c4-highmem-8 by Google Cloud Platform

c4-highmem-8 is a 8 vCPUs, 62 GB RAM server offered by Google Cloud Platform with 8 vCPUs, 62 GiB of memory and 0 GB of storage. The pricing starts at 0.0797 USD per hour.
8 vCPU
62 GiB Memory
Spare SCore
7,130
(All-cores)
1,773
(Single-core)

Specifications

Server Metadata

Vendor ID
gcp
Server ID
1761008
Name
c4-highmem-8
Description
8 vCPUs, 62 GB RAM
Family
c4
Hw Virt
Average Time To Start
22
Status
active
Observed At
2026-10-25T13:42:08.776508

Availability

REGION / IDSPOTONDEMAND
Columbus (US) / us-east5
0.3106 USD/h 0.5214 USD/h
Ashburn (US) / us-east4
0.3113 USD/h 0.5214 USD/h
Council Bluffs (US) / us-central1
0.3121 USD/h 0.5214 USD/h
The Dalles (US) / us-west1
0.3121 USD/h 0.5214 USD/h
Moncks Corner (US) / us-east1
0.3121 USD/h 0.5214 USD/h
Mumbai (IN) / asia-south1
0.1789 USD/h 0.5422 USD/h
Delhi (IN) / asia-south2
0.2254 USD/h 0.5422 USD/h
Bangkok (TH) / asia-southeast3
0.1638 USD/h 0.5474 USD/h
Stockholm (SE) / europe-north2
0.1861 USD/h 0.5474 USD/h
Eemshaven (NL) / europe-west4
0.2389 USD/h 0.5474 USD/h
Queretaro (MX) / northamerica-south1
0.1851 USD/h 0.5683 USD/h
Tel Aviv (IL) / me-west1
0.0946 USD/h 0.5735 USD/h
Montréal (CA) / northamerica-northeast1
0.0797 USD/h 0.5741 USD/h
Hamina (FI) / europe-north1
0.1592 USD/h 0.5741 USD/h
Johannesburg (ZA) / africa-south1
0.1837 USD/h 0.5741 USD/h
St. Ghislain (BE) / europe-west1
0.2067 USD/h 0.5741 USD/h
Toronto (CA) / northamerica-northeast2
0.2123 USD/h 0.5741 USD/h
Las Vegas (US) / us-west4
0.1997 USD/h 0.5872 USD/h
London (GB) / europe-west2
0.2736 USD/h 0.5943 USD/h
Changhua County (TW) / asia-east1
0.3622 USD/h 0.6037 USD/h
Paris (FR) / europe-west9
0.0981 USD/h 0.6048 USD/h
Milan (IT) / europe-west8
0.1754 USD/h 0.6048 USD/h
Dallas (US) / us-south1
0.1639 USD/h 0.6152 USD/h
Madrid (ES) / europe-southwest1
0.187 USD/h 0.6152 USD/h
Berlin (DE) / europe-west10
0.2754 USD/h 0.6152 USD/h
Frankfurt (DE) / europe-west3
0.2776 USD/h 0.6152 USD/h
Los Angeles (US) / us-west2
0.1888 USD/h 0.6267 USD/h
Salt Lake City (US) / us-west3
0.1949 USD/h 0.6267 USD/h
Warsaw (PL) / europe-central2
0.1514 USD/h 0.6308 USD/h
Doha (QA) / me-central1
0.1711 USD/h 0.6334 USD/h
Jurong West (SG) / asia-southeast1
0.3104 USD/h 0.6432 USD/h
Sydney (AU) / australia-southeast1
0.2085 USD/h 0.6517 USD/h
Osaka (JP) / asia-northeast2
0.3038 USD/h 0.6695 USD/h
Seoul (KR) / asia-northeast3
0.3135 USD/h 0.6695 USD/h
Tokyo (JP) / asia-northeast1
0.4007 USD/h 0.6695 USD/h
Turin (IT) / europe-west12
0.1316 USD/h 0.6725 USD/h
Melbourne (AU) / australia-southeast2
0.2549 USD/h 0.6778 USD/h
Zurich (CH) / europe-west6
0.3854 USD/h 0.683 USD/h
Jakarta (ID) / asia-southeast2
0.131 USD/h 0.7011 USD/h
Hong Kong / asia-east2
0.304 USD/h 0.7293 USD/h
Santiago (CL) / southamerica-west1
0.246 USD/h 0.7455 USD/h
Osasco (BR) / southamerica-east1
0.3045 USD/h 0.8279 USD/h
Dammam (SA) / me-central2
0.1184 USD/h 0.8342 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, 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
Scalability
50

System Resources and Accelerators

MEMORY
Memory Amount
62 GiB
Memory Amount Actual
62 GiB
ACCELERATORS
Accelerator Count
0
Accelerator Memory Min
0 MiB
Accelerator Memory Total
0 MiB
Accelerators
    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

      An x86_64 memory-optimized configuration featuring dedicated Intel Xeon processing, high memory density, and strong single-core performance for data-intensive workloads.

      Memory OptimizedGeneral Purpose

      Google Cloud Platform c4-highmem-8 is a memory-optimized instance featuring 8 vCPUs and 62 GB of RAM, powered by a dedicated 2.3 GHz Intel Xeon 8581C processor. Built on the x86_64 architecture, it provides 4 physical cores with hyper-threading and a 260 MB L3 cache. The processor supports advanced instruction sets including AVX-512 and Intel AMX. The instance lacks local storage and GPU accelerators. In benchmarks, it delivers top-tier single-core performance, with a Geekbench single-core score of 2270.0 and strong single-threaded compression speeds. However, multi-core performance and large LLM inference tasks represent clear tradeoffs, with text generation for 7B models falling into the lower tier. This configuration offers qualitative resource density for memory-bound applications, making it suitable for database operations, Redis caching, and text processing workloads.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.93Score
      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) 1,818,417 ops/sec 1,919,289 ops/sec 0.95 50.00% 50.00% -2.50%
      Redis RPS (pipeline=16, SET) 8,772,841 ops/sec 11,728,058 ops/sec 0.73 20.00% 20.00% -6.10%
      PassMark Memory Mark (composite) 1,961 2,416 0.83 10.00% 10.00% -1.80%
      Memory bandwidth (read, 16 MB ~ L3) 147,086 MB/sec 108,466 MB/sec 1.4 10.00% 10.00% +3.40%
      PassMark single-thread CPU 2,550 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 2,270

      Geekbench Multi-Core

      Score: 8,519

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      12,271
      Compression
      123,799
      Encryption
      7,258
      Extended Instructions
      8,974
      Floating Point Maths
      23,317
      Integer Maths
      32,853
      Physics
      1,630
      Prime Numbers
      71
      Single Threaded
      2,550
      String Sorting
      16,853

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      1,961
      Database Operations
      4,133
      Memory Latency
      71
      Memory Read Cached
      22,837
      Memory Read Uncached
      7,673
      Memory Write
      7,327

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      264.62 237.09 0.90×
      bitops
      148,032 700,383 4.73×
      branch
      140,474 830,267 5.91×
      funccall
      749.7 3,732 4.98×
      funcret
      12,346 74,952 6.07×
      hash
      184,047 1,023,522 5.56×
      intmath
      64,354 291,664 4.53×
      nop
      267,851 806,289 3.01×
      prime
      469,003 2,198,040 4.69×
      rotate
      98,703 405,852 4.11×
      str
      906,352 5,162,858 5.70×
      wcs
      681,473 3,239,029 4.75×
      CryptographySingleMultiScaling
      crypt
      3,366 14,933 4.44×
      CompressionSingleMultiScaling
      jpeg
      834.44 4,297 5.15×
      zlib
      57 334.7 5.87×
      HypervisorSingleMultiScaling
      clock
      43,164 202,973 4.70×
      clone
      477.65 1,683 3.52×
      context
      5,145 32,608 6.34×
      cpu-sched
      60.44 544.78 9.01×
      eventfd
      159,760 1,006,049 6.30×
      fault
      30,917 128,538 4.16×
      fork
      5,581 39,048 7.00×
      getrandom
      59,826 340,604 5.69×
      hrtimers
      275,861 1,122,190 4.07×
      mprotect
      1,206,793 2,670,871 2.21×
      mtx
      12,843,768 243,857,790 18.99×
      munmap
      4,362 28,542 6.54×
      null
      891,367 5,439,853 6.10×
      pipe
      868,567 6,904,979 7.95×
      priv-instr
      825,561 4,329,625 5.24×
      resched
      3,188,024 1,096,560 0.34×
      switch
      472,680 2,596,372 5.49×
      timermix
      214,996 1,337,283 6.22×
      tlb-shootdown
      10,779 20,679 1.92×
      tsc
      577,359 3,643,617 6.31×
      usersyscall
      707,098 3,759,388 5.32×
      vdso
      89,388,034 537,499,673 6.01×
      vfork
      37,920 190,031 5.01×
      x86syscall
      9,917,844 64,099,693 6.46×
      yield
      7,548,092 7,523,541 1.00×
      zero
      6,383,787 39,810,752 6.24×
      CPU float/SIMDSingleMultiScaling
      eigen
      16,176 78,971 4.88×
      expmath
      3,516 19,401 5.52×
      fma
      1,291,631 6,538,322 5.06×
      fp
      206.31 1,124 5.45×
      fractal
      6.6 35.6 5.39×
      hyperbolic
      4,129 23,049 5.58×
      logmath
      5,154 31,304 6.07×
      matrix
      5,125 21,961 4.28×
      matrix-3d
      824.86 3,096 3.75×
      monte-carlo
      290.85 1,790 6.16×
      mpfr
      1,739 7,773 4.47×
      powmath
      1,963 11,375 5.79×
      trig
      2,646 13,507 5.11×
      veccmp
      24,919 110,157 4.42×
      vecfp
      1,517 7,335 4.84×
      vecmath
      3,915 21,079 5.38×
      vecshuf
      817.2 3,610 4.42×
      vecwide
      33,836 156,392 4.62×
      AlgorithmsSingleMultiScaling
      bitonicsort
      9 41.2 4.58×
      bsearch
      292.5 1,488 5.09×
      bubblesort
      1 4.8 4.80×
      fibsearch
      321.34 1,539 4.79×
      heapsort
      10.4 54.4 5.23×
      hsearch
      8,374 40,863 4.88×
      insertionsort
      12.8 43.8 3.42×
      malloc
      2,795,015 19,207,103 6.87×
      mcontend
      135.68 1,456 10.73×
      mergesort
      30.2 167.6 5.55×
      qsort
      21.8 117.8 5.40×
      skiplist
      5,372 32,654 6.08×
      tree
      1.8 9.6 5.33×
      MemorySingleMultiScaling
      cache
      243,515 704,176 2.89×
      cachehammer
      225,407 1,447,245 6.42×
      cacheline
      59.91 522.02 8.71×
      l1cache
      1,082 1,584 1.46×
      memcpy
      442.5 1,695 3.83×
      memrate
      0.13 0.94 7.23×
      memthrash
      199.94 346.24 1.73×
      ptr-chase
      31,874,049 132,595,615 4.16×
      spinmem
      242.79 393.38 1.62×
      stream
      5.69 207.58 36.48×
      vm
      121,127 292,379 2.41×

      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

      INSTANCEvCPUsMEMORYAccelerators
      c4-highcpu-2 24 GiB0
      c4-standard-2 27 GiB0
      c4-highmem-2 215 GiB0
      c4-highcpu-4 48 GiB0
      c4-standard-4 415 GiB0
      c4-standard-4-lssd 415 GiB0
      c4-highmem-4 431 GiB0

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      c4-highmem-8 FAQs