ecs.gn7i-c56g1.14xlarge by Alibaba Cloud

ecs.gn7i-c56g1.14xlarge is a ecs.gn7i family (56 vCPUs, 346 GiB RAM, 0 GB storage, 1xA10 24576 GiB VRAM) server offered by Alibaba Cloud with 56 vCPUs, 346 GiB of memory and 0 GB of storage. The pricing starts at 0.426 USD per hour.
56 vCPU
346 GiB Memory
1 GPU
Spare SCore
54,446
(All-cores)
1,866
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.gn7i-c56g1.14xlarge
Description
ecs.gn7i family (56 vCPUs, 346 GiB RAM, 0 GB storage, 1xA10 24576 GiB VRAM)
Family
ecs.gn7i
Hw Virt
Status
active
Observed At
2026-10-24T11:32:00.656626

Availability

REGION / IDSPOTONDEMAND
Seoul (KR) / ap-northeast-2
0.426 USD/h 2.8398 USD/h
Guangzhou (CN) / cn-guangzhou
0.5 USD/h 3.333 USD/h
Heyuan (CN) / cn-heyuan
1.1665 USD/h 3.333 USD/h
Shanghai (CN) / cn-shanghai
- 3.333 USD/h
Virginia (US) / us-east-1
1.39 USD/h 3.9715 USD/h
Hong Kong (HK) / cn-hongkong
- 4.3205 USD/h
Tokyo (JP) / ap-northeast-1
1.5446 USD/h 4.413 USD/h
Bangkok (TH) / ap-southeast-7
1.5752 USD/h 4.5005 USD/h
Singapore (SG) / ap-southeast-1
- 4.7374 USD/h
Frankfurt (DE) / eu-central-1
- 4.8506 USD/h

Processor

vCPUs
56
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
28
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
1 MiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
896 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
35 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
29.2
Scalability
52.14

System Resources and Accelerators

MEMORY
Memory Amount
346 GiB
Memory Amount Actual
351 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: 595.71.05, 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

    A GPU-accelerated server combining dedicated Intel Xeon processors and NVIDIA Ampere architecture for high-throughput machine learning inference and parallel computing.

    GPU AcceleratedCompute OptimizedGeneral Purpose

    Alibaba Cloud ecs.gn7i-c56g1.14xlarge is a GPU-accelerated server instance designed for compute-intensive and machine learning workloads. It features 56 dedicated vCPUs from an Intel Xeon 8369B processor running at 2.9 GHz, paired with 346.0 GB of RAM and a single NVIDIA Ampere A10 GPU with 24 GB of VRAM. The instance operates on a KVM hypervisor and provides a baseline network bandwidth of 16 Gbps, though it lacks local storage. Benchmark results highlight top-tier performance in LLM inference, achieving 2464.01 tokens per second for prompt processing on a 7B model, alongside strong multi-threaded decompression and database operations. This hardware profile offers a cost-efficient balance of dedicated CPU power and GPU acceleration, making it highly suitable for deep learning inference, parallel computing, and database workloads.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    2.3Score
    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) 6,205,338 ops/sec 1,919,289 ops/sec 3.3 50.00% 50.00% +82.00%
    Redis RPS (pipeline=16, SET) 31,636,132 ops/sec 11,728,058 ops/sec 2.7 20.00% 20.00% +22.00%
    PassMark Memory Mark (composite) 2,744 2,416 1.1 10.00% 10.00% +0.96%
    Memory bandwidth (read, 16 MB ~ L3) 135,720 MB/sec 108,466 MB/sec 1.3 10.00% 10.00% +2.70%
    PassMark single-thread CPU 2,372 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
    26.3 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
    564 ns
    Benchmark Environment
    Driver Version
    595.71.05
    CUDA Runtime Version
    13.2
    nvbandwidth Version
    v0.8
    GPU Count
    1
    P2P Supported
    No
    Efficiency
    SM/CE copy efficiency
    0.59

    Memory Bandwidth

    Compression

    OpenSSL

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    51,481
    Compression
    809,136
    Encryption
    47,417
    Extended Instructions
    45,977
    Floating Point Maths
    120,701
    Integer Maths
    236,098
    Physics
    3,278
    Prime Numbers
    235
    Single Threaded
    2,372
    String Sorting
    106,170

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    2,744
    Database Operations
    22,188
    Memory Latency
    54
    Memory Read Cached
    24,021
    Memory Read Uncached
    11,748
    Memory Write
    11,249

    Stress-ng Stressors

    CPU integerSingleMultiScaling
    atomic
    291.12 290.7 1.00×
    bitops
    129,959 3,733,959 28.73×
    branch
    137,473 6,123,037 44.54×
    funccall
    635.84 17,692 27.82×
    funcret
    11,817 456,643 38.64×
    hash
    152,044 6,140,986 40.39×
    intmath
    61,042 2,104,150 34.47×
    nop
    188,971 4,639,239 24.55×
    prime
    392,228 11,483,456 29.28×
    rotate
    97,965 2,905,217 29.66×
    str
    886,731 24,053,945 27.13×
    wcs
    611,812 14,029,430 22.93×
    CryptographySingleMultiScaling
    crypt
    2,796 72,927 26.09×
    CompressionSingleMultiScaling
    jpeg
    691.8 23,808 34.42×
    zlib
    60.06 2,414 40.20×
    HypervisorSingleMultiScaling
    clock
    23,384 333,716 14.27×
    clone
    595.35 9,056 15.21×
    context
    4,848 204,218 42.13×
    cpu-sched
    57.39 3,357 58.50×
    eventfd
    107,899 1,949,123 18.06×
    fault
    17,496 279,296 15.96×
    fork
    5,568 114,550 20.57×
    getrandom
    51,016 1,624,483 31.84×
    hrtimers
    272,259 2,987,860 10.97×
    mprotect
    1,212,581 13,095,189 10.80×
    mtx
    14,534,998 1,799,717,022 123.82×
    munmap
    3,960 100,961 25.50×
    null
    800,183 26,586,157 33.23×
    pipe
    1,160,569 22,857,886 19.70×
    priv-instr
    827,382 17,365,009 20.99×
    resched
    17,368,096 9,279,093 0.53×
    switch
    190,003 3,196,991 16.83×
    timermix
    357,952 16,734,733 46.75×
    tlb-shootdown
    11,460 80,673 7.04×
    tsc
    767,249 31,778,946 41.42×
    usersyscall
    639,320 17,103,531 26.75×
    vdso
    101,849,535 3,205,008,496 31.47×
    vfork
    41,696 172,793 4.14×
    x86syscall
    9,041,805 337,458,943 37.32×
    yield
    39,116,389 51,823,767 1.32×
    zero
    4,618,257 152,127,261 32.94×
    CPU float/SIMDSingleMultiScaling
    eigen
    14,800 518,704 35.05×
    expmath
    2,893 116,449 40.25×
    fma
    661,502 31,785,064 48.05×
    fp
    164.84 5,668 34.38×
    fractal
    5 203.85 40.77×
    hyperbolic
    3,066 126,368 41.22×
    logmath
    4,858 195,053 40.15×
    matrix
    3,491 139,759 40.04×
    matrix-3d
    782.81 4,795 6.12×
    monte-carlo
    258.72 9,602 37.11×
    mpfr
    1,413 40,122 28.39×
    powmath
    1,684 69,051 41.00×
    trig
    1,961 66,320 33.83×
    veccmp
    20,315 528,828 26.03×
    vecfp
    1,530 52,085 34.05×
    vecmath
    3,236 126,025 38.95×
    vecshuf
    666.43 20,078 30.13×
    vecwide
    31,657 923,595 29.17×
    AlgorithmsSingleMultiScaling
    bitonicsort
    8 213.8 26.73×
    bsearch
    250.43 9,047 36.13×
    bubblesort
    1 22.4 22.40×
    fibsearch
    288.51 10,102 35.01×
    heapsort
    9.4 291.19 30.98×
    hsearch
    7,333 215,957 29.45×
    insertionsort
    10.4 168.2 16.17×
    malloc
    2,662,917 54,305,589 20.39×
    mcontend
    110.82 11,324 102.18×
    mergesort
    26.8 956.34 35.68×
    qsort
    20.8 573.18 27.56×
    skiplist
    5,465 222,295 40.68×
    tree
    1.6 33.55 20.97×
    MemorySingleMultiScaling
    cache
    472,982 986,138 2.08×
    cachehammer
    379,785 13,880,810 36.55×
    cacheline
    44.38 4,279 96.42×
    l1cache
    917.64 10,480 11.42×
    memcpy
    407.08 10,816 26.57×
    memrate
    1.78 20.76 11.66×
    memthrash
    273.62 1,028 3.76×
    ptr-chase
    35,011,809 449,928,963 12.85×
    spinmem
    353.99 3,854 10.89×
    stream
    40.59 16,233 399.93×
    vm
    115,262 301,700 2.62×

    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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