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n4-highmem-16 by Google Cloud Platform

n4-highmem-16 is a 16 vCPUs, 128 GB RAM server offered by Google Cloud Platform with 16 vCPUs, 128 GiB of memory and 0 GB of storage. The pricing starts at 0.1471 USD per hour.
16 vCPU
128 GiB Memory
Spare SCore
12846
(All-cores)
1564
(Single-core)

Specifications

Server Metadata

Vendor ID
gcp
Server ID
1750012
Name
n4-highmem-16
Description
16 vCPUs, 128 GB RAM
Family
n4
Hw Virt
Average Time To Start
18
Status
active
Observed At
2026-07-19T09:30:08.820917

Availability

REGION / IDSPOTONDEMAND
Columbus (US) / us-east5
0.2812 USD/h 0.9522 USD/h
Ashburn (US) / us-east4
0.4021 USD/h 0.9522 USD/h
Council Bluffs (US) / us-central1
0.4478 USD/h 0.9522 USD/h
The Dalles (US) / us-west1
0.4478 USD/h 0.9522 USD/h
Moncks Corner (US) / us-east1
0.4478 USD/h 0.9522 USD/h
Delhi (IN) / asia-south2
0.2103 USD/h 0.9902 USD/h
Mumbai (IN) / asia-south1
0.3798 USD/h 0.9902 USD/h
Eemshaven (NL) / europe-west4
0.2361 USD/h 0.9998 USD/h
Bangkok (TH) / asia-southeast3
0.3343 USD/h 0.9998 USD/h
Stockholm (SE) / europe-north2
0.3773 USD/h 0.9998 USD/h
Queretaro (MX) / northamerica-south1
0.5708 USD/h 1.0379 USD/h
Tel Aviv (IL) / me-west1
0.3124 USD/h 1.0474 USD/h
St. Ghislain (BE) / europe-west1
0.1471 USD/h 1.0484 USD/h
Montréal (CA) / northamerica-northeast1
0.2987 USD/h 1.0484 USD/h
Johannesburg (ZA) / africa-south1
0.3038 USD/h 1.0484 USD/h
Toronto (CA) / northamerica-northeast2
0.3413 USD/h 1.0484 USD/h
Hamina (FI) / europe-north1
0.4383 USD/h 1.0484 USD/h
Las Vegas (US) / us-west4
0.5592 USD/h 1.0724 USD/h
London (GB) / europe-west2
0.3652 USD/h 1.0855 USD/h
Changhua County (TW) / asia-east1
0.6076 USD/h 1.1025 USD/h
Milan (IT) / europe-west8
0.2577 USD/h 1.1045 USD/h
Paris (FR) / europe-west9
0.3492 USD/h 1.1045 USD/h
Dallas (US) / us-south1
0.2344 USD/h 1.1235 USD/h
Madrid (ES) / europe-southwest1
0.3007 USD/h 1.1235 USD/h
Frankfurt (DE) / europe-west3
0.492 USD/h 1.1235 USD/h
Salt Lake City (US) / us-west3
0.2168 USD/h 1.1446 USD/h
Los Angeles (US) / us-west2
0.566 USD/h 1.1446 USD/h
Warsaw (PL) / europe-central2
0.5361 USD/h 1.1521 USD/h
Doha (QA) / me-central1
0.4827 USD/h 1.1569 USD/h
Jurong West (SG) / asia-southeast1
0.4854 USD/h 1.1747 USD/h
Sydney (AU) / australia-southeast1
0.5228 USD/h 1.1902 USD/h
Osaka (JP) / asia-northeast2
0.3706 USD/h 1.2228 USD/h
Seoul (KR) / asia-northeast3
0.5905 USD/h 1.2228 USD/h
Tokyo (JP) / asia-northeast1
0.6097 USD/h 1.2228 USD/h
Melbourne (AU) / australia-southeast2
0.3822 USD/h 1.2378 USD/h
Zurich (CH) / europe-west6
0.5598 USD/h 1.2473 USD/h
Jakarta (ID) / asia-southeast2
0.526 USD/h 1.2804 USD/h
Hong Kong / asia-east2
0.2124 USD/h 1.332 USD/h
Santiago (CL) / southamerica-west1
0.4065 USD/h 1.3616 USD/h
Osasco (BR) / southamerica-east1
0.3187 USD/h 1.5119 USD/h
Dammam (SA) / me-central2
0.2826 USD/h 1.5235 USD/h

Processor

vCPUs
16
CPU Allocation
Dedicated
CPU Cores
8
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU L1D Cache
48 KiB
CPU L1D Cache Total
384 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
256 KiB
CPU L2 Cache
2 MiB
CPU L2 Cache Total
16 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
8.2
Scalability
102.5

System Resources and Accelerators

MEMORY
Memory Amount
128 GiB
Memory Amount Actual
128 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 memory-optimized x86_64 instance featuring a high memory-to-vCPU ratio and advanced matrix extensions for memory-intensive workloads.

      Memory OptimizedGeneral Purpose

      Google Cloud Platform n4-highmem-16 is a memory-optimized instance featuring 16 vCPUs and 128 GB of RAM, providing 8.0 GB of memory per core. Powered by an Intel x86_64 processor with 8 physical cores and dedicated CPU allocation, it includes advanced instruction sets like AVX-512 and Intel AMX. Benchmarks show average performance across most compute and memory tests, with strong results in text processing and lightweight LLM text generation. The instance does not include local storage or bundled GPUs, making it a cost-efficient choice for memory-heavy workloads. It is suitable for database operations, in-memory caching, and software compilation.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.16Score
      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) 2,327,094 ops/sec 1,895,838 ops/sec 1.23 50.00% 50.00% +10.90%
      Redis RPS (pipeline=16, SET) 11,371,279 ops/sec 11,497,234 ops/sec 0.989 20.00% 20.00% -0.22%
      PassMark Memory Mark (composite) 1,899 2,410 0.788 10.00% 10.00% -2.35%
      Memory bandwidth (read, 16 MB ~ L3) 225,927 MB/sec 107,331 MB/sec 2.1 10.00% 10.00% +7.70%
      PassMark single-thread CPU 2,374 Mops/s 2,363 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,836

      Geekbench Multi-Core

      Score: 10,971

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      21396
      Compression
      228513
      Encryption
      13590
      Extended Instructions
      17144
      Floating Point Maths
      43530
      Integer Maths
      60895
      Physics
      3008
      Prime Numbers
      127
      Single Threaded
      2374
      String Sorting
      31050

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      1899
      Database Operations
      7314
      Memory Latency
      76
      Memory Read Cached
      21491
      Memory Read Uncached
      7057
      Memory Write
      6646

      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

      INSTANCEvCPUsMEMORYGPUs
      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

      Similar Servers

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      n4-highmem-16 FAQs