c4-highmem-24 by Google Cloud Platform

c4-highmem-24 is a 24 vCPUs, 186 GB RAM server offered by Google Cloud Platform with 24 vCPUs, 186 GiB of memory and 0 GB of storage. The pricing starts at 0.2294 USD per hour.
24 vCPU
186 GiB Memory
Spare SCore
21,407
(All-cores)
1,785
(Single-core)

Specifications

Server Metadata

Vendor ID
gcp
Server ID
999912024
Name
c4-highmem-24
Description
24 vCPUs, 186 GB RAM
Family
c4
Hw Virt
Average Time To Start
32
Status
active
Observed At
2026-07-08T20:26:49.013227

Availability

REGION / IDSPOTONDEMAND
Columbus (US) / us-east5
0.8897 USD/h 1.5641 USD/h
Ashburn (US) / us-east4
0.9338 USD/h 1.5641 USD/h
Council Bluffs (US) / us-central1
0.9362 USD/h 1.5641 USD/h
The Dalles (US) / us-west1
0.9362 USD/h 1.5641 USD/h
Moncks Corner (US) / us-east1
0.9362 USD/h 1.5641 USD/h
Mumbai (IN) / asia-south1
0.5368 USD/h 1.6266 USD/h
Delhi (IN) / asia-south2
0.6763 USD/h 1.6267 USD/h
Bangkok (TH) / asia-southeast3
0.45 USD/h 1.6422 USD/h
Stockholm (SE) / europe-north2
0.5584 USD/h 1.6423 USD/h
Eemshaven (NL) / europe-west4
0.7168 USD/h 1.6423 USD/h
Queretaro (MX) / northamerica-south1
0.5552 USD/h 1.7048 USD/h
Tel Aviv (IL) / me-west1
0.2601 USD/h 1.7205 USD/h
Montréal (CA) / northamerica-northeast1
0.2294 USD/h 1.7222 USD/h
Hamina (FI) / europe-north1
0.4585 USD/h 1.7222 USD/h
Johannesburg (ZA) / africa-south1
0.5512 USD/h 1.7222 USD/h
St. Ghislain (BE) / europe-west1
0.6201 USD/h 1.7222 USD/h
Toronto (CA) / northamerica-northeast2
0.637 USD/h 1.7222 USD/h
Las Vegas (US) / us-west4
0.599 USD/h 1.7616 USD/h
London (GB) / europe-west2
0.7872 USD/h 1.783 USD/h
Changhua County (TW) / asia-east1
1.0255 USD/h 1.811 USD/h
Paris (FR) / europe-west9
0.2677 USD/h 1.8143 USD/h
Milan (IT) / europe-west8
0.5261 USD/h 1.8143 USD/h
Berlin (DE) / europe-west10
0.8694 USD/h 1.8455 USD/h
Dallas (US) / us-south1
0.5216 USD/h 1.8456 USD/h
Madrid (ES) / europe-southwest1
0.5945 USD/h 1.8456 USD/h
Frankfurt (DE) / europe-west3
0.8369 USD/h 1.8456 USD/h
Los Angeles (US) / us-west2
0.4693 USD/h 1.8802 USD/h
Salt Lake City (US) / us-west3
0.5878 USD/h 1.8802 USD/h
Warsaw (PL) / europe-central2
0.4542 USD/h 1.8924 USD/h
Doha (QA) / me-central1
0.5132 USD/h 1.9003 USD/h
Jurong West (SG) / asia-southeast1
0.931 USD/h 1.9296 USD/h
Sydney (AU) / australia-southeast1
0.6256 USD/h 1.9551 USD/h
Seoul (KR) / asia-northeast3
0.8614 USD/h 2.0086 USD/h
Osaka (JP) / asia-northeast2
0.9666 USD/h 2.0086 USD/h
Tokyo (JP) / asia-northeast1
1.1447 USD/h 2.0086 USD/h
Turin (IT) / europe-west12
0.3788 USD/h 2.0176 USD/h
Melbourne (AU) / australia-southeast2
0.8107 USD/h 2.0333 USD/h
Zurich (CH) / europe-west6
1.162 USD/h 2.049 USD/h
Jakarta (ID) / asia-southeast2
0.4365 USD/h 2.1032 USD/h
Hong Kong / asia-east2
0.967 USD/h 2.188 USD/h
Santiago (CL) / southamerica-west1
0.738 USD/h 2.2366 USD/h
Osasco (BR) / southamerica-east1
0.7566 USD/h 2.4836 USD/h
Dammam (SA) / me-central2
0.2426 USD/h 2.5025 USD/h

Processor

vCPUs
24
CPU Allocation
Dedicated
CPU Cores
12
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
576 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
384 KiB
CPU L2 Cache
2 MiB
CPU L2 Cache Total
24 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, monitor, vmx, 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, tpr_shadow, flexpriority, ept, vpid, ept_ad, 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, vnmi, 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
12
Scalability
100

System Resources and Accelerators

MEMORY
Memory Amount
186 GiB
Memory Amount Actual
186 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 memory-optimized virtual machine featuring advanced Intel AMX instructions for accelerated data processing and in-memory database workloads.

      Memory OptimizedGeneral Purpose

      Google Cloud Platform c4-highmem-24 is an x86_64 memory-optimized instance featuring 24 dedicated vCPUs and 186 GB of RAM, powered by an Intel Xeon 8581C processor running at 2.3 GHz. With 12 physical cores, hyper-threading, and a 260 MB L3 cache, the instance supports advanced instruction sets like Intel AMX and AVX-512. It does not include local storage or bundled GPUs. Benchmarks indicate strong text processing capabilities, scoring in the top 25% on Geekbench, and highly efficient small-model LLM text generation at 394.04 tokens per second. The instance delivers a balanced memory-to-vCPU ratio of 7.75 GB per core, making it a cost-effective choice for memory-intensive workloads. It is configured for in-memory databases, Redis caching layers, software compilation, and enterprise application hosting where dedicated compute resources and high memory density are required.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.51Score
      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) 4,256,032 ops/sec 2,367,640 ops/sec 1.8 50.00% 50.00% +34.20%
      Redis RPS (pipeline=16, SET) 20,689,516 ops/sec 15,440,866 ops/sec 1.34 20.00% 20.00% +6.03%
      PassMark Memory Mark (composite) 2,177 2,418 0.901 10.00% 10.00% -1.04%
      Memory bandwidth (read, 16 MB ~ L3) 187,573 MB/sec 108,322 MB/sec 1.73 10.00% 10.00% +5.63%
      PassMark single-thread CPU 2,847 Mops/s 2,365 Mops/s 1.2 10.00% 10.00% +1.84%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,913

      Geekbench Multi-Core

      Score: 13,540

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 33660
      Compression
      		 369908
      Encryption
      		 22581
      Extended Instructions
      		 28765
      Floating Point Maths
      		 70770
      Integer Maths
      		 99808
      Physics
      		 5040
      Prime Numbers
      		 220
      Single Threaded
      		 2847
      String Sorting
      		 50821

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2177
      Database Operations
      		 12079
      Memory Latency
      		 65
      Memory Read Cached
      		 25496
      Memory Read Uncached
      		 7565
      Memory Write
      		 7149

      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
      c4-highcpu-2 24 GiB0
      c4-standard-2 27 GiB0
      c4-highmem-2 215 GiB0
      c4-highcpu-4 48 GiB0
      c4-standard-4 415 GiB0
      c4-standard-4-lssd 415 GiB0
      c4-highmem-4 431 GiB0

      Similar Servers

      INSTANCEVENDORvCPUsMEMORYGPUs

      c4-highmem-24 FAQs