c4n-highcpu-8 by Google Cloud Platform

c4n-highcpu-8 is a 8 vCPUs, 16 GB RAM server offered by Google Cloud Platform with 8 vCPUs, 16 GiB of memory and 0 GB of storage. The pricing starts at 0.1965 USD per hour.
8 vCPU
16 GiB Memory
Spare SCore
8,881
(All-cores)
2,169
(Single-core)

Specifications

Server Metadata

Vendor ID
gcp
Server ID
999935502
Name
c4n-highcpu-8
Description
8 vCPUs, 16 GB RAM
Family
Network Optimized
Series
c4n
Hw Virt
Average Time To Start
21
Status
active
Observed At
2026-11-15T00:35:24.251984

Availability

Region / IDSpotOndemand
Columbus (US) / us-east5
0.1965 USD/h
0.5443 USD/h
Council Bluffs (US) / us-central1
0.2069 USD/h
0.5443 USD/h
The Dalles (US) / us-west1
0.2069 USD/h
0.5443 USD/h
Moncks Corner (US) / us-east1
0.2395 USD/h
0.5443 USD/h
Eemshaven (NL) / europe-west4
0.2286 USD/h
0.5715 USD/h
London (GB) / europe-west2
0.2358 USD/h
0.6205 USD/h
Frankfurt (DE) / europe-west3
0.2569 USD/h
0.6423 USD/h

Processor

vCPUs
8
CPU Allocation
Dedicated
CPU Cores
4
CPU Speed
2.3 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8581C
CPU L1D Cache
48 KiB
CPU L1D Cache Total
192 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
128 KiB
CPU L2 Cache
2 MiB
CPU L2 Cache Total
8 MiB
CPU L3 Cache
260 MiB
CPU L3 Cache Total
260 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, ss, ht, syscall, nx, pdpe1gb, rdtscp, lm, constant_tsc, rep_good, nopl, xtopology, nonstop_tsc, cpuid, aperfmperf, tsc_known_freq, pni, pclmulqdq, monitor, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, abm, 3dnowprefetch, ssbd, ibrs, ibpb, stibp, ibrs_enhanced, fsgsbase, tsc_adjust, bmi1, hle, avx2, smep, bmi2, erms, invpcid, rtm, avx512f, avx512dq, rdseed, adx, smap, avx512ifma, clflushopt, clwb, avx512cd, sha_ni, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, avx_vnni, avx512_bf16, wbnoinvd, arat, avx512vbmi, umip, avx512_vbmi2, gfni, vaes, vpclmulqdq, avx512_vnni, avx512_bitalg, avx512_vpopcntdq, la57, rdpid, cldemote, movdiri, movdir64b, fsrm, md_clear, serialize, tsxldtrk, amx_bf16, avx512_fp16, amx_tile, amx_int8, arch_capabilities
Ecpus
4.1
Scalability
51.25

System Resources and Accelerators

Memory
Memory Amount
16 GiB
Memory Amount Actual
16 GiB
Accelerators
Accelerator Count
0
Accelerator Memory Min
0 MiB
Accelerator Memory Total
0 MiB
Accelerators
    Storage
    Storage Size
    0 GB
    Storages
      Compatible Storage IDs
      30014, 30017, 30012, 30013, 30016
      Network
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated compute-optimized instance featuring advanced matrix extensions and top-tier single-core performance for CPU-intensive workloads.

      Google Cloud Platform c4n-highcpu-8 is an x86_64 compute-optimized instance featuring 8 vCPUs and 16 GB of RAM, powered by a dedicated Intel Xeon 8581C processor running at 2.3 GHz. With a 1:2 vCPU-to-RAM ratio, it is designed for compute-intensive tasks. The processor includes advanced instruction sets like Intel AMX and AVX-512, which enhance cryptographic and vector processing. Benchmarks show top-tier single-core performance, particularly in text processing and small-model LLM text generation, alongside strong single-threaded compression speeds. However, multi-core benchmarks and memory bandwidth remain in the average range. Lacking local storage and bundled GPUs, this instance represents a cost-efficient choice for dedicated CPU workloads. It is highly suited for software compilation, web serving, lightweight machine learning inference, and single-threaded data processing.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.92Score
      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) 1,655,333 ops/sec 1,933,252 ops/sec 0.89 50.00% 50.00% -5.70%
      Redis RPS (pipeline=16, SET) 8,484,961 ops/sec 11,814,424 ops/sec 0.71 20.00% 20.00% -6.60%
      PassMark Memory Mark (composite) 1,974 2,408 0.83 10.00% 10.00% -1.80%
      Memory bandwidth (read, 16 MB ~ L3) 151,764 MB/sec 108,674 MB/sec 1.4 10.00% 10.00% +3.40%
      PassMark single-thread CPU 3,241 Mops/s 2,365 Mops/s 1.3 10.00% 10.00% +2.70%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 2,250

      Geekbench Multi-Core

      Score: 8,467

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 15,831
      Compression
      		 158,268
      Encryption
      		 9,392
      Extended Instructions
      		 12,094
      Floating Point Maths
      		 30,090
      Integer Maths
      		 42,459
      Physics
      		 2,112
      Prime Numbers
      		 89
      Single Threaded
      		 3,241
      String Sorting
      		 21,409

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,974
      Database Operations
      		 4,988
      Memory Latency
      		 59
      Memory Read Cached
      		 28,073
      Memory Read Uncached
      		 7,749
      Memory Write
      		 7,357

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 324.79 271.26 0.84×
      bitops
      		 166,394 806,370 4.85×
      branch
      		 156,566 970,386 6.20×
      funccall
      		 846.78 4,463 5.27×
      funcret
      		 13,977 88,205 6.31×
      hash
      		 195,460 1,159,132 5.93×
      intmath
      		 72,133 331,957 4.60×
      nop
      		 295,112 941,022 3.19×
      prime
      		 526,495 2,550,484 4.84×
      rotate
      		 111,376 473,473 4.25×
      str
      		 1,014,306 5,901,500 5.82×
      wcs
      		 763,819 3,779,936 4.95×
      CryptographySingleMultiScaling
      crypt
      		 3,672 17,504 4.77×
      CompressionSingleMultiScaling
      jpeg
      		 923.66 4,906 5.31×
      zlib
      		 84.25 398.99 4.74×
      HypervisorSingleMultiScaling
      clock
      		 49,010 232,262 4.74×
      clone
      		 510.43 2,156 4.22×
      context
      		 5,823 38,683 6.64×
      cpu-sched
      		 62.75 519.76 8.28×
      eventfd
      		 165,055 1,014,899 6.15×
      fault
      		 34,782 145,497 4.18×
      fork
      		 5,878 46,208 7.86×
      getrandom
      		 65,939 387,514 5.88×
      hrtimers
      		 172,429 1,123,170 6.51×
      mprotect
      		 1,336,783 3,128,991 2.34×
      mtx
      		 15,169,782 279,049,612 18.40×
      munmap
      		 4,905 32,994 6.73×
      null
      		 1,011,422 6,373,175 6.30×
      pipe
      		 902,312 7,850,785 8.70×
      priv-instr
      		 942,238 4,966,056 5.27×
      resched
      		 3,856,703 861,109 0.22×
      switch
      		 809,171 2,978,171 3.68×
      timermix
      		 228,681 1,483,040 6.49×
      tlb-shootdown
      		 12,389 24,192 1.95×
      tsc
      		 650,470 4,272,065 6.57×
      usersyscall
      		 800,436 4,348,500 5.43×
      vdso
      		 96,296,449 585,347,053 6.08×
      vfork
      		 41,076 217,946 5.31×
      x86syscall
      		 11,246,573 74,379,898 6.61×
      yield
      		 10,015,291 8,374,970 0.84×
      zero
      		 7,265,827 47,377,278 6.52×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 18,046 82,838 4.59×
      expmath
      		 3,929 22,962 5.84×
      fma
      		 1,462,482 7,643,832 5.23×
      fp
      		 224.89 1,381 6.14×
      fractal
      		 7.2 41.8 5.81×
      hyperbolic
      		 4,559 26,299 5.77×
      logmath
      		 5,820 36,966 6.35×
      matrix
      		 5,742 26,336 4.59×
      matrix-3d
      		 922.93 3,547 3.84×
      monte-carlo
      		 323.6 2,120 6.55×
      mpfr
      		 1,953 9,148 4.68×
      powmath
      		 2,187 13,340 6.10×
      trig
      		 3,002 15,833 5.27×
      veccmp
      		 28,038 129,812 4.63×
      vecfp
      		 1,725 8,695 5.04×
      vecmath
      		 4,406 24,571 5.58×
      vecshuf
      		 921.97 4,237 4.60×
      vecwide
      		 39,232 191,209 4.87×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 10 47.2 4.72×
      bsearch
      		 322.61 1,646 5.10×
      bubblesort
      		 1.2 6.4 5.33×
      fibsearch
      		 361.24 1,851 5.12×
      heapsort
      		 11.2 62.2 5.55×
      hsearch
      		 9,506 45,390 4.77×
      insertionsort
      		 14.4 51 3.54×
      malloc
      		 3,075,429 21,777,509 7.08×
      mcontend
      		 133.91 1,593 11.89×
      mergesort
      		 34.4 197.6 5.74×
      qsort
      		 24.6 138.4 5.63×
      skiplist
      		 6,114 38,724 6.33×
      tree
      		 2 11.2 5.60×
      MemorySingleMultiScaling
      cache
      		 249,395 706,020 2.83×
      cachehammer
      		 232,293 1,494,939 6.44×
      cacheline
      		 70.91 598.48 8.44×
      l1cache
      		 1,226 1,888 1.54×
      memcpy
      		 494.97 1,917 3.87×
      memrate
      		 0.13 0.98 7.54×
      memthrash
      		 210.04 359.47 1.71×
      ptr-chase
      		 34,168,800 216,145,000 6.33×
      spinmem
      		 259.79 413.09 1.59×
      stream
      		 5.78 216.1 37.39×
      vm
      		 162,163 292,558 1.80×

      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

      PostgreSQL heavy read-only throughput

      Alternatives

      Servers of the Same Family

      INSTANCEvCPUsMEMORYAccelerators
      c4n-highcpu-2 24 GiB0
      c4n-standard-2 27 GiB0
      c4n-highmem-2 215 GiB0
      m4n-hypermem-2 231 GiB0
      c4n-highcpu-4 48 GiB0
      c4n-standard-4 415 GiB0
      c4n-standard-4-lssd 415 GiB0

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      c4n-highcpu-8 FAQs