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n4d-highcpu-64 by Google Cloud Platform

n4d-highcpu-64 is a 64 vCPUs, 128 GB RAM server offered by Google Cloud Platform with 64 vCPUs, 128 GiB of memory and 0 GB of storage. The pricing starts at 0.7254 USD per hour.
64 vCPU
128 GiB Memory
Spare SCore
109753
(All-cores)
3433
(Single-core)

Specifications

Server Metadata

Vendor ID
gcp
Server ID
1751206
Name
n4d-highcpu-64
Description
64 vCPUs, 128 GB RAM
Family
n4d
Hw Virt
Average Time To Start
18
Status
active
Observed At
2026-08-07T22:59:21.362216

Availability

REGION / IDSPOTONDEMAND
Mumbai (IN) / asia-south1
0.7254 USD/h 1.7385 USD/h
The Dalles (US) / us-west1
0.7863 USD/h 2.2867 USD/h
Moncks Corner (US) / us-east1
0.7863 USD/h 2.2867 USD/h
Columbus (US) / us-east5
1.0062 USD/h 2.2867 USD/h
Ashburn (US) / us-east4
1.0565 USD/h 2.2867 USD/h
Council Bluffs (US) / us-central1
1.1092 USD/h 2.2867 USD/h
Eemshaven (NL) / europe-west4
0.9548 USD/h 2.4017 USD/h
St. Ghislain (BE) / europe-west1
1.1647 USD/h 2.5173 USD/h
Las Vegas (US) / us-west4
1.0811 USD/h 2.5758 USD/h
London (GB) / europe-west2
1.0383 USD/h 2.6064 USD/h
Frankfurt (DE) / europe-west3
1.1863 USD/h 2.6989 USD/h
Salt Lake City (US) / us-west3
1.2037 USD/h 2.749 USD/h
Jurong West (SG) / asia-southeast1
1.3046 USD/h 2.8207 USD/h

Processor

vCPUs
64
CPU Allocation
Dedicated
CPU Cores
32
CPU Architecture
x86_64
CPU Manufacturer
AMD
CPU Family
EPYC
CPU Model
9B45
CPU L1D Cache
48 KiB
CPU L1D Cache Total
2 MiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
1 MiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
32 MiB
CPU L3 Cache
32 MiB
CPU L3 Cache Total
128 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, ht, syscall, nx, mmxext, fxsr_opt, pdpe1gb, rdtscp, lm, constant_tsc, rep_good, nopl, xtopology, nonstop_tsc, cpuid, extd_apicid, tsc_known_freq, pni, pclmulqdq, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, cmp_legacy, cr8_legacy, abm, sse4a, misalignsse, 3dnowprefetch, osvw, topoext, ssbd, ibrs, ibpb, stibp, ibrs_enhanced, vmmcall, fsgsbase, tsc_adjust, bmi1, avx2, smep, bmi2, invpcid, avx512f, avx512dq, rdseed, adx, smap, avx512ifma, clflushopt, clwb, avx512cd, sha_ni, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, avx_vnni, avx512_bf16, clzero, xsaveerptr, wbnoinvd, arat, avx512vbmi, umip, pku, ospke, avx512_vbmi2, gfni, vaes, vpclmulqdq, avx512_vnni, avx512_bitalg, avx512_vpopcntdq, rdpid, movdiri, movdir64b, avx512_vp2intersect, flush_l1d
Ecpus
32
Scalability
100

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 high-density compute instance featuring dedicated AMD EPYC processors, optimized for CPU-intensive workloads, database operations, and lightweight inference.

      Compute OptimizedGeneral Purpose

      Google Cloud Platform n4d-highcpu-64 is a compute-optimized virtual machine instance powered by an AMD EPYC 9B45 processor on the x86_64 architecture. It features 64 dedicated vCPUs across 32 physical cores and 128.0 GB of system memory, establishing a 2.0 GB per vCPU ratio. The instance lacks local storage and GPU accelerators, focusing its resource profile entirely on raw CPU execution. Benchmark results place its single-core performance in the top 10%, with strong multi-core capabilities and high memory bandwidth. It excels in compute-intensive tasks, database operations, and lightweight LLM inference, processing 196.81 tokens per second on 7B models. The primary tradeoff is the low memory-to-core ratio, which optimizes cost efficiency for CPU-bound workloads but limits memory-heavy applications.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      4.56Score
      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) 13,860,857 ops/sec 1,910,660 ops/sec 7.25 50.00% 50.00% +169.00%
      Redis RPS (pipeline=16, SET) 75,710,917 ops/sec 11,608,287 ops/sec 6.52 20.00% 20.00% +45.50%
      PassMark Memory Mark (composite) 2,763 2,416 1.14 10.00% 10.00% +1.32%
      Memory bandwidth (read, 16 MB ~ L3) 291,877 MB/sec 107,896 MB/sec 2.71 10.00% 10.00% +10.50%
      PassMark single-thread CPU 3,461 Mops/s 2,364 Mops/s 1.46 10.00% 10.00% +3.86%

      Memory Bandwidth

      Compression

      OpenSSL

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      91107
      Compression
      1378152
      Encryption
      76085
      Extended Instructions
      112138
      Floating Point Maths
      237070
      Integer Maths
      387343
      Physics
      13939
      Prime Numbers
      697
      Single Threaded
      3461
      String Sorting
      171111

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      2763
      Database Operations
      38355
      Memory Latency
      82
      Memory Read Cached
      31015
      Memory Read Uncached
      28415
      Memory Write
      22438

      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
      n4d-highcpu-2 24 GiB0
      n4d-standard-2 28 GiB0
      n4d-highmem-2 216 GiB0
      n4d-highcpu-4 48 GiB0
      n4d-standard-4 416 GiB0
      n4d-highmem-4 432 GiB0
      n4d-highcpu-8 816 GiB0

      Similar Servers

      INSTANCEVENDORvCPUsMEMORYGPUs

      n4d-highcpu-64 FAQs