n4-highcpu-32 by Google Cloud Platform

n4-highcpu-32 is a 32 vCPUs, 64 GB RAM server offered by Google Cloud Platform with 32 vCPUs, 64 GiB of memory and 0 GB of storage. The pricing starts at 0.1546 USD per hour.
32 vCPU
64 GiB Memory
Spare SCore
25,687
(All-cores)
1,565
(Single-core)

Specifications

Server Metadata

Vendor ID
gcp
Server ID
1750021
Name
n4-highcpu-32
Description
32 vCPUs, 64 GB RAM
Family
n4
Hw Virt
Average Time To Start
17
Status
active
Observed At
2026-10-19T17:30:25.518980

Availability

REGION / IDSPOTONDEMAND
Columbus (US) / us-east5
0.4116 USD/h 1.2246 USD/h
Ashburn (US) / us-east4
0.6545 USD/h 1.2246 USD/h
Council Bluffs (US) / us-central1
0.6899 USD/h 1.2246 USD/h
The Dalles (US) / us-west1
0.6899 USD/h 1.2246 USD/h
Moncks Corner (US) / us-east1
0.6899 USD/h 1.2246 USD/h
Mumbai (IN) / asia-south1
0.2772 USD/h 1.2736 USD/h
Delhi (IN) / asia-south2
0.3903 USD/h 1.2736 USD/h
Bangkok (TH) / asia-southeast3
0.2442 USD/h 1.2859 USD/h
Eemshaven (NL) / europe-west4
0.2976 USD/h 1.2859 USD/h
Stockholm (SE) / europe-north2
0.5073 USD/h 1.2859 USD/h
Queretaro (MX) / northamerica-south1
0.3969 USD/h 1.3349 USD/h
Tel Aviv (IL) / me-west1
0.3914 USD/h 1.3471 USD/h
St. Ghislain (BE) / europe-west1
0.1767 USD/h 1.3485 USD/h
Montréal (CA) / northamerica-northeast1
0.241 USD/h 1.3485 USD/h
Johannesburg (ZA) / africa-south1
0.3235 USD/h 1.3485 USD/h
Toronto (CA) / northamerica-northeast2
0.498 USD/h 1.3485 USD/h
Hamina (FI) / europe-north1
0.5887 USD/h 1.3485 USD/h
Las Vegas (US) / us-west4
0.6378 USD/h 1.3793 USD/h
London (GB) / europe-west2
0.5364 USD/h 1.3961 USD/h
Changhua County (TW) / asia-east1
0.5391 USD/h 1.418 USD/h
Milan (IT) / europe-west8
0.2515 USD/h 1.4206 USD/h
Paris (FR) / europe-west9
0.5093 USD/h 1.4206 USD/h
Madrid (ES) / europe-southwest1
0.2661 USD/h 1.4451 USD/h
Dallas (US) / us-south1
0.2815 USD/h 1.4451 USD/h
Frankfurt (DE) / europe-west3
0.8607 USD/h 1.4451 USD/h
Salt Lake City (US) / us-west3
0.3139 USD/h 1.4721 USD/h
Los Angeles (US) / us-west2
0.8363 USD/h 1.4721 USD/h
Warsaw (PL) / europe-central2
0.6223 USD/h 1.4818 USD/h
Doha (QA) / me-central1
0.6844 USD/h 1.4879 USD/h
Jurong West (SG) / asia-southeast1
0.9059 USD/h 1.5108 USD/h
Sydney (AU) / australia-southeast1
0.7413 USD/h 1.5308 USD/h
Osaka (JP) / asia-northeast2
0.5709 USD/h 1.5727 USD/h
Seoul (KR) / asia-northeast3
0.8232 USD/h 1.5727 USD/h
Tokyo (JP) / asia-northeast1
0.8964 USD/h 1.5727 USD/h
Melbourne (AU) / australia-southeast2
0.5085 USD/h 1.592 USD/h
Zurich (CH) / europe-west6
0.8173 USD/h 1.6043 USD/h
Jakarta (ID) / asia-southeast2
0.4774 USD/h 1.6468 USD/h
Hong Kong / asia-east2
0.1546 USD/h 1.7131 USD/h
Santiago (CL) / southamerica-west1
0.3596 USD/h 1.7512 USD/h
Osasco (BR) / southamerica-east1
0.2843 USD/h 1.9446 USD/h
Dammam (SA) / me-central2
0.356 USD/h 1.9594 USD/h

Processor

vCPUs
32
CPU Allocation
Dedicated
CPU Cores
16
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU L1D Cache
48 KiB
CPU L1D Cache Total
768 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
512 KiB
CPU L2 Cache
2 MiB
CPU L2 Cache Total
32 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, smx, est, ssse3, sdbg, fma, cx16, xtpr, pdcm, pcid, dca, sse4_1, sse4_2, x2apic, movbe, popcnt, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, abm, 3dnowprefetch, cat_l3, cat_l2, cdp_l3, cdp_l2, ssbd, mba, 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, cqm_llc, cqm_occup_llc, cqm_mbm_total, cqm_mbm_local, 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
16.4
Scalability
51.25

System Resources and Accelerators

MEMORY
Memory Amount
64 GiB
Memory Amount Actual
64 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

      A compute-optimized x86_64 virtual server featuring thirty-two vCPUs, sixty-four gigabytes of RAM, and advanced Intel matrix acceleration.

      Compute OptimizedGeneral Purpose

      Google Cloud Platform n4-highcpu-32 is an x86_64 compute-optimized server instance featuring 32 vCPUs and 64 GB of dedicated RAM. Powered by an Intel processor with 16 physical cores and hyperthreading, this instance lacks local storage and GPU accelerators. Benchmark results show strong performance in uncached large-block memory bandwidth, multi-core processing, and CPU physics simulations, while single-core tasks and database operations remain in the average range. The CPU supports advanced instruction sets like AVX-512 and Intel AMX, enhancing vector and matrix math capabilities. This hardware profile makes the instance highly suitable for compute-intensive workloads such as image processing, multi-threaded software compilation, static web serving, and lightweight machine learning inference, offering a balanced resource density for applications requiring high processing power relative to memory capacity.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      2.2Score
      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) 5,123,639 ops/sec 1,917,050 ops/sec 2.7 50.00% 50.00% +64.00%
      Redis RPS (pipeline=16, SET) 26,743,410 ops/sec 11,661,818 ops/sec 2.2 20.00% 20.00% +17.00%
      PassMark Memory Mark (composite) 2,571 2,417 1.1 10.00% 10.00% +0.96%
      Memory bandwidth (read, 16 MB ~ L3) 336,937 MB/sec 108,361 MB/sec 3.1 10.00% 10.00% +12.00%
      PassMark single-thread CPU 2,710 Mops/s 2,365 Mops/s 1.1 10.00% 10.00% +0.96%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,900

      Geekbench Multi-Core

      Score: 16,160

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 43,430
      Compression
      		 520,004
      Encryption
      		 30,772
      Extended Instructions
      		 39,419
      Floating Point Maths
      		 98,654
      Integer Maths
      		 139,652
      Physics
      		 6,692
      Prime Numbers
      		 290
      Single Threaded
      		 2,710
      String Sorting
      		 71,149

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,571
      Database Operations
      		 17,668
      Memory Latency
      		 56
      Memory Read Cached
      		 23,915
      Memory Read Uncached
      		 10,234
      Memory Write
      		 9,882

      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
      n4-highcpu-2 24 GiB0
      n4-standard-2 28 GiB0
      n4-highmem-2 216 GiB0
      n4-highcpu-4 48 GiB0
      n4-standard-4 416 GiB0
      n4-highmem-4 432 GiB0
      n4-highcpu-8 816 GiB0

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      n4-highcpu-32 FAQs