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 0.1287 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
2026-09-14T22:27:10.780187

Availability

REGION / IDSPOTONDEMAND
Ashburn (US) / us-east4
0.1561 USD/h 0.2926 USD/h
Council Bluffs (US) / us-central1
0.1761 USD/h 0.2936 USD/h
The Dalles (US) / us-west1
0.1761 USD/h 0.2936 USD/h
Moncks Corner (US) / us-east1
0.1761 USD/h 0.2936 USD/h
Mumbai (IN) / asia-south1
0.1557 USD/h 0.3056 USD/h
Eemshaven (NL) / europe-west4
0.1852 USD/h 0.3086 USD/h
St. Ghislain (BE) / europe-west1
0.1792 USD/h 0.3233 USD/h
Montréal (CA) / northamerica-northeast1
0.1934 USD/h 0.3233 USD/h
Toronto (CA) / northamerica-northeast2
0.1939 USD/h 0.3233 USD/h
Las Vegas (US) / us-west4
0.1984 USD/h 0.3307 USD/h
London (GB) / europe-west2
0.2006 USD/h 0.3343 USD/h
Changhua County (TW) / asia-east1
0.1939 USD/h 0.3399 USD/h
Frankfurt (DE) / europe-west3
0.2066 USD/h 0.346 USD/h
Jurong West (SG) / asia-southeast1
0.2173 USD/h 0.3622 USD/h
Seoul (KR) / asia-northeast3
0.1287 USD/h 0.377 USD/h
Tokyo (JP) / asia-northeast1
0.2256 USD/h 0.377 USD/h
Zurich (CH) / europe-west6
0.2302 USD/h 0.3846 USD/h
Dammam (SA) / me-central2
0.2537 USD/h 0.4697 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
132.5

System Resources and Accelerators

MEMORY
Memory Amount
32 GiB
Memory Amount Actual
32 GiB
GPU
GPU Count
1
GPU Memory Min
22 GiB
GPU Memory Total
22 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

    A graphics-optimized virtual machine pairing dedicated Intel Xeon processors with an NVIDIA L4 GPU for accelerated machine learning inference.

    GPU AcceleratedGeneral Purpose

    Google Cloud Platform g2-standard-8 is a graphics-optimized server featuring 8 dedicated Intel Xeon vCPUs, 32.0 GB of system memory, and a bundled NVIDIA L4 GPU with 22 GB of VRAM. It does not include local storage. Performance benchmarks reveal a significant tradeoff: while CPU-bound tasks like single-core processing, compression, and software compilation rank in the bottom 25%, the GPU-accelerated capabilities deliver top-tier results in the top 10% for LLM inference. For instance, prompt processing for a medium 7B model reaches 2225.82 tokens per second. Memory bandwidth and database operations remain in the average tier. This configuration is highly efficient for machine learning inference and graphics-accelerated workloads, though it is less suited for CPU-heavy tasks.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    0.415Score
    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 1,917,397 ops/sec 0.326 50.00% 50.00% -42.90%
    Redis RPS (pipeline=16, SET) 3,989,786 ops/sec 11,681,410 ops/sec 0.342 20.00% 20.00% -19.30%
    PassMark Memory Mark (composite) 2,346 2,418 0.97 10.00% 10.00% -0.30%
    Memory bandwidth (read, 16 MB ~ L3) 54,722 MB/sec 108,140 MB/sec 0.506 10.00% 10.00% -6.59%
    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: 1,059

    Geekbench Multi-Core

    Score: 4,017

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    7245
    Compression
    94348
    Encryption
    2898
    Extended Instructions
    5897
    Floating Point Maths
    11296
    Integer Maths
    21135
    Physics
    891
    Prime Numbers
    46
    Single Threaded
    1695
    String Sorting
    11158

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    2346
    Database Operations
    2657
    Memory Latency
    52
    Memory Read Cached
    20886
    Memory Read Uncached
    11197
    Memory Write
    10115

    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-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