ecs.gn6e-c12g1.3xlarge by Alibaba Cloud

ecs.gn6e-c12g1.3xlarge is a ecs.gn6e family (12 vCPUs, 92 GiB RAM, 0 GB storage, 1xV100 32768.0 GiB VRAM) server offered by Alibaba Cloud with 12 vCPUs, 92 GiB of memory and 0 GB of storage. The pricing starts at 0.704 USD per hour.
12 vCPU
92 GiB Memory
1 GPU
Spare SCore
8,820
(All-cores)
1,105
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.gn6e-c12g1.3xlarge
Description
ecs.gn6e family (12 vCPUs, 92 GiB RAM, 0 GB storage, 1xV100 32768.0 GiB VRAM)
Family
ecs.gn6e
Hw Virt
Status
active
Observed At
2026-10-24T00:57:06.620188

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
- 2.75 USD/h
Virginia (US) / us-east-1
0.704 USD/h 2.816 USD/h
Beijing (CN) / cn-beijing
1.0693 USD/h 3.055 USD/h
Hangzhou (CN) / cn-hangzhou
- 3.055 USD/h
Shanghai (CN) / cn-shanghai
- 3.055 USD/h
Shenzhen (CN) / cn-shenzhen
- 3.055 USD/h
Singapore (SG) / ap-southeast-1
1.3993 USD/h 3.998 USD/h
Hong Kong (HK) / cn-hongkong
1.4781 USD/h 4.223 USD/h
Jakarta (ID) / ap-southeast-5
- 4.223 USD/h

Processor

vCPUs
12
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
6
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
192 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
192 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
6 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
8
Scalability
66.67

System Resources and Accelerators

MEMORY
Memory Amount
92 GiB
Memory Amount Actual
92 GiB
ACCELERATORS
Accelerator Count
1
Accelerator Memory Min
32 GiB
Accelerator Memory Total
32 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)
STORAGE
Storage Size
0 GB
Storages
    NETWORK
    Network Speed Baseline
    5 Gbps
    Inbound Traffic
    0 GB/month
    Outbound Traffic
    0 GB/month
    IPv4
    0

    CPU and System Topology

    Server Description

    A GPU-accelerated virtual machine featuring an NVIDIA V100 GPU and dedicated Intel processors for high-throughput parallel computing and AI inference.

    GPU AcceleratedMemory Optimized

    Alibaba Cloud ecs.gn6e-c12g1.3xlarge is a GPU-accelerated instance designed for parallel computing workloads. It features 12 dedicated vCPUs from an Intel Xeon 8163 processor running at 2.5 GHz, paired with 92.0 GB of system memory. The hardware configuration is highlighted by a single NVIDIA Volta V100 GPU with 32 GB of VRAM, while local storage is absent. Performance benchmarks indicate weak single-core CPU execution, but average multi-core and memory bandwidth capabilities. Crucially, the instance delivers top-tier performance in LLM inference tasks for small and medium models, leveraging its dedicated GPU. This profile makes the instance highly efficient for deep learning inference, scientific computing, and GPU-accelerated data processing, though it is less suited for single-threaded CPU-bound tasks or workloads requiring local high-speed storage.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    0.53Score
    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) 957,030 ops/sec 1,919,289 ops/sec 0.51 50.00% 50.00% -29.00%
    Redis RPS (pipeline=16, SET) 5,190,366 ops/sec 11,728,058 ops/sec 0.43 20.00% 20.00% -16.00%
    PassMark Memory Mark (composite) 1,749 2,416 0.71 10.00% 10.00% -3.40%
    Memory bandwidth (read, 16 MB ~ L3) 59,732 MB/sec 108,466 MB/sec 0.55 10.00% 10.00% -5.80%
    PassMark single-thread CPU 1,654 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
    		9.6 GB/s
    Node GPU-to-host bandwidth
    		11.0 GB/s
    Node host-to-GPU bandwidth
    		9.6 GB/s
    Single GPU slot
    Per-GPU GPU-to-host bandwidth
    		11.2 GB/s
    Per-GPU host-to-GPU bandwidth
    		10.1 GB/s
    Per-GPU host-device latency
    		1,132 ns
    Benchmark Environment
    Driver Version
    		 580.126.09
    CUDA Runtime Version
    		 13.0
    nvbandwidth Version
    		 v0.8
    GPU Count
    		 1
    P2P Supported
    No
    Efficiency
    SM/CE copy efficiency
    		0.67

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 897

    Geekbench Multi-Core

    Score: 4,736

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 9,968
    Compression
    		 136,104
    Encryption
    		 4,088
    Extended Instructions
    		 8,914
    Floating Point Maths
    		 15,838
    Integer Maths
    		 29,485
    Physics
    		 948
    Prime Numbers
    		 49
    Single Threaded
    		 1,654
    String Sorting
    		 17,990

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 1,749
    Database Operations
    		 3,252
    Memory Latency
    		 80
    Memory Read Cached
    		 19,417
    Memory Read Uncached
    		 6,538
    Memory Write
    		 7,179

    Stress-ng Stressors

    CPU integerSingleMultiScaling
    atomic
    		 177.95 183.49 1.03×
    bitops
    		 100,008 661,605 6.62×
    branch
    		 121,801 1,107,009 9.09×
    funccall
    		 447.11 2,813 6.29×
    funcret
    		 9,084 79,304 8.73×
    hash
    		 103,293 915,752 8.87×
    intmath
    		 18,559 162,837 8.77×
    nop
    		 151,307 785,971 5.19×
    prime
    		 260,369 1,741,269 6.69×
    rotate
    		 76,510 584,383 7.64×
    str
    		 652,073 4,835,464 7.42×
    wcs
    		 413,694 2,696,864 6.52×
    CryptographySingleMultiScaling
    crypt
    		 1,927 11,276 5.85×
    CompressionSingleMultiScaling
    jpeg
    		 472.87 3,674 7.77×
    zlib
    		 34.37 414.45 12.06×
    HypervisorSingleMultiScaling
    clock
    		 15,127 121,466 8.03×
    clone
    		 340.54 2,071 6.08×
    context
    		 1,563 12,797 8.19×
    cpu-sched
    		 59.62 776 13.02×
    eventfd
    		 72,482 554,190 7.65×
    fault
    		 10,614 83,330 7.85×
    fork
    		 3,329 26,428 7.94×
    getrandom
    		 35,625 265,149 7.44×
    hrtimers
    		 478,876 1,104,254 2.31×
    mprotect
    		 811,071 1,477,106 1.82×
    mtx
    		 9,800,662 268,397,199 27.39×
    munmap
    		 2,321 18,332 7.90×
    null
    		 169,654 1,275,397 7.52×
    pipe
    		 774,107 2,915,500 3.77×
    priv-instr
    		 353,019 2,776,780 7.87×
    resched
    		 2,186,931 881,973 0.40×
    switch
    		 173,957 1,257,798 7.23×
    timermix
    		 346,746 2,859,366 8.25×
    tlb-shootdown
    		 9,322 24,397 2.62×
    tsc
    		 788,093 6,638,619 8.42×
    usersyscall
    		 249,490 1,943,270 7.79×
    vdso
    		 62,399,357 658,535,324 10.55×
    vfork
    		 24,433 134,144 5.49×
    x86syscall
    		 1,937,066 14,636,052 7.56×
    yield
    		 5,405,971 5,404,681 1.00×
    zero
    		 1,285,182 9,047,100 7.04×
    CPU float/SIMDSingleMultiScaling
    eigen
    		 12,900 99,890 7.74×
    expmath
    		 2,118 19,570 9.24×
    fma
    		 477,582 4,941,708 10.35×
    fp
    		 131.76 1,160 8.81×
    fractal
    		 4.2 36.6 8.71×
    hyperbolic
    		 2,198 20,834 9.48×
    logmath
    		 3,608 32,684 9.06×
    matrix
    		 2,382 22,599 9.49×
    matrix-3d
    		 433.51 2,099 4.84×
    monte-carlo
    		 86.16 755.98 8.77×
    mpfr
    		 968.03 6,269 6.48×
    powmath
    		 1,256 11,528 9.18×
    trig
    		 1,354 11,025 8.14×
    veccmp
    		 12,103 72,335 5.98×
    vecfp
    		 1,756 13,066 7.44×
    vecmath
    		 1,657 15,868 9.58×
    vecshuf
    		 742.63 4,796 6.46×
    vecwide
    		 44,857 317,348 7.07×
    AlgorithmsSingleMultiScaling
    bitonicsort
    		 5.6 40.2 7.18×
    bsearch
    		 197.36 1,333 6.76×
    bubblesort
    		 0.6 2.4 4.00×
    fibsearch
    		 222.12 1,670 7.52×
    heapsort
    		 6.6 48 7.27×
    hsearch
    		 3,970 29,991 7.55×
    insertionsort
    		 6.4 38.4 6.00×
    malloc
    		 1,488,607 16,323,910 10.97×
    mcontend
    		 111.11 2,045 18.41×
    mergesort
    		 21.2 164.99 7.78×
    qsort
    		 15 110.2 7.35×
    skiplist
    		 4,151 35,226 8.49×
    tree
    		 1 4.8 4.80×
    MemorySingleMultiScaling
    cache
    		 206,080 351,052 1.70×
    cachehammer
    		 241,861 2,587,050 10.70×
    cacheline
    		 29.75 350.16 11.77×
    l1cache
    		 178.34 1,158 6.49×
    memcpy
    		 302.14 1,832 6.06×
    memrate
    		 0.97 6.83 7.04×
    memthrash
    		 125.41 368.3 2.94×
    ptr-chase
    		 10,017,073 89,739,198 8.96×
    spinmem
    		 278.59 730.82 2.62×
    stream
    		 31.47 2,746 87.24×
    vm
    		 29,799 291,867 9.79×

    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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