ecs.gn6e-c12g1.12xlarge by Alibaba Cloud

ecs.gn6e-c12g1.12xlarge is a ecs.gn6e family (48 vCPUs, 368 GiB RAM, 0 GB storage, 4xV100 32768 GiB VRAM) server offered by Alibaba Cloud with 48 vCPUs, 368 GiB of memory and 0 GB of storage. The pricing starts at 3.8493 USD per hour.
48 vCPU
368 GiB Memory
4 GPU
Spare SCore
35,520
(All-cores)
1,110
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.gn6e-c12g1.12xlarge
Description
ecs.gn6e family (48 vCPUs, 368 GiB RAM, 0 GB storage, 4xV100 32768 GiB VRAM)
Family
ecs.gn6e
Hw Virt
Average Time To Start
17
Status
active
Observed At
2026-10-06T14:31:55.399512

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
3.8493 USD/h 10.998 USD/h
Virginia (US) / us-east-1
3.9417 USD/h 11.262 USD/h
Beijing (CN) / cn-beijing
- 12.221 USD/h
Hangzhou (CN) / cn-hangzhou
- 12.221 USD/h
Shanghai (CN) / cn-shanghai
- 12.221 USD/h
Shenzhen (CN) / cn-shenzhen
- 12.221 USD/h
Singapore (SG) / ap-southeast-1
5.5976 USD/h 15.993 USD/h
Jakarta (ID) / ap-southeast-5
- 16.894 USD/h

Processor

vCPUs
48
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
768 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
768 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
24 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
32
Scalability
66.67

System Resources and Accelerators

MEMORY
Memory Amount
368 GiB
Memory Amount Actual
368 GiB
GPU
GPU Count
4
GPU Memory Min
32 GiB
GPU Memory Total
128 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)
  • NVIDIA Volta Tesla V100-SXM2-32GB (Memory amount: 32768, BIOS version: 88.00.80.00.01, Clock rate: 1530)
  • NVIDIA Volta Tesla V100-SXM2-32GB (Memory amount: 32768, BIOS version: 88.00.80.00.01, Clock rate: 1530)
  • 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
    16 Gbps
    Inbound Traffic
    0 GB/month
    Outbound Traffic
    0 GB/month
    IPv4
    0

    CPU and System Topology

    Server Description

    A quad-GPU accelerated platform featuring dedicated Intel Xeon processors and substantial memory for parallel computing and deep learning workloads.

    GPU AcceleratedMemory Optimized

    Alibaba Cloud ecs.gn6e-c12g1.12xlarge is a GPU-accelerated server featuring 48 vCPUs, 368.0 GB of RAM, and four NVIDIA Volta V100 GPUs with 128 GB of total VRAM. Built on the x86_64 architecture with an Intel Xeon 8163 processor, this instance provides dedicated CPU allocation but lacks local storage, utilizing a 16 Gbps baseline network bandwidth instead. Benchmark data indicates average multi-core CPU performance with a stress-ng score of 35520.27, alongside average memory bandwidth and multi-threaded decompression capabilities. Conversely, single-core performance is weak, as shown by a stress-ng single-core score of 1110.4. This hardware profile is qualitatively optimized for parallel processing and memory-intensive tasks rather than single-threaded execution. It is highly suited for deep learning, scientific simulations, and parallel data processing workloads that benefit from multi-GPU acceleration.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    1.6Score
    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.Partial coverage: missing component benchmark(s): PassMark Memory Mark (composite), PassMark single-thread CPU.
    Component Score Weight Impact
    Raw Reference Normalized Target Actual
    Redis RPS (pipeline=1, SET) 3,502,049 ops/sec 1,916,704 ops/sec 1.8 50.00% 62.00% +44.00%
    Redis RPS (pipeline=16, SET) 20,243,762 ops/sec 11,642,227 ops/sec 1.7 20.00% 25.00% +14.00%
    PassMark Memory Mark (composite) — 2,417 — 10.00% 0.00% —
    Memory bandwidth (read, 16 MB ~ L3) 102,344 MB/sec 108,361 MB/sec 0.91 10.00% 13.00% -1.20%
    PassMark single-thread CPU — 2,365 Mops/s — 10.00% 0.00% —

    Memory Bandwidth

    Compression

    OpenSSL

    Stress-ng Raw Scores

    Stress-ng Relative Multicore Performance

    Static Web Server

    Redis

    Alternatives

    Servers of the Same Family

    INSTANCEvCPUsMEMORYGPUs
    ecs.gn6e-c12g1.3xlarge 1292 GiB1
    ecs.gn6e-c12g1.24xlarge 96736 GiB8

    Similar Servers

    INSTANCEVENDORvCPUsMEMORYGPUs

    ecs.gn6e-c12g1.12xlarge FAQs