Google Compute Engine Machine Type c2d-standard-16

Compute-optimized Google Compute Engine machine type c2d-standard-16 with 16 vCPU and 64 GB memory. GCE machine type c2d-standard-16 is certified for SAP applications on Google Cloud Platform. Available in 31 Google Cloud regions.

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Google Cloud VM c2d-standard-16

Technical facts about the Google Compute Engine machine type c2d-standard-16.

Series C2D
Family Compute-optimized
vCPU 16
Memory 64 GB
CPU Manufactur AMD
CPU Platform
  • AMD Milan
CPU Base Frequency 2.45 GHz
CPU Turbo Frequency 2.8 GHz
CPU Max. Turbo Frequency 3.5 GHz
EEMBC CoreMark Benchmark (?) 354249
EEMBC CoreMark Standard Deviation 0.88 %
EEMBC CoreMark Sample Count 312
SAP Standard Benchmark (?) 28357
Network Bandwidth 32 Gbps
Network Tier 1 -
Max. Disk Size 257 TB
Max. Number of Disks 128
Local SSD βœ”οΈ Optional
SAP Application βœ”οΈ Certified for SAP
SAP HANA ❌
Spot Provisioning Mode (Spot VM) βœ”οΈ
Sustained Use Discount (SUD) ❌
GCE API Description 16 vCPUs, 64 GB RAM

Costs (Pricing) for c2d-standard-16

Cost and pricing across all regions for Google Cloud VM c2d-standard-16.

Price per Hour

Min. Avg. Max.
Standard price per hour 0.4794 0.8719 1.1622
Spot provisioning model (Spot VM) 0.082 0.2042 0.4942

Price per Month

Min. Avg. Max.
Price per month 349.98 636.48 848.42
Spot provisioning model (Spot VM) 59.9 149.08 360.75
1 year commitment (CUD) 220.47 400.97 534.48
3 year commitment (CUD) 157.45 286.61 381.74

Operating System Licenses Costs

Monthly costs for paid premium operating system licenses for Google Compute Engine machine type c2d-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 c2d-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 59%.

Region Location #Zones #Platf. Hour Spot Month 1Y CUD 3Y CUD
asia-south1 Mumbai 3 1 0.4794 0.1403 349.98 220.47 157.45
us-central1 Iowa πŸƒ 4 1 0.7264 0.3246 530.26 334.05 238.59
us-east1 South Carolina 3 1 0.7264 0.3246 530.26 334.05 238.59
us-west1 Oregon πŸƒ 3 1 0.7264 0.3246 530.26 334.05 238.59
me-west1 Tel Aviv 1 1 0.799 0.2405 583.29 367.45 262.45
africa-south1 Johannesburg 3 1 0.7998 0.2086 583.85 367.81 262.71
europe-west1 Belgium πŸƒ 3 1 0.7998 0.1074 583.85 367.81 262.71
europe-west4 Netherlands πŸƒ 3 1 0.7998 0.2924 583.85 367.81 262.71
northamerica-northeast1 MontrΓ©al πŸƒ 2 1 0.7998 0.2227 583.85 367.81 262.71
northamerica-northeast2 Toronto πŸƒ 2 1 0.7998 0.1593 583.85 367.81 262.71
us-east4 Northern Virginia 3 1 0.818 0.2489 597.18 376.25 268.72
us-west4 Las Vegas 3 1 0.818 0.1461 597.18 376.25 268.72
asia-east1 Taiwan 3 1 0.8411 0.1575 613.98 386.81 276.3
europe-west8 Milan 1 1 0.8426 0.1647 615.1 387.5 276.76
europe-southwest1 Madrid πŸƒ 1 1 0.8571 0.1622 625.71 394.18 281.53
asia-south2 Delhi 2 1 0.8724 0.1615 636.89 401.21 286.6
us-west2 Los Angeles 2 1 0.8732 0.1976 637.41 401.56 286.81
us-west3 Salt Lake City 1 1 0.8732 0.082 637.41 401.56 286.81
europe-central2 Warsaw 2 1 0.8796 0.1494 642.07 404.21 295.27
asia-southeast1 Singapore 3 1 0.8961 0.4942 654.16 412.13 294.38
asia-northeast1 Tokyo 2 1 0.9328 0.35 680.94 428.99 306.44
asia-northeast2 Osaka 3 1 0.9328 0.1163 680.94 428.99 306.44
asia-northeast3 Seoul 3 1 0.9328 0.1553 680.94 428.99 306.44
europe-west2 London πŸƒ 3 1 0.9358 0.327 683.14 430.38 307.42
europe-west3 Frankfurt 3 1 0.9358 0.2123 683.14 430.38 307.42
europe-west12 Turin 1 1 0.937 0.157 684.04 430.92 307.78
asia-east2 Hong Kong 1 1 1.0161 0.1558 741.76 467.32 333.79
australia-southeast1 Sydney 1 1 1.031 0.0969 752.66 474.17 338.72
australia-southeast2 Melbourne 1 1 1.031 0.1496 752.66 474.17 338.72
southamerica-east1 SΓ£o Paulo πŸƒ 3 1 1.1534 0.1962 841.96 530.44 378.9
me-central2 Dammam 1 1 1.1622 0.1053 848.42 534.48 381.74