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c4-standard-32-lssd by Google Cloud Platform

c4-standard-32-lssd is a 32 vCPUs, 120 GB RAM, 5 local SSDs server offered by Google Cloud Platform with 32 vCPUs, 120 GiB of memory and 0 GB of storage. The pricing starts at 0.4988 USD per hour.
32 vCPU
120 GiB Memory
Spare SCore
36538
(All-cores)
2299
(Single-core)

Specifications

Server Details

General
Vendor ID
gcp
Server ID
999913032
Name
c4-standard-32-lssd
API Reference
c4-standard-32-lssd
Display Name
c4-standard-32-lssd
Description
32 vCPUs, 120 GB RAM, 5 local SSDs
Family
c4
Status
active
Observed At
2025-09-24T11:29:48.220932
CPU
vCPUs
32
CPU Allocation
Dedicated
CPU Cores
16
CPU Speed
2.3 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
6985P-C
CPU L1 Cache
2 MiB
CPU L2 Cache
32 MiB
CPU L3 Cache
504 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, vmx, 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, tpr_shadow, flexpriority, ept, vpid, ept_ad, 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, vnmi, avx512vbmi, umip, pku, ospke, waitpkg, avx512_vbmi2, gfni, vaes, vpclmulqdq, avx512_vnni, avx512_bitalg, avx512_vpopcntdq, la57, rdpid, bus_lock_detect, cldemote, movdiri, movdir64b, fsrm, md_clear, serialize, tsxldtrk, amx_bf16, avx512_fp16, amx_tile, amx_int8, flush_l1d, arch_capabilities
Memory
Memory Amount
120 GiB
GPU
GPU Count
0
GPUs
    Storage
    Storage Size
    0 GB
    Storages
      Network
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      Availability

      REGION / IDSPOTONDEMAND
      Council Bluffs (US) / us-central1
      0.56444 USD/h 1.58136 USD/h
      The Dalles (US) / us-west1
      0.56444 USD/h 1.58136 USD/h
      Moncks Corner (US) / us-east1
      0.56444 USD/h 1.58136 USD/h
      Columbus (US) / us-east5
      0.566 USD/h 1.58136 USD/h
      Ashburn (US) / us-east4
      0.5928 USD/h 1.58136 USD/h
      Mumbai (IN) / asia-south1
      0.5918 USD/h 1.64461 USD/h
      Eemshaven (NL) / europe-west4
      0.66415 USD/h 1.66043 USD/h
      Stockholm (SE) / europe-north2
      0.66415 USD/h 1.66043 USD/h
      St. Ghislain (BE) / europe-west1
      0.6964 USD/h 1.74124 USD/h
      Toronto (CA) / northamerica-northeast2
      0.69647 USD/h 1.74124 USD/h
      Las Vegas (US) / us-west4
      0.71241 USD/h 1.78109 USD/h
      London (GB) / europe-west2
      0.721 USD/h 1.80275 USD/h
      Changhua County (TW) / asia-east1
      0.73239 USD/h 1.83106 USD/h
      Milan (IT) / europe-west8
      0.73372 USD/h 1.83438 USD/h
      Paris (FR) / europe-west9
      0.73372 USD/h 1.83438 USD/h
      Dallas (US) / us-south1
      0.74637 USD/h 1.866 USD/h
      Frankfurt (DE) / europe-west3
      0.7466 USD/h 1.866 USD/h
      Salt Lake City (US) / us-west3
      0.6462 USD/h 1.90095 USD/h
      Los Angeles (US) / us-west2
      0.69732 USD/h 1.90095 USD/h
      Jurong West (SG) / asia-southeast1
      0.78034 USD/h 1.95092 USD/h
      Seoul (KR) / asia-northeast3
      0.4988 USD/h 2.03078 USD/h
      Tokyo (JP) / asia-northeast1
      0.79668 USD/h 2.03078 USD/h

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Alternatives

      Servers of the Same Family

      INSTANCEvCPUsMEMORYGPUs
      c4-highcpu-2 2 4 GiB 0
      c4-standard-2 2 7 GiB 0
      c4-highmem-2 2 15 GiB 0
      c4-highcpu-4 4 8 GiB 0
      c4-standard-4 4 15 GiB 0
      c4-standard-4-lssd 4 15 GiB 0
      c4-highmem-4 4 31 GiB 0

      Similar Servers

      INSTANCEVENDORvCPUsMEMORYGPUs

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