ecs.gn6i-c4g1.xlarge by Alibaba Cloud

ecs.gn6i-c4g1.xlarge is a ecs.gn6i family (4 vCPUs, 15 GiB RAM, 0 GB storage, 1xT4 16384 GiB VRAM) server offered by Alibaba Cloud with 4 vCPUs, 15 GiB of memory and 0 GB of storage. The pricing starts at 0.1804 USD per hour.
4 vCPU
15 GiB Memory
1 GPU
Spare SCore
2,951
(All-cores)
1,110
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.gn6i-c4g1.xlarge
Description
ecs.gn6i family (4 vCPUs, 15 GiB RAM, 0 GB storage, 1xT4 16384 GiB VRAM)
Family
ecs.gn6i
Hw Virt
Status
active
Observed At
2026-10-06T14:31:55.395208

Availability

REGION / IDSPOTONDEMAND
Virginia (US) / us-east-1
0.3913 USD/h 1.118 USD/h
Hong Kong (HK) / cn-hongkong
- 1.132 USD/h
Silicon Valley (US) / us-west-1
0.4032 USD/h 1.152 USD/h
Jakarta (ID) / ap-southeast-5
- 1.192 USD/h
Tokyo (JP) / ap-northeast-1
0.3007 USD/h 1.203 USD/h
Kuala Lumpur (MY) / ap-southeast-3
0.4382 USD/h 1.252 USD/h
Singapore (SG) / ap-southeast-1
0.447 USD/h 1.277 USD/h
Ulanqab (CN) / cn-wulanchabu
- 1.619 USD/h
Chengdu (CN) / cn-chengdu
0.5667 USD/h 1.6192 USD/h
Guangzhou (CN) / cn-guangzhou
0.6297 USD/h 1.799 USD/h
Qingdao (CN) / cn-qingdao
0.54 USD/h 1.8 USD/h
Hangzhou (CN) / cn-hangzhou
0.63 USD/h 1.8 USD/h
Shanghai (CN) / cn-shanghai
0.63 USD/h 1.8 USD/h
Beijing (CN) / cn-beijing
- 1.8 USD/h
Heyuan (CN) / cn-heyuan
- 1.8 USD/h
Shenzhen (CN) / cn-shenzhen
- 1.8 USD/h

Processor

vCPUs
4
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
2
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
64 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
64 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
2 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, 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, pti, fsgsbase, tsc_adjust, bmi1, avx2, smep, bmi2, erms, invpcid, avx512f, avx512dq, rdseed, adx, smap, clflushopt, clwb, avx512cd, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, arat
Ecpus
2.7
Scalability
67.5

System Resources and Accelerators

MEMORY
Memory Amount
15 GiB
Memory Amount Actual
15 GiB
GPU
GPU Count
1
GPU Memory Min
16 GiB
GPU Memory Total
16 GiB
GPU Manufacturer
NVIDIA
GPU Family
Turing
GPU Model
T4
GPUs
  • NVIDIA Turing Tesla T4 (Memory amount: 16384, Firmware version: 590.48.01, BIOS version: 90.04.38.00.03, Clock rate: 1590)
STORAGE
Storage Size
0 GB
Storages
    NETWORK
    Network Speed Baseline
    4 Gbps
    Inbound Traffic
    0 GB/month
    Outbound Traffic
    0 GB/month
    IPv4
    0

    CPU and System Topology

    Server Description

    An entry-level GPU-accelerated instance pairing a dedicated graphics processor with modest CPU resources for cost-effective machine learning inference.

    GPU AcceleratedGeneral Purpose

    Alibaba Cloud ecs.gn6i-c4g1.xlarge is a KVM-based virtual machine featuring 4 dedicated vCPUs from an Intel Xeon 8163 processor running at 2.5 GHz, paired with 15.0 GB of system memory. The server includes a single NVIDIA T4 GPU with 16 GB of VRAM, but lacks local storage and provides a baseline network bandwidth of 4 Gbps. Performance benchmarks indicate a significant tradeoff: while general CPU and memory throughput fall into the bottom 25% or lower, the GPU accelerator delivers top-tier performance in LLM inference, processing 1167.65 tokens/sec on a medium 7B model. This hardware profile offers a cost-effective entry point for GPU-accelerated tasks. It is best suited for lightweight machine learning inference, small-scale model deployment, and basic parallel processing workloads, rather than CPU-intensive or high-throughput database applications.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    0.23Score
    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) 327,092 ops/sec 1,916,704 ops/sec 0.17 50.00% 50.00% -59.00%
    Redis RPS (pipeline=16, SET) 1,962,948 ops/sec 11,642,227 ops/sec 0.17 20.00% 20.00% -30.00%
    PassMark Memory Mark (composite) 1,266 2,417 0.54 10.00% 10.00% -6.00%
    Memory bandwidth (read, 16 MB ~ L3) 28,222 MB/sec 108,361 MB/sec 0.25 10.00% 10.00% -13.00%
    PassMark single-thread CPU 1,670 Mops/s 2,365 Mops/s 0.71 10.00% 10.00% -3.40%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 933

    Geekbench Multi-Core

    Score: 2,077

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 3647
    Compression
    		 46128
    Encryption
    		 1367
    Extended Instructions
    		 2898
    Floating Point Maths
    		 5299
    Integer Maths
    		 9853
    Physics
    		 476
    Prime Numbers
    		 27
    Single Threaded
    		 1670
    String Sorting
    		 6094

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 1266
    Database Operations
    		 1125
    Memory Latency
    		 77
    Memory Read Cached
    		 19568
    Memory Read Uncached
    		 6672
    Memory Write
    		 7013

    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
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    ecs.gn6i-c40g1.10xlarge 40155 GiB1
    ecs.gn6i-c24g1.12xlarge 48186 GiB2
    ecs.gn6i-c24g1.24xlarge 96372 GiB4

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    ecs.gn6i-c4g1.xlarge FAQs