ecs.gn5-c28g1.7xlarge by Alibaba Cloud

ecs.gn5-c28g1.7xlarge is a ecs.gn5 family (28 vCPUs, 112 GiB RAM, 472 GB ssd storage, 1xP100 16384 GiB VRAM) server offered by Alibaba Cloud with 28 vCPUs, 112 GiB of memory and 472 GB of storage. The pricing starts at 0.6954 USD per hour.
28 vCPU
112 GiB Memory
472 GB Storage
1 GPU
Spare SCore
16,691
(All-cores)
954
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.gn5-c28g1.7xlarge
Description
ecs.gn5 family (28 vCPUs, 112 GiB RAM, 472 GB ssd storage, 1xP100 16384 GiB VRAM)
Family
ecs.gn5
Hw Virt
Status
active
Observed At
2026-10-23T21:32:38.417073

Availability

REGION / IDSPOTONDEMAND
Virginia (US) / us-east-1
- 2.897 USD/h
Hong Kong (HK) / cn-hongkong
1.6035 USD/h 3.207 USD/h
Jakarta (ID) / ap-southeast-5
- 3.376 USD/h
Frankfurt (DE) / eu-central-1
0.6954 USD/h 3.477 USD/h
Shanghai (CN) / cn-shanghai
- 3.754 USD/h
Shenzhen (CN) / cn-shenzhen
- 3.754 USD/h

Processor

vCPUs
28
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
14
CPU Speed
2.5 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
E5-2682 v4
CPU L1D Cache
32 KiB
CPU L1D Cache Total
448 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
448 KiB
CPU L2 Cache
256 KiB
CPU L2 Cache Total
4 MiB
CPU L3 Cache
40 MiB
CPU L3 Cache Total
40 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, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, tsc_deadline_timer, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, abm, 3dnowprefetch, pti, ibrs, ibpb, stibp, fsgsbase, tsc_adjust, bmi1, hle, avx2, smep, bmi2, erms, invpcid, rtm, rdseed, adx, smap, xsaveopt, arat
Ecpus
17.5
Scalability
62.5

System Resources and Accelerators

MEMORY
Memory Amount
112 GiB
Memory Amount Actual
112 GiB
ACCELERATORS
Accelerator Count
1
Accelerator Memory Min
16 GiB
Accelerator Memory Total
16 GiB
Accelerator Type
GPU
Accelerator Manufacturer
NVIDIA
Accelerator Family
Pascal
Accelerator Model
P100
Accelerators
  • NVIDIA Pascal Tesla P100-PCIE-16GB (Memory amount: 16384, BIOS version: 86.00.41.00.06, Clock rate: 1328)
STORAGE
Storage Size
472 GB
Storage Type
ssd
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 instance combining dedicated Intel Xeon processors, local SSD storage, and an NVIDIA P100 GPU for parallel computing and inference workloads.

    GPU AcceleratedGeneral PurposeStorage & Database

    Alibaba Cloud ecs.gn5-c28g1.7xlarge is a GPU-accelerated instance from the ecs.gn5 family, featuring 28 dedicated vCPUs on an Intel Xeon E5-2682 v4 processor, 112 GB of RAM, and a 472 GB local SSD. It includes a single NVIDIA P100 GPU with 16 GB of VRAM and provides a 5 Gbps baseline network bandwidth. Performance benchmarks indicate weak single-core CPU capabilities, but average multi-core and memory bandwidth performance. Notably, the instance delivers top-tier results in LLM inference prompt processing and text generation for small to medium models. This hardware profile makes the instance highly suitable for GPU-accelerated workloads, machine learning inference, database operations, and multi-threaded data processing tasks that benefit from dedicated resources and local SSD storage.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    0.98Score
    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) 2,167,243 ops/sec 1,919,289 ops/sec 1.2 50.00% 50.00% +9.50%
    Redis RPS (pipeline=16, SET) 12,055,576 ops/sec 11,728,058 ops/sec 1 20.00% 20.00% 0.00%
    PassMark Memory Mark (composite) 1,938 2,416 0.79 10.00% 10.00% -2.30%
    Memory bandwidth (read, 16 MB ~ L3) 59,254 MB/sec 108,466 MB/sec 0.54 10.00% 10.00% -6.00%
    PassMark single-thread CPU 1,864 Mops/s 2,365 Mops/s 0.79 10.00% 10.00% -2.30%

    GPU Bandwidth and Latency

    Node (all GPUs)
    Node baseline directional bandwidth
    		11.0 GB/s
    Node GPU-to-host bandwidth
    		12.8 GB/s
    Node host-to-GPU bandwidth
    		11.0 GB/s
    Single GPU slot
    Per-GPU GPU-to-host bandwidth
    		12.9 GB/s
    Per-GPU host-to-GPU bandwidth
    		11.1 GB/s
    Per-GPU host-device latency
    		686 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
    		0.72

    Memory Bandwidth

    Compression

    OpenSSL

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 19,899
    Compression
    		 319,053
    Encryption
    		 7,109
    Extended Instructions
    		 15,215
    Floating Point Maths
    		 46,275
    Integer Maths
    		 73,343
    Physics
    		 1,534
    Prime Numbers
    		 93
    Single Threaded
    		 1,864
    String Sorting
    		 45,365

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 1,938
    Database Operations
    		 7,805
    Memory Latency
    		 69
    Memory Read Cached
    		 20,960
    Memory Read Uncached
    		 7,309
    Memory Write
    		 6,277

    Stress-ng Stressors

    CPU integerSingleMultiScaling
    atomic
    		 189.22 169.62 0.90×
    bitops
    		 101,506 1,527,496 15.05×
    branch
    		 132,316 2,733,195 20.66×
    funccall
    		 457.63 6,350 13.88×
    funcret
    		 8,750 176,369 20.16×
    hash
    		 109,033 2,242,316 20.57×
    intmath
    		 18,583 383,749 20.65×
    nop
    		 154,735 1,904,679 12.31×
    prime
    		 266,604 4,006,899 15.03×
    rotate
    		 83,844 1,522,245 18.16×
    str
    		 578,620 9,135,141 15.79×
    wcs
    		 382,971 5,459,612 14.26×
    CryptographySingleMultiScaling
    crypt
    		 1,988 26,726 13.44×
    CompressionSingleMultiScaling
    jpeg
    		 442.35 7,375 16.67×
    zlib
    		 46.86 963.15 20.55×
    HypervisorSingleMultiScaling
    clock
    		 24,177 297,676 12.31×
    clone
    		 430.31 4,441 10.32×
    context
    		 2,662 61,033 22.92×
    cpu-sched
    		 69.9 1,820 26.03×
    eventfd
    		 30,605 480,216 15.69×
    fault
    		 8,332 149,306 17.92×
    fork
    		 3,377 46,752 13.84×
    getrandom
    		 38,564 625,017 16.21×
    hrtimers
    		 189,234 2,779,524 14.69×
    mprotect
    		 1,026,878 5,144,667 5.01×
    mtx
    		 7,073,926 650,964,646 92.02×
    munmap
    		 2,373 34,605 14.58×
    null
    		 311,429 6,937,160 22.28×
    pipe
    		 843,640 7,624,787 9.04×
    priv-instr
    		 530,144 10,442,899 19.70×
    resched
    		 5,426,288 2,599,021 0.48×
    switch
    		 64,332 3,391,258 52.72×
    timermix
    		 207,447 4,638,852 22.36×
    tlb-shootdown
    		 9,107 48,874 5.37×
    tsc
    		 872,013 22,557,077 25.87×
    usersyscall
    		 376,675 7,682,947 20.40×
    vdso
    		 74,977,166 1,462,250,337 19.50×
    vfork
    		 18,454 176,782 9.58×
    x86syscall
    		 3,687,423 82,929,701 22.49×
    yield
    		 16,584,573 18,181,538 1.10×
    zero
    		 1,900,126 35,694,263 18.79×
    CPU float/SIMDSingleMultiScaling
    eigen
    		 12,640 219,261 17.35×
    expmath
    		 2,193 43,685 19.92×
    fma
    		 485,399 10,579,833 21.80×
    fp
    		 108 1,894 17.54×
    fractal
    		 4.4 78.42 17.82×
    hyperbolic
    		 2,478 51,999 20.99×
    logmath
    		 3,918 78,662 20.08×
    matrix
    		 3,045 48,498 15.93×
    matrix-3d
    		 671.91 2,259 3.36×
    monte-carlo
    		 139.94 3,002 21.45×
    mpfr
    		 994.38 14,244 14.32×
    powmath
    		 1,337 26,538 19.85×
    trig
    		 1,567 24,018 15.33×
    veccmp
    		 12,006 171,740 14.30×
    vecfp
    		 722.93 12,585 17.41×
    vecmath
    		 1,884 39,018 20.71×
    vecshuf
    		 471.14 6,986 14.83×
    vecwide
    		 19,595 292,111 14.91×
    AlgorithmsSingleMultiScaling
    bitonicsort
    		 6 95.2 15.87×
    bsearch
    		 196.7 3,305 16.80×
    bubblesort
    		 0.6 5.6 9.33×
    fibsearch
    		 230.72 4,028 17.46×
    heapsort
    		 7 114.4 16.34×
    hsearch
    		 3,654 58,739 16.08×
    insertionsort
    		 6.6 94.8 14.36×
    malloc
    		 1,758,751 35,903,610 20.41×
    mcontend
    		 124.95 6,561 52.51×
    mergesort
    		 22.4 409.18 18.27×
    qsort
    		 15.8 262.19 16.59×
    skiplist
    		 5,028 93,624 18.62×
    tree
    		 1.2 11.19 9.32×
    MemorySingleMultiScaling
    cache
    		 238,257 512,440 2.15×
    cachehammer
    		 463,491 9,858,653 21.27×
    cacheline
    		 39.57 1,008 25.47×
    l1cache
    		 164.68 2,270 13.78×
    memcpy
    		 362.95 5,276 14.54×
    memrate
    		 0.98 5.24 5.35×
    memthrash
    		 114.21 534.94 4.68×
    ptr-chase
    		 34,694,600 217,588,384 6.27×
    spinmem
    		 219.99 1,127 5.12×
    stream
    		 31.31 4,263 136.15×
    vm
    		 52,121 295,560 5.67×

    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

    Alternatives

    Servers of the Same Family

    INSTANCEvCPUsMEMORYAccelerators
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    ecs.gn5-c8g1.8xlarge 32240 GiB4
    ecs.gn5-c8g1.14xlarge 54480 GiB8
    ecs.gn5-c28g1.14xlarge 56224 GiB2

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    ecs.gn5-c28g1.7xlarge FAQs