ecs.gn6i-c40g1.10xlarge by Alibaba Cloud

ecs.gn6i-c40g1.10xlarge is a ecs.gn6i family (40 vCPUs, 155 GiB RAM, 0 GB storage, 1xT4 16384.0 GiB VRAM) server offered by Alibaba Cloud with 40 vCPUs, 155 GiB of memory and 0 GB of storage. The pricing starts at 0.5348 USD per hour.
40 vCPU
155 GiB Memory
1 GPU
Spare SCore
29,538
(All-cores)
1,107
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.gn6i-c40g1.10xlarge
Description
ecs.gn6i family (40 vCPUs, 155 GiB RAM, 0 GB storage, 1xT4 16384.0 GiB VRAM)
Family
ecs.gn6i
Hw Virt
Status
active
Observed At
2026-10-25T23:55:50.595072

Availability

REGION / IDSPOTONDEMAND
Chengdu (CN) / cn-chengdu
0.6902 USD/h 1.972 USD/h
Ulanqab (CN) / cn-wulanchabu
- 1.972 USD/h
Qingdao (CN) / cn-qingdao
0.6573 USD/h 2.191 USD/h
Heyuan (CN) / cn-heyuan
0.5697 USD/h 2.191 USD/h
Beijing (CN) / cn-beijing
- 2.191 USD/h
Guangzhou (CN) / cn-guangzhou
- 2.191 USD/h
Hangzhou (CN) / cn-hangzhou
- 2.191 USD/h
Shanghai (CN) / cn-shanghai
- 2.191 USD/h
Shenzhen (CN) / cn-shenzhen
- 2.191 USD/h
Virginia (US) / us-east-1
1.0631 USD/h 3.0375 USD/h
Hong Kong (HK) / cn-hongkong
- 3.2952 USD/h
Singapore (SG) / ap-southeast-1
- 3.4686 USD/h
Jakarta (ID) / ap-southeast-5
- 3.4686 USD/h
Tokyo (JP) / ap-northeast-1
0.8913 USD/h 3.5651 USD/h
Kuala Lumpur (MY) / ap-southeast-3
1.2747 USD/h 3.6421 USD/h

Processor

vCPUs
40
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
20
CPU Speed
2.5 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8163
CPU L1D Cache
32 KiB
CPU L1D Cache Total
640 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
640 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
20 MiB
CPU L3 Cache
33 MiB
CPU L3 Cache Total
33 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, pti, fsgsbase, tsc_adjust, bmi1, avx2, smep, bmi2, erms, invpcid, avx512f, avx512dq, rdseed, adx, smap, clflushopt, clwb, avx512cd, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, arat
Ecpus
26.7
Scalability
66.75

System Resources and Accelerators

MEMORY
Memory Amount
155 GiB
Memory Amount Actual
155 GiB
ACCELERATORS
Accelerator Count
1
Accelerator Memory Min
16 GiB
Accelerator Memory Total
16 GiB
Accelerator Type
GPU
Accelerator Manufacturer
NVIDIA
Accelerator Family
Turing
Accelerator Model
T4
Accelerators
  • NVIDIA Turing Tesla T4 (Memory amount: 15360, Firmware version: 590.48.01, BIOS version: 90.04.38.00.03, Clock rate: 1590)
STORAGE
Storage Size
0 GB
Storages
    NETWORK
    Network Speed Baseline
    10 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 an NVIDIA T4 GPU and forty vCPUs for efficient machine learning inference and parallel workloads.

    GPU AcceleratedGeneral Purpose

    Alibaba Cloud ecs.gn6i-c40g1.10xlarge is a GPU-accelerated virtual server powered by an Intel Xeon 8163 processor with 40 vCPUs and 155.0 GB of system memory. Built on the x86_64 architecture, this KVM-based instance features a dedicated NVIDIA T4 GPU with 16 GB of VRAM, making it highly capable for parallel computing tasks. It does not include local storage, relying instead on network-attached options, and provides a baseline network bandwidth of 10 Gbps. While single-core benchmark performance is relatively weak, multi-core capabilities are average, and the GPU delivers top-tier performance in prompt processing for small and medium-sized language models. This hardware profile makes the instance qualitatively cost-efficient for workloads such as machine learning inference, parallel data processing, and GPU-assisted rendering.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    1.3Score
    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) 3,087,352 ops/sec 1,919,289 ops/sec 1.6 50.00% 50.00% +26.00%
    Redis RPS (pipeline=16, SET) 16,513,797 ops/sec 11,728,058 ops/sec 1.4 20.00% 20.00% +7.00%
    PassMark Memory Mark (composite) 1,856 2,416 0.79 10.00% 10.00% -2.30%
    Memory bandwidth (read, 16 MB ~ L3) 105,001 MB/sec 108,466 MB/sec 1 10.00% 10.00% 0.00%
    PassMark single-thread CPU 1,664 Mops/s 2,365 Mops/s 0.71 10.00% 10.00% -3.40%

    GPU Bandwidth and Latency

    Node (all GPUs)
    Node baseline directional bandwidth
    9.0 GB/s
    Node GPU-to-host bandwidth
    10.5 GB/s
    Node host-to-GPU bandwidth
    9.8 GB/s
    Single GPU slot
    Per-GPU GPU-to-host bandwidth
    10.8 GB/s
    Per-GPU host-to-GPU bandwidth
    11.5 GB/s
    Per-GPU host-device latency
    992 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
    0.55

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 934

    Geekbench Multi-Core

    Score: 9,161

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    27,269
    Compression
    451,006
    Encryption
    13,602
    Extended Instructions
    29,377
    Floating Point Maths
    52,975
    Integer Maths
    98,856
    Physics
    2,549
    Prime Numbers
    126
    Single Threaded
    1,664
    String Sorting
    58,224

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    1,856
    Database Operations
    10,680
    Memory Latency
    78
    Memory Read Cached
    19,440
    Memory Read Uncached
    6,652
    Memory Write
    7,184

    Stress-ng Stressors

    CPU integerSingleMultiScaling
    atomic
    172.36 146.71 0.85×
    bitops
    100,306 2,211,836 22.05×
    branch
    122,139 3,710,800 30.38×
    funccall
    449.41 9,434 20.99×
    funcret
    9,099 266,377 29.27×
    hash
    103,668 3,068,457 29.60×
    intmath
    17,971 544,996 30.33×
    nop
    151,676 2,630,054 17.34×
    prime
    261,310 5,838,666 22.34×
    rotate
    76,653 1,933,168 25.22×
    str
    658,299 15,966,066 24.25×
    wcs
    402,333 9,033,763 22.45×
    CryptographySingleMultiScaling
    crypt
    1,933 37,778 19.54×
    CompressionSingleMultiScaling
    jpeg
    456.06 11,870 26.03×
    zlib
    34.79 1,315 37.80×
    HypervisorSingleMultiScaling
    clock
    14,755 274,772 18.62×
    clone
    381.09 6,324 16.60×
    context
    1,564 42,241 27.02×
    cpu-sched
    65.31 2,547 39.00×
    eventfd
    74,233 1,004,163 13.53×
    fault
    10,886 185,561 17.05×
    fork
    3,252 66,734 20.52×
    getrandom
    35,747 888,758 24.86×
    hrtimers
    503,917 2,588,739 5.14×
    mprotect
    967,965 4,945,000 5.11×
    mtx
    10,506,490 865,175,266 82.35×
    munmap
    2,299 49,921 21.71×
    null
    171,840 4,213,972 24.52×
    pipe
    798,726 7,292,642 9.13×
    priv-instr
    353,474 9,126,658 25.82×
    resched
    4,908,411 3,033,096 0.62×
    switch
    174,664 3,651,180 20.90×
    timermix
    346,478 9,567,919 27.61×
    tlb-shootdown
    9,734 56,140 5.77×
    tsc
    789,906 22,217,855 28.13×
    usersyscall
    248,687 6,440,982 25.90×
    vdso
    64,292,513 2,254,261,787 35.06×
    vfork
    25,377 115,818 4.56×
    x86syscall
    1,900,538 47,835,099 25.17×
    yield
    16,190,964 18,897,099 1.17×
    zero
    1,261,722 30,602,266 24.25×
    CPU float/SIMDSingleMultiScaling
    eigen
    12,904 330,028 25.58×
    expmath
    2,113 65,452 30.97×
    fma
    479,177 16,677,852 34.81×
    fp
    124.8 3,915 31.37×
    fractal
    4.2 122.43 29.15×
    hyperbolic
    2,202 69,815 31.70×
    logmath
    3,617 109,422 30.25×
    matrix
    2,395 76,936 32.12×
    matrix-3d
    558.74 4,004 7.17×
    monte-carlo
    85.96 2,513 29.23×
    mpfr
    969.52 21,026 21.69×
    powmath
    1,259 38,588 30.64×
    trig
    1,362 36,926 27.10×
    veccmp
    12,122 241,512 19.92×
    vecfp
    1,760 43,511 24.72×
    vecmath
    1,659 53,129 32.02×
    vecshuf
    744.93 16,115 21.63×
    vecwide
    44,941 1,053,571 23.44×
    AlgorithmsSingleMultiScaling
    bitonicsort
    5.6 128 22.86×
    bsearch
    198.18 4,546 22.94×
    bubblesort
    0.6 8 13.33×
    fibsearch
    222.79 5,662 25.41×
    heapsort
    6.6 162 24.55×
    hsearch
    3,984 98,868 24.82×
    insertionsort
    6.4 128 20.00×
    malloc
    1,685,988 35,953,590 21.32×
    mcontend
    104.7 9,220 88.07×
    mergesort
    21.2 538.78 25.41×
    qsort
    15 367.79 24.52×
    skiplist
    4,155 117,963 28.39×
    tree
    1.2 15.98 13.32×
    MemorySingleMultiScaling
    cache
    276,378 549,317 1.99×
    cachehammer
    248,399 8,107,967 32.64×
    cacheline
    31.16 2,252 72.26×
    l1cache
    180.04 3,850 21.39×
    memcpy
    302.78 6,120 20.21×
    memrate
    0.97 7.26 7.48×
    memthrash
    209.89 831.29 3.96×
    ptr-chase
    29,260,173 287,235,660 9.82×
    spinmem
    315.39 2,726 8.64×
    stream
    36.7 12,602 343.39×
    vm
    29,688 296,881 10.00×

    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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