ecs.gn7i-c32g1.8xlarge by Alibaba Cloud

ecs.gn7i-c32g1.8xlarge is a ecs.gn7i family (32 vCPUs, 188 GiB RAM, 0 GB storage, 1xA10 24576 GiB VRAM) server offered by Alibaba Cloud with 32 vCPUs, 188 GiB of memory and 0 GB of storage. The pricing starts at 0.2951 USD per hour.
32 vCPU
188 GiB Memory
1 GPU
Spare SCore
31,110
(All-cores)
1,854
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.gn7i-c32g1.8xlarge
Description
ecs.gn7i family (32 vCPUs, 188 GiB RAM, 0 GB storage, 1xA10 24576 GiB VRAM)
Family
ecs.gn7i
Hw Virt
Status
active
Observed At
2026-10-24T15:16:59.087436

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
0.6198 USD/h 1.7708 USD/h
Guangzhou (CN) / cn-guangzhou
0.2951 USD/h 1.9676 USD/h
Shanghai (CN) / cn-shanghai
0.6887 USD/h 1.9676 USD/h
Beijing (CN) / cn-beijing
- 1.9676 USD/h
Hangzhou (CN) / cn-hangzhou
- 1.9676 USD/h
Seoul (KR) / ap-northeast-2
0.2958 USD/h 1.9721 USD/h
Virginia (US) / us-east-1
0.86875 USD/h 2.758 USD/h
Hong Kong (HK) / cn-hongkong
0.9832 USD/h 2.809 USD/h
Tokyo (JP) / ap-northeast-1
- 3.064 USD/h
Singapore (SG) / ap-southeast-1
1.078 USD/h 3.08 USD/h
Bangkok (TH) / ap-southeast-7
1.0939 USD/h 3.1254 USD/h
Frankfurt (DE) / eu-central-1
1.179 USD/h 3.3685 USD/h

Processor

vCPUs
32
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
16
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
768 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
512 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
20 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
16.8
Scalability
52.5

System Resources and Accelerators

MEMORY
Memory Amount
188 GiB
Memory Amount Actual
191 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 accelerated computing instance featuring dedicated Intel Xeon processors and an NVIDIA Ampere GPU for high-throughput AI inference and graphics rendering.

    GPU AcceleratedCompute OptimizedGeneral Purpose

    Alibaba Cloud ecs.gn7i-c32g1.8xlarge is an x86_64 GPU-accelerated server instance designed for compute-intensive and machine learning workloads. It is configured with 32 dedicated vCPUs from an Intel Xeon 8369B processor running at 2.9 GHz, 188.0 GB of system memory, and a single NVIDIA Ampere A10 GPU with 24 GB of VRAM. The instance does not feature local storage but provides a baseline network bandwidth of 16 Gbps. In performance testing, it excels in LLM inference, achieving top-tier speeds of 2489.49 tokens per second for prompt processing on a medium 7B model. General compute benchmarks are robust, with a PassMark CPU score of 36547.02. This hardware profile is highly suited for AI inference, graphics rendering, and data processing workloads that benefit from dedicated GPU acceleration without requiring local NVMe storage.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    1.8Score
    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) 4,348,855 ops/sec 1,919,289 ops/sec 2.3 50.00% 50.00% +52.00%
    Redis RPS (pipeline=16, SET) 21,389,359 ops/sec 11,728,058 ops/sec 1.8 20.00% 20.00% +12.00%
    PassMark Memory Mark (composite) 2,722 2,416 1.1 10.00% 10.00% +0.96%
    Memory bandwidth (read, 16 MB ~ L3) 132,578 MB/sec 108,466 MB/sec 1.2 10.00% 10.00% +1.80%
    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
    22.2 GB/s
    Node GPU-to-host bandwidth
    25.8 GB/s
    Node host-to-GPU bandwidth
    24.2 GB/s
    Single GPU slot
    Per-GPU GPU-to-host bandwidth
    26.2 GB/s
    Per-GPU host-to-GPU bandwidth
    24.6 GB/s
    Per-GPU host-device latency
    577 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
    0.62

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 1,611

    Geekbench Multi-Core

    Score: 13,808

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    36,547
    Compression
    490,444
    Encryption
    29,282
    Extended Instructions
    28,411
    Floating Point Maths
    68,994
    Integer Maths
    134,943
    Physics
    3,072
    Prime Numbers
    188
    Single Threaded
    2,372
    String Sorting
    68,178

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    2,722
    Database Operations
    14,784
    Memory Latency
    55
    Memory Read Cached
    24,256
    Memory Read Uncached
    11,902
    Memory Write
    11,377

    Stress-ng Stressors

    CPU integerSingleMultiScaling
    atomic
    265.46 290.13 1.09×
    bitops
    130,488 2,136,614 16.37×
    branch
    137,564 3,497,369 25.42×
    funccall
    636.8 10,403 16.34×
    funcret
    11,822 278,268 23.54×
    hash
    152,225 3,523,815 23.15×
    intmath
    61,405 1,215,149 19.79×
    nop
    189,664 2,666,174 14.06×
    prime
    395,233 6,854,200 17.34×
    rotate
    98,019 1,659,931 16.93×
    str
    895,789 14,699,327 16.41×
    wcs
    613,526 8,701,477 14.18×
    CryptographySingleMultiScaling
    crypt
    2,843 42,368 14.90×
    CompressionSingleMultiScaling
    jpeg
    706.87 14,996 21.21×
    zlib
    62.26 1,351 21.70×
    HypervisorSingleMultiScaling
    clock
    24,868 374,382 15.05×
    clone
    577.88 6,296 10.89×
    context
    4,844 116,766 24.10×
    cpu-sched
    68.2 2,028 29.74×
    eventfd
    115,365 1,298,181 11.25×
    fault
    18,555 278,283 15.00×
    fork
    5,786 92,642 16.01×
    getrandom
    51,183 948,521 18.53×
    hrtimers
    559,007 2,964,802 5.30×
    mprotect
    1,161,234 8,469,640 7.29×
    mtx
    15,192,571 1,052,277,807 69.26×
    munmap
    4,122 69,545 16.87×
    null
    801,795 15,773,604 19.67×
    pipe
    1,114,772 14,024,259 12.58×
    priv-instr
    821,082 15,768,143 19.20×
    resched
    14,881,084 4,952,417 0.33×
    switch
    261,510 2,104,845 8.05×
    timermix
    347,040 9,661,365 27.84×
    tlb-shootdown
    12,022 66,651 5.54×
    tsc
    770,224 18,257,603 23.70×
    usersyscall
    645,134 12,509,828 19.39×
    vdso
    112,556,804 2,039,746,243 18.12×
    vfork
    45,086 207,136 4.59×
    x86syscall
    9,113,433 198,760,332 21.81×
    yield
    26,411,319 33,026,074 1.25×
    zero
    4,640,862 87,023,117 18.75×
    CPU float/SIMDSingleMultiScaling
    eigen
    14,787 310,933 21.03×
    expmath
    2,893 67,944 23.49×
    fma
    661,765 18,465,152 27.90×
    fp
    192 3,309 17.24×
    fractal
    5 118.21 23.64×
    hyperbolic
    3,077 72,816 23.66×
    logmath
    4,864 112,968 23.22×
    matrix
    3,511 84,986 24.21×
    matrix-3d
    736.33 4,447 6.04×
    monte-carlo
    258.76 5,672 21.92×
    mpfr
    1,413 24,233 17.16×
    powmath
    1,693 40,477 23.90×
    trig
    1,970 40,212 20.42×
    veccmp
    20,284 315,512 15.56×
    vecfp
    1,530 29,892 19.53×
    vecmath
    3,237 75,081 23.19×
    vecshuf
    666.45 11,616 17.43×
    vecwide
    31,963 595,148 18.62×
    AlgorithmsSingleMultiScaling
    bitonicsort
    8 128 16.00×
    bsearch
    250.08 5,370 21.47×
    bubblesort
    1 12.8 12.80×
    fibsearch
    288.89 5,848 20.24×
    heapsort
    9.4 173.4 18.45×
    hsearch
    7,116 132,850 18.67×
    insertionsort
    10.6 102.2 9.64×
    malloc
    2,635,813 35,553,871 13.49×
    mcontend
    122.68 6,570 53.55×
    mergesort
    26.8 596.59 22.26×
    qsort
    20.8 346.19 16.64×
    skiplist
    5,469 130,469 23.86×
    tree
    1.6 24.18 15.11×
    MemorySingleMultiScaling
    cache
    443,918 750,852 1.69×
    cachehammer
    379,280 9,446,281 24.91×
    cacheline
    64.36 3,908 60.72×
    l1cache
    918.03 6,077 6.62×
    memcpy
    408.3 6,441 15.78×
    memrate
    1.78 12.21 6.86×
    memthrash
    284.6 917.42 3.22×
    ptr-chase
    36,772,619 295,973,654 8.05×
    spinmem
    350.19 1,994 5.69×
    stream
    43.67 8,539 195.53×
    vm
    114,499 297,223 2.60×

    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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    ecs.gn7i-c32g1.8xlarge FAQs