ecs.gn7i-c16g1.4xlarge by Alibaba Cloud

ecs.gn7i-c16g1.4xlarge is a ecs.gn7i family (16 vCPUs, 60 GiB RAM, 0 GB storage, 1xA10 24576 GiB VRAM) server offered by Alibaba Cloud with 16 vCPUs, 60 GiB of memory and 0 GB of storage. The pricing starts at 0.2662 USD per hour.
16 vCPU
60 GiB Memory
1 GPU
Spare SCore
15,545
(All-cores)
1,849
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.gn7i-c16g1.4xlarge
Description
ecs.gn7i family (16 vCPUs, 60 GiB RAM, 0 GB storage, 1xA10 24576 GiB VRAM)
Family
ecs.gn7i
Hw Virt
Status
active
Observed At
2026-10-24T15:16:59.086464

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
0.4701 USD/h 1.343 USD/h
Ulanqab (CN) / cn-wulanchabu
- 1.343 USD/h
Guangzhou (CN) / cn-guangzhou
0.5223 USD/h 1.4923 USD/h
Beijing (CN) / cn-beijing
- 1.4923 USD/h
Hangzhou (CN) / cn-hangzhou
- 1.4923 USD/h
Shanghai (CN) / cn-shanghai
- 1.4923 USD/h
Shenzhen (CN) / cn-shenzhen
- 1.4923 USD/h
Seoul (KR) / ap-northeast-2
0.2662 USD/h 1.7748 USD/h
Virginia (US) / us-east-1
0.633 USD/h 2.4822 USD/h
Hong Kong (HK) / cn-hongkong
- 2.5281 USD/h
Tokyo (JP) / ap-northeast-1
0.9653 USD/h 2.758 USD/h
Singapore (SG) / ap-southeast-1
- 2.772 USD/h
Bangkok (TH) / ap-southeast-7
0.9845 USD/h 2.8128 USD/h
Frankfurt (DE) / eu-central-1
1.0611 USD/h 3.0317 USD/h

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
8
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
384 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
256 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
10 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
8.4
Scalability
52.5

System Resources and Accelerators

MEMORY
Memory Amount
60 GiB
Memory Amount Actual
61 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 server combining dedicated Intel Xeon processors with an NVIDIA Ampere A10 GPU for efficient machine learning inference.

    GPU AcceleratedGeneral Purpose

    Alibaba Cloud ecs.gn7i-c16g1.4xlarge is a GPU-accelerated instance featuring 16 dedicated vCPUs from an Intel Xeon 8369B processor running at 2.9 GHz, paired with 60.0 GB of system memory. Hardware acceleration is provided by a single NVIDIA Ampere A10 GPU with 24 GB of VRAM. While the instance lacks local storage, it delivers a baseline network bandwidth of 16 Gbps. In benchmark evaluations, the server exhibits average-tier performance for general CPU and memory tasks, but achieves top-tier results in LLM inference, processing 2480.56 tokens per second for a 7B model. This configuration represents a balanced hardware profile for workloads requiring dedicated GPU acceleration without excessive system memory overhead. It is suited for medium-scale machine learning inference, ray tracing, and image processing tasks.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    0.98Score
    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) 2,086,466 ops/sec 1,919,289 ops/sec 1.1 50.00% 50.00% +4.90%
    Redis RPS (pipeline=16, SET) 11,032,829 ops/sec 11,728,058 ops/sec 0.92 20.00% 20.00% -1.70%
    PassMark Memory Mark (composite) 2,511 2,416 1 10.00% 10.00% 0.00%
    Memory bandwidth (read, 16 MB ~ L3) 63,528 MB/sec 108,466 MB/sec 0.58 10.00% 10.00% -5.30%
    PassMark single-thread CPU 2,368 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
    		26.0 GB/s
    Node host-to-GPU bandwidth
    		24.4 GB/s
    Single GPU slot
    Per-GPU GPU-to-host bandwidth
    		26.1 GB/s
    Per-GPU host-to-GPU bandwidth
    		24.5 GB/s
    Per-GPU host-device latency
    		606 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: 1,584

    Geekbench Multi-Core

    Score: 9,350

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 21,026
    Compression
    		 245,899
    Encryption
    		 14,608
    Extended Instructions
    		 14,106
    Floating Point Maths
    		 34,486
    Integer Maths
    		 67,431
    Physics
    		 2,078
    Prime Numbers
    		 134
    Single Threaded
    		 2,368
    String Sorting
    		 34,530

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 2,511
    Database Operations
    		 7,633
    Memory Latency
    		 56
    Memory Read Cached
    		 24,345
    Memory Read Uncached
    		 10,654
    Memory Write
    		 10,935

    Stress-ng Stressors

    CPU integerSingleMultiScaling
    atomic
    		 286.47 321.49 1.12×
    bitops
    		 130,397 1,067,135 8.18×
    branch
    		 137,522 1,747,919 12.71×
    funccall
    		 636.32 5,207 8.18×
    funcret
    		 11,843 139,957 11.82×
    hash
    		 151,295 1,759,171 11.63×
    intmath
    		 61,354 611,795 9.97×
    nop
    		 190,296 1,332,398 7.00×
    prime
    		 394,440 3,420,172 8.67×
    rotate
    		 97,894 832,002 8.50×
    str
    		 901,628 7,634,371 8.47×
    wcs
    		 595,213 4,231,945 7.11×
    CryptographySingleMultiScaling
    crypt
    		 2,843 21,118 7.43×
    CompressionSingleMultiScaling
    jpeg
    		 721.58 7,288 10.10×
    zlib
    		 60.17 724.21 12.04×
    HypervisorSingleMultiScaling
    clock
    		 25,659 245,405 9.56×
    clone
    		 594.06 3,635 6.12×
    context
    		 4,841 58,235 12.03×
    cpu-sched
    		 67.78 1,024 15.11×
    eventfd
    		 114,552 1,271,543 11.10×
    fault
    		 18,447 166,728 9.04×
    fork
    		 5,834 53,176 9.11×
    getrandom
    		 51,198 473,661 9.25×
    hrtimers
    		 132,077 2,170,375 16.43×
    mprotect
    		 1,135,913 4,260,083 3.75×
    mtx
    		 10,047,592 547,020,701 54.44×
    munmap
    		 4,204 40,740 9.69×
    null
    		 791,861 7,899,658 9.98×
    pipe
    		 1,091,321 10,173,679 9.32×
    priv-instr
    		 825,124 8,229,322 9.97×
    resched
    		 7,741,472 2,492,136 0.32×
    switch
    		 190,258 2,837,743 14.92×
    timermix
    		 350,873 4,861,353 13.86×
    tlb-shootdown
    		 10,613 37,708 3.55×
    tsc
    		 769,946 9,118,664 11.84×
    usersyscall
    		 644,905 6,367,880 9.87×
    vdso
    		 112,612,486 1,020,314,048 9.06×
    vfork
    		 46,746 235,213 5.03×
    x86syscall
    		 9,128,254 99,269,470 10.87×
    yield
    		 13,411,655 14,237,723 1.06×
    zero
    		 4,638,944 44,060,788 9.50×
    CPU float/SIMDSingleMultiScaling
    eigen
    		 14,839 153,074 10.32×
    expmath
    		 2,893 34,013 11.76×
    fma
    		 661,391 9,224,869 13.95×
    fp
    		 192 1,641 8.55×
    fractal
    		 5 59.2 11.84×
    hyperbolic
    		 3,072 36,553 11.90×
    logmath
    		 4,859 56,436 11.62×
    matrix
    		 3,518 43,182 12.27×
    matrix-3d
    		 821.19 3,442 4.19×
    monte-carlo
    		 258.72 2,810 10.86×
    mpfr
    		 1,409 12,104 8.59×
    powmath
    		 1,690 20,208 11.96×
    trig
    		 1,969 20,090 10.20×
    veccmp
    		 20,304 157,634 7.76×
    vecfp
    		 1,530 14,948 9.77×
    vecmath
    		 3,236 37,567 11.61×
    vecshuf
    		 666.01 5,807 8.72×
    vecwide
    		 31,952 298,021 9.33×
    AlgorithmsSingleMultiScaling
    bitonicsort
    		 8 64.2 8.03×
    bsearch
    		 250.08 2,716 10.86×
    bubblesort
    		 1 6.4 6.40×
    fibsearch
    		 288.94 2,890 10.00×
    heapsort
    		 9.4 86.6 9.21×
    hsearch
    		 7,148 66,313 9.28×
    insertionsort
    		 10.6 51 4.81×
    malloc
    		 2,644,165 26,202,435 9.91×
    mcontend
    		 153.86 3,346 21.75×
    mergesort
    		 26.8 300.99 11.23×
    qsort
    		 20.8 173.6 8.35×
    skiplist
    		 5,458 64,989 11.91×
    tree
    		 1.6 12.79 7.99×
    MemorySingleMultiScaling
    cache
    		 439,859 781,388 1.78×
    cachehammer
    		 366,720 5,203,498 14.19×
    cacheline
    		 66.36 1,015 15.30×
    l1cache
    		 918.07 3,033 3.30×
    memcpy
    		 407.81 3,209 7.87×
    memrate
    		 1.78 9.31 5.23×
    memthrash
    		 241.06 624.15 2.59×
    ptr-chase
    		 34,251,694 170,059,835 4.97×
    spinmem
    		 353.19 973.51 2.76×
    stream
    		 40.42 3,606 89.22×
    vm
    		 113,569 293,955 2.59×

    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-c16g1.4xlarge FAQs