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ecs.gn6i-c24g1.6xlarge by Alibaba Cloud

ecs.gn6i-c24g1.6xlarge is a ecs.gn6i family (24 vCPUs, 93 GiB RAM, 0 GB storage, 1xT4 16384.0 GiB VRAM) server offered by Alibaba Cloud with 24 vCPUs, 93 GiB of memory and 0 GB of storage. The pricing starts at 0.3193 USD per hour.
24 vCPU
93 GiB Memory
1 GPU
Spare SCore
17719
(All-cores)
1107
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.gn6i-c24g1.6xlarge
Description
ecs.gn6i family (24 vCPUs, 93 GiB RAM, 0 GB storage, 1xT4 16384.0 GiB VRAM)
Family
ecs.gn6i
Hw Virt
Status
active
Observed At
2026-07-25T19:47:22.738377

Availability

REGION / IDSPOTONDEMAND
Virginia (US) / us-east-1
0.7455 USD/h 2.13 USD/h
Jakarta (ID) / ap-southeast-5
0.8148 USD/h 2.328 USD/h
Tokyo (JP) / ap-northeast-1
0.7104 USD/h 2.368 USD/h
Ulanqab (CN) / cn-wulanchabu
0.8379 USD/h 2.394 USD/h
Chengdu (CN) / cn-chengdu
0.838 USD/h 2.3942 USD/h
Kuala Lumpur (MY) / ap-southeast-3
0.8554 USD/h 2.444 USD/h
Singapore (SG) / ap-southeast-1
0.8729 USD/h 2.494 USD/h
Guangzhou (CN) / cn-guangzhou
- 2.66 USD/h
Nanjing (CN) / cn-nanjing
0.3193 USD/h 2.661 USD/h
Qingdao (CN) / cn-qingdao
0.79835 USD/h 2.661 USD/h
Beijing (CN) / cn-beijing
0.9314 USD/h 2.661 USD/h
Heyuan (CN) / cn-heyuan
0.9314 USD/h 2.661 USD/h
Hangzhou (CN) / cn-hangzhou
- 2.661 USD/h
Shanghai (CN) / cn-shanghai
- 2.661 USD/h
Shenzhen (CN) / cn-shenzhen
- 2.661 USD/h
Riyadh (SA) / me-central-1
1.0475 USD/h 2.9928 USD/h

Processor

vCPUs
24
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
24
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
384 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
384 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
12 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
16
Scalability
66.67

System Resources and Accelerators

MEMORY
Memory Amount
93 GiB
Memory Amount Actual
93 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: 90.04.38.00.03, Clock rate: 1590)
STORAGE
Storage Size
0 GB
Storages
    NETWORK
    Network Speed Baseline
    7.5 Gbps
    Inbound Traffic
    0 GB/month
    Outbound Traffic
    0 GB/month
    IPv4
    0

    CPU and System Topology

    Server Description

    An accelerator-equipped virtual machine delivering dedicated Intel Xeon processing and NVIDIA T4 GPU capabilities for parallel computing and machine learning inference.

    GPU AcceleratedGeneral Purpose

    Alibaba Cloud ecs.gn6i-c24g1.6xlarge is a GPU-accelerated virtual machine configured with 24 dedicated Intel Xeon 8163 CPU cores running at 2.5 GHz, 93.0 GB of system memory, and a single NVIDIA T4 GPU with 16 GB of VRAM. It operates on the x86_64 architecture under a KVM hypervisor and provides an 8 Gbps baseline network bandwidth, though it lacks local storage. Benchmark data shows weak single-core CPU performance but average multi-core and memory bandwidth capabilities. The server excels in GPU-driven tasks, demonstrating top-tier performance in prompt processing for small and medium language models. This hardware profile makes the instance highly suitable for machine learning inference, ray tracing, and moderate parallel computing workloads where GPU acceleration offsets the lower single-core CPU speeds.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    0.927Score
    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) 1,941,187 ops/sec 1,896,415 ops/sec 1.02 50.00% 50.00% +0.99%
    Redis RPS (pipeline=16, SET) 10,638,618 ops/sec 11,539,523 ops/sec 0.922 20.00% 20.00% -1.61%
    PassMark Memory Mark (composite) 1,832 2,411 0.76 10.00% 10.00% -2.71%
    Memory bandwidth (read, 16 MB ~ L3) 98,382 MB/sec 107,368 MB/sec 0.916 10.00% 10.00% -0.87%
    PassMark single-thread CPU 1,661 Mops/s 2,363 Mops/s 0.703 10.00% 10.00% -3.46%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 935

    Geekbench Multi-Core

    Score: 7,397

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 18302
    Compression
    		 270594
    Encryption
    		 8194
    Extended Instructions
    		 18000
    Floating Point Maths
    		 31790
    Integer Maths
    		 59269
    Physics
    		 1771
    Prime Numbers
    		 90
    Single Threaded
    		 1661
    String Sorting
    		 35254

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 1832
    Database Operations
    		 6496
    Memory Latency
    		 78
    Memory Read Cached
    		 19430
    Memory Read Uncached
    		 6635
    Memory Write
    		 7142

    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
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    ecs.gn6i-c16g1.4xlarge 1662 GiB1
    ecs.gn6i-c40g1.10xlarge 40155 GiB1
    ecs.gn6i-c24g1.12xlarge 48186 GiB2
    ecs.gn6i-c24g1.24xlarge 96372 GiB4

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    ecs.gn6i-c24g1.6xlarge FAQs