ecs.gn6e-c12g1.12xlarge by Alibaba Cloud

ecs.gn6e-c12g1.12xlarge is a ecs.gn6e family (48 vCPUs, 368 GiB RAM, 0 GB storage, 4xV100 32768 GiB VRAM) server offered by Alibaba Cloud with 48 vCPUs, 368 GiB of memory and 0 GB of storage. The pricing starts at 3.9417 USD per hour.
48 vCPU
368 GiB Memory
4 GPU
Spare SCore
35,520
(All-cores)
1,110
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.gn6e-c12g1.12xlarge
Description
ecs.gn6e family (48 vCPUs, 368 GiB RAM, 0 GB storage, 4xV100 32768 GiB VRAM)
Family
ecs.gn6e
Hw Virt
Average Time To Start
17
Status
active
Observed At
2026-10-24T15:16:59.074843

Availability

REGION / IDSPOTONDEMAND
Virginia (US) / us-east-1
3.9417 USD/h 11.262 USD/h
Shenzhen (CN) / cn-shenzhen
4.2774 USD/h 12.221 USD/h
Beijing (CN) / cn-beijing
- 12.221 USD/h
Hangzhou (CN) / cn-hangzhou
- 12.221 USD/h
Shanghai (CN) / cn-shanghai
- 12.221 USD/h
Jakarta (ID) / ap-southeast-5
- 16.894 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
Scalability
66.67

System Resources and Accelerators

MEMORY
Memory Amount
368 GiB
Memory Amount Actual
368 GiB
ACCELERATORS
Accelerator Count
4
Accelerator Memory Min
32 GiB
Accelerator Memory Total
128 GiB
Accelerator Type
GPU
Accelerator Manufacturer
NVIDIA
Accelerator Family
Volta
Accelerator Model
V100
Accelerators
  • NVIDIA Volta Tesla V100-SXM2-32GB (Memory amount: 32768, BIOS version: 88.00.80.00.01, Clock rate: 1530)
  • NVIDIA Volta Tesla V100-SXM2-32GB (Memory amount: 32768, BIOS version: 88.00.80.00.01, Clock rate: 1530)
  • NVIDIA Volta Tesla V100-SXM2-32GB (Memory amount: 32768, BIOS version: 88.00.80.00.01, Clock rate: 1530)
  • NVIDIA Volta Tesla V100-SXM2-32GB (Memory amount: 32768, BIOS version: 88.00.80.00.01, Clock rate: 1530)
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

    GPU-accelerated instance with four NVIDIA V100 graphics processors, 48 vCPUs, and 368 GB RAM designed for parallel computational workloads.

    GPU AcceleratedCompute OptimizedMemory Optimized

    Alibaba Cloud ecs.gn6e-c12g1.12xlarge is a GPU-accelerated server instance built on 48 vCPUs from Intel Xeon Platinum 8163 processors running at 2.5 GHz with 368 GB of system memory. Hardware acceleration is driven by four NVIDIA Volta V100 GPUs equipped with an aggregate 128 GB of VRAM. The instance provides a 16 Gbps baseline network interface and relies entirely on network-attached storage. Benchmark evaluations indicate modest single-core execution alongside solid multi-core performance, achieving 35520.27 in multi-core stress-ng tests and 33.18 million Redis SET operations per second. Memory throughput reaches 1975.99 GB/sec for small cached blocks. By combining dedicated multi-core CPU capacity with four dedicated graphics processing units, this instance provides balanced hardware density suited for parallel computational tasks, artificial intelligence model training, multi-GPU inference pipelines, and scientific data processing.

    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) 3,502,049 ops/sec 1,919,289 ops/sec 1.8 50.00% 62.00% +44.00%
    Redis RPS (pipeline=16, SET) 20,243,762 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) 102,344 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% —

    Memory Bandwidth

    Compression

    OpenSSL

    Stress-ng Stressors

    CPU integerSingleMultiScaling
    atomic
    		 179.1 151.82 0.85×
    bitops
    		 100,345 2,653,728 26.45×
    branch
    		 122,499 4,461,030 36.42×
    funccall
    		 448.83 11,323 25.23×
    funcret
    		 9,125 319,595 35.02×
    hash
    		 103,910 3,690,614 35.52×
    intmath
    		 17,739 650,076 36.65×
    nop
    		 151,956 3,158,520 20.79×
    prime
    		 261,822 7,003,399 26.75×
    rotate
    		 76,640 2,340,247 30.54×
    str
    		 602,961 19,354,275 32.10×
    wcs
    		 427,445 11,065,094 25.89×
    CryptographySingleMultiScaling
    crypt
    		 1,938 45,462 23.45×
    CompressionSingleMultiScaling
    jpeg
    		 493.86 14,133 28.62×
    zlib
    		 45.9 1,615 35.19×
    HypervisorSingleMultiScaling
    clock
    		 14,454 254,582 17.61×
    clone
    		 358.66 7,252 20.22×
    context
    		 1,570 50,399 32.11×
    cpu-sched
    		 75.67 3,048 40.29×
    eventfd
    		 70,693 1,145,491 16.20×
    fault
    		 10,503 161,020 15.33×
    fork
    		 3,287 77,769 23.66×
    getrandom
    		 35,874 1,068,063 29.77×
    hrtimers
    		 181,034 2,636,425 14.56×
    mprotect
    		 965,470 5,772,044 5.98×
    mtx
    		 11,551,170 898,928,283 77.82×
    munmap
    		 2,365 60,461 25.56×
    null
    		 170,642 4,935,871 28.93×
    pipe
    		 806,805 9,824,191 12.18×
    priv-instr
    		 354,323 10,452,010 29.50×
    resched
    		 5,013,453 4,269,725 0.85×
    switch
    		 170,895 2,340,312 13.69×
    timermix
    		 341,909 10,812,892 31.63×
    tlb-shootdown
    		 9,582 61,990 6.47×
    tsc
    		 790,557 26,313,724 33.29×
    usersyscall
    		 248,337 7,499,834 30.20×
    vdso
    		 62,713,912 2,260,155,450 36.04×
    vfork
    		 23,875 97,942 4.10×
    x86syscall
    		 1,940,897 56,438,799 29.08×
    yield
    		 19,169,343 21,386,616 1.12×
    zero
    		 1,267,271 35,924,715 28.35×
    CPU float/SIMDSingleMultiScaling
    eigen
    		 12,934 400,111 30.94×
    expmath
    		 2,128 78,691 36.98×
    fma
    		 480,325 20,015,979 41.67×
    fp
    		 132 4,740 35.91×
    fractal
    		 4.2 147.25 35.06×
    hyperbolic
    		 2,207 83,896 38.01×
    logmath
    		 3,626 131,162 36.17×
    matrix
    		 2,396 92,822 38.74×
    matrix-3d
    		 567.73 4,041 7.12×
    monte-carlo
    		 86.29 2,758 31.96×
    mpfr
    		 968.32 25,297 26.12×
    powmath
    		 1,263 46,324 36.67×
    trig
    		 1,365 44,352 32.49×
    veccmp
    		 11,900 290,681 24.43×
    vecfp
    		 1,765 52,432 29.70×
    vecmath
    		 1,670 63,888 38.25×
    vecshuf
    		 745.4 19,340 25.95×
    vecwide
    		 44,938 1,260,259 28.04×
    AlgorithmsSingleMultiScaling
    bitonicsort
    		 5.6 153.4 27.39×
    bsearch
    		 198.52 5,459 27.50×
    bubblesort
    		 0.6 9.6 16.00×
    fibsearch
    		 221.17 6,819 30.83×
    heapsort
    		 6.8 196.19 28.85×
    hsearch
    		 3,977 117,602 29.57×
    insertionsort
    		 6.4 153.6 24.00×
    malloc
    		 1,680,455 43,650,390 25.98×
    mcontend
    		 101.69 10,519 103.44×
    mergesort
    		 21.2 648.77 30.60×
    qsort
    		 15 440.19 29.35×
    skiplist
    		 4,160 139,565 33.55×
    tree
    		 1.2 19.16 15.97×
    MemorySingleMultiScaling
    cache
    		 282,586 593,846 2.10×
    cachehammer
    		 248,755 9,419,241 37.87×
    cacheline
    		 23.36 2,080 89.04×
    l1cache
    		 180.13 4,601 25.54×
    memcpy
    		 303.73 7,367 24.26×
    memrate
    		 0.97 8.49 8.75×
    memthrash
    		 202.1 917.31 4.54×
    ptr-chase
    		 29,866,071 342,706,969 11.47×
    spinmem
    		 317.19 2,996 9.45×
    stream
    		 36.52 18,600 509.32×
    vm
    		 29,843 298,136 9.99×

    Stress-ng Raw Scores

    Stress-ng Relative Multicore Performance

    Static Web Server

    Redis

    Alternatives

    Servers of the Same Family

    INSTANCEvCPUsMEMORYAccelerators
    ecs.gn6e-c12g1.3xlarge 1292 GiB1
    ecs.gn6e-c12g1.24xlarge 96736 GiB8

    Similar Servers

    INSTANCEVENDORvCPUsMEMORYAccelerators

    ecs.gn6e-c12g1.12xlarge FAQs