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c3d-highcpu-16 by Google Cloud Platform

c3d-highcpu-16 is a 16 vCPUs, 32 GB RAM server offered by Google Cloud Platform with 16 vCPUs, 32 GiB of memory and 0 GB of storage. The pricing starts at 0.1012 USD per hour.
16 vCPU
32 GiB Memory
Spare SCore
22962
(All-cores)
2866
(Single-core)

Specifications

Server Metadata

Vendor ID
gcp
Server ID
1700016
Name
c3d-highcpu-16
Description
16 vCPUs, 32 GB RAM
Family
c3d
Hw Virt
Average Time To Start
16
Status
active
Observed At
2026-07-27T21:45:29.688658

Availability

REGION / IDSPOTONDEMAND
Council Bluffs (US) / us-central1
0.1337 USD/h 0.5997 USD/h
The Dalles (US) / us-west1
0.1337 USD/h 0.5997 USD/h
Moncks Corner (US) / us-east1
0.1337 USD/h 0.5997 USD/h
Ashburn (US) / us-east4
0.2477 USD/h 0.5997 USD/h
Mumbai (IN) / asia-south1
0.2126 USD/h 0.6237 USD/h
Eemshaven (NL) / europe-west4
0.3295 USD/h 0.6297 USD/h
Queretaro (MX) / northamerica-south1
0.1718 USD/h 0.6537 USD/h
St. Ghislain (BE) / europe-west1
0.1702 USD/h 0.6603 USD/h
Changhua County (TW) / asia-east1
0.2519 USD/h 0.6944 USD/h
Frankfurt (DE) / europe-west3
0.3678 USD/h 0.7076 USD/h
Los Angeles (US) / us-west2
0.1785 USD/h 0.7209 USD/h
Jurong West (SG) / asia-southeast1
0.3505 USD/h 0.7398 USD/h
Sydney (AU) / australia-southeast1
0.1012 USD/h 0.7496 USD/h
Melbourne (AU) / australia-southeast2
0.1637 USD/h 0.7796 USD/h
Dammam (SA) / me-central2
0.2029 USD/h 0.9595 USD/h

Processor

vCPUs
16
CPU Allocation
Dedicated
CPU Cores
8
CPU Architecture
x86_64
CPU Manufacturer
AMD
CPU Family
EPYC
CPU Model
9B14
CPU L1D Cache
32 KiB
CPU L1D Cache Total
256 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
256 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
8 MiB
CPU L3 Cache
32 MiB
CPU L3 Cache Total
32 MiB
CPU Flags
fpu, vme, de, pse, tsc, msr, pae, mce, cx8, apic, sep, mtrr, pge, mca, cmov, pat, pse36, clflush, mmx, fxsr, sse, sse2, ht, syscall, nx, mmxext, fxsr_opt, pdpe1gb, rdtscp, lm, constant_tsc, rep_good, nopl, nonstop_tsc, cpuid, extd_apicid, tsc_known_freq, pni, pclmulqdq, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, cmp_legacy, cr8_legacy, abm, sse4a, misalignsse, 3dnowprefetch, osvw, topoext, ssbd, ibrs, ibpb, stibp, vmmcall, fsgsbase, tsc_adjust, bmi1, avx2, smep, bmi2, erms, invpcid, avx512f, avx512dq, rdseed, adx, smap, avx512ifma, clflushopt, clwb, avx512cd, sha_ni, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, avx512_bf16, clzero, xsaveerptr, wbnoinvd, arat, avx512vbmi, umip, avx512_vbmi2, gfni, vaes, vpclmulqdq, avx512_vnni, avx512_bitalg, avx512_vpopcntdq, rdpid, fsrm
Ecpus
8
Scalability
100

System Resources and Accelerators

MEMORY
Memory Amount
32 GiB
Memory Amount Actual
32 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    0 GB
    Storages
      NETWORK
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A compute-optimized x86_64 server featuring strong single-core performance and dedicated AMD EPYC processors for compute-heavy, memory-light workloads.

      Compute OptimizedGeneral Purpose

      Google Cloud Platform c3d-highcpu-16 is an x86_64 compute-optimized server featuring 16 dedicated vCPUs and 32.0 GB of RAM, powered by an AMD EPYC 9B14 processor. It delivers strong single-core CPU performance and text processing capabilities, though multi-core benchmarks and web serving throughput align with average tiers. A key hardware tradeoff is its memory subsystem, where uncached large-block read and write bandwidths are weak to poor. Lacking local storage and GPU accelerators, this instance provides a cost-efficient profile for compute-heavy, memory-light workloads. It is best suited for software compilation, text processing, and lightweight model inference.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.844Score
      Precomputed compound score for Cache Intensive workloads. A weighted average (geometric mean) of benchmark scores compared to their medians: score = ∏ (x_i / m_i)^(w_i / Σw). The score of 1.0 represents a synthetic baseline server with the median performance of each component benchmark; 0.5 means roughly half the performance; and 2.0 means twice the performance of that reference profile. Component weights: 50% Redis RPS (pipeline=1, SET), 20% Redis RPS (pipeline=16, SET), 10% PassMark Memory Mark (composite), 10% Memory bandwidth (read, 16 MB ~ L3), 10% PassMark single-thread CPU. Rationale for component selection: In-memory key-value store workload, mixing direct Redis performance metrics with memory speed and latency benchmarks, and single-core CPU performance profiles.
      Component Score Weight Impact
      Raw Reference Normalized Target Actual
      Redis RPS (pipeline=1, SET) 1,559,231 ops/sec 1,896,415 ops/sec 0.822 50.00% 50.00% -9.34%
      Redis RPS (pipeline=16, SET) 11,638,018 ops/sec 11,539,523 ops/sec 1.01 20.00% 20.00% +0.20%
      PassMark Memory Mark (composite) 2,581 2,411 1.07 10.00% 10.00% +0.68%
      Memory bandwidth (read, 16 MB ~ L3) 42,421 MB/sec 107,368 MB/sec 0.395 10.00% 10.00% -8.87%
      PassMark single-thread CPU 2,687 Mops/s 2,363 Mops/s 1.14 10.00% 10.00% +1.32%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,885

      Geekbench Multi-Core

      Score: 10,173

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      24420
      Compression
      287520
      Encryption
      17891
      Extended Instructions
      20429
      Floating Point Maths
      40346
      Integer Maths
      70755
      Physics
      2189
      Prime Numbers
      122
      Single Threaded
      2687
      String Sorting
      39189

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      2581
      Database Operations
      7135
      Memory Latency
      69
      Memory Read Cached
      25800
      Memory Read Uncached
      24890
      Memory Write
      18509

      Stress-ng Raw Scores

      Stress-ng Relative Multicore Performance

      LLM Inference Speed for Prompt Processing

      LLM Inference Speed for Text Generation

      Static Web Server

      Redis

      Alternatives

      Servers of the Same Family

      INSTANCEvCPUsMEMORYGPUs
      c3d-highcpu-4 48 GiB0
      c3d-standard-4 416 GiB0
      c3d-highmem-4 432 GiB0
      c3d-highcpu-8 816 GiB0
      c3d-standard-8 832 GiB0
      c3d-standard-8-lssd 832 GiB0
      c3d-highmem-8 864 GiB0

      Similar Servers

      INSTANCEVENDORvCPUsMEMORYGPUs

      c3d-highcpu-16 FAQs