g2-standard-8 by Google Cloud Platform

g2-standard-8 is a Graphics Optimized: 1 NVIDIA L4 GPU, 8 vCPUs, 32GB RAM server offered by Google Cloud Platform with 8 vCPUs, 32 GiB of memory and 0 GB of storage. The pricing starts at 0.3695 USD per hour.
8 vCPU
32 GiB Memory
1 GPU
Spare SCore
6,312
(All-cores)
1,201
(Single-core)

Specifications

Server Metadata

Vendor ID
gcp
Server ID
1600008
Name
g2-standard-8
Description
Graphics Optimized: 1 NVIDIA L4 GPU, 8 vCPUs, 32GB RAM
Family
g2
Hw Virt
Average Time To Start
19
Status
active
Observed At
2026-10-16T14:05:04.561612

Availability

REGION / IDSPOTONDEMAND
Ashburn (US) / us-east4
0.4528 USD/h 0.8508 USD/h
Council Bluffs (US) / us-central1
0.5108 USD/h 0.8536 USD/h
The Dalles (US) / us-west1
0.5108 USD/h 0.8536 USD/h
Moncks Corner (US) / us-east1
0.5108 USD/h 0.8536 USD/h
Mumbai (IN) / asia-south1
0.4513 USD/h 0.8886 USD/h
Eemshaven (NL) / europe-west4
0.5383 USD/h 0.8972 USD/h
Montréal (CA) / northamerica-northeast1
0.5597 USD/h 0.9399 USD/h
Toronto (CA) / northamerica-northeast2
0.561 USD/h 0.9399 USD/h
St. Ghislain (BE) / europe-west1
0.564 USD/h 0.9399 USD/h
Las Vegas (US) / us-west4
0.5755 USD/h 0.9614 USD/h
London (GB) / europe-west2
0.5832 USD/h 0.9719 USD/h
Changhua County (TW) / asia-east1
0.5922 USD/h 0.9884 USD/h
Frankfurt (DE) / europe-west3
0.6006 USD/h 1.006 USD/h
Jurong West (SG) / asia-southeast1
0.6319 USD/h 1.0531 USD/h
Seoul (KR) / asia-northeast3
0.3695 USD/h 1.0962 USD/h
Tokyo (JP) / asia-northeast1
0.5878 USD/h 1.0962 USD/h
Zurich (CH) / europe-west6
0.6991 USD/h 1.1681 USD/h
Dammam (SA) / me-central2
0.7687 USD/h 1.3658 USD/h

Processor

vCPUs
8
CPU Allocation
Dedicated
CPU Cores
4
CPU Speed
2.2 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU L1D Cache
32 KiB
CPU L1D Cache Total
128 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
128 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
4 MiB
CPU L3 Cache
39 MiB
CPU L3 Cache Total
39 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, 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, fsgsbase, tsc_adjust, bmi1, hle, avx2, smep, bmi2, erms, invpcid, rtm, mpx, avx512f, avx512dq, rdseed, adx, smap, clflushopt, clwb, avx512cd, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, arat, avx512_vnni, md_clear, arch_capabilities
Ecpus
5.3
Scalability
66.25

System Resources and Accelerators

MEMORY
Memory Amount
32 GiB
Memory Amount Actual
32 GiB
ACCELERATORS
Accelerator Count
1
Accelerator Memory Min
24 GiB
Accelerator Memory Total
24 GiB
Accelerator Type
GPU
Accelerator Manufacturer
NVIDIA
Accelerator Family
Ada Lovelace
Accelerator Model
L4
Accelerators
  • NVIDIA Ada Lovelace NVIDIA L4 (Memory amount: 23034, Firmware version: 590.48.01, BIOS version: 95.04.29.00.07, Clock rate: 2040)
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

    GPU-accelerated instance featuring an NVIDIA L4 accelerator, 8 dedicated vCPUs, and 32 GB RAM optimized for machine learning inference and media processing.

    GPU AcceleratedGeneral Purpose

    Google Cloud Platform g2-standard-8 is a graphics-optimized server instance built for GPU-accelerated tasks. It combines 8 dedicated x86_64 vCPUs (4 physical Intel Xeon cores at 2.2 GHz) and 32 GB of RAM with a single NVIDIA L4 GPU equipped with 24 GB of Ada Lovelace VRAM. The instance features no bundled local storage. Synthetic benchmarks demonstrate top-tier performance in small and medium large language model inference tasks, alongside average multi-core CPU capacity and memory bandwidth. Single-core CPU computation ranks lower in benchmark testing. This server provides a cost-effective hardware footprint for AI inference, real-time video transcoding, computer vision, and graphic rendering applications.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    0.41Score
    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) 625,875 ops/sec 1,936,298 ops/sec 0.33 50.00% 50.00% -43.00%
    Redis RPS (pipeline=16, SET) 3,989,786 ops/sec 11,797,257 ops/sec 0.33 20.00% 20.00% -20.00%
    PassMark Memory Mark (composite) 2,346 2,407 0.96 10.00% 10.00% -0.41%
    Memory bandwidth (read, 16 MB ~ L3) 54,722 MB/sec 108,490 MB/sec 0.5 10.00% 10.00% -6.70%
    PassMark single-thread CPU 1,695 Mops/s 2,365 Mops/s 0.71 10.00% 10.00% -3.40%

    GPU Bandwidth and Latency

    Node (all GPUs)
    Node baseline directional bandwidth
    9.0 GB/s
    Node GPU-to-host bandwidth
    13.2 GB/s
    Node host-to-GPU bandwidth
    12.3 GB/s
    Single GPU slot
    Per-GPU GPU-to-host bandwidth
    13.2 GB/s
    Per-GPU host-to-GPU bandwidth
    12.3 GB/s
    Per-GPU host-device latency
    917 ns
    Benchmark Environment
    Driver Version
    535.183.01
    CUDA Version (driver)
    12.6
    nvbandwidth Version
    v0.5
    GPU Count
    1
    P2P Supported
    No
    Efficiency
    SM/CE copy efficiency
    1.00

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 1,059

    Geekbench Multi-Core

    Score: 4,017

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    7,245
    Compression
    94,348
    Encryption
    2,898
    Extended Instructions
    5,897
    Floating Point Maths
    11,296
    Integer Maths
    21,135
    Physics
    891
    Prime Numbers
    46
    Single Threaded
    1,695
    String Sorting
    11,158

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    2,346
    Database Operations
    2,657
    Memory Latency
    52
    Memory Read Cached
    20,886
    Memory Read Uncached
    11,197
    Memory Write
    10,115

    Stress-ng Stressors

    CPU integerSingleMultiScaling
    atomic
    189.57 198.26 1.05×
    bitops
    92,107 422,270 4.58×
    branch
    131,023 792,318 6.05×
    funccall
    462.27 1,907 4.12×
    funcret
    9,563 54,735 5.72×
    hash
    107,402 613,424 5.71×
    intmath
    19,016 113,293 5.96×
    nop
    162,901 562,669 3.45×
    prime
    271,169 1,212,229 4.47×
    rotate
    82,330 450,450 5.47×
    str
    614,645 2,683,111 4.37×
    wcs
    408,483 1,709,482 4.18×
    CryptographySingleMultiScaling
    crypt
    2,078 8,083 3.89×
    CompressionSingleMultiScaling
    jpeg
    498.98 2,401 4.81×
    zlib
    50.76 278.9 5.49×
    HypervisorSingleMultiScaling
    clock
    26,816 113,469 4.23×
    clone
    322.52 1,057 3.28×
    context
    2,230 10,411 4.67×
    cpu-sched
    68.94 526.09 7.63×
    eventfd
    41,607 375,449 9.02×
    fault
    9,473 48,595 5.13×
    fork
    3,556 18,455 5.19×
    getrandom
    38,075 184,843 4.85×
    hrtimers
    194,700 663,722 3.41×
    mprotect
    787,245 1,119,655 1.42×
    mtx
    9,335,756 201,066,876 21.54×
    munmap
    2,386 12,618 5.29×
    null
    254,526 1,054,493 4.14×
    pipe
    821,190 2,662,018 3.24×
    priv-instr
    472,907 2,168,765 4.59×
    resched
    1,281,312 534,328 0.42×
    switch
    77,092 1,177,707 15.28×
    timermix
    165,970 962,564 5.80×
    tlb-shootdown
    8,195 15,539 1.90×
    tsc
    849,341 4,725,277 5.56×
    usersyscall
    330,582 1,477,818 4.47×
    vdso
    70,514,184 397,143,639 5.63×
    vfork
    25,968 101,880 3.92×
    x86syscall
    2,876,974 11,830,611 4.11×
    yield
    3,792,225 4,010,782 1.06×
    zero
    1,719,974 7,378,105 4.29×
    CPU float/SIMDSingleMultiScaling
    eigen
    13,780 66,557 4.83×
    expmath
    2,273 13,927 6.13×
    fma
    510,248 3,316,270 6.50×
    fp
    102.48 521.07 5.08×
    fractal
    4.2 24.6 5.86×
    hyperbolic
    2,375 14,832 6.25×
    logmath
    3,855 22,719 5.89×
    matrix
    2,591 16,701 6.45×
    matrix-3d
    586.87 1,803 3.07×
    monte-carlo
    118.42 527.21 4.45×
    mpfr
    1,031 4,420 4.29×
    powmath
    1,351 8,231 6.09×
    trig
    1,456 7,700 5.29×
    veccmp
    13,283 55,048 4.14×
    vecfp
    1,149 5,712 4.97×
    vecmath
    1,862 11,725 6.30×
    vecshuf
    480.51 2,059 4.28×
    vecwide
    22,100 95,371 4.32×
    AlgorithmsSingleMultiScaling
    bitonicsort
    6.2 28.6 4.61×
    bsearch
    205.62 929.41 4.52×
    bubblesort
    0.6 1.6 2.67×
    fibsearch
    208.04 949.08 4.56×
    heapsort
    7.4 35.2 4.76×
    hsearch
    4,271 21,231 4.97×
    insertionsort
    7 27.2 3.89×
    malloc
    1,876,791 14,283,152 7.61×
    mcontend
    146.49 1,584 10.81×
    mergesort
    19.8 106.4 5.37×
    qsort
    12.6 57.8 4.59×
    skiplist
    4,147 23,556 5.68×
    tree
    1.2 5 4.17×
    MemorySingleMultiScaling
    cache
    304,774 474,446 1.56×
    cachehammer
    353,626 2,536,150 7.17×
    cacheline
    30.7 262.48 8.55×
    l1cache
    189.87 833.31 4.39×
    memcpy
    296.02 1,270 4.29×
    memrate
    1.17 4.59 3.92×
    memthrash
    118.1 291.77 2.47×
    ptr-chase
    21,611,749 85,802,130 3.97×
    spinmem
    194.38 264.94 1.36×
    stream
    26.31 1,060 40.28×
    vm
    52,527 288,981 5.50×

    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
    g2-standard-4 416 GiB1
    g2-standard-12 1248 GiB1
    g2-standard-16 1664 GiB1
    g2-standard-24 2496 GiB2
    g2-standard-32 32128 GiB1
    g2-standard-48 48192 GiB4
    g2-standard-96 96384 GiB8

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    g2-standard-8 FAQs