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ecs.gn6e-c12g1.24xlarge by Alibaba Cloud

ecs.gn6e-c12g1.24xlarge is a ecs.gn6e family (96 vCPUs, 736 GiB RAM, 0 GB storage, 8xV100 32768 GiB VRAM) server offered by Alibaba Cloud with 96 vCPUs, 736 GiB of memory and 0 GB of storage. The pricing starts at 5.4995 USD per hour.
96 vCPU
736 GiB Memory
8 GPU
Spare SCore
70675
(All-cores)
1104
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.gn6e-c12g1.24xlarge
Description
ecs.gn6e family (96 vCPUs, 736 GiB RAM, 0 GB storage, 8xV100 32768 GiB VRAM)
Family
ecs.gn6e
Hw Virt
Average Time To Start
36
Status
active
Observed At
2026-07-26T03:27:22.007786

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
5.4995 USD/h 21.998 USD/h
Virginia (US) / us-east-1
7.8838 USD/h 22.525 USD/h
Hangzhou (CN) / cn-hangzhou
- 24.442 USD/h
Shanghai (CN) / cn-shanghai
- 24.442 USD/h
Shenzhen (CN) / cn-shenzhen
- 24.442 USD/h
Singapore (SG) / ap-southeast-1
- 31.986 USD/h
Riyadh (SA) / me-central-1
9.5958 USD/h 38.3832 USD/h

Processor

vCPUs
96
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
96
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
2 MiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
2 MiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
48 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
64
Scalability
66.67

System Resources and Accelerators

MEMORY
Memory Amount
736 GiB
Memory Amount Actual
736 GiB
GPU
GPU Count
8
GPU Memory Min
32 GiB
GPU Memory Total
256 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)
  • 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
    32 Gbps
    Inbound Traffic
    0 GB/month
    Outbound Traffic
    0 GB/month
    IPv4
    0

    CPU and System Topology

    Server Description

    A high-density GPU server featuring eight NVIDIA V100 accelerators and ninety-six dedicated cores for massive parallel computing workloads.

    GPU AcceleratedMemory OptimizedCompute Optimized

    Alibaba Cloud ecs.gn6e-c12g1.24xlarge is an x86_64 GPU-accelerated server featuring 96 dedicated physical cores of an Intel Xeon 8163 processor running at 2.5 GHz, paired with 736.0 GB of system memory. It integrates eight NVIDIA Volta V100 GPUs with a total of 256 GB of VRAM. The server lacks local storage, relying on external storage solutions, and provides a 32 Gbps baseline network bandwidth. In performance benchmarks, the instance shows a clear tradeoff: single-core CPU performance is weak, scoring 1104.49 (bottom 25%), while multi-core CPU performance is strong at 70674.73 (top 25%). This hardware profile is designed for parallelized workloads such as deep learning, scientific computing, and GPU-accelerated data processing where aggregate multi-core and GPU throughput outweighs single-threaded speed.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    3.8Score
    Precomputed compound score for CI/CD Build 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% Geekbench Clang compilation (multi-core), 10% Geekbench Clang compilation (single-core), 20% stress-ng div16 best-N cores, 5% PassMark integer math, 5% PassMark compression, 5% Brotli compression (multi-core, level 0), 5% PassMark string sorting. Rationale for component selection: Build performance is mainly driven by multi-core compilation throughput, but also bundles single-core compilation speed and general CPU performance, multi-core compression and text/scripting processing.Partial coverage: missing component benchmark(s): Geekbench Clang compilation (multi-core), Geekbench Clang compilation (single-core), PassMark integer math, PassMark compression, Brotli compression (multi-core, level 0), PassMark string sorting.
    Component Score Weight Impact
    Raw Reference Normalized Target Actual
    Geekbench Clang compilation (multi-core) 17,180 50.00% 0.00%
    Geekbench Clang compilation (single-core) 1,682 10.00% 0.00%
    stress-ng div16 best-N cores 70,675 ops/s 18,614 ops/s 3.8 20.00% 100.00% +280.00%
    PassMark integer math 67,356 Mops/s 5.00% 0.00%
    PassMark compression 246,085 kB/s 5.00% 0.00%
    Brotli compression (multi-core, level 0) 218,883,353 Bps 5.00% 0.00%
    PassMark string sorting 37,580 Kstrings/s 5.00% 0.00%

    Stress-ng Raw Scores

    Stress-ng Relative Multicore Performance

    Alternatives

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    INSTANCEvCPUsMEMORYGPUs
    ecs.gn6e-c12g1.3xlarge 1292 GiB1
    ecs.gn6e-c12g1.12xlarge 48368 GiB4

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    ecs.gn6e-c12g1.24xlarge FAQs