g2-standard-12 by Google Cloud Platform

g2-standard-12 is a Graphics Optimized: 1 NVIDIA L4 GPU, 12 vCPUs, 48GB RAM server offered by Google Cloud Platform with 12 vCPUs, 48 GiB of memory and 0 GB of storage. The pricing starts at 0.4605 USD per hour.
12 vCPU
48 GiB Memory
1 GPU
Spare SCore
9,484
(All-cores)
1,198
(Single-core)

Specifications

Server Metadata

Vendor ID
gcp
Server ID
1600012
Name
g2-standard-12
Description
Graphics Optimized: 1 NVIDIA L4 GPU, 12 vCPUs, 48GB RAM
Family
g2
Hw Virt
Average Time To Start
170
Status
active
Observed At
2026-09-24T08:50:22.323466Z

Availability

REGION / IDSPOTONDEMAND
Ashburn (US) / us-east4
0.532 USD/h 0.9971 USD/h
Council Bluffs (US) / us-central1
0.6002 USD/h 1.0004 USD/h
The Dalles (US) / us-west1
0.6002 USD/h 1.0004 USD/h
Moncks Corner (US) / us-east1
0.6002 USD/h 1.0004 USD/h
Mumbai (IN) / asia-south1
0.5304 USD/h 1.0414 USD/h
Eemshaven (NL) / europe-west4
0.6308 USD/h 1.0515 USD/h
St. Ghislain (BE) / europe-west1
0.641 USD/h 1.1016 USD/h
Montréal (CA) / northamerica-northeast1
0.6592 USD/h 1.1016 USD/h
Toronto (CA) / northamerica-northeast2
0.6607 USD/h 1.1016 USD/h
Las Vegas (US) / us-west4
0.6761 USD/h 1.1268 USD/h
London (GB) / europe-west2
0.6834 USD/h 1.1391 USD/h
Changhua County (TW) / asia-east1
0.694 USD/h 1.1584 USD/h
Frankfurt (DE) / europe-west3
0.7039 USD/h 1.179 USD/h
Jurong West (SG) / asia-southeast1
0.7406 USD/h 1.2342 USD/h
Seoul (KR) / asia-northeast3
0.4605 USD/h 1.2847 USD/h
Tokyo (JP) / asia-northeast1
0.7688 USD/h 1.2847 USD/h
Zurich (CH) / europe-west6
0.8141 USD/h 1.3604 USD/h
Dammam (SA) / me-central2
0.9077 USD/h 1.6007 USD/h

Processor

vCPUs
12
CPU Allocation
Dedicated
CPU Cores
6
CPU Speed
2.2 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU L1D Cache
32 KiB
CPU L1D Cache Total
192 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
192 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
6 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
7.9
Scalability
65.83

System Resources and Accelerators

MEMORY
Memory Amount
48 GiB
Memory Amount Actual
48 GiB
GPU
GPU Count
1
GPU Memory Min
24 GiB
GPU Memory Total
24 GiB
GPU Manufacturer
NVIDIA
GPU Family
Ada Lovelace
GPU Model
L4
GPUs
  • 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

    An accelerator-focused configuration pairing a dedicated graphics processor with balanced system memory for efficient machine learning inference.

    GPU AcceleratedGeneral Purpose

    Google Cloud Platform g2-standard-12 is a graphics-optimized server featuring a dedicated NVIDIA L4 GPU with 24 GB of VRAM alongside an Intel Xeon x86_64 processor with 12 vCPUs and 48.0 GB of system memory. It does not include local storage. Performance benchmarks reveal weak single-core CPU execution, while multi-core operations and memory bandwidth perform in the average tier. However, the server excels in GPU-driven tasks, achieving top-tier results in LLM inference for small and medium models. This configuration offers a qualitatively cost-efficient entry point for GPU acceleration, though users must accept the tradeoff of lower single-threaded CPU speeds and the necessity of external storage. It is best suited for small-to-medium LLM inference, graphics rendering, and machine learning workloads.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    0.562Score
    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) 924,163 ops/sec 1,919,696 ops/sec 0.481 50.00% 50.00% -30.60%
    Redis RPS (pipeline=16, SET) 5,796,044 ops/sec 11,736,081 ops/sec 0.494 20.00% 20.00% -13.20%
    PassMark Memory Mark (composite) 2,409 2,418 0.996 10.00% 10.00% -0.04%
    Memory bandwidth (read, 16 MB ~ L3) 75,077 MB/sec 108,260 MB/sec 0.693 10.00% 10.00% -3.60%
    PassMark single-thread CPU 1,695 Mops/s 2,365 Mops/s 0.717 10.00% 10.00% -3.27%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 1,063

    Geekbench Multi-Core

    Score: 5,383

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    10478
    Compression
    139689
    Encryption
    4346
    Extended Instructions
    8971
    Floating Point Maths
    17053
    Integer Maths
    31706
    Physics
    1179
    Prime Numbers
    61
    Single Threaded
    1695
    String Sorting
    16728

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    2409
    Database Operations
    3900
    Memory Latency
    52
    Memory Read Cached
    20776
    Memory Read Uncached
    10477
    Memory Write
    9783

    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
    g2-standard-4 416 GiB1
    g2-standard-8 832 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-12 FAQs