Google Compute Engine Machine Type g2-standard-16

Accelerator-optimized Google Compute Engine machine type g2-standard-16 with 16 vCPU and 64 GB memory. Available in 17 Google Cloud regions.

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Google Cloud VM g2-standard-16

Technical facts about the Google Compute Engine machine type g2-standard-16.

Series G2
Family Accelerator-optimized
vCPU 16
Memory 64 GB
CPU Manufactur Intel
CPU Platform
  • Intel Cascade Lake
CPU Base Frequency 2.2 GHz
CPU Turbo Frequency 2.9 GHz
CPU Max. Turbo Frequency 3.7 GHz
Accelerator (GPUs) 1
Accelerator Type NVIDIA L4
EEMBC CoreMark Benchmark (?) 223514
EEMBC CoreMark Standard Deviation 0.51 %
EEMBC CoreMark Sample Count 28
SAP Standard Benchmark (?) -
Network Bandwidth 32 Gbps
Network Tier 1 -
Max. Disk Size 257 TB
Max. Number of Disks 128
Local SSD โœ”๏ธ
SAP Application โŒ
SAP HANA โŒ
Spot Provisioning Mode (Spot VM) โœ”๏ธ
Sustained Use Discount (SUD) โŒ
GCE API Description Graphics Optimized: 1 NVIDIA L4 GPU, 16 vCPUs, 64GB RAM

Costs (Pricing) for g2-standard-16

Cost and pricing across all regions for Google Cloud VM g2-standard-16.

Price per Hour

Min. Avg. Max.
Standard price per hour 1.1435 1.329 1.8355
Spot provisioning model (Spot VM) 0.2722 0.4371 0.5769

Price per Month

Min. Avg. Max.
Price per month 834.72 970.14 1339.94
Spot provisioning model (Spot VM) 198.69 319.07 421.17
1 year commitment (CUD) 525.87 611.19 844.16
3 year commitment (CUD) 375.62 436.56 602.97

Operating System Licenses Costs

Monthly costs for paid premium operating system licenses for Google Compute Engine machine type g2-standard-16.

Operating System Month 1Y CUD 3Y CUD
Microsoft Windows Server 537.28
SUSE Linux Enterprise Server 80.3
Red Hat Enterprise Linux 126.14 126.14 126.14
SUSE Linux Enterprise Server for SAP 299.3 119.94 107.75
Red Hat Enterprise Linux for SAP 189.8 189.8 189.8

Price per Region

Costs and pricing for Google Compute Engine machine type g2-standard-16 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-east4 Northern Virginia 2 1 1.1435 0.4573 834.72 525.87 375.62
us-central1 Iowa ๐Ÿƒ 3 1 1.1472 0.4208 837.46 527.6 376.86
us-east1 South Carolina 3 1 1.1472 0.4208 837.46 527.6 376.86
us-west1 Oregon ๐Ÿƒ 3 1 1.1472 0.4208 837.46 527.6 376.86
asia-south1 Mumbai 3 1 1.1942 0.4765 871.76 549.21 392.29
europe-west4 Netherlands ๐Ÿƒ 3 1 1.2058 0.4384 880.21 554.54 396.1
europe-west1 Belgium ๐Ÿƒ 2 1 1.2632 0.4669 922.13 580.94 414.96
northamerica-northeast2 Toronto ๐Ÿƒ 1 1 1.2632 0.4023 922.13 580.94 414.96
us-west4 Las Vegas 2 1 1.2921 0.4017 943.23 594.24 424.46
europe-west2 London ๐Ÿƒ 2 1 1.3062 0.3835 953.52 600.72 429.09
asia-east1 Taiwan 3 1 1.3284 0.3259 969.7 610.91 436.36
europe-west3 Frankfurt ๐Ÿƒ 2 1 1.352 0.494 986.98 621.8 444.14
asia-southeast1 Singapore 3 1 1.4153 0.5282 1033.18 650.9 464.93
asia-northeast1 Tokyo 3 1 1.4732 0.4361 1075.47 677.55 483.96
asia-northeast3 Seoul 2 1 1.4732 0.2722 1075.47 677.55 483.96
europe-west6 Zurich ๐Ÿƒ 2 1 1.6048 0.508 1171.53 738.06 527.19
me-central2 Dammam 1 1 1.8355 0.5769 1339.94 844.16 602.97