ecs.sn2ne.2xlarge by Alibaba Cloud

ecs.sn2ne.2xlarge is a ecs.sn2ne family (8 vCPUs, 32 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 8 vCPUs, 32 GiB of memory and 0 GB of storage. The pricing starts at 0.0427 USD per hour.
8 vCPU
32 GiB Memory
Spare SCore
5,880
(All-cores)
1,100
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.sn2ne.2xlarge
Description
ecs.sn2ne family (8 vCPUs, 32 GiB RAM, 0 GB storage)
Family
ecs.sn2ne
Hw Virt
Status
active
Observed At
2026-10-26T14:13:26.285687

Availability

REGION / IDSPOTONDEMAND
Jakarta (ID) / ap-southeast-5
0.0779 USD/h 0.519 USD/h
Singapore (SG) / ap-southeast-1
- 0.519 USD/h
Hong Kong (HK) / cn-hongkong
- 0.519 USD/h
Dubai (AE) / me-east-1
0.0837 USD/h 0.598 USD/h
Hangzhou (CN) / cn-hangzhou
0.0427 USD/h 0.61 USD/h
Beijing (CN) / cn-beijing
- 0.61 USD/h
Shanghai (CN) / cn-shanghai
- 0.61 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.61 USD/h

Processor

vCPUs
8
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
128 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
128 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
4 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
5.3
Scalability
66.25

System Resources and Accelerators

MEMORY
Memory Amount
32 GiB
Memory Amount Actual
32 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
      2 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated general-purpose instance featuring a balanced memory-to-core ratio for standard workloads and development environments.

      General Purpose

      Alibaba Cloud ecs.sn2ne.2xlarge is an x86_64 general-purpose instance featuring 8 dedicated vCPUs and 32.0 GB of RAM, powered by an Intel Xeon E5-2682v4 processor at 2.5 GHz. Operating on the KVM hypervisor, it lacks local storage and GPU hardware, relying on a baseline network bandwidth of 2 Gbps. Performance benchmarks indicate modest capabilities, with stress-ng and Geekbench scores falling into the bottom 25% and 10% tiers, respectively. However, Passmark CPU and large-block uncached memory bandwidth tests show average, middle-tier performance. This hardware profile offers a standard resource density for workloads requiring dedicated CPU allocation without high-performance demands. The ecs.sn2ne.2xlarge is best suited for general-purpose workloads, including basic web serving, development environments, and lightweight background processing.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.33Score
      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) 466,715 ops/sec 1,919,289 ops/sec 0.25 50.00% 50.00% -50.00%
      Redis RPS (pipeline=16, SET) 3,404,590 ops/sec 11,728,058 ops/sec 0.28 20.00% 20.00% -22.00%
      PassMark Memory Mark (composite) 1,761 2,416 0.75 10.00% 10.00% -2.80%
      Memory bandwidth (read, 16 MB ~ L3) 42,668 MB/sec 108,466 MB/sec 0.39 10.00% 10.00% -9.00%
      PassMark single-thread CPU 1,685 Mops/s 2,365 Mops/s 0.71 10.00% 10.00% -3.40%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 928

      Geekbench Multi-Core

      Score: 3,534

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 7,032
      Compression
      		 92,034
      Encryption
      		 2,721
      Extended Instructions
      		 6,073
      Floating Point Maths
      		 10,553
      Integer Maths
      		 19,653
      Physics
      		 792
      Prime Numbers
      		 47
      Single Threaded
      		 1,685
      String Sorting
      		 12,131

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,761
      Database Operations
      		 2,201
      Memory Latency
      		 75
      Memory Read Cached
      		 19,490
      Memory Read Uncached
      		 7,350
      Memory Write
      		 7,543

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 185.13 176.76 0.95×
      bitops
      		 100,245 441,369 4.40×
      branch
      		 122,162 738,251 6.04×
      funccall
      		 450.17 1,882 4.18×
      funcret
      		 9,152 52,891 5.78×
      hash
      		 103,476 612,738 5.92×
      intmath
      		 17,696 108,320 6.12×
      nop
      		 150,792 523,723 3.47×
      prime
      		 258,956 1,165,729 4.50×
      rotate
      		 76,602 387,985 5.06×
      str
      		 656,459 3,329,184 5.07×
      wcs
      		 401,982 1,808,053 4.50×
      CryptographySingleMultiScaling
      crypt
      		 1,823 7,529 4.13×
      CompressionSingleMultiScaling
      jpeg
      		 451.75 2,438 5.40×
      zlib
      		 46.34 226.84 4.90×
      HypervisorSingleMultiScaling
      clock
      		 8,570 48,337 5.64×
      clone
      		 383.72 1,471 3.83×
      context
      		 537.59 3,178 5.91×
      cpu-sched
      		 59.17 521.1 8.81×
      eventfd
      		 25,063 229,864 9.17×
      fault
      		 8,426 46,817 5.56×
      fork
      		 2,556 15,545 6.08×
      getrandom
      		 32,160 163,716 5.09×
      hrtimers
      		 134,149 615,525 4.59×
      mprotect
      		 467,912 497,501 1.06×
      mtx
      		 11,170,894 135,820,246 12.16×
      munmap
      		 1,829 10,274 5.62×
      null
      		 51,416 296,704 5.77×
      pipe
      		 404,456 1,120,378 2.77×
      priv-instr
      		 152,959 876,955 5.73×
      resched
      		 746,762 348,314 0.47×
      switch
      		 71,897 599,465 8.34×
      timermix
      		 111,626 649,101 5.81×
      tlb-shootdown
      		 9,522 14,885 1.56×
      tsc
      		 789,417 4,424,347 5.60×
      usersyscall
      		 98,418 562,444 5.71×
      vdso
      		 64,289,505 452,999,425 7.05×
      vfork
      		 17,824 86,134 4.83×
      x86syscall
      		 560,856 3,243,217 5.78×
      yield
      		 1,754,153 1,857,812 1.06×
      zero
      		 494,101 2,868,447 5.81×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 12,958 66,200 5.11×
      expmath
      		 2,119 13,019 6.14×
      fma
      		 521,062 3,594,068 6.90×
      fp
      		 132 781.52 5.92×
      fractal
      		 4.2 24.4 5.81×
      hyperbolic
      		 2,212 13,885 6.28×
      logmath
      		 3,616 21,761 6.02×
      matrix
      		 2,477 15,545 6.28×
      matrix-3d
      		 565.5 1,595 2.82×
      monte-carlo
      		 31.95 170.99 5.35×
      mpfr
      		 970.02 4,187 4.32×
      powmath
      		 1,260 7,669 6.09×
      trig
      		 1,363 7,353 5.39×
      veccmp
      		 12,342 48,485 3.93×
      vecfp
      		 1,792 9,006 5.03×
      vecmath
      		 1,650 10,573 6.41×
      vecshuf
      		 744.32 3,210 4.31×
      vecwide
      		 44,969 211,382 4.70×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 5.8 26.6 4.59×
      bsearch
      		 195.5 907.32 4.64×
      bubblesort
      		 0.6 1.6 2.67×
      fibsearch
      		 223 1,122 5.03×
      heapsort
      		 6.6 32.6 4.94×
      hsearch
      		 3,950 20,076 5.08×
      insertionsort
      		 6.4 25.6 4.00×
      malloc
      		 1,628,283 13,766,566 8.45×
      mcontend
      		 133.56 1,835 13.74×
      mergesort
      		 21.2 111.6 5.26×
      qsort
      		 15 73.4 4.89×
      skiplist
      		 4,152 23,426 5.64×
      tree
      		 1.2 4.8 4.00×
      MemorySingleMultiScaling
      cache
      		 256,871 390,334 1.52×
      cachehammer
      		 363,750 2,529,383 6.95×
      cacheline
      		 28.16 244.86 8.70×
      l1cache
      		 179.8 774.6 4.31×
      memcpy
      		 302.63 1,223 4.04×
      memrate
      		 0.94 4.4 4.68×
      memthrash
      		 79.39 251.09 3.16×
      ptr-chase
      		 25,208,068 66,927,097 2.65×
      spinmem
      		 199.19 286.17 1.44×
      stream
      		 32.6 1,222 37.50×
      vm
      		 15,643 260,400 16.65×

      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
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      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.2xlarge FAQs