ecs.sn1ne.4xlarge by Alibaba Cloud

ecs.sn1ne.4xlarge is a ecs.sn1ne family (16 vCPUs, 32 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 16 vCPUs, 32 GiB of memory and 0 GB of storage. The pricing starts at 0.1154 USD per hour.
16 vCPU
32 GiB Memory
Spare SCore
11,776
(All-cores)
1,109
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.sn1ne.4xlarge
Description
ecs.sn1ne family (16 vCPUs, 32 GiB RAM, 0 GB storage)
Family
ecs.sn1ne
Hw Virt
Status
active
Observed At
2026-10-29T02:39:22.910508

Availability

REGION / IDSPOTONDEMAND
Jakarta (ID) / ap-southeast-5
0.136 USD/h 0.824 USD/h
Beijing (CN) / cn-beijing
- 0.86 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.86 USD/h
Shanghai (CN) / cn-shanghai
- 0.86 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.86 USD/h

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
8
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
256 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
256 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
8 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
10.6
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
      3 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      An x86 compute-optimized instance offering dedicated multi-core processing and a balanced memory footprint for parallelized workloads without local storage.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.sn1ne.4xlarge is a compute-optimized server instance featuring 16 dedicated vCPUs and 32.0 GB of RAM on an x86_64 architecture. Powered by an Intel Xeon E5-2682v4 processor running at 2.5 GHz, this KVM-based instance provides a 1:2 vCPU-to-RAM ratio with no bundled local storage or GPU accelerators. Performance benchmarks show a distinct contrast: single-core execution is weak, with a Geekbench single-core score of 930.0, while multi-core workloads achieve average ratings, highlighted by a Geekbench multi-core score of 5741.0 and a Passmark CPU score of 13034.32. Network throughput is limited to a 3 Gbps baseline. This hardware profile is best suited for parallelized workloads such as software compilation, static web serving, and multi-threaded data processing, where multi-core scaling offsets the lower single-thread efficiency of its older processor generation.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.56Score
      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) 916,057 ops/sec 1,919,289 ops/sec 0.48 50.00% 50.00% -31.00%
      Redis RPS (pipeline=16, SET) 6,713,245 ops/sec 11,728,058 ops/sec 0.56 20.00% 20.00% -11.00%
      PassMark Memory Mark (composite) 1,783 2,416 0.75 10.00% 10.00% -2.80%
      Memory bandwidth (read, 16 MB ~ L3) 79,302 MB/sec 108,466 MB/sec 0.72 10.00% 10.00% -3.20%
      PassMark single-thread CPU 1,691 Mops/s 2,365 Mops/s 0.71 10.00% 10.00% -3.40%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 930

      Geekbench Multi-Core

      Score: 5,741

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 13,034
      Compression
      		 181,043
      Encryption
      		 5,445
      Extended Instructions
      		 12,292
      Floating Point Maths
      		 21,132
      Integer Maths
      		 39,358
      Physics
      		 1,295
      Prime Numbers
      		 68
      Single Threaded
      		 1,691
      String Sorting
      		 23,922

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,783
      Database Operations
      		 4,343
      Memory Latency
      		 77
      Memory Read Cached
      		 19,442
      Memory Read Uncached
      		 6,836
      Memory Write
      		 7,039

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 174.67 161.36 0.92×
      bitops
      		 100,352 885,125 8.82×
      branch
      		 122,477 1,478,940 12.08×
      funccall
      		 450.08 3,766 8.37×
      funcret
      		 9,102 105,495 11.59×
      hash
      		 104,025 1,230,795 11.83×
      intmath
      		 17,907 218,448 12.20×
      nop
      		 151,910 1,048,755 6.90×
      prime
      		 260,302 2,326,532 8.94×
      rotate
      		 76,729 774,108 10.09×
      str
      		 636,364 6,708,032 10.54×
      wcs
      		 402,858 3,699,326 9.18×
      CryptographySingleMultiScaling
      crypt
      		 1,934 15,061 7.79×
      CompressionSingleMultiScaling
      jpeg
      		 474.15 4,735 9.99×
      zlib
      		 28.08 538.78 19.19×
      HypervisorSingleMultiScaling
      clock
      		 8,190 92,092 11.24×
      clone
      		 374.16 2,830 7.56×
      context
      		 543.79 6,121 11.26×
      cpu-sched
      		 73.13 1,001 13.69×
      eventfd
      		 25,833 438,911 16.99×
      fault
      		 8,424 89,765 10.66×
      fork
      		 2,520 25,192 10.00×
      getrandom
      		 32,162 326,914 10.16×
      hrtimers
      		 298,506 1,415,661 4.74×
      mprotect
      		 621,169 973,684 1.57×
      mtx
      		 7,983,325 336,044,852 42.09×
      munmap
      		 1,815 19,686 10.85×
      null
      		 48,851 578,219 11.84×
      pipe
      		 416,763 2,160,077 5.18×
      priv-instr
      		 145,967 1,712,326 11.73×
      resched
      		 1,530,819 631,193 0.41×
      switch
      		 86,900 1,129,207 12.99×
      timermix
      		 108,014 1,283,568 11.88×
      tlb-shootdown
      		 9,624 26,963 2.80×
      tsc
      		 791,559 8,859,560 11.19×
      usersyscall
      		 96,345 1,096,664 11.38×
      vdso
      		 64,367,132 912,241,552 14.17×
      vfork
      		 18,345 142,365 7.76×
      x86syscall
      		 564,732 6,326,722 11.20×
      yield
      		 3,605,399 3,612,103 1.00×
      zero
      		 493,768 5,583,256 11.31×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 12,958 134,478 10.38×
      expmath
      		 2,139 26,018 12.17×
      fma
      		 522,240 7,216,563 13.82×
      fp
      		 132 1,565 11.86×
      fractal
      		 4.2 48.81 11.62×
      hyperbolic
      		 2,125 27,799 13.08×
      logmath
      		 3,626 43,652 12.04×
      matrix
      		 2,477 30,839 12.45×
      matrix-3d
      		 556.18 2,880 5.18×
      monte-carlo
      		 31.67 343.44 10.84×
      mpfr
      		 970.12 8,387 8.64×
      powmath
      		 1,264 15,386 12.18×
      trig
      		 1,367 14,738 10.78×
      veccmp
      		 12,340 96,909 7.85×
      vecfp
      		 1,793 17,904 9.98×
      vecmath
      		 1,681 21,184 12.60×
      vecshuf
      		 746.4 6,406 8.58×
      vecwide
      		 45,035 423,247 9.40×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 5.6 52.6 9.39×
      bsearch
      		 197.87 1,821 9.21×
      bubblesort
      		 0.6 3.2 5.33×
      fibsearch
      		 223.4 2,266 10.14×
      heapsort
      		 6.8 66 9.71×
      hsearch
      		 4,047 39,355 9.73×
      insertionsort
      		 6.4 51.2 8.00×
      malloc
      		 1,557,902 20,580,161 13.21×
      mcontend
      		 119.26 3,627 30.41×
      mergesort
      		 21.2 220.99 10.42×
      qsort
      		 15 147.4 9.83×
      skiplist
      		 4,153 46,862 11.28×
      tree
      		 1.2 9.59 7.99×
      MemorySingleMultiScaling
      cache
      		 256,374 424,214 1.65×
      cachehammer
      		 357,400 4,823,529 13.50×
      cacheline
      		 28.93 540.59 18.69×
      l1cache
      		 180.57 1,549 8.58×
      memcpy
      		 303.52 2,442 8.05×
      memrate
      		 0.94 8.73 9.29×
      memthrash
      		 136.39 481.32 3.53×
      ptr-chase
      		 26,800,722 122,864,070 4.58×
      spinmem
      		 186.79 617.91 3.31×
      stream
      		 32.42 4,606 142.08×
      vm
      		 15,981 291,738 18.26×

      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.sn1ne.large 24 GiB0
      ecs.sn1ne.xlarge 48 GiB0
      ecs.sn1ne.2xlarge 816 GiB0
      ecs.sn1ne.3xlarge 1224 GiB0
      ecs.sn1ne.6xlarge 2448 GiB0
      ecs.sn1ne.8xlarge 3264 GiB0

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      ecs.sn1ne.4xlarge FAQs