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ecs.sn2ne.large by Alibaba Cloud

ecs.sn2ne.large is a ecs.sn2ne family (2 vCPUs, 8 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 2 vCPUs, 8 GiB of memory and 0 GB of storage. The pricing starts at 0.0149 USD per hour.
2 vCPU
8 GiB Memory
Spare SCore
1443
(All-cores)
1093
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.sn2ne.large
Description
ecs.sn2ne family (2 vCPUs, 8 GiB RAM, 0 GB storage)
Family
ecs.sn2ne
Hw Virt
Status
active
Observed At
2026-08-08T07:07:12.536518

Availability

REGION / IDSPOTONDEMAND
Jakarta (ID) / ap-southeast-5
0.0245 USD/h 0.129 USD/h
Singapore (SG) / ap-southeast-1
- 0.129 USD/h
Hong Kong (HK) / cn-hongkong
- 0.129 USD/h
Dubai (AE) / me-east-1
0.0149 USD/h 0.149 USD/h
Beijing (CN) / cn-beijing
0.021 USD/h 0.15 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.15 USD/h
Shanghai (CN) / cn-shanghai
- 0.15 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.15 USD/h

Processor

vCPUs
2
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
2
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
32 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
32 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
1 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
1.3
Scalability
65

System Resources and Accelerators

MEMORY
Memory Amount
8 GiB
Memory Amount Actual
8 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    0 GB
    Storages
      NETWORK
      Network Speed Baseline
      1 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated dual-core virtual server with balanced memory allocation, designed for predictable, low-intensity general-purpose workloads and basic web serving.

      General Purpose

      Alibaba Cloud ecs.sn2ne.large is an entry-level, general-purpose instance featuring 2 dedicated vCPUs and 2 physical cores powered by an Intel Xeon E5-2682v4 processor running at 2.5 GHz. Built on the x86_64 architecture under the KVM hypervisor, it is configured with 8.0 GB of RAM, providing 4.0 GB of memory per core. The instance does not include local storage or GPU hardware, and it operates with a baseline network bandwidth of 1 Gbps. Benchmark results place its compute and memory performance in the lower tiers, with a Geekbench multi-core score of 1083.0 and a stress-ng multi-core score of 1442.69. Due to its dedicated CPU allocation and balanced resource ratio, it is best suited for lightweight, predictable workloads such as basic web serving, small-scale development environments, and low-intensity microservices.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.107Score
      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) 114,279 ops/sec 1,910,660 ops/sec 0.0598 50.00% 50.00% -75.50%
      Redis RPS (pipeline=16, SET) 828,050 ops/sec 11,608,287 ops/sec 0.0713 20.00% 20.00% -41.00%
      PassMark Memory Mark (composite) 967.6 2,416 0.401 10.00% 10.00% -8.73%
      Memory bandwidth (read, 16 MB ~ L3) 20,224 MB/sec 107,896 MB/sec 0.187 10.00% 10.00% -15.40%
      PassMark single-thread CPU 1,605 Mops/s 2,364 Mops/s 0.679 10.00% 10.00% -3.80%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 913

      Geekbench Multi-Core

      Score: 1,083

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      1834
      Compression
      22794
      Encryption
      675
      Extended Instructions
      1442
      Floating Point Maths
      2624
      Integer Maths
      4886
      Physics
      244
      Prime Numbers
      13
      Single Threaded
      1605
      String Sorting
      3029

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      968
      Database Operations
      550
      Memory Latency
      75
      Memory Read Cached
      19240
      Memory Read Uncached
      6639
      Memory Write
      6841

      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.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
      ecs.sn2ne.14xlarge 56224 GiB0

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      ecs.sn2ne.large FAQs