ecs.sn2.7xlarge by Alibaba Cloud

ecs.sn2.7xlarge is a ecs.sn2 family (32 vCPUs, 128 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 32 vCPUs, 128 GiB of memory and 0 GB of storage. The pricing starts at 0.3371 USD per hour.
32 vCPU
128 GiB Memory
Spare SCore
23,516
(All-cores)
1,109
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.sn2.7xlarge
Description
ecs.sn2 family (32 vCPUs, 128 GiB RAM, 0 GB storage)
Family
ecs.sn2
Hw Virt
Status
active
Observed At
2026-10-16T13:33:29.207515

Availability

REGION / IDSPOTONDEMAND
Hangzhou (CN) / cn-hangzhou
0.3371 USD/h 2.809 USD/h
Beijing (CN) / cn-beijing
- 2.809 USD/h
Shenzhen (CN) / cn-shenzhen
- 2.809 USD/h

Processor

vCPUs
32
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
16
CPU Speed
2.5 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8163
CPU L1D Cache
32 KiB
CPU L1D Cache Total
512 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
512 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
16 MiB
CPU L3 Cache
33 MiB
CPU L3 Cache Total
33 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
21.2
Scalability
66.25

System Resources and Accelerators

MEMORY
Memory Amount
128 GiB
Memory Amount Actual
128 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
      6 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A balanced 32 vCPU and 128 GB RAM instance providing steady multi-threaded execution for web backends and general enterprise workloads.

      General Purpose

      Alibaba Cloud ecs.sn2.7xlarge is a general-purpose instance featuring 32 dedicated vCPUs (16 physical cores on an Intel Xeon 8163 processor at 2.5 GHz) and 128 GB of RAM. Operating under the KVM hypervisor, it provides a 1:4 vCPU-to-RAM ratio, 33 MB of L3 cache, and support for AVX-512F instructions. Network performance is rated at a 6 Gbps baseline, with no local storage or GPUs included. Benchmark results demonstrate weak single-threaded performance in gzip compression and single-core synthetic tests, but reliable middle-tier throughput in multi-core tasks, including PassMark CPU testing, Clang software compilation, and multi-threaded bzip3 decompression. The server delivers average performance for Redis operations, database tasks, static web serving, and medium-scale LLM prompt processing. This resource profile offers balanced cost efficiency for multi-threaded general-purpose compute, web application backends, and containerized enterprise services.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.94Score
      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) 1,878,582 ops/sec 1,918,343 ops/sec 1 50.00% 50.00% 0.00%
      Redis RPS (pipeline=16, SET) 13,316,143 ops/sec 11,704,734 ops/sec 1.1 20.00% 20.00% +1.90%
      PassMark Memory Mark (composite) 1,825 2,416 0.75 10.00% 10.00% -2.80%
      Memory bandwidth (read, 16 MB ~ L3) 92,162 MB/sec 108,420 MB/sec 0.84 10.00% 10.00% -1.70%
      PassMark single-thread CPU 1,695 Mops/s 2,365 Mops/s 0.71 10.00% 10.00% -3.40%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 967

      Geekbench Multi-Core

      Score: 8,400

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      23,057
      Compression
      362,538
      Encryption
      10,863
      Extended Instructions
      23,936
      Floating Point Maths
      42,181
      Integer Maths
      78,716
      Physics
      2,159
      Prime Numbers
      106
      Single Threaded
      1,695
      String Sorting
      46,842

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      1,825
      Database Operations
      8,441
      Memory Latency
      78
      Memory Read Cached
      19,415
      Memory Read Uncached
      6,467
      Memory Write
      6,933

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      173.74 155.05 0.89×
      bitops
      100,556 1,764,346 17.55×
      branch
      122,365 2,956,579 24.16×
      funccall
      450.89 7,602 16.86×
      funcret
      9,113 212,808 23.35×
      hash
      103,859 2,453,914 23.63×
      intmath
      17,949 434,722 24.22×
      nop
      151,905 2,093,805 13.78×
      prime
      264,842 4,771,738 18.02×
      rotate
      76,739 1,550,320 20.20×
      str
      658,769 12,945,654 19.65×
      wcs
      417,611 7,377,432 17.67×
      CryptographySingleMultiScaling
      crypt
      1,940 30,225 15.58×
      CompressionSingleMultiScaling
      jpeg
      450.95 8,893 19.72×
      zlib
      46.47 1,038 22.33×
      HypervisorSingleMultiScaling
      clock
      8,439 174,049 20.62×
      clone
      369.42 5,255 14.23×
      context
      561.19 12,757 22.73×
      cpu-sched
      73.07 2,004 27.43×
      eventfd
      26,020 497,967 19.14×
      fault
      8,614 158,745 18.43×
      fork
      2,557 46,304 18.11×
      getrandom
      32,417 656,608 20.26×
      hrtimers
      127,221 2,520,143 19.81×
      mprotect
      638,825 2,013,731 3.15×
      mtx
      13,415,603 638,082,024 47.56×
      munmap
      1,835 33,778 18.41×
      null
      49,978 1,194,458 23.90×
      pipe
      406,261 4,329,125 10.66×
      priv-instr
      149,799 3,511,601 23.44×
      resched
      2,482,264 1,384,787 0.56×
      switch
      52,236 2,371,342 45.40×
      timermix
      106,138 2,599,843 24.49×
      tlb-shootdown
      9,577 45,488 4.75×
      tsc
      790,940 17,692,220 22.37×
      usersyscall
      101,218 2,280,933 22.53×
      vdso
      64,408,501 1,570,182,897 24.38×
      vfork
      18,336 187,007 10.20×
      x86syscall
      552,822 13,095,513 23.69×
      yield
      7,063,530 7,602,248 1.08×
      zero
      485,182 11,474,540 23.65×
      CPU float/SIMDSingleMultiScaling
      eigen
      12,997 270,307 20.80×
      expmath
      2,142 52,287 24.41×
      fma
      479,944 13,238,209 27.58×
      fp
      132 3,141 23.79×
      fractal
      4.2 97.43 23.20×
      hyperbolic
      2,209 55,572 25.16×
      logmath
      3,615 87,186 24.12×
      matrix
      2,474 61,688 24.93×
      matrix-3d
      567.91 3,902 6.87×
      monte-carlo
      31.95 800.47 25.05×
      mpfr
      984.16 17,170 17.45×
      powmath
      1,261 30,901 24.51×
      trig
      1,358 29,819 21.96×
      veccmp
      12,355 193,178 15.64×
      vecfp
      1,764 34,763 19.71×
      vecmath
      1,678 42,202 25.15×
      vecshuf
      745.38 12,810 17.19×
      vecwide
      45,045 846,159 18.78×
      AlgorithmsSingleMultiScaling
      bitonicsort
      5.8 106.8 18.41×
      bsearch
      197.15 3,564 18.08×
      bubblesort
      0.6 6.4 10.67×
      fibsearch
      223.25 4,535 20.31×
      heapsort
      6.6 130.6 19.79×
      hsearch
      4,059 78,309 19.29×
      insertionsort
      6.4 102.4 16.00×
      malloc
      1,643,715 32,556,861 19.81×
      mcontend
      94.26 5,437 57.68×
      mergesort
      21.2 428.59 20.22×
      qsort
      15 294.19 19.61×
      skiplist
      4,154 94,071 22.65×
      tree
      1.2 12.78 10.65×
      MemorySingleMultiScaling
      cache
      257,586 480,885 1.87×
      cachehammer
      359,908 9,159,268 25.45×
      cacheline
      30.56 2,152 70.42×
      l1cache
      180.05 3,083 17.12×
      memcpy
      302.95 4,863 16.05×
      memrate
      0.94 11.44 12.17×
      memthrash
      139.12 769.99 5.53×
      ptr-chase
      30,411,058 232,933,590 7.66×
      spinmem
      174.19 1,114 6.39×
      stream
      35.27 10,016 283.97×
      vm
      16,294 295,087 18.11×

      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.sn2.3xlarge 1664 GiB0
      ecs.sn2.13xlarge 56224 GiB0

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      ecs.sn2.7xlarge FAQs