ecs.gn6v-c8g1.2xlarge by Alibaba Cloud

ecs.gn6v-c8g1.2xlarge is a ecs.gn6v family (8 vCPUs, 32 GiB RAM, 0 GB storage, 1xV100 16384.0 GiB VRAM) server offered by Alibaba Cloud with 8 vCPUs, 32 GiB of memory and 0 GB of storage. The pricing starts at 0.9446 USD per hour.
8 vCPU
32 GiB Memory
1 GPU
Spare SCore
5,896
(All-cores)
1,108
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.gn6v-c8g1.2xlarge
Description
ecs.gn6v family (8 vCPUs, 32 GiB RAM, 0 GB storage, 1xV100 16384.0 GiB VRAM)
Family
ecs.gn6v
Hw Virt
Status
active
Observed At
2026-10-24T00:57:06.614796

Availability

REGION / IDSPOTONDEMAND
Virginia (US) / us-east-1
0.9446 USD/h 2.699 USD/h
Qingdao (CN) / cn-qingdao
1.0237 USD/h 4.095 USD/h
Shanghai (CN) / cn-shanghai
1.0237 USD/h 4.095 USD/h
Beijing (CN) / cn-beijing
1.4332 USD/h 4.095 USD/h
Hangzhou (CN) / cn-hangzhou
- 4.095 USD/h
Shenzhen (CN) / cn-shenzhen
- 4.095 USD/h
Ulanqab (CN) / cn-wulanchabu
- 4.095 USD/h
Singapore (SG) / ap-southeast-1
- 4.509 USD/h

Processor

vCPUs
8
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
4
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
128 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
128 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
4 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, nonstop_tsc, cpuid, tsc_known_freq, pni, pclmulqdq, monitor, ssse3, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, tsc_deadline_timer, aes, f16c, rdrand, hypervisor, lahf_lm, abm, 3dnowprefetch, pti, ibrs, ibpb, stibp, fsgsbase, tsc_adjust, bmi1, hle, smep, bmi2, erms, invpcid, rtm, rdseed, adx, smap, arat
Ecpus
5.3
Scalability
66.25

System Resources and Accelerators

MEMORY
Memory Amount
32 GiB
Memory Amount Actual
32 GiB
ACCELERATORS
Accelerator Count
1
Accelerator Memory Min
16 GiB
Accelerator Memory Total
16 GiB
Accelerator Type
GPU
Accelerator Manufacturer
NVIDIA
Accelerator Family
Volta
Accelerator Model
V100
Accelerators
  • NVIDIA Volta Tesla V100-SXM2-16GB (Memory amount: 16384, BIOS version: 88.00.4F.00.09, Clock rate: 1530)
STORAGE
Storage Size
0 GB
Storages
    NETWORK
    Network Speed Baseline
    2.5 Gbps
    Inbound Traffic
    0 GB/month
    Outbound Traffic
    0 GB/month
    IPv4
    0

    CPU and System Topology

    Server Description

    A GPU-accelerated virtual server featuring a dedicated NVIDIA V100 GPU and 32 GB RAM for parallel computing workloads.

    GPU AcceleratedGeneral Purpose

    Alibaba Cloud ecs.gn6v-c8g1.2xlarge is a GPU-accelerated instance featuring an Intel Xeon 8163 processor with 8 dedicated vCPUs, 32.0 GB of RAM, and a single NVIDIA Volta V100 GPU with 16 GB of VRAM. Operating on the KVM hypervisor with an x86_64 architecture, the instance lacks local storage and provides a baseline network bandwidth of 2 Gbps. Benchmark results show weak CPU and memory read performance, with single-core and multi-core metrics falling in the bottom 25% or lower, and a lack of AVX or AVX512 instruction support. However, the dedicated V100 GPU provides hardware acceleration for parallel processing. This instance is best suited for GPU-centric workloads such as machine learning inference, legacy CUDA development, and parallel data processing where host CPU performance is not the primary bottleneck.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    0.33Score
    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) 483,832 ops/sec 1,919,289 ops/sec 0.25 50.00% 50.00% -50.00%
    Redis RPS (pipeline=16, SET) 3,429,466 ops/sec 11,728,058 ops/sec 0.28 20.00% 20.00% -22.00%
    PassMark Memory Mark (composite) 1,577 2,416 0.67 10.00% 10.00% -3.90%
    Memory bandwidth (read, 16 MB ~ L3) 41,227 MB/sec 108,466 MB/sec 0.37 10.00% 10.00% -9.50%
    PassMark single-thread CPU 1,741 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
    		12.0 GB/s
    Node host-to-GPU bandwidth
    		10.8 GB/s
    Single GPU slot
    Per-GPU GPU-to-host bandwidth
    		12.1 GB/s
    Per-GPU host-to-GPU bandwidth
    		11.0 GB/s
    Per-GPU host-device latency
    		1,057 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
    		0.76

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 604

    Geekbench Multi-Core

    Score: 2,324

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 6,137
    Compression
    		 92,010
    Encryption
    		 2,732
    Extended Instructions
    		 2,256
    Floating Point Maths
    		 12,128
    Integer Maths
    		 19,722
    Physics
    		 785
    Prime Numbers
    		 49
    Single Threaded
    		 1,741
    String Sorting
    		 12,423

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 1,577
    Database Operations
    		 2,092
    Memory Latency
    		 82
    Memory Read Cached
    		 19,541
    Memory Read Uncached
    		 6,034
    Memory Write
    		 6,742

    Stress-ng Stressors

    CPU float/SIMDSingleMultiScaling
    eigen
    		 12,931 67,337 5.21×
    monte-carlo
    		 31.87 182.1 5.71×
    mpfr
    		 966.03 4,184 4.33×
    CryptographySingleMultiScaling
    crypt
    		 1,915 7,494 3.91×
    CompressionSingleMultiScaling
    jpeg
    		 418.56 2,031 4.85×
    HypervisorSingleMultiScaling
    clock
    		 8,858 49,349 5.57×
    clone
    		 374.3 1,478 3.95×
    context
    		 555.19 3,221 5.80×
    cpu-sched
    		 66.73 518.12 7.76×
    eventfd
    		 48,273 233,304 4.83×
    fault
    		 8,640 48,018 5.56×
    fork
    		 2,734 15,749 5.76×
    getrandom
    		 32,295 164,720 5.10×
    hrtimers
    		 205,983 743,663 3.61×
    mprotect
    		 478,389 510,909 1.07×
    mtx
    		 13,352,109 138,672,230 10.39×
    munmap
    		 1,925 10,553 5.48×
    null
    		 52,872 300,769 5.69×
    pipe
    		 427,611 1,147,746 2.68×
    priv-instr
    		 157,385 910,460 5.78×
    resched
    		 754,005 388,351 0.52×
    switch
    		 445,304 621,037 1.39×
    timermix
    		 110,680 665,848 6.02×
    tlb-shootdown
    		 10,610 17,220 1.62×
    tsc
    		 790,557 4,437,615 5.61×
    usersyscall
    		 102,307 580,082 5.67×
    vdso
    		 64,350,405 454,661,063 7.07×
    vfork
    		 26,163 103,220 3.95×
    x86syscall
    		 574,847 3,263,968 5.68×
    yield
    		 1,842,639 1,866,875 1.01×
    zero
    		 503,848 2,898,981 5.75×
    CPU integerSingleMultiScaling
    atomic
    		 175.97 176.67 1.00×
    bitops
    		 100,210 443,071 4.42×
    branch
    		 122,272 740,814 6.06×
    funccall
    		 449.48 1,888 4.20×
    funcret
    		 9,146 52,785 5.77×
    hash
    		 103,689 614,216 5.92×
    nop
    		 151,843 525,589 3.46×
    prime
    		 261,116 1,166,290 4.47×
    rotate
    		 76,744 389,871 5.08×
    str
    		 448,330 2,018,442 4.50×
    wcs
    		 241,345 1,046,604 4.34×
    AlgorithmsSingleMultiScaling
    bitonicsort
    		 5.6 26.8 4.79×
    bsearch
    		 198.48 902.2 4.55×
    bubblesort
    		 0.6 1.6 2.67×
    fibsearch
    		 222.93 1,109 4.98×
    heapsort
    		 6.8 32.6 4.79×
    hsearch
    		 4,135 20,209 4.89×
    insertionsort
    		 6.4 25.6 4.00×
    malloc
    		 1,606,866 13,272,253 8.26×
    mcontend
    		 122.45 1,364 11.14×
    mergesort
    		 21.2 111.6 5.26×
    qsort
    		 15 73.4 4.89×
    skiplist
    		 4,148 23,213 5.60×
    MemorySingleMultiScaling
    cache
    		 244,436 425,567 1.74×
    cachehammer
    		 353,571 2,494,091 7.05×
    cacheline
    		 27.73 249.7 9.00×
    l1cache
    		 180.03 777.56 4.32×
    memcpy
    		 298.66 1,211 4.05×
    memthrash
    		 33.65 45.42 1.35×
    ptr-chase
    		 26,699,563 65,930,544 2.47×
    spinmem
    		 183.99 305.57 1.66×

    Stress-ng Raw Scores

    Stress-ng Relative Multicore Performance

    Static Web Server

    Redis

    Alternatives

    Servers of the Same Family

    INSTANCEvCPUsMEMORYAccelerators
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    ecs.gn6v-c8g1.16xlarge 64256 GiB8
    ecs.gn6v-c10g1.20xlarge 82336 GiB8

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    ecs.gn6v-c8g1.2xlarge FAQs