ecs.sn2ne.14xlarge by Alibaba Cloud

ecs.sn2ne.14xlarge is a ecs.sn2ne family (56 vCPUs, 224 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 56 vCPUs, 224 GiB of memory and 0 GB of storage. The pricing starts at 0.425 USD per hour.
56 vCPU
224 GiB Memory
Spare SCore
40,954
(All-cores)
1,107
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.sn2ne.14xlarge
API Reference Object
-
Description
ecs.sn2ne family (56 vCPUs, 224 GiB RAM, 0 GB storage)
Family
ecs.sn2ne
Hw Virt
Status
active
Observed At
2026-10-17T07:10:48.032275

Availability

REGION / IDSPOTONDEMAND
Dubai (AE) / me-east-1
0.5866 USD/h 4.19 USD/h
Shenzhen (CN) / cn-shenzhen
0.51 USD/h 4.25 USD/h
Beijing (CN) / cn-beijing
- 4.25 USD/h
Hangzhou (CN) / cn-hangzhou
- 4.25 USD/h

Processor

vCPUs
56
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
28
CPU Speed
2.5 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
E5-2682v4
CPU L1D Cache
32 KiB
CPU L1D Cache Total
896 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
896 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
28 MiB
CPU L3 Cache
36 MiB
CPU L3 Cache Total
36 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, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, tsc_deadline_timer, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, abm, 3dnowprefetch, pti, ibrs, ibpb, stibp, fsgsbase, tsc_adjust, bmi1, hle, avx2, smep, bmi2, erms, invpcid, rtm, mpx, avx512f, avx512dq, rdseed, adx, smap, avx512cd, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, arat
Ecpus
37
Scalability
66.07

System Resources and Accelerators

MEMORY
Memory Amount
224 GiB
Memory Amount Actual
224 GiB
ACCELERATORS
Accelerator Count
0
Accelerator Memory Min
0 MiB
Accelerator Memory Total
0 MiB
Accelerators
    STORAGE
    Storage Size
    0 GB
    Storages
      NETWORK
      Network Speed Baseline
      10 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A high-core general-purpose instance delivering balanced memory and dedicated multi-threaded compute performance for parallelized enterprise workloads.

      General Purpose

      Alibaba Cloud ecs.sn2ne.14xlarge is a general-purpose virtual machine featuring 56 dedicated vCPUs and 224.0 GB of RAM, running on an Intel Xeon E5-2682v4 processor at 2.5 GHz. Built on the x86_64 architecture and managed via the KVM hypervisor, this instance provides a balanced 1:4 vCPU-to-RAM ratio but lacks local storage and GPU acceleration. Performance benchmarks reveal a contrast between weak single-core execution and average multi-core capabilities, with memory bandwidth and static web serving throughput also landing in the average tier. The instance offers a baseline network bandwidth of 10 Gbps. Given its high core count and balanced memory allocation, the ecs.sn2ne.14xlarge is best suited for multi-threaded workloads, software compilation, static web serving, and general-purpose enterprise applications that do not require high single-threaded performance or local NVMe storage.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.3Score
      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) 3,007,490 ops/sec 1,917,050 ops/sec 1.6 50.00% 50.00% +26.00%
      Redis RPS (pipeline=16, SET) 22,066,555 ops/sec 11,661,818 ops/sec 1.8 20.00% 20.00% +12.00%
      PassMark Memory Mark (composite) 1,920 2,417 0.79 10.00% 10.00% -2.30%
      Memory bandwidth (read, 16 MB ~ L3) 108,349 MB/sec 108,361 MB/sec 1 10.00% 10.00% 0.00%
      PassMark single-thread CPU 1,689 Mops/s 2,365 Mops/s 0.71 10.00% 10.00% -3.40%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 948

      Geekbench Multi-Core

      Score: 9,467

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      35029
      Compression
      630135
      Encryption
      18843
      Extended Instructions
      42622
      Floating Point Maths
      73410
      Integer Maths
      136839
      Physics
      3326
      Prime Numbers
      176
      Single Threaded
      1689
      String Sorting
      81820

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      1920
      Database Operations
      14811
      Memory Latency
      73
      Memory Read Cached
      19519
      Memory Read Uncached
      6736
      Memory Write
      6969

      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

      INSTANCEvCPUsMEMORYAccelerators
      ecs.sn2ne.large 28 GiB0
      ecs.sn2ne.xlarge 416 GiB0
      ecs.sn2ne.2xlarge 832 GiB0
      ecs.sn2ne.3xlarge 1248 GiB0
      ecs.sn2ne.4xlarge 1664 GiB0
      ecs.sn2ne.6xlarge 2496 GiB0
      ecs.sn2ne.8xlarge 32128 GiB0

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      ecs.sn2ne.14xlarge FAQs