ecs.gn6i-c8g1.2xlarge by Alibaba Cloud

ecs.gn6i-c8g1.2xlarge is a ecs.gn6i family (8 vCPUs, 31 GiB RAM, 0 GB storage, 1xT4 16384.0 GiB VRAM) server offered by Alibaba Cloud with 8 vCPUs, 31 GiB of memory and 0 GB of storage. The pricing starts at 0.215 USD per hour.
8 vCPU
31 GiB Memory
1 GPU
Spare SCore
5,913
(All-cores)
1,110
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.gn6i-c8g1.2xlarge
Description
ecs.gn6i family (8 vCPUs, 31 GiB RAM, 0 GB storage, 1xT4 16384.0 GiB VRAM)
Family
ecs.gn6i
Hw Virt
Status
active
Observed At
2026-09-09T10:11:16.922991

Availability

REGION / IDSPOTONDEMAND
Virginia (US) / us-east-1
0.4561 USD/h 1.303 USD/h
Hong Kong (HK) / cn-hongkong
0.4701 USD/h 1.343 USD/h
Silicon Valley (US) / us-west-1
0.4704 USD/h 1.344 USD/h
Jakarta (ID) / ap-southeast-5
- 1.414 USD/h
Tokyo (JP) / ap-northeast-1
0.3583 USD/h 1.433 USD/h
Kuala Lumpur (MY) / ap-southeast-3
0.5194 USD/h 1.484 USD/h
Singapore (SG) / ap-southeast-1
- 1.515 USD/h
Riyadh (SA) / me-central-1
0.6363 USD/h 1.818 USD/h
Zhangjiakou (CN) / cn-zhangjiakou
0.6825 USD/h 1.95 USD/h
Ulanqab (CN) / cn-wulanchabu
- 1.95 USD/h
Chengdu (CN) / cn-chengdu
- 1.9503 USD/h
Nanjing (CN) / cn-nanjing
0.26 USD/h 2.167 USD/h
Qingdao (CN) / cn-qingdao
0.65005 USD/h 2.167 USD/h
Beijing (CN) / cn-beijing
0.7584 USD/h 2.167 USD/h
Guangzhou (CN) / cn-guangzhou
- 2.167 USD/h
Hangzhou (CN) / cn-hangzhou
- 2.167 USD/h
Heyuan (CN) / cn-heyuan
- 2.167 USD/h
Shanghai (CN) / cn-shanghai
- 2.167 USD/h
Shenzhen (CN) / cn-shenzhen
- 2.167 USD/h

Processor

vCPUs
8
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
8
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
128 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
128 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
4 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
5.3
Scalability
66.25

System Resources and Accelerators

MEMORY
Memory Amount
31 GiB
Memory Amount Actual
31 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: 15360, Firmware version: 590.48.01, BIOS version: 90.04.96.00.9F, Clock rate: 1590)
STORAGE
Storage Size
0 GB
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

    An entry-level GPU-accelerated instance combining dedicated Intel Xeon processors with an NVIDIA T4 GPU for efficient machine learning inference workloads.

    GPU AcceleratedGeneral Purpose

    Alibaba Cloud ecs.gn6i-c8g1.2xlarge is a GPU-accelerated instance featuring 8 dedicated Intel Xeon 8163 cores running at 2.5 GHz, 31.0 GB of RAM, and a single NVIDIA T4 GPU with 16 GB of VRAM. Built on the x86_64 architecture and KVM hypervisor, this instance lacks local storage and relies on a 5 Gbps baseline network bandwidth. Benchmark results indicate weak general-purpose CPU and memory performance, with stress-ng and Geekbench scores in the bottom 25%. However, the integrated Turing-architecture GPU excels at machine learning tasks, delivering top-tier prompt processing speeds of 1134.43 tokens per second on 7B LLM models and strong text generation performance. This qualitative balance makes the instance a cost-effective choice for GPU-accelerated workloads such as small-to-medium model inference and media processing, rather than CPU-bound or storage-heavy applications.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    0.395Score
    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) 655,186 ops/sec 1,917,397 ops/sec 0.342 50.00% 50.00% -41.50%
    Redis RPS (pipeline=16, SET) 3,806,136 ops/sec 11,681,410 ops/sec 0.326 20.00% 20.00% -20.10%
    PassMark Memory Mark (composite) 1,668 2,418 0.69 10.00% 10.00% -3.64%
    Memory bandwidth (read, 16 MB ~ L3) 41,882 MB/sec 108,140 MB/sec 0.387 10.00% 10.00% -9.06%
    PassMark single-thread CPU 1,670 Mops/s 2,365 Mops/s 0.706 10.00% 10.00% -3.42%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 935

    Geekbench Multi-Core

    Score: 3,617

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 7041
    Compression
    		 91387
    Encryption
    		 2737
    Extended Instructions
    		 5917
    Floating Point Maths
    		 10615
    Integer Maths
    		 19774
    Physics
    		 808
    Prime Numbers
    		 49
    Single Threaded
    		 1670
    String Sorting
    		 12186

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 1668
    Database Operations
    		 2207
    Memory Latency
    		 78
    Memory Read Cached
    		 19519
    Memory Read Uncached
    		 6842
    Memory Write
    		 7331

    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

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    INSTANCEvCPUsMEMORYGPUs
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    ecs.gn6i-c24g1.24xlarge 96372 GiB4

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    ecs.gn6i-c8g1.2xlarge FAQs