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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 0.2177 USD per hour.
8 vCPU
16 GiB Memory
Spare SCore
8881
(All-cores)
2169
(Single-core)

Specifications

Server Metadata

Vendor ID
gcp
Server ID
999935502
Name
c4n-highcpu-8
Description
8 vCPUs, 16 GB RAM
Family
c4n
Hw Virt
Average Time To Start
21
Status
active
Observed At
2026-08-16T10:36:03.778696

Availability

REGION / IDSPOTONDEMAND
Council Bluffs (US) / us-central1
0.2177 USD/h 0.5443 USD/h
The Dalles (US) / us-west1
0.2177 USD/h 0.5443 USD/h
Moncks Corner (US) / us-east1
0.2177 USD/h 0.5443 USD/h
Columbus (US) / us-east5
0.2177 USD/h 0.5443 USD/h
London (GB) / europe-west2
0.2482 USD/h 0.6205 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
102.5

System Resources and Accelerators

MEMORY
Memory Amount
16 GiB
Memory Amount Actual
16 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 instance featuring dedicated Intel Xeon cores, high-speed single-threaded decompression, and hardware-accelerated matrix operations for efficient batch processing.

      Compute OptimizedGeneral Purpose

      Google Cloud Platform c4n-highcpu-8 is a compute-optimized instance featuring 8 vCPUs and 16 GB of RAM, powered by an Intel Xeon 8581C x86_64 processor. It provides 4 physical cores with hyper-threading, a 2.3 GHz clock speed, and a 260 MB L3 cache. Lacking local storage and GPUs, the instance relies on network-attached resources. Benchmarks reveal top-tier single-threaded bzip3 decompression at 15.23 GB/sec and strong single-threaded gzip compression at 34.94 GB/sec. It also handles small-model LLM text generation efficiently at 348.78 tokens/sec, though larger models show a performance drop. The 1:2 vCPU-to-RAM ratio delivers qualitative cost efficiency for compute-intensive tasks. This instance is suited for web serving, data compression, and lightweight inference workloads.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.915Score
      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 1,910,660 ops/sec 0.866 50.00% 50.00% -6.94%
      Redis RPS (pipeline=16, SET) 8,484,961 ops/sec 11,608,287 ops/sec 0.731 20.00% 20.00% -6.07%
      PassMark Memory Mark (composite) 1,974 2,416 0.817 10.00% 10.00% -2.00%
      Memory bandwidth (read, 16 MB ~ L3) 151,764 MB/sec 107,896 MB/sec 1.41 10.00% 10.00% +3.50%
      PassMark single-thread CPU 3,241 Mops/s 2,364 Mops/s 1.37 10.00% 10.00% +3.20%

      Memory Bandwidth

      Compression

      OpenSSL

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      15831
      Compression
      158268
      Encryption
      9392
      Extended Instructions
      12094
      Floating Point Maths
      30090
      Integer Maths
      42459
      Physics
      2112
      Prime Numbers
      89
      Single Threaded
      3241
      String Sorting
      21409

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      1974
      Database Operations
      4988
      Memory Latency
      59
      Memory Read Cached
      28073
      Memory Read Uncached
      7749
      Memory Write
      7357

      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

      INSTANCEvCPUsMEMORYGPUs
      c4n-highcpu-2 24 GiB0
      c4n-standard-2 27 GiB0
      c4n-highmem-2 215 GiB0
      c4n-highcpu-4 48 GiB0
      c4n-standard-4 415 GiB0
      c4n-highmem-4 431 GiB0
      c4n-standard-8 830 GiB0

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      c4n-highcpu-8 FAQs