ecs.gn6i-c16g1.4xlarge by Alibaba Cloud

ecs.gn6i-c16g1.4xlarge is a ecs.gn6i family (16 vCPUs, 62 GiB RAM, 0 GB storage, 1xT4 16384.0 GiB VRAM) server offered by Alibaba Cloud with 16 vCPUs, 62 GiB of memory and 0 GB of storage. The pricing starts at 0.303 USD per hour.
16 vCPU
62 GiB Memory
1 GPU
Spare SCore
11,834
(All-cores)
1,110
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.gn6i-c16g1.4xlarge
Description
ecs.gn6i family (16 vCPUs, 62 GiB RAM, 0 GB storage, 1xT4 16384.0 GiB VRAM)
Family
ecs.gn6i
Hw Virt
Status
active
Observed At
2026-10-24T00:57:06.615814

Availability

REGION / IDSPOTONDEMAND
Virginia (US) / us-east-1
0.5869 USD/h 1.677 USD/h
Hong Kong (HK) / cn-hongkong
- 1.764 USD/h
Jakarta (ID) / ap-southeast-5
- 1.857 USD/h
Tokyo (JP) / ap-northeast-1
0.48295 USD/h 1.894 USD/h
Kuala Lumpur (MY) / ap-southeast-3
0.6825 USD/h 1.95 USD/h
Singapore (SG) / ap-southeast-1
0.6965 USD/h 1.99 USD/h
Chengdu (CN) / cn-chengdu
- 2.2856 USD/h
Guangzhou (CN) / cn-guangzhou
- 2.539 USD/h
Beijing (CN) / cn-beijing
0.889 USD/h 2.54 USD/h
Heyuan (CN) / cn-heyuan
0.889 USD/h 2.54 USD/h
Qingdao (CN) / cn-qingdao
0.889 USD/h 2.54 USD/h
Hangzhou (CN) / cn-hangzhou
- 2.54 USD/h
Shanghai (CN) / cn-shanghai
- 2.54 USD/h
Shenzhen (CN) / cn-shenzhen
- 2.54 USD/h

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
8
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
256 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
256 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
8 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
10.7
Scalability
66.88

System Resources and Accelerators

MEMORY
Memory Amount
62 GiB
Memory Amount Actual
62 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: 90.04.96.00.9F, Clock rate: 1590)
STORAGE
Storage Size
0 GB
Storages
    NETWORK
    Network Speed Baseline
    6 Gbps
    Inbound Traffic
    0 GB/month
    Outbound Traffic
    0 GB/month
    IPv4
    0

    CPU and System Topology

    Server Description

    An entry-level GPU-accelerated instance combining dedicated Intel Xeon processors with an NVIDIA T4 GPU for efficient machine learning inference.

    GPU AcceleratedGeneral Purpose

    Alibaba Cloud ecs.gn6i-c16g1.4xlarge is a GPU-accelerated instance featuring 16 dedicated Intel Xeon 8163 vCPUs, 62.0 GB of RAM, and a single NVIDIA T4 GPU with 16 GB of VRAM. Operating on the KVM hypervisor, this instance does not include local storage and provides a 6 Gbps baseline network bandwidth. While single-core CPU and memory benchmark scores are relatively weak, multi-core performance is average, and GPU-driven tasks show strong capabilities. Specifically, LLM inference prompt processing for 135M and 7B models ranks in the top 10%. This hardware profile makes the instance qualitatively cost-efficient for entry-level GPU workloads, machine learning inference, and video processing, though users must account for the lack of local storage and modest single-thread CPU performance.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    0.68Score
    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) 1,309,494 ops/sec 1,919,289 ops/sec 0.68 50.00% 50.00% -18.00%
    Redis RPS (pipeline=16, SET) 7,439,913 ops/sec 11,728,058 ops/sec 0.62 20.00% 20.00% -9.10%
    PassMark Memory Mark (composite) 1,784 2,416 0.75 10.00% 10.00% -2.80%
    Memory bandwidth (read, 16 MB ~ L3) 76,144 MB/sec 108,466 MB/sec 0.69 10.00% 10.00% -3.60%
    PassMark single-thread CPU 1,667 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
    10.2 GB/s
    Node GPU-to-host bandwidth
    11.0 GB/s
    Node host-to-GPU bandwidth
    10.2 GB/s
    Single GPU slot
    Per-GPU GPU-to-host bandwidth
    11.4 GB/s
    Per-GPU host-to-GPU bandwidth
    11.5 GB/s
    Per-GPU host-device latency
    990 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
    0.60

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 937

    Geekbench Multi-Core

    Score: 5,951

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    13,056
    Compression
    182,185
    Encryption
    5,482
    Extended Instructions
    12,037
    Floating Point Maths
    21,239
    Integer Maths
    39,562
    Physics
    1,274
    Prime Numbers
    72
    Single Threaded
    1,667
    String Sorting
    23,940

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    1,784
    Database Operations
    4,427
    Memory Latency
    76
    Memory Read Cached
    19,526
    Memory Read Uncached
    6,377
    Memory Write
    6,855

    Stress-ng Stressors

    CPU integerSingleMultiScaling
    atomic
    171.16 164.1 0.96×
    bitops
    100,529 886,828 8.82×
    branch
    122,498 1,487,356 12.14×
    funccall
    451.25 3,774 8.36×
    funcret
    9,117 106,710 11.70×
    hash
    103,856 1,227,968 11.82×
    intmath
    17,783 219,088 12.32×
    nop
    152,035 1,053,852 6.93×
    prime
    261,468 2,337,778 8.94×
    rotate
    76,819 778,153 10.13×
    str
    659,889 6,474,552 9.81×
    wcs
    425,332 3,625,421 8.52×
    CryptographySingleMultiScaling
    crypt
    1,938 15,141 7.81×
    CompressionSingleMultiScaling
    jpeg
    494.51 4,915 9.94×
    zlib
    36.59 530.9 14.51×
    HypervisorSingleMultiScaling
    clock
    15,244 158,953 10.43×
    clone
    365.59 2,747 7.51×
    context
    1,575 17,200 10.92×
    cpu-sched
    66.66 1,030 15.46×
    eventfd
    73,867 743,438 10.06×
    fault
    10,991 111,499 10.14×
    fork
    3,425 31,797 9.29×
    getrandom
    35,827 354,497 9.89×
    hrtimers
    290,756 1,531,366 5.27×
    mprotect
    920,893 2,018,647 2.19×
    mtx
    9,291,510 342,662,666 36.88×
    munmap
    2,407 24,481 10.17×
    null
    173,832 1,712,988 9.85×
    pipe
    815,686 4,180,088 5.12×
    priv-instr
    358,086 3,731,450 10.42×
    resched
    2,925,148 1,172,262 0.40×
    switch
    178,796 1,690,561 9.46×
    timermix
    350,040 3,842,210 10.98×
    tlb-shootdown
    9,474 31,874 3.36×
    tsc
    791,739 8,895,046 11.23×
    usersyscall
    250,537 2,621,993 10.47×
    vdso
    64,427,370 911,423,961 14.15×
    vfork
    27,127 165,880 6.11×
    x86syscall
    1,943,231 19,609,275 10.09×
    yield
    6,882,547 7,195,643 1.05×
    zero
    1,270,876 12,148,304 9.56×
    CPU float/SIMDSingleMultiScaling
    eigen
    12,889 133,943 10.39×
    expmath
    2,128 26,198 12.31×
    fma
    480,432 6,680,103 13.90×
    fp
    132 1,561 11.82×
    fractal
    4.2 49.2 11.71×
    hyperbolic
    2,210 27,976 12.66×
    logmath
    3,624 43,899 12.12×
    matrix
    2,401 31,031 12.92×
    matrix-3d
    558.18 2,779 4.98×
    monte-carlo
    86.27 1,009 11.70×
    mpfr
    969.48 8,423 8.69×
    powmath
    1,263 15,434 12.22×
    trig
    1,365 14,784 10.83×
    veccmp
    12,177 97,102 7.97×
    vecfp
    1,766 17,472 9.89×
    vecmath
    1,664 21,294 12.80×
    vecshuf
    746.18 6,437 8.63×
    vecwide
    45,044 425,687 9.45×
    AlgorithmsSingleMultiScaling
    bitonicsort
    5.8 54.2 9.34×
    bsearch
    197.65 1,789 9.05×
    bubblesort
    0.6 3.2 5.33×
    fibsearch
    223.31 2,270 10.17×
    heapsort
    6.6 64.4 9.76×
    hsearch
    3,972 40,376 10.17×
    insertionsort
    6.4 51.2 8.00×
    malloc
    1,723,674 21,001,946 12.18×
    mcontend
    105.48 2,784 26.39×
    mergesort
    21.2 220.79 10.41×
    qsort
    15 148.2 9.88×
    skiplist
    4,164 46,961 11.28×
    tree
    1.2 9.59 7.99×
    MemorySingleMultiScaling
    cache
    278,087 425,449 1.53×
    cachehammer
    249,282 3,529,267 14.16×
    cacheline
    32.76 551.31 16.83×
    l1cache
    180.29 1,557 8.63×
    memcpy
    303.38 2,452 8.08×
    memrate
    0.97 9.06 9.34×
    memthrash
    186.54 475.58 2.55×
    ptr-chase
    30,768,606 126,780,447 4.12×
    spinmem
    280.99 988.91 3.52×
    stream
    35.22 4,652 132.09×
    vm
    29,802 292,761 9.82×

    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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