ecs.sn1ne.2xlarge by Alibaba Cloud

ecs.sn1ne.2xlarge is a ecs.sn1ne family (8 vCPUs, 16 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 8 vCPUs, 16 GiB of memory and 0 GB of storage. The pricing starts at 0.0215 USD per hour.
8 vCPU
16 GiB Memory
Spare SCore
5,884
(All-cores)
1,108
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.sn1ne.2xlarge
Description
ecs.sn1ne family (8 vCPUs, 16 GiB RAM, 0 GB storage)
Family
ecs.sn1ne
Hw Virt
Status
active
Observed At
2026-10-28T13:49:57.175558

Availability

REGION / IDSPOTONDEMAND
Hong Kong (HK) / cn-hongkong
- 0.397 USD/h
Jakarta (ID) / ap-southeast-5
0.0575 USD/h 0.411 USD/h
Singapore (SG) / ap-southeast-1
- 0.411 USD/h
Shenzhen (CN) / cn-shenzhen
0.0215 USD/h 0.43 USD/h
Beijing (CN) / cn-beijing
- 0.43 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.43 USD/h
Shanghai (CN) / cn-shanghai
- 0.43 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
16 GiB
Memory Amount Actual
16 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 Intel-powered compute instance with a one-to-two processor-to-memory ratio, designed for stable, entry-level workloads requiring no local storage.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.sn1ne.2xlarge is an x86_64 server instance utilizing an Intel Xeon E5-2682v4 processor clocked at 2.5 GHz. It provides 8 dedicated vCPUs across 4 physical cores, paired with 16.0 GB of RAM, resulting in a 1:2 vCPU-to-RAM ratio. The instance features no local storage and has a baseline network bandwidth of 2 Gbps. Performance benchmarks place this instance primarily in the lower tiers, with stress-ng and Geekbench CPU scores falling in the bottom 25% and bottom 10% respectively. However, uncached large-block memory read and write bandwidth reaches average levels. Lacking local storage and GPU acceleration, this instance is best suited for workloads with moderate computational requirements, such as basic web serving, lightweight software compilation, and small-scale text processing or minor model inference tasks where dedicated CPU allocation is preferred over shared-core alternatives.

      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) 465,332 ops/sec 1,919,289 ops/sec 0.25 50.00% 50.00% -50.00%
      Redis RPS (pipeline=16, SET) 3,373,838 ops/sec 11,728,058 ops/sec 0.28 20.00% 20.00% -22.00%
      PassMark Memory Mark (composite) 1,523 2,416 0.62 10.00% 10.00% -4.70%
      Memory bandwidth (read, 16 MB ~ L3) 47,713 MB/sec 108,466 MB/sec 0.44 10.00% 10.00% -7.90%
      PassMark single-thread CPU 1,686 Mops/s 2,365 Mops/s 0.71 10.00% 10.00% -3.40%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 927

      Geekbench Multi-Core

      Score: 3,491

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 7,010
      Compression
      		 91,272
      Encryption
      		 2,725
      Extended Instructions
      		 6,059
      Floating Point Maths
      		 10,559
      Integer Maths
      		 19,672
      Physics
      		 778
      Prime Numbers
      		 45
      Single Threaded
      		 1,686
      String Sorting
      		 12,089

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,523
      Database Operations
      		 2,205
      Memory Latency
      		 75
      Memory Read Cached
      		 19,494
      Memory Read Uncached
      		 6,654
      Memory Write
      		 6,868

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 184.62 175 0.95×
      bitops
      		 100,201 442,328 4.41×
      branch
      		 122,316 738,951 6.04×
      funccall
      		 449.51 1,879 4.18×
      funcret
      		 9,087 52,743 5.80×
      hash
      		 103,766 614,155 5.92×
      intmath
      		 18,165 108,785 5.99×
      nop
      		 151,677 523,853 3.45×
      prime
      		 260,574 1,165,222 4.47×
      rotate
      		 76,584 387,489 5.06×
      str
      		 633,808 3,303,154 5.21×
      wcs
      		 414,267 1,803,160 4.35×
      CryptographySingleMultiScaling
      crypt
      		 1,932 7,532 3.90×
      CompressionSingleMultiScaling
      jpeg
      		 451.07 2,413 5.35×
      zlib
      		 33.99 277.45 8.16×
      HypervisorSingleMultiScaling
      clock
      		 8,579 48,415 5.64×
      clone
      		 390.93 1,500 3.84×
      context
      		 544.59 3,181 5.84×
      cpu-sched
      		 58.96 499.55 8.47×
      eventfd
      		 24,864 230,837 9.28×
      fault
      		 8,472 47,025 5.55×
      fork
      		 2,535 15,299 6.04×
      getrandom
      		 32,199 163,838 5.09×
      hrtimers
      		 420,376 531,873 1.27×
      mprotect
      		 468,026 499,109 1.07×
      mtx
      		 13,170,578 151,116,508 11.47×
      munmap
      		 1,820 10,525 5.78×
      null
      		 51,613 297,673 5.77×
      pipe
      		 388,096 1,118,557 2.88×
      priv-instr
      		 152,976 877,885 5.74×
      resched
      		 743,225 361,449 0.49×
      switch
      		 56,456 603,821 10.70×
      timermix
      		 113,529 647,984 5.71×
      tlb-shootdown
      		 9,739 14,960 1.54×
      tsc
      		 790,181 4,422,936 5.60×
      usersyscall
      		 97,920 562,002 5.74×
      vdso
      		 64,360,373 448,347,468 6.97×
      vfork
      		 17,508 84,936 4.85×
      x86syscall
      		 565,276 3,247,023 5.74×
      yield
      		 1,778,644 1,810,064 1.02×
      zero
      		 496,839 2,853,674 5.74×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 12,982 68,439 5.27×
      expmath
      		 2,135 12,986 6.08×
      fma
      		 521,802 3,594,291 6.89×
      fp
      		 132 779.97 5.91×
      fractal
      		 4.2 24.4 5.81×
      hyperbolic
      		 2,231 13,892 6.23×
      logmath
      		 3,623 21,766 6.01×
      matrix
      		 2,491 15,399 6.18×
      matrix-3d
      		 544.07 1,583 2.91×
      monte-carlo
      		 31.96 171.02 5.35×
      mpfr
      		 969.62 4,189 4.32×
      powmath
      		 1,261 7,691 6.10×
      trig
      		 1,362 7,352 5.40×
      veccmp
      		 12,294 48,479 3.94×
      vecfp
      		 1,794 8,965 5.00×
      vecmath
      		 1,678 10,573 6.30×
      vecshuf
      		 744.49 3,205 4.30×
      vecwide
      		 45,016 211,483 4.70×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 5.8 26.6 4.59×
      bsearch
      		 197.77 904.73 4.57×
      bubblesort
      		 0.6 1.6 2.67×
      fibsearch
      		 223.01 1,121 5.03×
      heapsort
      		 6.6 32.2 4.88×
      hsearch
      		 3,963 20,129 5.08×
      insertionsort
      		 6.4 25.6 4.00×
      malloc
      		 1,572,101 12,904,874 8.21×
      mcontend
      		 143.49 1,873 13.05×
      mergesort
      		 21.2 111.6 5.26×
      qsort
      		 15 73.4 4.89×
      skiplist
      		 4,162 23,427 5.63×
      tree
      		 1.2 4.8 4.00×
      MemorySingleMultiScaling
      cache
      		 236,623 375,202 1.59×
      cachehammer
      		 366,904 2,520,454 6.87×
      cacheline
      		 29.45 252.33 8.57×
      l1cache
      		 179.48 774.74 4.32×
      memcpy
      		 303.3 1,223 4.03×
      memrate
      		 0.94 4.38 4.66×
      memthrash
      		 86.88 250.57 2.88×
      ptr-chase
      		 17,207,270 64,965,029 3.78×
      spinmem
      		 197.79 284.77 1.44×
      stream
      		 31.83 1,210 38.03×
      vm
      		 16,251 259,809 15.99×

      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.3xlarge 1224 GiB0
      ecs.sn1ne.4xlarge 1632 GiB0
      ecs.sn1ne.6xlarge 2448 GiB0
      ecs.sn1ne.8xlarge 3264 GiB0

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      ecs.sn1ne.2xlarge FAQs