ecs.gn6i-c24g1.12xlarge by Alibaba Cloud

ecs.gn6i-c24g1.12xlarge is a ecs.gn6i family (48 vCPUs, 186 GiB RAM, 0 GB storage, 2xT4 16384 GiB VRAM) server offered by Alibaba Cloud with 48 vCPUs, 186 GiB of memory and 0 GB of storage. The pricing starts at 1.4917 USD per hour.
48 vCPU
186 GiB Memory
2 GPU
Spare SCore
35,394
(All-cores)
1,104
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.gn6i-c24g1.12xlarge
Description
ecs.gn6i family (48 vCPUs, 186 GiB RAM, 0 GB storage, 2xT4 16384 GiB VRAM)
Family
ecs.gn6i
Hw Virt
Average Time To Start
15
Status
active
Observed At
2026-10-25T04:30:56.339297

Availability

REGION / IDSPOTONDEMAND
Virginia (US) / us-east-1
1.4917 USD/h 4.262 USD/h
Hong Kong (HK) / cn-hongkong
- 4.424 USD/h
Tokyo (JP) / ap-northeast-1
1.6576 USD/h 4.736 USD/h
Chengdu (CN) / cn-chengdu
1.6759 USD/h 4.7884 USD/h
Kuala Lumpur (MY) / ap-southeast-3
1.7115 USD/h 4.89 USD/h
Singapore (SG) / ap-southeast-1
1.7465 USD/h 4.99 USD/h
Guangzhou (CN) / cn-guangzhou
1.862 USD/h 5.32 USD/h
Qingdao (CN) / cn-qingdao
1.8623 USD/h 5.321 USD/h
Beijing (CN) / cn-beijing
- 5.321 USD/h
Hangzhou (CN) / cn-hangzhou
- 5.321 USD/h
Shenzhen (CN) / cn-shenzhen
- 5.321 USD/h

Processor

vCPUs
48
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
24
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
768 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
768 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
24 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
32.1
Scalability
66.88

System Resources and Accelerators

MEMORY
Memory Amount
186 GiB
Memory Amount Actual
186 GiB
ACCELERATORS
Accelerator Count
2
Accelerator Memory Min
16 GiB
Accelerator Memory Total
32 GiB
Accelerator Type
GPU
Accelerator Manufacturer
NVIDIA
Accelerator Family
Turing
Accelerator Model
T4
Accelerators
  • NVIDIA Turing Tesla T4 (Memory amount: 15360, Firmware version: 595.71.05, BIOS version: 90.04.B4.00.04, Clock rate: 1590)
  • NVIDIA Turing Tesla T4 (Memory amount: 15360, Firmware version: 595.71.05, BIOS version: 90.04.38.00.03, Clock rate: 1590)
STORAGE
Storage Size
0 GB
Storages
    NETWORK
    Network Speed Baseline
    15 Gbps
    Inbound Traffic
    0 GB/month
    Outbound Traffic
    0 GB/month
    IPv4
    0

    CPU and System Topology

    Server Description

    A dual-GPU accelerated instance featuring Intel Xeon processors and NVIDIA T4 hardware for cost-effective parallel computing and machine learning inference.

    GPU AcceleratedCompute Optimized

    Alibaba Cloud ecs.gn6i-c24g1.12xlarge is a GPU-accelerated instance designed for parallel computing and machine learning workloads. Powered by an Intel Xeon 8163 processor, it features 48 vCPUs, 186.0 GB of RAM, and two NVIDIA T4 GPUs providing a total of 32 GB of VRAM. The instance does not include local storage, relying instead on network-attached options, and delivers a 15 Gbps baseline network bandwidth. Benchmarks indicate modest single-core CPU performance, but multi-core operations and memory bandwidth perform at average levels, with a stress-ng multi-core score of 35393.62. This configuration offers a cost-effective entry point for GPU acceleration, making it highly suitable for workloads such as AI inference, video transcoding, and multi-threaded data processing where massive parallelization is required.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    1.6Score
    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.Partial coverage: missing component benchmark(s): PassMark Memory Mark (composite), PassMark single-thread CPU.
    Component Score Weight Impact
    Raw Reference Normalized Target Actual
    Redis RPS (pipeline=1, SET) 3,430,317 ops/sec 1,919,289 ops/sec 1.8 50.00% 62.00% +44.00%
    Redis RPS (pipeline=16, SET) 20,113,006 ops/sec 11,728,058 ops/sec 1.7 20.00% 25.00% +14.00%
    PassMark Memory Mark (composite) — 2,416 — 10.00% 0.00% —
    Memory bandwidth (read, 16 MB ~ L3) 101,831 MB/sec 108,466 MB/sec 0.91 10.00% 13.00% -1.20%
    PassMark single-thread CPU — 2,365 Mops/s — 10.00% 0.00% —

    GPU Bandwidth and Latency

    Node (all GPUs)
    Node baseline directional bandwidth
    		11.1 GB/s
    Node GPU-to-host bandwidth
    		13.1 GB/s
    Node host-to-GPU bandwidth
    		12.4 GB/s
    Single GPU slot
    Per-GPU GPU-to-host bandwidth
    		12.2 GB/s
    Per-GPU host-to-GPU bandwidth
    		11.4 GB/s
    Per-GPU host-device latency
    		876 ns
    Benchmark Environment
    Driver Version
    		 595.71.05
    CUDA Runtime Version
    		 13.2
    nvbandwidth Version
    		 v0.8
    GPU Count
    		 2
    P2P Supported
    No
    Efficiency
    SM/CE copy efficiency
    		0.56

    Memory Bandwidth

    Compression

    OpenSSL

    Stress-ng Stressors

    CPU integerSingleMultiScaling
    atomic
    		 177.98 141.25 0.79×
    bitops
    		 99,982 2,645,467 26.46×
    branch
    		 121,921 4,449,845 36.50×
    funccall
    		 449.19 11,315 25.19×
    funcret
    		 9,219 317,796 34.47×
    hash
    		 103,533 3,665,858 35.41×
    intmath
    		 17,708 647,998 36.59×
    nop
    		 151,480 3,143,900 20.75×
    prime
    		 260,508 6,975,833 26.78×
    rotate
    		 76,501 2,331,808 30.48×
    str
    		 657,321 19,650,259 29.89×
    wcs
    		 411,979 11,109,855 26.97×
    CryptographySingleMultiScaling
    crypt
    		 1,931 45,272 23.44×
    CompressionSingleMultiScaling
    jpeg
    		 491.7 14,118 28.71×
    zlib
    		 35.78 1,528 42.72×
    HypervisorSingleMultiScaling
    clock
    		 14,323 258,173 18.02×
    clone
    		 356.19 6,725 18.88×
    context
    		 1,567 50,126 31.99×
    cpu-sched
    		 57.5 3,026 52.63×
    eventfd
    		 70,365 1,137,374 16.16×
    fault
    		 10,406 159,998 15.38×
    fork
    		 3,286 77,646 23.63×
    getrandom
    		 33,327 1,063,132 31.90×
    hrtimers
    		 191,737 2,584,732 13.48×
    mprotect
    		 953,770 5,768,606 6.05×
    mtx
    		 10,528,622 889,950,088 84.53×
    munmap
    		 2,337 59,896 25.63×
    null
    		 170,281 4,921,857 28.90×
    pipe
    		 769,970 10,741,787 13.95×
    priv-instr
    		 352,306 10,363,180 29.42×
    resched
    		 5,069,831 3,973,922 0.78×
    switch
    		 172,881 2,315,223 13.39×
    timermix
    		 338,294 10,793,553 31.91×
    tlb-shootdown
    		 9,197 61,091 6.64×
    tsc
    		 788,561 26,295,761 33.35×
    usersyscall
    		 247,001 7,520,515 30.45×
    vdso
    		 62,786,485 2,268,285,940 36.13×
    vfork
    		 23,998 97,641 4.07×
    x86syscall
    		 1,901,734 56,161,639 29.53×
    yield
    		 18,713,022 21,300,018 1.14×
    zero
    		 1,266,442 35,967,298 28.40×
    CPU float/SIMDSingleMultiScaling
    eigen
    		 12,895 399,953 31.02×
    expmath
    		 2,124 78,471 36.95×
    fma
    		 478,518 19,936,198 41.66×
    fp
    		 131.93 4,724 35.81×
    fractal
    		 4.2 146.66 34.92×
    hyperbolic
    		 2,212 83,459 37.74×
    logmath
    		 3,617 131,213 36.28×
    matrix
    		 2,390 92,431 38.68×
    matrix-3d
    		 567.94 3,851 6.78×
    monte-carlo
    		 86.03 2,692 31.30×
    mpfr
    		 969.47 25,215 26.01×
    powmath
    		 1,259 46,260 36.75×
    trig
    		 1,361 44,293 32.53×
    veccmp
    		 12,143 289,557 23.85×
    vecfp
    		 1,759 52,274 29.72×
    vecmath
    		 1,659 63,702 38.39×
    vecshuf
    		 744.48 19,301 25.93×
    vecwide
    		 44,775 1,268,505 28.33×
    AlgorithmsSingleMultiScaling
    bitonicsort
    		 5.6 153.4 27.39×
    bsearch
    		 193.82 5,401 27.87×
    bubblesort
    		 0.6 9.6 16.00×
    fibsearch
    		 222.29 6,753 30.38×
    heapsort
    		 6.6 193.19 29.27×
    hsearch
    		 3,977 116,878 29.39×
    insertionsort
    		 6.4 153.6 24.00×
    malloc
    		 1,685,817 42,724,698 25.34×
    mcontend
    		 92.87 7,870 84.74×
    mergesort
    		 21.2 641.96 30.28×
    qsort
    		 15 439.99 29.33×
    skiplist
    		 4,151 140,898 33.94×
    tree
    		 1.2 19.16 15.97×
    MemorySingleMultiScaling
    cache
    		 271,678 592,018 2.18×
    cachehammer
    		 247,953 9,233,567 37.24×
    cacheline
    		 20.57 2,095 101.86×
    l1cache
    		 179.64 4,582 25.51×
    memcpy
    		 302.63 7,344 24.27×
    memrate
    		 0.97 8.47 8.73×
    memthrash
    		 214.29 851.98 3.98×
    ptr-chase
    		 29,669,854 335,784,730 11.32×
    spinmem
    		 280.79 2,626 9.35×
    stream
    		 35.53 15,085 424.58×
    vm
    		 29,813 297,952 9.99×

    Stress-ng Raw Scores

    Stress-ng Relative Multicore Performance

    Static Web Server

    Redis

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