e2-highmem-16 by Google Cloud Platform

e2-highmem-16 is a Efficient Instance, 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 0.1072 USD per hour.
16 vCPU
128 GiB Memory
Spare SCore
21,541
(All-cores)
2,683
(Single-core)

Specifications

Server Metadata

Vendor ID
gcp
Server ID
336016
Name
e2-highmem-16
Description
Efficient Instance, 16 vCPUs, 128 GB RAM
Family
e2
Hw Virt
Average Time To Start
20
Status
active
Observed At
2026-10-20T00:20:49.676558

Availability

REGION / IDSPOTONDEMAND
Columbus (US) / us-east5
0.3837 USD/h 0.7232 USD/h
Council Bluffs (US) / us-central1
0.434 USD/h 0.7232 USD/h
The Dalles (US) / us-west1
0.434 USD/h 0.7232 USD/h
Moncks Corner (US) / us-east1
0.434 USD/h 0.7232 USD/h
Stockholm (SE) / europe-north2
0.2032 USD/h 0.7594 USD/h
Queretaro (MX) / northamerica-south1
0.2841 USD/h 0.7883 USD/h
Tel Aviv (IL) / me-west1
0.428 USD/h 0.7955 USD/h
Johannesburg (ZA) / africa-south1
0.2813 USD/h 0.7956 USD/h
St. Ghislain (BE) / europe-west1
0.4081 USD/h 0.7956 USD/h
Toronto (CA) / northamerica-northeast2
0.1737 USD/h 0.7961 USD/h
Montréal (CA) / northamerica-northeast1
0.2581 USD/h 0.7961 USD/h
Eemshaven (NL) / europe-west4
0.4777 USD/h 0.7961 USD/h
Hamina (FI) / europe-north1
0.2186 USD/h 0.7962 USD/h
Las Vegas (US) / us-west4
0.1072 USD/h 0.8145 USD/h
Ashburn (US) / us-east4
0.4862 USD/h 0.8145 USD/h
Changhua County (TW) / asia-east1
0.3895 USD/h 0.8374 USD/h
Milan (IT) / europe-west8
0.4147 USD/h 0.8389 USD/h
Paris (FR) / europe-west9
0.4509 USD/h 0.8389 USD/h
Dallas (US) / us-south1
0.2707 USD/h 0.8534 USD/h
Madrid (ES) / europe-southwest1
0.3951 USD/h 0.8534 USD/h
Salt Lake City (US) / us-west3
0.2618 USD/h 0.8686 USD/h
Los Angeles (US) / us-west2
0.2761 USD/h 0.8686 USD/h
Delhi (IN) / asia-south2
0.4483 USD/h 0.8686 USD/h
Mumbai (IN) / asia-south1
0.5211 USD/h 0.8686 USD/h
Melbourne (AU) / australia-southeast2
0.4749 USD/h 0.8721 USD/h
Warsaw (PL) / europe-central2
0.4054 USD/h 0.8751 USD/h
Doha (QA) / me-central1
0.4141 USD/h 0.8787 USD/h
Jurong West (SG) / asia-southeast1
0.5354 USD/h 0.8921 USD/h
Osaka (JP) / asia-northeast2
0.2918 USD/h 0.927 USD/h
Seoul (KR) / asia-northeast3
0.4621 USD/h 0.927 USD/h
Tokyo (JP) / asia-northeast1
0.5562 USD/h 0.927 USD/h
Berlin (DE) / europe-west10
0.1699 USD/h 0.9317 USD/h
London (GB) / europe-west2
0.3532 USD/h 0.9317 USD/h
Frankfurt (DE) / europe-west3
0.559 USD/h 0.9317 USD/h
Turin (IT) / europe-west12
0.218 USD/h 0.9329 USD/h
Zurich (CH) / europe-west6
0.445 USD/h 0.9474 USD/h
Jakarta (ID) / asia-southeast2
0.2331 USD/h 0.9724 USD/h
Hong Kong / asia-east2
0.29 USD/h 1.0119 USD/h
Sydney (AU) / australia-southeast1
0.5455 USD/h 1.0261 USD/h
Santiago (CL) / southamerica-west1
0.5229 USD/h 1.0342 USD/h
Osasco (BR) / southamerica-east1
0.2277 USD/h 1.1479 USD/h
Dammam (SA) / me-central2
0.6942 USD/h 1.1571 USD/h

Processor

vCPUs
16
CPU Allocation
Dedicated
CPU Cores
8
CPU Architecture
x86_64
CPU Manufacturer
AMD
CPU Family
EPYC
CPU Model
7B12
CPU L1D Cache
32 KiB
CPU L1D Cache Total
256 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
256 KiB
CPU L2 Cache
512 KiB
CPU L2 Cache Total
4 MiB
CPU L3 Cache
16 MiB
CPU L3 Cache Total
32 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, nonstop_tsc, cpuid, extd_apicid, tsc_known_freq, pni, pclmulqdq, ssse3, fma, cx16, 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, vmmcall, fsgsbase, tsc_adjust, bmi1, avx2, smep, bmi2, rdseed, adx, smap, clflushopt, clwb, sha_ni, xsaveopt, xsavec, xgetbv1, clzero, xsaveerptr, arat, npt, nrip_save, umip, rdpid
Ecpus
8
Scalability
50

System Resources and Accelerators

MEMORY
Memory Amount
128 GiB
Memory Amount Actual
128 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

      An x86_64 virtual machine featuring a high memory-to-CPU ratio and strong single-core performance for memory-intensive workloads.

      Memory Optimized

      Google Cloud Platform e2-highmem-16 is an x86_64 architecture virtual machine featuring 16 vCPUs and 128 GB of RAM, providing a memory-to-vCPU ratio of 8 GB per core. Powered by an AMD EPYC 7B12 processor with 8 physical cores and dedicated CPU allocation, this instance lacks bundled local storage and GPU accelerators. Performance benchmarks show strong single-core CPU capabilities, placing in the top 25% of tested systems, while multi-core CPU performance, memory bandwidth, and database operations consistently rank in the average tier. The instance is suited for memory-intensive workloads such as Redis caching, software compilation, and moderate database operations that benefit from a high memory footprint but do not require local NVMe storage or specialized hardware accelerators.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.76Score
      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) 1,196,770 ops/sec 1,917,050 ops/sec 0.63 50.00% 50.00% -21.00%
      Redis RPS (pipeline=16, SET) 8,919,467 ops/sec 11,661,818 ops/sec 0.74 20.00% 20.00% -5.80%
      PassMark Memory Mark (composite) 2,376 2,417 1 10.00% 10.00% 0.00%
      Memory bandwidth (read, 16 MB ~ L3) 134,142 MB/sec 108,361 MB/sec 1.2 10.00% 10.00% +1.80%
      PassMark single-thread CPU 2,359 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,451

      Geekbench Multi-Core

      Score: 9,162

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 21,962
      Compression
      		 254,558
      Encryption
      		 17,113
      Extended Instructions
      		 14,585
      Floating Point Maths
      		 36,508
      Integer Maths
      		 65,922
      Physics
      		 2,658
      Prime Numbers
      		 137
      Single Threaded
      		 2,359
      String Sorting
      		 35,418

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,376
      Database Operations
      		 6,609
      Memory Latency
      		 79
      Memory Read Cached
      		 23,996
      Memory Read Uncached
      		 15,025
      Memory Write
      		 15,394

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 474.61 228.75 0.48×
      bitops
      		 139,830 1,255,292 8.98×
      branch
      		 161,423 2,298,433 14.24×
      funccall
      		 530.18 5,487 10.35×
      funcret
      		 16,277 162,685 9.99×
      hash
      		 130,907 1,519,439 11.61×
      intmath
      		 56,949 599,791 10.53×
      nop
      		 278,648 2,251,282 8.08×
      prime
      		 386,345 3,700,025 9.58×
      rotate
      		 75,959 610,110 8.03×
      str
      		 848,973 8,091,807 9.53×
      wcs
      		 550,620 4,775,385 8.67×
      CryptographySingleMultiScaling
      crypt
      		 3,146 24,564 7.81×
      CompressionSingleMultiScaling
      jpeg
      		 716.5 7,211 10.06×
      zlib
      		 67.29 715.6 10.63×
      HypervisorSingleMultiScaling
      clock
      		 18,837 141,415 7.51×
      clone
      		 132.18 1,357 10.27×
      context
      		 3,434 43,632 12.71×
      cpu-sched
      		 72.85 1,022 14.03×
      eventfd
      		 30,603 584,329 19.09×
      fault
      		 7,418 79,727 10.75×
      fork
      		 1,986 23,458 11.81×
      getrandom
      		 43,133 438,014 10.15×
      hrtimers
      		 441,643 1,041,525 2.36×
      mprotect
      		 535,852 2,529,981 4.72×
      mtx
      		 36,517,037 824,372,843 22.58×
      munmap
      		 1,443 18,245 12.65×
      null
      		 445,457 5,655,917 12.70×
      pipe
      		 671,996 5,721,452 8.51×
      priv-instr
      		 378,044 4,544,250 12.02×
      resched
      		 3,207,573 557,984 0.17×
      switch
      		 62,400 2,168,931 34.76×
      timermix
      		 142,222 1,579,860 11.11×
      tlb-shootdown
      		 9,420 34,256 3.64×
      tsc
      		 658,725 10,027,465 15.22×
      usersyscall
      		 297,000 3,684,853 12.41×
      vdso
      		 77,793,439 1,004,970,544 12.92×
      vfork
      		 12,663 88,316 6.97×
      x86syscall
      		 5,669,680 71,290,464 12.57×
      yield
      		 8,544,208 8,800,027 1.03×
      zero
      		 2,529,371 29,265,535 11.57×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 13,229 117,164 8.86×
      expmath
      		 2,389 30,592 12.80×
      fma
      		 766,400 9,385,943 12.25×
      fp
      		 223.2 2,601 11.65×
      fractal
      		 6.6 87.21 13.21×
      hyperbolic
      		 3,233 39,180 12.12×
      logmath
      		 3,800 41,644 10.96×
      matrix
      		 2,634 30,722 11.66×
      matrix-3d
      		 200.35 2,345 11.71×
      monte-carlo
      		 203.93 2,559 12.55×
      mpfr
      		 1,358 13,248 9.76×
      powmath
      		 1,199 15,629 13.03×
      trig
      		 1,476 17,909 12.14×
      veccmp
      		 15,695 163,414 10.41×
      vecfp
      		 1,449 16,599 11.46×
      vecmath
      		 3,332 39,754 11.93×
      vecshuf
      		 516.76 4,647 8.99×
      vecwide
      		 23,209 218,152 9.40×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 8.4 70.4 8.38×
      bsearch
      		 253.2 2,433 9.61×
      bubblesort
      		 0.8 6.4 8.00×
      fibsearch
      		 310.84 2,879 9.26×
      heapsort
      		 8.6 77.8 9.05×
      hsearch
      		 7,419 68,539 9.24×
      insertionsort
      		 11 67.4 6.13×
      malloc
      		 1,519,641 18,289,773 12.04×
      mcontend
      		 98.32 2,176 22.13×
      mergesort
      		 26.2 302.59 11.55×
      qsort
      		 18.2 205.59 11.30×
      skiplist
      		 5,979 72,955 12.20×
      tree
      		 0.8 9.6 12.00×
      MemorySingleMultiScaling
      cache
      		 393,820 664,464 1.69×
      cachehammer
      		 201,098 2,841,276 14.13×
      cacheline
      		 35.94 649.81 18.08×
      l1cache
      		 141.26 1,218 8.62×
      memcpy
      		 344.54 2,571 7.46×
      memrate
      		 1.95 6.78 3.48×
      memthrash
      		 81.48 471.45 5.79×
      ptr-chase
      		 7,528,320 105,951,447 14.07×
      spinmem
      		 230.99 789.04 3.42×
      stream
      		 140.28 7,809 55.67×
      vm
      		 58,688 292,647 4.99×

      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
      e2-micro 21 GiB0
      e2-small 22 GiB0
      e2-highcpu-2 22 GiB0
      e2-medium 24 GiB0
      e2-standard-2 28 GiB0
      e2-highmem-2 216 GiB0
      e2-highcpu-4 44 GiB0

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      e2-highmem-16 FAQs