ecs.sn2ne.xlarge by Alibaba Cloud

ecs.sn2ne.xlarge is a ecs.sn2ne family (4 vCPUs, 16 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 4 vCPUs, 16 GiB of memory and 0 GB of storage. The pricing starts at 0.0299 USD per hour.
4 vCPU
16 GiB Memory
Spare SCore
2,934
(All-cores)
1,101
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.sn2ne.xlarge
Description
ecs.sn2ne family (4 vCPUs, 16 GiB RAM, 0 GB storage)
Family
ecs.sn2ne
Hw Virt
Status
active
Observed At
2026-09-06T21:53:23.511402

Availability

REGION / IDSPOTONDEMAND
Jakarta (ID) / ap-southeast-5
0.0363 USD/h 0.259 USD/h
Hong Kong (HK) / cn-hongkong
0.0363 USD/h 0.259 USD/h
Dubai (AE) / me-east-1
0.0299 USD/h 0.299 USD/h
Beijing (CN) / cn-beijing
0.054 USD/h 0.3 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.3 USD/h
Shanghai (CN) / cn-shanghai
- 0.3 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.3 USD/h

Processor

vCPUs
4
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
4
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
64 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
64 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
2 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
2.7
Scalability
67.5

System Resources and Accelerators

MEMORY
Memory Amount
16 GiB
Memory Amount Actual
16 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
      1.5 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated general-purpose virtual machine offering balanced memory-to-CPU ratios for lightweight legacy workloads and development environments.

      General Purpose

      Alibaba Cloud ecs.sn2ne.xlarge is a general-purpose instance featuring 4 dedicated vCPUs and 16.0 GB of RAM, powered by an Intel Xeon E5-2682v4 processor running at 2.5 GHz on the KVM hypervisor. It lacks local storage and GPU accelerators, relying on network-attached storage and offering a baseline network bandwidth of 2 Gbps. Benchmark data indicates modest performance, with CPU and memory bandwidth results generally placing in the bottom 10% to 25% compared to modern cloud hardware. This performance profile reflects its older Broadwell architecture. Qualitatively, the instance provides a cost-effective option for workloads requiring dedicated CPU allocation without the need for high-performance computing. It is recommended for lightweight applications, development environments, basic web serving, and small-scale database operations.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.19Score
      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) 236,421 ops/sec 1,917,397 ops/sec 0.123 50.00% 50.00% -64.90%
      Redis RPS (pipeline=16, SET) 1,657,082 ops/sec 11,681,410 ops/sec 0.142 20.00% 20.00% -32.30%
      PassMark Memory Mark (composite) 1,391 2,418 0.575 10.00% 10.00% -5.38%
      Memory bandwidth (read, 16 MB ~ L3) 28,975 MB/sec 108,140 MB/sec 0.268 10.00% 10.00% -12.30%
      PassMark single-thread CPU 1,682 Mops/s 2,365 Mops/s 0.711 10.00% 10.00% -3.35%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 928

      Geekbench Multi-Core

      Score: 2,014

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      3643
      Compression
      45877
      Encryption
      1357
      Extended Instructions
      2957
      Floating Point Maths
      5266
      Integer Maths
      9804
      Physics
      472
      Prime Numbers
      26
      Single Threaded
      1682
      String Sorting
      6167

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      1391
      Database Operations
      1110
      Memory Latency
      75
      Memory Read Cached
      19216
      Memory Read Uncached
      7337
      Memory Write
      7515

      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.large 28 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.xlarge FAQs