforms are available in all regions.

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Google Cloud VM n1-highmem-16

Technical facts about the Google Compute Engine machine type n1-highmem-16.

Series N1
Family General-purpose
vCPU 16
Memory 104 GB
CPU Manufactur Intel
CPU Platform
  • Intel Haswell
  • Intel Ivy Bridge
  • Intel Sandy Bridge
  • Intel Skylake
  • Intel Broadwell
CPU Base Frequency 2 GHz
CPU Turbo Frequency 2.7 GHz
CPU Max. Turbo Frequency 3.5 GHz
EEMBC CoreMark Benchmark (?) 220547
EEMBC CoreMark Standard Deviation 2.37 %
EEMBC CoreMark Sample Count 70820
SAP Standard Benchmark (?) 16720
Network Bandwidth 32 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 16 vCPUs, 104 GB RAM

Costs (Pricing) for n1-highmem-16

Cost and pricing across all regions for Google Cloud VM n1-highmem-16.

Price per Hour

Min. Avg. Max.
Standard price per hour 0.9464 1.153 1.5023
Spot provisioning model (Spot VM) 0.1418 0.2277 0.4011

Price per Month

Min. Avg. Max.
Price per month with sustained use discount (SUD) 483.62 589.21 767.67
Spot provisioning model (Spot VM) 103.5 166.24 292.79
1 year commitment (CUD) 435.24 530.38 691.15
3 year commitment (CUD) 310.93 384.1 531.98

Operating System Licenses Costs

Monthly costs for paid premium operating system licenses for Google Compute Engine machine type n1-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

Price per Region

Costs and pricing for Google Compute Engine machine type n1-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 37%.

Region Location #Zones #Platf. Hour Spot Month 1Y CUD 3Y CUD
us-central1 Iowa πŸƒ 5 5 0.9464 0.1892 483.62 435.24 310.93
us-east1 South Carolina 4 5 0.9464 0.1892 483.62 435.24 310.93
us-west1 Oregon πŸƒ 3 5 0.9464 0.1892 483.62 435.24 310.93
europe-west1 Belgium πŸƒ 3 5 1.0411 0.2598 532.01 478.77 341.97
me-west1 Tel Aviv 2 3 1.0411 0.2152 531.98 531.98 531.98
europe-west4 Netherlands 3 5 1.0419 0.212 532.4 479.14 342.28
northamerica-northeast1 MontrΓ©al πŸƒ 3 5 1.0419 0.2482 532.4 479.16 342.26
northamerica-northeast2 Toronto πŸƒ 3 4 1.0419 0.2395 532.4 479.16 342.26
europe-north1 Finland πŸƒ 3 5 1.042 0.2191 532.44 479.14 342.28
us-east4 Northern Virginia 3 5 1.0659 0.1995 544.66 465.72 332.66
us-west4 Las Vegas 3 3 1.0659 0.1418 544.66 465.72 332.66
asia-east1 Taiwan 3 5 1.0959 0.2103 559.98 504 360.01
asia-south1 Mumbai 3 5 1.1367 0.2043 580.84 522.69 373.41
asia-south2 Delhi 3 4 1.1367 0.3118 580.84 522.69 373.41
us-west2 Los Angeles 3 5 1.1368 0.2397 580.89 522.8 373.43
us-west3 Salt Lake City 3 5 1.1368 0.3008 580.89 522.8 373.43
asia-southeast1 Singapore 3 5 1.1675 0.1739 596.59 536.87 383.52
asia-northeast1 Tokyo 3 5 1.2135 0.2609 620.08 558.07 398.58
asia-northeast2 Osaka 3 4 1.2135 0.2268 620.08 558.07 398.58
asia-northeast3 Seoul 3 5 1.2135 0.2293 620.08 558.07 398.58
europe-central2 Warsaw 3 4 1.2193 0.1662 623.07 560.21 400.18
europe-west2 London πŸƒ 3 5 1.2193 0.2438 623.07 560.21 400.18
europe-west3 Frankfurt πŸƒ 3 5 1.2193 0.2197 623.07 560.21 400.18
asia-southeast2 Jakarta 3 4 1.2726 0.2268 650.28 585.19 418.04
asia-east2 Hong Kong 3 5 1.3242 0.1722 676.67 609 435
europe-west6 Zurich πŸƒ 3 5 1.3242 0.2794 676.67 609.04 435.03
australia-southeast1 Sydney 3 5 1.3428 0.291 686.19 617.67 441.21
australia-southeast2 Melbourne 3 4 1.3428 0.4011 686.19 617.67 441.21
southamerica-east1 SΓ£o Paulo πŸƒ 3 5 1.5023 0.1431 767.67 691.15 493.69