ecs.gn7i-c48g1.12xlarge by Alibaba Cloud

ecs.gn7i-c48g1.12xlarge is a ecs.gn7i family (48 vCPUs, 310 GiB RAM, 0 GB storage, 1xA10 24576 GiB VRAM) server offered by Alibaba Cloud with 48 vCPUs, 310 GiB of memory and 0 GB of storage. The pricing starts at 0.355 USD per hour.
48 vCPU
310 GiB Memory
1 GPU
Spare SCore
46,672
(All-cores)
1,857
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.gn7i-c48g1.12xlarge
Description
ecs.gn7i family (48 vCPUs, 310 GiB RAM, 0 GB storage, 1xA10 24576 GiB VRAM)
Family
ecs.gn7i
Hw Virt
Status
active
Observed At
2026-10-24T15:16:59.089131

Availability

REGION / IDSPOTONDEMAND
Seoul (KR) / ap-northeast-2
0.355 USD/h 2.3665 USD/h
Guangzhou (CN) / cn-guangzhou
0.9723 USD/h 2.778 USD/h
Hangzhou (CN) / cn-hangzhou
0.9723 USD/h 2.778 USD/h
Beijing (CN) / cn-beijing
- 2.778 USD/h
Heyuan (CN) / cn-heyuan
- 2.778 USD/h
Shanghai (CN) / cn-shanghai
- 2.778 USD/h
Virginia (US) / us-east-1
0.8274 USD/h 3.3096 USD/h
Hong Kong (HK) / cn-hongkong
1.2602 USD/h 3.6004 USD/h
Tokyo (JP) / ap-northeast-1
1.287 USD/h 3.677 USD/h
Bangkok (TH) / ap-southeast-7
1.3127 USD/h 3.7504 USD/h
Singapore (SG) / ap-southeast-1
1.3817 USD/h 3.9478 USD/h
Frankfurt (DE) / eu-central-1
- 4.0422 USD/h

Processor

vCPUs
48
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
24
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
768 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
30 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
25.1
Scalability
52.29

System Resources and Accelerators

MEMORY
Memory Amount
310 GiB
Memory Amount Actual
315 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

    A GPU-accelerated virtual server featuring dedicated Intel Xeon processors and an NVIDIA A10 GPU for efficient AI inference and parallel processing.

    GPU AcceleratedGeneral Purpose

    Alibaba Cloud ecs.gn7i-c48g1.12xlarge is a GPU-accelerated instance featuring 48 vCPUs and 24 physical cores powered by an Intel Xeon 8369B processor running at 2.9 GHz. It is configured with 310.0 GB of system memory and a single NVIDIA Ampere A10 GPU with 24 GB of VRAM. The instance does not include local storage and provides a baseline network bandwidth of 16 Gbps. In benchmark testing, the server demonstrates top-tier performance in LLM inference for small and medium models, alongside strong capabilities in multi-threaded decompression and image processing. Lacking local storage, this instance is best suited for workloads such as AI inference, image processing, and GPU-accelerated compute tasks that rely on network-attached storage.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    2.2Score
    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) 6,176,617 ops/sec 1,919,289 ops/sec 3.3 50.00% 50.00% +82.00%
    Redis RPS (pipeline=16, SET) 29,233,725 ops/sec 11,728,058 ops/sec 2.4 20.00% 20.00% +19.00%
    PassMark Memory Mark (composite) 2,731 2,416 1.1 10.00% 10.00% +0.96%
    Memory bandwidth (read, 16 MB ~ L3) 134,095 MB/sec 108,466 MB/sec 1.2 10.00% 10.00% +1.80%
    PassMark single-thread CPU 2,370 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

    GPU Bandwidth and Latency

    Node (all GPUs)
    Node baseline directional bandwidth
    22.1 GB/s
    Node GPU-to-host bandwidth
    25.5 GB/s
    Node host-to-GPU bandwidth
    24.1 GB/s
    Single GPU slot
    Per-GPU GPU-to-host bandwidth
    26.3 GB/s
    Per-GPU host-to-GPU bandwidth
    24.6 GB/s
    Per-GPU host-device latency
    574 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
    0.59

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 1,613

    Geekbench Multi-Core

    Score: 15,234

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    47,330
    Compression
    712,844
    Encryption
    42,229
    Extended Instructions
    40,395
    Floating Point Maths
    103,519
    Integer Maths
    202,415
    Physics
    3,222
    Prime Numbers
    222
    Single Threaded
    2,370
    String Sorting
    95,792

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    2,731
    Database Operations
    20,415
    Memory Latency
    55
    Memory Read Cached
    23,927
    Memory Read Uncached
    11,888
    Memory Write
    11,371

    Stress-ng Stressors

    CPU integerSingleMultiScaling
    atomic
    259.91 278.49 1.07×
    bitops
    130,547 3,204,331 24.55×
    branch
    137,600 5,246,494 38.13×
    funccall
    637.29 15,529 24.37×
    funcret
    11,763 401,851 34.16×
    hash
    151,389 5,286,055 34.92×
    intmath
    61,421 1,820,317 29.64×
    nop
    190,062 3,994,188 21.02×
    prime
    394,642 10,179,768 25.79×
    rotate
    97,976 2,490,294 25.42×
    str
    867,414 22,035,061 25.40×
    wcs
    615,368 12,526,612 20.36×
    CryptographySingleMultiScaling
    crypt
    2,841 63,468 22.34×
    CompressionSingleMultiScaling
    jpeg
    726.72 21,386 29.43×
    zlib
    63.23 2,160 34.16×
    HypervisorSingleMultiScaling
    clock
    24,227 362,849 14.98×
    clone
    565.62 8,679 15.34×
    context
    4,845 175,160 36.15×
    cpu-sched
    59.61 3,105 52.09×
    eventfd
    114,860 1,850,606 16.11×
    fault
    18,548 305,309 16.46×
    fork
    5,659 118,404 20.92×
    getrandom
    51,313 1,419,022 27.65×
    hrtimers
    457,744 3,352,808 7.32×
    mprotect
    1,210,173 12,202,036 10.08×
    mtx
    10,907,576 1,625,105,136 148.99×
    munmap
    4,046 94,131 23.26×
    null
    795,704 23,700,279 29.79×
    pipe
    1,052,220 21,428,862 20.37×
    priv-instr
    824,747 17,358,513 21.05×
    resched
    17,448,916 7,641,908 0.44×
    switch
    256,140 3,000,054 11.71×
    timermix
    357,488 14,552,690 40.71×
    tlb-shootdown
    14,540 79,821 5.49×
    tsc
    770,101 27,385,903 35.56×
    usersyscall
    644,331 16,212,463 25.16×
    vdso
    112,525,119 3,063,729,939 27.23×
    vfork
    44,013 185,499 4.21×
    x86syscall
    9,107,078 298,957,411 32.83×
    yield
    39,586,889 50,421,622 1.27×
    zero
    4,641,386 133,572,281 28.78×
    CPU float/SIMDSingleMultiScaling
    eigen
    14,790 459,811 31.09×
    expmath
    2,888 101,667 35.21×
    fma
    661,825 27,694,433 41.85×
    fp
    170.4 4,905 28.79×
    fractal
    5 177.24 35.45×
    hyperbolic
    3,075 109,326 35.55×
    logmath
    4,854 169,194 34.86×
    matrix
    3,521 126,170 35.83×
    matrix-3d
    737.1 4,754 6.45×
    monte-carlo
    258.71 8,287 32.03×
    mpfr
    1,412 35,693 25.28×
    powmath
    1,689 60,334 35.73×
    trig
    1,967 58,875 29.93×
    veccmp
    20,186 467,382 23.15×
    vecfp
    1,530 44,853 29.31×
    vecmath
    3,235 111,214 34.38×
    vecshuf
    665.82 17,408 26.14×
    vecwide
    31,952 822,934 25.76×
    AlgorithmsSingleMultiScaling
    bitonicsort
    8 192 24.00×
    bsearch
    249.9 7,789 31.17×
    bubblesort
    1 19.2 19.20×
    fibsearch
    288.9 8,566 29.65×
    heapsort
    9.4 259.19 27.57×
    hsearch
    7,122 191,756 26.92×
    insertionsort
    10.4 153.4 14.75×
    malloc
    2,662,875 47,799,290 17.95×
    mcontend
    107.71 9,859 91.53×
    mergesort
    26.8 856.17 31.95×
    qsort
    20.6 509.78 24.75×
    skiplist
    5,468 195,129 35.69×
    tree
    1.6 28.76 17.98×
    MemorySingleMultiScaling
    cache
    454,268 914,744 2.01×
    cachehammer
    383,322 12,653,008 33.01×
    cacheline
    43.38 4,385 101.08×
    l1cache
    900.79 9,039 10.03×
    memcpy
    407.15 9,521 23.38×
    memrate
    1.78 17.85 10.03×
    memthrash
    333.46 1,023 3.07×
    ptr-chase
    32,771,836 399,841,122 12.20×
    spinmem
    355.19 3,336 9.39×
    stream
    42.51 13,521 318.08×
    vm
    127,775 300,186 2.35×

    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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