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 7.8838 USD per hour.
96 vCPU
736 GiB Memory
8 GPU
Spare SCore
70,675
(All-cores)
1,104
(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
2026-10-24T15:16:59.074122

Availability

REGION / IDSPOTONDEMAND
Virginia (US) / us-east-1
7.8838 USD/h 22.525 USD/h

Processor

vCPUs
96
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
48
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
ACCELERATORS
Accelerator Count
8
Accelerator Memory Min
32 GiB
Accelerator Memory Total
256 GiB
Accelerator Type
GPU
Accelerator Manufacturer
NVIDIA
Accelerator Family
Volta
Accelerator Model
V100
Accelerators
  • 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 combining eight accelerators and massive system memory for parallelized deep learning and scientific computing workloads.

    GPU AcceleratedMemory OptimizedCompute Optimized

    Alibaba Cloud ecs.gn6e-c12g1.24xlarge is an x86_64 GPU-accelerated server designed for highly parallelized workloads. Powered by an Intel Xeon 8163 processor, it delivers 96 dedicated vCPUs, 736.0 GB of system memory, and a baseline network bandwidth of 32 Gbps. The hardware configuration features eight NVIDIA Volta V100 GPUs with a total of 256 GB of VRAM, while omitting local storage. Performance benchmarks reveal a significant contrast, with weak single-core CPU performance of 1104.49 in stress-ng but strong multi-core CPU performance of 70674.73. This resource-dense profile is qualitatively cost-efficient for workloads that heavily leverage GPU acceleration and multi-threaded processing. It is best suited for deep learning training, large-scale artificial intelligence inference, and high-performance computing applications.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    3.7Score
    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) — 16,792 — 50.00% 0.00% —
    Geekbench Clang compilation (single-core) — 1,712 — 10.00% 0.00% —
    stress-ng div16 best-N cores 70,675 ops/s 18,898 ops/s 3.7 20.00% 100.00% +270.00%
    PassMark integer math — 67,905 Mops/s — 5.00% 0.00% —
    PassMark compression — 246,260 kB/s — 5.00% 0.00% —
    Brotli compression (multi-core, level 0) — 219,675,740 Bps — 5.00% 0.00% —
    PassMark string sorting — 38,157 Kstrings/s — 5.00% 0.00% —

    Stress-ng Raw Scores

    Stress-ng Relative Multicore Performance

    Alternatives

    Servers of the Same Family

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

    Similar Servers

    INSTANCEVENDORvCPUsMEMORYAccelerators

    ecs.gn6e-c12g1.24xlarge FAQs