logo

ecs.gn6i-c16g1.4xlarge by Alibaba Cloud

ecs.gn6i-c16g1.4xlarge is a ecs.gn6i family (16 vCPUs, 62 GiB RAM, 0 GB storage, 1xT4 16384.0 GiB VRAM) server offered by Alibaba Cloud with 16 vCPUs, 62 GiB of memory and 0 GB of storage. The pricing starts at 0.3048 USD per hour.
16 vCPU
62 GiB Memory
1 GPU
Spare SCore
11834
(All-cores)
1110
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.gn6i-c16g1.4xlarge
Description
ecs.gn6i family (16 vCPUs, 62 GiB RAM, 0 GB storage, 1xT4 16384.0 GiB VRAM)
Family
ecs.gn6i
Hw Virt
Status
active
Observed At
2026-07-25T14:37:56.240399

Availability

REGION / IDSPOTONDEMAND
Virginia (US) / us-east-1
0.5869 USD/h 1.677 USD/h
Jakarta (ID) / ap-southeast-5
0.65 USD/h 1.857 USD/h
Tokyo (JP) / ap-northeast-1
0.5682 USD/h 1.894 USD/h
Kuala Lumpur (MY) / ap-southeast-3
0.6825 USD/h 1.95 USD/h
Singapore (SG) / ap-southeast-1
- 1.99 USD/h
Chengdu (CN) / cn-chengdu
- 2.2856 USD/h
Ulanqab (CN) / cn-wulanchabu
- 2.286 USD/h
Riyadh (SA) / me-central-1
0.8358 USD/h 2.388 USD/h
Guangzhou (CN) / cn-guangzhou
- 2.539 USD/h
Nanjing (CN) / cn-nanjing
0.3048 USD/h 2.54 USD/h
Qingdao (CN) / cn-qingdao
0.762 USD/h 2.54 USD/h
Beijing (CN) / cn-beijing
- 2.54 USD/h
Hangzhou (CN) / cn-hangzhou
- 2.54 USD/h
Heyuan (CN) / cn-heyuan
- 2.54 USD/h
Shanghai (CN) / cn-shanghai
- 2.54 USD/h
Shenzhen (CN) / cn-shenzhen
- 2.54 USD/h

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
16
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
256 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
256 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
8 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
10.7
Scalability
66.88

System Resources and Accelerators

MEMORY
Memory Amount
62 GiB
Memory Amount Actual
62 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
    6 Gbps
    Inbound Traffic
    0 GB/month
    Outbound Traffic
    0 GB/month
    IPv4
    0

    CPU and System Topology

    Server Description

    An x86 GPU-accelerated instance featuring an NVIDIA T4 GPU and dedicated Intel Xeon processors for efficient machine learning inference.

    GPU AcceleratedGeneral Purpose

    Alibaba Cloud ecs.gn6i-c16g1.4xlarge is a GPU-accelerated instance featuring 16 dedicated Intel Xeon 8163 vCPUs running at 2.5 GHz, 62.0 GB of system memory, and a single NVIDIA T4 GPU with 16 GB of VRAM. Built on the KVM hypervisor with an x86_64 architecture, the instance does not include local storage and provides a baseline network bandwidth of 6 Gbps. Benchmark data reveals weak single-core CPU performance, but multi-core capabilities and memory bandwidth remain in the average tier. The instance excels in GPU-driven tasks, demonstrating top-tier prompt processing speeds for small and medium LLMs. This hardware profile makes the instance highly suitable for machine learning inference, video processing, and parallel computing workloads that benefit from GPU acceleration while maintaining a balanced resource-to-cost ratio.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    0.689Score
    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) 1,309,494 ops/sec 1,896,415 ops/sec 0.691 50.00% 50.00% -16.90%
    Redis RPS (pipeline=16, SET) 7,439,913 ops/sec 11,539,523 ops/sec 0.645 20.00% 20.00% -8.40%
    PassMark Memory Mark (composite) 1,784 2,411 0.74 10.00% 10.00% -2.97%
    Memory bandwidth (read, 16 MB ~ L3) 76,144 MB/sec 107,368 MB/sec 0.709 10.00% 10.00% -3.38%
    PassMark single-thread CPU 1,667 Mops/s 2,363 Mops/s 0.706 10.00% 10.00% -3.42%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 937

    Geekbench Multi-Core

    Score: 5,951

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 13056
    Compression
    		 182185
    Encryption
    		 5482
    Extended Instructions
    		 12037
    Floating Point Maths
    		 21239
    Integer Maths
    		 39562
    Physics
    		 1274
    Prime Numbers
    		 72
    Single Threaded
    		 1667
    String Sorting
    		 23940

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 1784
    Database Operations
    		 4427
    Memory Latency
    		 76
    Memory Read Cached
    		 19526
    Memory Read Uncached
    		 6377
    Memory Write
    		 6855

    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.gn6i-c4g1.xlarge 415 GiB1
    ecs.gn6i-c8g1.2xlarge 831 GiB1
    ecs.gn6i-c24g1.6xlarge 2493 GiB1
    ecs.gn6i-c40g1.10xlarge 40155 GiB1
    ecs.gn6i-c24g1.12xlarge 48186 GiB2
    ecs.gn6i-c24g1.24xlarge 96372 GiB4

    Similar Servers

    INSTANCEVENDORvCPUsMEMORYGPUs

    ecs.gn6i-c16g1.4xlarge FAQs