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ecs.gn7i-c16g1.4xlarge by Alibaba Cloud

ecs.gn7i-c16g1.4xlarge is a ecs.gn7i family (16 vCPUs, 60 GiB RAM, 0 GB storage, 1xA10 24576 GiB VRAM) server offered by Alibaba Cloud with 16 vCPUs, 60 GiB of memory and 0 GB of storage. The pricing starts at 0.5223 USD per hour.
16 vCPU
60 GiB Memory
1 GPU
Spare SCore
15545
(All-cores)
1849
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.gn7i-c16g1.4xlarge
Description
ecs.gn7i family (16 vCPUs, 60 GiB RAM, 0 GB storage, 1xA10 24576 GiB VRAM)
Family
ecs.gn7i
Hw Virt
Status
active
Observed At
2026-07-25T14:37:56.251688

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
- 1.343 USD/h
Ulanqab (CN) / cn-wulanchabu
- 1.343 USD/h
Shanghai (CN) / cn-shanghai
0.5223 USD/h 1.4923 USD/h
Beijing (CN) / cn-beijing
- 1.4923 USD/h
Chengdu (CN) / cn-chengdu
- 1.4923 USD/h
Guangzhou (CN) / cn-guangzhou
- 1.4923 USD/h
Hangzhou (CN) / cn-hangzhou
- 1.4923 USD/h
Shenzhen (CN) / cn-shenzhen
- 1.4923 USD/h
Seoul (KR) / ap-northeast-2
0.6212 USD/h 1.7748 USD/h
Virginia (US) / us-east-1
0.8688 USD/h 2.4822 USD/h
Hong Kong (HK) / cn-hongkong
- 2.5281 USD/h
Tokyo (JP) / ap-northeast-1
0.9653 USD/h 2.758 USD/h
Singapore (SG) / ap-southeast-1
0.9702 USD/h 2.772 USD/h
Bangkok (TH) / ap-southeast-7
0.7032 USD/h 2.8128 USD/h
Frankfurt (DE) / eu-central-1
- 3.0317 USD/h

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
16
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
384 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
256 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
10 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
8.4
Scalability
52.5

System Resources and Accelerators

MEMORY
Memory Amount
60 GiB
Memory Amount Actual
61 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: 590.48.01, 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

    Accelerate machine learning inference and graphics workloads with dedicated Intel Xeon processors and an NVIDIA Ampere A10 GPU.

    GPU AcceleratedCompute Optimized

    Alibaba Cloud ecs.gn7i-c16g1.4xlarge is a GPU-accelerated instance designed for compute-intensive and graphics-heavy workloads. It features 16 dedicated Intel Xeon 8369B vCPUs running at 2.9 GHz, 60.0 GB of RAM, and a single NVIDIA A10 GPU with 24 GB of VRAM. The instance does not include local storage, relying entirely on network-attached storage, and provides a baseline network bandwidth of 16 Gbps. Benchmark data highlights average-tier CPU performance, with a Geekbench multi-core score of 9350.0, but top-tier LLM inference capabilities, achieving 2480.56 tokens per second for prompt processing on a 7B model. This hardware configuration makes the instance highly efficient for small-to-medium machine learning inference, ray tracing, and image processing, balancing dedicated CPU power with Ampere-generation GPU acceleration.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    0.991Score
    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) 2,086,466 ops/sec 1,896,415 ops/sec 1.1 50.00% 50.00% +4.88%
    Redis RPS (pipeline=16, SET) 11,032,829 ops/sec 11,539,523 ops/sec 0.956 20.00% 20.00% -0.90%
    PassMark Memory Mark (composite) 2,511 2,411 1.04 10.00% 10.00% +0.39%
    Memory bandwidth (read, 16 MB ~ L3) 63,528 MB/sec 107,368 MB/sec 0.592 10.00% 10.00% -5.11%
    PassMark single-thread CPU 2,368 Mops/s 2,363 Mops/s 1 10.00% 10.00% 0.00%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 1,584

    Geekbench Multi-Core

    Score: 9,350

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 21026
    Compression
    		 245899
    Encryption
    		 14608
    Extended Instructions
    		 14106
    Floating Point Maths
    		 34486
    Integer Maths
    		 67431
    Physics
    		 2078
    Prime Numbers
    		 134
    Single Threaded
    		 2368
    String Sorting
    		 34530

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 2511
    Database Operations
    		 7633
    Memory Latency
    		 56
    Memory Read Cached
    		 24345
    Memory Read Uncached
    		 10654
    Memory Write
    		 10935

    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-c32g1.8xlarge 32188 GiB1
    ecs.gn7i-2x.8xlarge 32128 GiB2
    ecs.gn7i-4x.8xlarge 32128 GiB4
    ecs.gn7i-c48g1.12xlarge 48310 GiB1
    ecs.gn7i-c56g1.14xlarge 56346 GiB1
    ecs.gn7i-c32g1.16xlarge 64376 GiB2

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    ecs.gn7i-c16g1.4xlarge FAQs