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ecs.gn6e-c12g1.3xlarge by Alibaba Cloud

ecs.gn6e-c12g1.3xlarge is a ecs.gn6e family (12 vCPUs, 92 GiB RAM, 0 GB storage, 1xV100 32768.0 GiB VRAM) server offered by Alibaba Cloud with 12 vCPUs, 92 GiB of memory and 0 GB of storage. The pricing starts at 0.704 USD per hour.
12 vCPU
92 GiB Memory
1 GPU
Spare SCore
8820
(All-cores)
1105
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.gn6e-c12g1.3xlarge
Description
ecs.gn6e family (12 vCPUs, 92 GiB RAM, 0 GB storage, 1xV100 32768.0 GiB VRAM)
Family
ecs.gn6e
Hw Virt
Status
active
Observed At
2026-07-25T17:07:24.760584

Availability

REGION / IDSPOTONDEMAND
Zhangjiakou (CN) / cn-zhangjiakou
0.9625 USD/h 2.75 USD/h
Ulanqab (CN) / cn-wulanchabu
- 2.75 USD/h
Virginia (US) / us-east-1
0.704 USD/h 2.816 USD/h
Beijing (CN) / cn-beijing
1.0693 USD/h 3.055 USD/h
Hangzhou (CN) / cn-hangzhou
- 3.055 USD/h
Shanghai (CN) / cn-shanghai
- 3.055 USD/h
Shenzhen (CN) / cn-shenzhen
- 3.055 USD/h
Singapore (SG) / ap-southeast-1
1.3993 USD/h 3.998 USD/h
Jakarta (ID) / ap-southeast-5
- 4.223 USD/h
Hong Kong (HK) / cn-hongkong
- 4.223 USD/h
Riyadh (SA) / me-central-1
0.9595 USD/h 4.7976 USD/h

Processor

vCPUs
12
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
12
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
192 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
192 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
6 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
8
Scalability
66.67

System Resources and Accelerators

MEMORY
Memory Amount
92 GiB
Memory Amount Actual
92 GiB
GPU
GPU Count
1
GPU Memory Min
32 GiB
GPU Memory Total
32 GiB
GPU Manufacturer
NVIDIA
GPU Family
Volta
GPU Model
V100
GPUs
  • NVIDIA Volta Tesla V100-SXM2-32GB (Memory amount: 32768, BIOS version: 88.00.80.00.01, Clock rate: 1530)
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

    GPU-accelerated server featuring a dedicated NVIDIA Volta V100 GPU and 92 GB RAM for optimized machine learning inference workloads.

    GPU AcceleratedMemory Optimized

    Alibaba Cloud ecs.gn6e-c12g1.3xlarge is a GPU-accelerated instance utilizing the KVM hypervisor and x86_64 architecture. It is configured with 12 dedicated Intel Xeon 8163 physical cores running at 2.5 GHz, 92.0 GB of RAM, and a single NVIDIA Volta V100 GPU with 32 GB of VRAM. The instance does not feature local storage and provides a 5 Gbps baseline network bandwidth. Benchmark results show weak single-core CPU performance but average multi-core capabilities. Conversely, the hardware excels in machine learning tasks, delivering top-tier LLM inference speeds for medium-sized models. This profile makes the instance qualitatively cost-effective for GPU-dependent workloads, such as deep learning and model inference, while being less suited for CPU-bound or local storage-heavy applications.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    0.534Score
    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) 957,030 ops/sec 1,896,415 ops/sec 0.505 50.00% 50.00% -28.90%
    Redis RPS (pipeline=16, SET) 5,190,366 ops/sec 11,539,523 ops/sec 0.45 20.00% 20.00% -14.80%
    PassMark Memory Mark (composite) 1,749 2,411 0.726 10.00% 10.00% -3.15%
    Memory bandwidth (read, 16 MB ~ L3) 59,732 MB/sec 107,368 MB/sec 0.556 10.00% 10.00% -5.70%
    PassMark single-thread CPU 1,654 Mops/s 2,363 Mops/s 0.7 10.00% 10.00% -3.50%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 897

    Geekbench Multi-Core

    Score: 4,736

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 9968
    Compression
    		 136104
    Encryption
    		 4088
    Extended Instructions
    		 8914
    Floating Point Maths
    		 15838
    Integer Maths
    		 29485
    Physics
    		 948
    Prime Numbers
    		 49
    Single Threaded
    		 1654
    String Sorting
    		 17990

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 1749
    Database Operations
    		 3252
    Memory Latency
    		 80
    Memory Read Cached
    		 19417
    Memory Read Uncached
    		 6538
    Memory Write
    		 7179

    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.gn6e-c12g1.12xlarge 48368 GiB4
    ecs.gn6e-c12g1.24xlarge 96736 GiB8

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    ecs.gn6e-c12g1.3xlarge FAQs