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 0.2069 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
c4n
Hw Virt
Average Time To Start
21
Status
active
Observed At
2026-09-30T16:26:45.180377Z

Availability

REGION / IDSPOTONDEMAND
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
Columbus (US) / us-east5
0.2069 USD/h 0.5443 USD/h
Moncks Corner (US) / us-east1
0.2395 USD/h 0.5443 USD/h
London (GB) / europe-west2
0.2358 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
51.25

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

      Compute OptimizedGeneral Purpose

      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

      0.912Score
      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 1,916,704 ops/sec 0.864 50.00% 50.00% -7.05%
      Redis RPS (pipeline=16, SET) 8,484,961 ops/sec 11,642,227 ops/sec 0.729 20.00% 20.00% -6.13%
      PassMark Memory Mark (composite) 1,974 2,418 0.816 10.00% 10.00% -2.01%
      Memory bandwidth (read, 16 MB ~ L3) 151,764 MB/sec 108,322 MB/sec 1.4 10.00% 10.00% +3.42%
      PassMark single-thread CPU 3,241 Mops/s 2,365 Mops/s 1.37 10.00% 10.00% +3.20%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 2,250

      Geekbench Multi-Core

      Score: 8,467

      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-standard-4-lssd 415 GiB0
      c4n-highmem-4 431 GiB0

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      c4n-highcpu-8 FAQs