ecs.gn7i-c8g1.2xlarge by Alibaba Cloud

ecs.gn7i-c8g1.2xlarge is a ecs.gn7i family (8 vCPUs, 30 GiB RAM, 0 GB storage, 1xA10 24576 GiB VRAM) server offered by Alibaba Cloud with 8 vCPUs, 30 GiB of memory and 0 GB of storage. The pricing starts at 0.2514 USD per hour.
8 vCPU
30 GiB Memory
1 GPU
Spare SCore
7,766
(All-cores)
1,856
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.gn7i-c8g1.2xlarge
Description
ecs.gn7i family (8 vCPUs, 30 GiB RAM, 0 GB storage, 1xA10 24576 GiB VRAM)
Family
ecs.gn7i
Hw Virt
Status
active
Observed At
2026-10-24T15:16:59.086416

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
0.4439 USD/h 1.2684 USD/h
Ulanqab (CN) / cn-wulanchabu
0.4439 USD/h 1.2684 USD/h
Guangzhou (CN) / cn-guangzhou
0.4933 USD/h 1.4094 USD/h
Beijing (CN) / cn-beijing
- 1.4094 USD/h
Hangzhou (CN) / cn-hangzhou
- 1.4094 USD/h
Shanghai (CN) / cn-shanghai
- 1.4094 USD/h
Shenzhen (CN) / cn-shenzhen
- 1.4094 USD/h
Seoul (KR) / ap-northeast-2
0.2514 USD/h 1.6762 USD/h
Virginia (US) / us-east-1
0.5861 USD/h 2.3443 USD/h
Hong Kong (HK) / cn-hongkong
0.8357 USD/h 2.3877 USD/h
Tokyo (JP) / ap-northeast-1
0.9117 USD/h 2.605 USD/h
Singapore (SG) / ap-southeast-1
0.9163 USD/h 2.618 USD/h
Bangkok (TH) / ap-southeast-7
0.9298 USD/h 2.6566 USD/h
Frankfurt (DE) / eu-central-1
1.0021 USD/h 2.8632 USD/h

Processor

vCPUs
8
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
4
CPU Speed
2.9 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8369B
CPU L1D Cache
48 KiB
CPU L1D Cache Total
192 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
128 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
5 MiB
CPU L3 Cache
48 MiB
CPU L3 Cache Total
48 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, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, abm, 3dnowprefetch, cpuid_fault, ibrs_enhanced, fsgsbase, tsc_adjust, bmi1, avx2, smep, bmi2, erms, invpcid, avx512f, avx512dq, rdseed, adx, smap, avx512ifma, clflushopt, clwb, avx512cd, sha_ni, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, wbnoinvd, arat, avx512vbmi, pku, ospke, avx512_vbmi2, gfni, vaes, vpclmulqdq, avx512_vnni, avx512_bitalg, avx512_vpopcntdq, rdpid, fsrm, arch_capabilities
Ecpus
4.2
Scalability
52.5

System Resources and Accelerators

MEMORY
Memory Amount
30 GiB
Memory Amount Actual
30 GiB
ACCELERATORS
Accelerator Count
1
Accelerator Memory Min
24 GiB
Accelerator Memory Total
24 GiB
Accelerator Type
GPU
Accelerator Manufacturer
NVIDIA
Accelerator Family
Ampere
Accelerator Model
A10
Accelerators
  • NVIDIA Ampere NVIDIA A10 (Memory amount: 23028, Firmware version: 590.48.01, BIOS version: 94.02.91.00.02, Clock rate: 1695)
STORAGE
Storage Size
0 GB
Storages
    NETWORK
    Network Speed Baseline
    16 Gbps
    Inbound Traffic
    0 GB/month
    Outbound Traffic
    0 GB/month
    IPv4
    0

    CPU and System Topology

    Server Description

    An accelerator-optimized instance combining dedicated Intel Xeon processors with an NVIDIA Ampere GPU for efficient machine learning inference and graphics rendering.

    GPU AcceleratedCompute OptimizedGeneral Purpose

    Alibaba Cloud ecs.gn7i-c8g1.2xlarge is a GPU-accelerated virtual machine instance featuring 8 dedicated vCPUs from an Intel Xeon 8369B processor running at 2.9 GHz, 30.0 GB of system memory, and a single NVIDIA Ampere A10 GPU with 24 GB of VRAM. Built on the KVM hypervisor, this instance does not include local storage but provides a 16 Gbps baseline network bandwidth. CPU instruction support includes AVX-512 and cryptographic acceleration. In benchmark testing, the instance delivers average CPU and memory performance, but achieves top-tier results in LLM inference, processing 2504.89 tokens per second for prompt processing on a medium 7B model. This hardware profile is optimized for small to medium machine learning inference, image processing, ray tracing, and GPU-assisted compute workloads that do not require local storage.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    0.61Score
    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) 1,090,611 ops/sec 1,919,289 ops/sec 0.58 50.00% 50.00% -24.00%
    Redis RPS (pipeline=16, SET) 5,524,596 ops/sec 11,728,058 ops/sec 0.46 20.00% 20.00% -14.00%
    PassMark Memory Mark (composite) 2,342 2,416 0.96 10.00% 10.00% -0.41%
    Memory bandwidth (read, 16 MB ~ L3) 61,208 MB/sec 108,466 MB/sec 0.55 10.00% 10.00% -5.80%
    PassMark single-thread CPU 2,359 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

    GPU Bandwidth and Latency

    Node (all GPUs)
    Node baseline directional bandwidth
    22.3 GB/s
    Node GPU-to-host bandwidth
    26.4 GB/s
    Node host-to-GPU bandwidth
    24.2 GB/s
    Single GPU slot
    Per-GPU GPU-to-host bandwidth
    26.4 GB/s
    Per-GPU host-to-GPU bandwidth
    24.2 GB/s
    Per-GPU host-device latency
    640 ns
    Benchmark Environment
    Driver Version
    590.48.01
    CUDA Runtime Version
    13.1
    nvbandwidth Version
    v0.8
    GPU Count
    1
    P2P Supported
    No
    Efficiency
    SM/CE copy efficiency
    0.83

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 1,580

    Geekbench Multi-Core

    Score: 5,901

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    11,365
    Compression
    124,963
    Encryption
    7,312
    Extended Instructions
    6,970
    Floating Point Maths
    17,217
    Integer Maths
    33,642
    Physics
    1,347
    Prime Numbers
    73
    Single Threaded
    2,359
    String Sorting
    17,636

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    2,342
    Database Operations
    3,992
    Memory Latency
    57
    Memory Read Cached
    24,252
    Memory Read Uncached
    11,759
    Memory Write
    11,386

    Stress-ng Stressors

    CPU integerSingleMultiScaling
    atomic
    283.9 321.33 1.13×
    bitops
    130,389 533,097 4.09×
    branch
    137,504 872,073 6.34×
    funccall
    636.06 2,613 4.11×
    funcret
    11,822 71,014 6.01×
    hash
    151,162 878,762 5.81×
    intmath
    61,396 303,175 4.94×
    nop
    190,028 667,523 3.51×
    prime
    394,778 1,710,363 4.33×
    rotate
    97,994 416,266 4.25×
    str
    869,323 3,693,321 4.25×
    wcs
    612,684 2,116,842 3.46×
    CryptographySingleMultiScaling
    crypt
    2,843 10,569 3.72×
    CompressionSingleMultiScaling
    jpeg
    726.95 3,771 5.19×
    zlib
    65.81 367.22 5.58×
    HypervisorSingleMultiScaling
    clock
    25,868 153,518 5.93×
    clone
    584.47 1,850 3.17×
    context
    4,836 29,109 6.02×
    cpu-sched
    65.55 491.35 7.50×
    eventfd
    111,902 732,304 6.54×
    fault
    18,392 92,001 5.00×
    fork
    5,909 32,396 5.48×
    getrandom
    51,192 236,591 4.62×
    hrtimers
    529,746 1,221,753 2.31×
    mprotect
    1,078,033 2,160,574 2.00×
    mtx
    14,561,150 261,790,801 17.98×
    munmap
    4,242 21,613 5.10×
    null
    801,001 3,953,787 4.94×
    pipe
    1,104,863 4,529,600 4.10×
    priv-instr
    826,831 4,183,023 5.06×
    resched
    3,398,471 1,252,756 0.37×
    switch
    224,127 1,520,828 6.79×
    timermix
    345,732 2,403,487 6.95×
    tlb-shootdown
    11,162 22,123 1.98×
    tsc
    769,744 4,554,643 5.92×
    usersyscall
    644,974 3,237,121 5.02×
    vdso
    112,503,238 508,995,834 4.52×
    vfork
    45,576 159,627 3.50×
    x86syscall
    9,120,236 49,715,173 5.45×
    yield
    6,553,020 6,268,404 0.96×
    zero
    4,635,618 21,798,088 4.70×
    CPU float/SIMDSingleMultiScaling
    eigen
    14,836 76,682 5.17×
    expmath
    2,888 16,929 5.86×
    fma
    661,353 4,604,012 6.96×
    fp
    184.36 828.5 4.49×
    fractal
    5 29.6 5.92×
    hyperbolic
    3,066 18,265 5.96×
    logmath
    4,847 28,138 5.80×
    matrix
    3,533 21,801 6.17×
    matrix-3d
    724.8 2,144 2.96×
    monte-carlo
    258.6 1,378 5.33×
    mpfr
    1,412 6,061 4.29×
    powmath
    1,688 10,086 5.98×
    trig
    1,972 10,029 5.09×
    veccmp
    20,339 78,744 3.87×
    vecfp
    1,530 7,511 4.91×
    vecmath
    3,236 18,749 5.79×
    vecshuf
    665.79 2,904 4.36×
    vecwide
    31,827 147,939 4.65×
    AlgorithmsSingleMultiScaling
    bitonicsort
    8 32.2 4.03×
    bsearch
    249.52 1,328 5.32×
    bubblesort
    1 3.2 3.20×
    fibsearch
    288.97 1,423 4.92×
    heapsort
    9.4 43.4 4.62×
    hsearch
    7,129 33,192 4.66×
    insertionsort
    10.4 25.4 2.44×
    malloc
    2,650,710 18,472,771 6.97×
    mcontend
    168.82 1,695 10.04×
    mergesort
    26.8 150.6 5.62×
    qsort
    20.8 87.2 4.19×
    skiplist
    5,450 32,403 5.95×
    tree
    1.6 8 5.00×
    MemorySingleMultiScaling
    cache
    367,702 530,825 1.44×
    cachehammer
    367,444 2,678,400 7.29×
    cacheline
    59.36 497.65 8.38×
    l1cache
    917.93 1,539 1.68×
    memcpy
    406.97 1,602 3.94×
    memrate
    1.78 6.24 3.51×
    memthrash
    168.64 346.36 2.05×
    ptr-chase
    27,637,906 89,881,210 3.25×
    spinmem
    346.99 577.48 1.66×
    stream
    42.01 1,233 29.35×
    vm
    115,441 292,066 2.53×

    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

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