ecs.gn6v-c8g1.8xlarge by Alibaba Cloud

ecs.gn6v-c8g1.8xlarge is a ecs.gn6v family (32 vCPUs, 128 GiB RAM, 0 GB storage, 4xV100 16384.0 GiB VRAM) server offered by Alibaba Cloud with 32 vCPUs, 128 GiB of memory and 0 GB of storage. The pricing starts at 3.0964 USD per hour.
32 vCPU
128 GiB Memory
4 GPU
Spare SCore
23,576
(All-cores)
1,104
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.gn6v-c8g1.8xlarge
Description
ecs.gn6v family (32 vCPUs, 128 GiB RAM, 0 GB storage, 4xV100 16384.0 GiB VRAM)
Family
ecs.gn6v
Hw Virt
Status
active
Observed At
2026-10-24T00:57:06.614882

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
3.0964 USD/h 8.8467 USD/h
Virginia (US) / us-east-1
3.7786 USD/h 10.796 USD/h
Qingdao (CN) / cn-qingdao
5.733 USD/h 16.38 USD/h
Beijing (CN) / cn-beijing
- 16.38 USD/h
Hangzhou (CN) / cn-hangzhou
- 16.38 USD/h
Shanghai (CN) / cn-shanghai
- 16.38 USD/h
Shenzhen (CN) / cn-shenzhen
- 16.38 USD/h

Processor

vCPUs
32
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
16
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
512 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
512 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
16 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
21.4
Scalability
66.88

System Resources and Accelerators

MEMORY
Memory Amount
128 GiB
Memory Amount Actual
128 GiB
ACCELERATORS
Accelerator Count
4
Accelerator Memory Min
16 GiB
Accelerator Memory Total
64 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)
  • NVIDIA Volta Tesla V100-SXM2-16GB (Memory amount: 16384, BIOS version: 88.00.4F.00.09, Clock rate: 1530)
  • NVIDIA Volta Tesla V100-SXM2-16GB (Memory amount: 16384, BIOS version: 88.00.4F.00.09, Clock rate: 1530)
  • 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
    10 Gbps
    Inbound Traffic
    0 GB/month
    Outbound Traffic
    0 GB/month
    IPv4
    0

    CPU and System Topology

    Server Description

    A multi-GPU accelerated platform featuring four NVIDIA V100 graphics processors and dedicated Intel Xeon compute resources for parallel workloads.

    GPU AcceleratedCompute Optimized

    Alibaba Cloud ecs.gn6v-c8g1.8xlarge is a GPU-accelerated instance designed for parallel computing workloads. Powered by an Intel Xeon 8163 processor, it features 32 dedicated vCPUs, 128.0 GB of system memory, and a 10 Gbps baseline network bandwidth. The instance's primary capability comes from its four integrated NVIDIA Volta V100 GPUs, which provide a total of 64 GB of VRAM. It contains no local storage, requiring network-attached storage solutions. Performance benchmarks show average multi-core CPU capabilities alongside moderate memory bandwidth, while single-core performance remains weak. This hardware profile is qualitatively cost-efficient for legacy GPU-accelerated tasks, making it highly suitable for machine learning training, deep learning inference, and high-performance computing workloads that require multi-GPU configurations.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    1Score
    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) 1,909,466 ops/sec 1,919,289 ops/sec 1 50.00% 50.00% 0.00%
    Redis RPS (pipeline=16, SET) 13,530,634 ops/sec 11,728,058 ops/sec 1.2 20.00% 20.00% +3.70%
    PassMark Memory Mark (composite) 1,888 2,416 0.79 10.00% 10.00% -2.30%
    Memory bandwidth (read, 16 MB ~ L3) 129,070 MB/sec 108,466 MB/sec 1.2 10.00% 10.00% +1.80%
    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
    		19.6 GB/s
    Node GPU-to-host bandwidth
    		25.0 GB/s
    Node host-to-GPU bandwidth
    		24.7 GB/s
    Peer-to-peer
    GPU-to-GPU P2P duplex bandwidth
    		24.3 GB/s
    GPU-to-GPU P2P gather bandwidth
    		66.7 GB/s
    GPU-to-GPU P2P latency
    		395 ns
    GPU-to-GPU P2P bandwidth
    		36.4 GB/s
    Single GPU slot
    Per-GPU GPU-to-host bandwidth
    		11.4 GB/s
    Per-GPU host-to-GPU bandwidth
    		10.6 GB/s
    Per-GPU host-device latency
    		1,036 ns
    Benchmark Environment
    Driver Version
    		 580.126.20
    CUDA Runtime Version
    		 13.0
    nvbandwidth Version
    		 v0.8
    GPU Count
    		 12
    P2P Supported
    Yes
    Efficiency
    SM/CE copy efficiency
    		0.63

    Memory Bandwidth

    Compression

    OpenSSL

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 21,093
    Compression
    		 363,131
    Encryption
    		 10,928
    Extended Instructions
    		 9,124
    Floating Point Maths
    		 48,433
    Integer Maths
    		 78,760
    Physics
    		 2,505
    Prime Numbers
    		 142
    Single Threaded
    		 1,741
    String Sorting
    		 49,019

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 1,888
    Database Operations
    		 8,321
    Memory Latency
    		 77
    Memory Read Cached
    		 19,346
    Memory Read Uncached
    		 7,032
    Memory Write
    		 7,365

    Stress-ng Stressors

    CPU float/SIMDSingleMultiScaling
    eigen
    		 12,924 267,969 20.73×
    monte-carlo
    		 31.85 687.98 21.60×
    mpfr
    		 967.76 16,729 17.29×
    CryptographySingleMultiScaling
    crypt
    		 1,912 29,936 15.66×
    CompressionSingleMultiScaling
    jpeg
    		 397.58 7,683 19.32×
    HypervisorSingleMultiScaling
    clock
    		 8,545 122,333 14.32×
    clone
    		 243.02 4,419 18.18×
    context
    		 559.59 12,883 23.02×
    cpu-sched
    		 67.11 1,955 29.13×
    eventfd
    		 44,083 876,184 19.88×
    fault
    		 8,602 116,496 13.54×
    fork
    		 2,307 41,698 18.07×
    getrandom
    		 32,201 658,066 20.44×
    hrtimers
    		 147,374 2,544,480 17.27×
    mprotect
    		 539,559 1,995,051 3.70×
    mtx
    		 13,799,527 661,566,646 47.94×
    munmap
    		 1,624 31,140 19.18×
    null
    		 52,183 1,202,913 23.05×
    pipe
    		 281,320 3,938,389 14.00×
    priv-instr
    		 156,539 3,521,959 22.50×
    resched
    		 2,550,987 1,435,388 0.56×
    switch
    		 369,447 2,957,133 8.00×
    timermix
    		 110,175 2,624,831 23.82×
    tlb-shootdown
    		 11,093 43,264 3.90×
    tsc
    		 789,776 17,746,536 22.47×
    usersyscall
    		 102,307 2,298,832 22.47×
    vdso
    		 64,300,403 1,786,461,962 27.78×
    vfork
    		 22,311 86,546 3.88×
    x86syscall
    		 574,324 13,122,448 22.85×
    yield
    		 7,222,770 7,773,802 1.08×
    zero
    		 503,726 11,563,770 22.96×
    CPU integerSingleMultiScaling
    atomic
    		 108.95 129.31 1.19×
    bitops
    		 100,222 1,767,887 17.64×
    branch
    		 122,194 2,961,435 24.24×
    funccall
    		 449.78 7,546 16.78×
    funcret
    		 9,127 210,955 23.11×
    hash
    		 103,616 2,452,182 23.67×
    nop
    		 151,587 2,099,432 13.85×
    prime
    		 261,958 4,663,987 17.80×
    rotate
    		 76,632 1,556,745 20.31×
    str
    		 440,349 8,064,693 18.31×
    wcs
    		 241,075 4,171,463 17.30×
    AlgorithmsSingleMultiScaling
    bitonicsort
    		 5.6 106 18.93×
    bsearch
    		 193.64 3,622 18.70×
    bubblesort
    		 0.6 6.4 10.67×
    fibsearch
    		 222.65 4,490 20.17×
    heapsort
    		 6.6 130.2 19.73×
    hsearch
    		 4,132 80,541 19.49×
    insertionsort
    		 6.4 102.4 16.00×
    malloc
    		 1,620,244 23,568,550 14.55×
    mcontend
    		 61.42 6,414 104.43×
    mergesort
    		 21.2 441.98 20.85×
    qsort
    		 15 293.99 19.60×
    skiplist
    		 4,146 93,531 22.56×
    MemorySingleMultiScaling
    cache
    		 264,153 528,241 2.00×
    cachehammer
    		 366,600 8,990,755 24.52×
    cacheline
    		 16.36 1,325 81.00×
    l1cache
    		 160.46 3,089 19.25×
    memcpy
    		 298.59 4,824 16.16×
    memthrash
    		 31.49 30.04 0.95×
    ptr-chase
    		 29,808,125 243,735,732 8.18×
    spinmem
    		 182.59 1,194 6.54×

    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-c8g1.4xlarge 1664 GiB2
    ecs.gn6v-c8g1.16xlarge 64256 GiB8
    ecs.gn6v-c10g1.20xlarge 82336 GiB8

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    ecs.gn6v-c8g1.8xlarge FAQs