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ecs.gn7i-c56g1.14xlarge by Alibaba Cloud

ecs.gn7i-c56g1.14xlarge is a ecs.gn7i family (56 vCPUs, 346 GiB RAM, 0 GB storage, 1xA10 24576 GiB VRAM) server offered by Alibaba Cloud with 56 vCPUs, 346 GiB of memory and 0 GB of storage. The pricing starts at 0.5 USD per hour.
56 vCPU
346 GiB Memory
1 GPU
Spare SCore
54446
(All-cores)
1866
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.gn7i-c56g1.14xlarge
Description
ecs.gn7i family (56 vCPUs, 346 GiB RAM, 0 GB storage, 1xA10 24576 GiB VRAM)
Family
ecs.gn7i
Hw Virt
Status
active
Observed At
2026-07-26T00:47:34.425801

Availability

REGION / IDSPOTONDEMAND
Seoul (KR) / ap-northeast-2
0.9939 USD/h 2.8398 USD/h
Ulanqab (CN) / cn-wulanchabu
1.05 USD/h 3 USD/h
Guangzhou (CN) / cn-guangzhou
0.5 USD/h 3.333 USD/h
Heyuan (CN) / cn-heyuan
1.1665 USD/h 3.333 USD/h
Beijing (CN) / cn-beijing
- 3.333 USD/h
Chengdu (CN) / cn-chengdu
- 3.333 USD/h
Hangzhou (CN) / cn-hangzhou
- 3.333 USD/h
Shanghai (CN) / cn-shanghai
- 3.333 USD/h
Virginia (US) / us-east-1
1.39 USD/h 3.9715 USD/h
Hong Kong (HK) / cn-hongkong
- 4.3205 USD/h
Tokyo (JP) / ap-northeast-1
1.5446 USD/h 4.413 USD/h
Bangkok (TH) / ap-southeast-7
1.1251 USD/h 4.5005 USD/h
Singapore (SG) / ap-southeast-1
1.6581 USD/h 4.7374 USD/h
Frankfurt (DE) / eu-central-1
- 4.8506 USD/h

Processor

vCPUs
56
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
56
CPU Speed
2.9 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8369B
CPU L1D Cache
48 KiB
CPU L1D Cache Total
1 MiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
896 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
35 MiB
CPU L3 Cache
48 MiB
CPU L3 Cache Total
48 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, cpuid_fault, ibrs_enhanced, fsgsbase, tsc_adjust, bmi1, avx2, smep, bmi2, erms, invpcid, avx512f, avx512dq, rdseed, adx, smap, avx512ifma, clflushopt, clwb, avx512cd, sha_ni, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, wbnoinvd, arat, avx512vbmi, pku, ospke, avx512_vbmi2, gfni, vaes, vpclmulqdq, avx512_vnni, avx512_bitalg, avx512_vpopcntdq, rdpid, fsrm, arch_capabilities
Ecpus
29.2
Scalability
52.14

System Resources and Accelerators

MEMORY
Memory Amount
346 GiB
Memory Amount Actual
351 GiB
GPU
GPU Count
1
GPU Memory Min
24 GiB
GPU Memory Total
24 GiB
GPU Manufacturer
NVIDIA
GPU Family
Ampere
GPU Model
A10
GPUs
  • NVIDIA Ampere NVIDIA A10 (Memory amount: 23028, Firmware version: 595.71.05, BIOS version: 94.02.91.00.02, Clock rate: 1695)
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

    A dedicated multi-core processor platform featuring hardware acceleration for machine learning inference and intensive cryptographic workloads.

    GPU AcceleratedCompute OptimizedGeneral Purpose

    Alibaba Cloud ecs.gn7i-c56g1.14xlarge is an x86_64 server featuring 56 dedicated Intel Xeon 8369B CPU cores running at 2.9 GHz, paired with 346.0 GB of RAM and a single NVIDIA Ampere A10 GPU with 24 GB of VRAM. Lacking local storage, this instance relies on network-attached storage and features a 16 Gbps baseline network bandwidth. Performance benchmarks indicate strong capabilities in multi-threaded decompression, database operations, and cryptography, alongside top-tier results in LLM inference for small and medium models. The dedicated CPU allocation and GPU acceleration make this server highly efficient for specialized workloads such as machine learning inference, data processing, and cryptographic tasks, balancing high-density compute resources with specialized hardware acceleration.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    2.3Score
    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) 6,205,338 ops/sec 1,896,415 ops/sec 3.27 50.00% 50.00% +80.80%
    Redis RPS (pipeline=16, SET) 31,636,132 ops/sec 11,539,523 ops/sec 2.74 20.00% 20.00% +22.30%
    PassMark Memory Mark (composite) 2,744 2,411 1.14 10.00% 10.00% +1.32%
    Memory bandwidth (read, 16 MB ~ L3) 135,720 MB/sec 107,368 MB/sec 1.26 10.00% 10.00% +2.34%
    PassMark single-thread CPU 2,372 Mops/s 2,363 Mops/s 1 10.00% 10.00% 0.00%

    Memory Bandwidth

    Compression

    OpenSSL

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 51481
    Compression
    		 809136
    Encryption
    		 47417
    Extended Instructions
    		 45977
    Floating Point Maths
    		 120701
    Integer Maths
    		 236098
    Physics
    		 3278
    Prime Numbers
    		 235
    Single Threaded
    		 2372
    String Sorting
    		 106170

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 2744
    Database Operations
    		 22188
    Memory Latency
    		 54
    Memory Read Cached
    		 24021
    Memory Read Uncached
    		 11748
    Memory Write
    		 11249

    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

    INSTANCEvCPUsMEMORYGPUs
    ecs.gn7i-c8g1.2xlarge 830 GiB1
    ecs.gn7i-c16g1.4xlarge 1660 GiB1
    ecs.gn7i-c32g1.8xlarge 32188 GiB1
    ecs.gn7i-2x.8xlarge 32128 GiB2
    ecs.gn7i-4x.8xlarge 32128 GiB4
    ecs.gn7i-c48g1.12xlarge 48310 GiB1
    ecs.gn7i-c32g1.16xlarge 64376 GiB2

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    ecs.gn7i-c56g1.14xlarge FAQs