ecs.sn2.3xlarge by Alibaba Cloud

ecs.sn2.3xlarge is a ecs.sn2 family (16 vCPUs, 64 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 16 vCPUs, 64 GiB of memory and 0 GB of storage. The pricing starts at 0.1405 USD per hour.
16 vCPU
64 GiB Memory
Spare SCore
11,798
(All-cores)
1,107
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.sn2.3xlarge
Description
ecs.sn2 family (16 vCPUs, 64 GiB RAM, 0 GB storage)
Family
ecs.sn2
Hw Virt
Status
active
Observed At
2026-10-26T23:54:08.504374

Availability

REGION / IDSPOTONDEMAND
Hong Kong (HK) / cn-hongkong
- 0.99 USD/h
Shenzhen (CN) / cn-shenzhen
0.1405 USD/h 1.405 USD/h
Jakarta (ID) / ap-southeast-5
- 1.405 USD/h
Beijing (CN) / cn-beijing
- 1.405 USD/h
Hangzhou (CN) / cn-hangzhou
- 1.405 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
8269CY
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, monitor, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, abm, 3dnowprefetch, pti, fsgsbase, tsc_adjust, bmi1, avx2, smep, bmi2, erms, invpcid, avx512f, avx512dq, rdseed, adx, smap, clflushopt, clwb, avx512cd, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, arat, avx512_vnni
Ecpus
10.7
Scalability
66.88

System Resources and Accelerators

MEMORY
Memory Amount
64 GiB
Memory Amount Actual
64 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

      Server Description

      A general-purpose cloud instance with a balanced vCPU-to-RAM ratio, delivering average multi-core CPU performance for general software backends and web serving.

      General Purpose

      Alibaba Cloud ecs.sn2.3xlarge is a general-purpose cloud instance equipped with 16 vCPUs across 8 physical Intel Xeon 8269CY cores at 2.5 GHz and 64 GB of RAM. Running on a KVM hypervisor with x86_64 architecture, it includes instruction set extensions like AVX-512 and AES. The instance lacks bundled local storage and GPU hardware, depending on network storage while providing a 3 Gbps baseline network capacity. Benchmark results indicate weak single-core CPU scores alongside average multi-core CPU, memory bandwidth, and web serving metrics. Multi-threaded software compilation and database operations perform solidly within average industry tiers. The 1:4 vCPU-to-RAM ratio delivers balanced resource allocation without dedicated storage overhead, making ecs.sn2.3xlarge suitable for general web hosting, microservice backends, CI/CD compilation pipelines, and database tasks that utilize multi-core parallelism effectively.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.65Score
      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) 1,237,314 ops/sec 1,918,343 ops/sec 0.63 50.00% 50.00% -21.00%
      Redis RPS (pipeline=16, SET) 7,175,395 ops/sec 11,704,734 ops/sec 0.6 20.00% 20.00% -9.70%
      PassMark Memory Mark (composite) 1,848 2,416 0.75 10.00% 10.00% -2.80%
      Memory bandwidth (read, 16 MB ~ L3) 84,087 MB/sec 108,420 MB/sec 0.76 10.00% 10.00% -2.70%
      PassMark single-thread CPU 1,656 Mops/s 2,365 Mops/s 0.71 10.00% 10.00% -3.40%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,001

      Geekbench Multi-Core

      Score: 6,324

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 13,055
      Compression
      		 182,938
      Encryption
      		 5,457
      Extended Instructions
      		 12,361
      Floating Point Maths
      		 21,160
      Integer Maths
      		 39,408
      Physics
      		 1,293
      Prime Numbers
      		 69
      Single Threaded
      		 1,656
      String Sorting
      		 24,063

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,848
      Database Operations
      		 4,432
      Memory Latency
      		 76
      Memory Read Cached
      		 19,300
      Memory Read Uncached
      		 7,068
      Memory Write
      		 7,243

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 180.91 168.44 0.93×
      bitops
      		 97,098 865,863 8.92×
      branch
      		 122,099 1,481,511 12.13×
      funccall
      		 449.6 3,773 8.39×
      funcret
      		 9,076 106,062 11.69×
      hash
      		 103,561 1,230,370 11.88×
      intmath
      		 17,809 217,282 12.20×
      nop
      		 151,449 1,050,398 6.94×
      prime
      		 261,301 2,336,973 8.94×
      rotate
      		 76,643 785,000 10.24×
      str
      		 658,114 6,715,678 10.20×
      wcs
      		 423,514 3,672,827 8.67×
      CryptographySingleMultiScaling
      crypt
      		 1,931 15,090 7.82×
      CompressionSingleMultiScaling
      jpeg
      		 493.05 4,892 9.92×
      zlib
      		 36.44 523.95 14.38×
      HypervisorSingleMultiScaling
      clock
      		 14,806 154,644 10.44×
      clone
      		 417.86 2,931 7.01×
      context
      		 1,524 16,476 10.81×
      cpu-sched
      		 55.89 999.51 17.88×
      eventfd
      		 73,507 723,668 9.84×
      fault
      		 10,678 109,657 10.27×
      fork
      		 3,346 31,761 9.49×
      getrandom
      		 35,638 354,063 9.94×
      hrtimers
      		 271,230 1,422,019 5.24×
      mprotect
      		 936,094 1,944,438 2.08×
      mtx
      		 11,347,367 363,881,588 32.07×
      munmap
      		 2,349 23,994 10.22×
      null
      		 163,794 1,651,070 10.08×
      pipe
      		 816,000 3,800,551 4.66×
      priv-instr
      		 347,892 3,626,509 10.42×
      resched
      		 2,769,130 1,164,942 0.42×
      switch
      		 186,707 1,642,927 8.80×
      timermix
      		 338,648 3,701,733 10.93×
      tlb-shootdown
      		 8,342 29,432 3.53×
      tsc
      		 785,164 8,873,203 11.30×
      usersyscall
      		 240,924 2,535,898 10.53×
      vdso
      		 64,203,980 910,315,298 14.18×
      vfork
      		 25,749 164,421 6.39×
      x86syscall
      		 1,853,611 18,478,471 9.97×
      yield
      		 6,685,795 7,045,715 1.05×
      zero
      		 1,230,456 12,005,605 9.76×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 12,911 133,219 10.32×
      expmath
      		 2,124 26,119 12.30×
      fma
      		 510,692 6,686,160 13.09×
      fp
      		 100.8 1,162 11.53×
      fractal
      		 4 46 11.50×
      hyperbolic
      		 2,203 27,853 12.65×
      logmath
      		 3,626 43,617 12.03×
      matrix
      		 2,440 31,842 13.05×
      matrix-3d
      		 582.45 2,941 5.05×
      monte-carlo
      		 85.7 871.21 10.17×
      mpfr
      		 968.67 8,384 8.66×
      powmath
      		 1,258 15,425 12.26×
      trig
      		 1,358 14,743 10.86×
      veccmp
      		 12,323 101,909 8.27×
      vecfp
      		 1,103 11,003 9.98×
      vecmath
      		 1,726 21,884 12.68×
      vecshuf
      		 445.93 3,844 8.62×
      vecwide
      		 21,068 191,272 9.08×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 5.6 52.2 9.32×
      bsearch
      		 198.48 1,820 9.17×
      bubblesort
      		 0.6 3.2 5.33×
      fibsearch
      		 222.04 2,251 10.14×
      heapsort
      		 6.6 65.6 9.94×
      hsearch
      		 4,060 39,370 9.70×
      insertionsort
      		 6.4 51.2 8.00×
      malloc
      		 1,687,759 22,633,766 13.41×
      mcontend
      		 116.09 3,823 32.94×
      mergesort
      		 21 223.19 10.63×
      qsort
      		 15 147.6 9.84×
      skiplist
      		 4,156 46,904 11.29×
      tree
      		 1.2 9.59 7.99×
      MemorySingleMultiScaling
      cache
      		 262,944 396,466 1.51×
      cachehammer
      		 250,756 3,537,140 14.11×
      cacheline
      		 60.7 540.94 8.91×
      l1cache
      		 180.14 1,550 8.60×
      memcpy
      		 302.59 2,456 8.12×
      memrate
      		 0.97 9.07 9.35×
      memthrash
      		 150.67 485.58 3.22×
      ptr-chase
      		 23,198,758 124,520,862 5.37×
      spinmem
      		 316.79 1,123 3.55×
      stream
      		 32.58 4,588 140.82×
      vm
      		 29,228 292,764 10.02×

      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.sn2.medium 28 GiB0
      ecs.sn2.large 416 GiB0
      ecs.sn2.xlarge 832 GiB0
      ecs.sn2.7xlarge 32128 GiB0
      ecs.sn2.13xlarge 56224 GiB0

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      ecs.sn2.3xlarge FAQs