ecs.sn1ne.3xlarge by Alibaba Cloud

ecs.sn1ne.3xlarge is a ecs.sn1ne family (12 vCPUs, 24 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 12 vCPUs, 24 GiB of memory and 0 GB of storage. The pricing starts at 0.0848 USD per hour.
12 vCPU
24 GiB Memory
Spare SCore
8,800
(All-cores)
1,107
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.sn1ne.3xlarge
Description
ecs.sn1ne family (12 vCPUs, 24 GiB RAM, 0 GB storage)
Family
ecs.sn1ne
Hw Virt
Status
active
Observed At
2026-10-28T23:18:20.639748

Availability

REGION / IDSPOTONDEMAND
Hong Kong (HK) / cn-hongkong
- 0.588 USD/h
Jakarta (ID) / ap-southeast-5
0.0848 USD/h 0.606 USD/h
Shanghai (CN) / cn-shanghai
0.117 USD/h 0.65 USD/h
Beijing (CN) / cn-beijing
- 0.65 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.65 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.65 USD/h

Processor

vCPUs
12
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
6
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
192 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
192 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
6 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
7.9
Scalability
65.83

System Resources and Accelerators

MEMORY
Memory Amount
24 GiB
Memory Amount Actual
24 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
      2.5 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated multi-core virtual server offering balanced multi-threaded compute performance and moderate memory capacity for predictable workloads.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.sn1ne.3xlarge is a compute-optimized virtual server featuring 12 dedicated vCPUs and 24.0 GB of RAM, powered by an Intel Xeon E5-2682v4 processor running at 2.5 GHz. Built on the x86_64 architecture with KVM virtualization, this instance provides a 1:2 vCPU-to-RAM ratio and lacks local storage or GPU accelerators. Performance benchmarks show a contrast between weak single-core capabilities and average multi-core execution, with stress-ng and Geekbench multi-core scores landing in the middle 50%. Memory bandwidth and Redis SET operations also perform at average levels. Given its dedicated CPU allocation and 2 Gbps baseline network bandwidth, this instance is qualitatively cost-efficient for predictable, multi-threaded workloads. It is best suited for moderate database operations, multi-threaded processing, and general-purpose applications that do not require high single-thread performance or local NVMe storage.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.46Score
      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) 697,516 ops/sec 1,919,289 ops/sec 0.37 50.00% 50.00% -39.00%
      Redis RPS (pipeline=16, SET) 5,068,126 ops/sec 11,728,058 ops/sec 0.42 20.00% 20.00% -16.00%
      PassMark Memory Mark (composite) 1,749 2,416 0.71 10.00% 10.00% -3.40%
      Memory bandwidth (read, 16 MB ~ L3) 68,968 MB/sec 108,466 MB/sec 0.63 10.00% 10.00% -4.50%
      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: 920

      Geekbench Multi-Core

      Score: 4,617

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 10,234
      Compression
      		 135,075
      Encryption
      		 4,084
      Extended Instructions
      		 9,109
      Floating Point Maths
      		 15,818
      Integer Maths
      		 29,458
      Physics
      		 1,230
      Prime Numbers
      		 70
      Single Threaded
      		 1,685
      String Sorting
      		 18,264

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,749
      Database Operations
      		 3,321
      Memory Latency
      		 74
      Memory Read Cached
      		 19,550
      Memory Read Uncached
      		 6,851
      Memory Write
      		 7,175

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 201.2 128.76 0.64×
      bitops
      		 100,273 661,035 6.59×
      branch
      		 122,158 1,105,295 9.05×
      funccall
      		 448.98 2,820 6.28×
      funcret
      		 9,052 79,052 8.73×
      hash
      		 103,761 918,314 8.85×
      intmath
      		 17,825 162,401 9.11×
      nop
      		 151,536 783,839 5.17×
      prime
      		 260,229 1,743,025 6.70×
      rotate
      		 76,592 577,548 7.54×
      str
      		 658,063 4,619,958 7.02×
      wcs
      		 414,942 2,709,470 6.53×
      CryptographySingleMultiScaling
      crypt
      		 1,931 11,253 5.83×
      CompressionSingleMultiScaling
      jpeg
      		 472.1 3,600 7.62×
      zlib
      		 42.43 387.74 9.14×
      HypervisorSingleMultiScaling
      clock
      		 8,530 67,030 7.86×
      clone
      		 268.28 1,915 7.14×
      context
      		 535.59 4,759 8.89×
      cpu-sched
      		 61.82 757 12.25×
      eventfd
      		 21,847 331,015 15.15×
      fault
      		 8,365 57,922 6.92×
      fork
      		 2,159 16,241 7.52×
      getrandom
      		 32,099 244,836 7.63×
      hrtimers
      		 351,256 918,606 2.62×
      mprotect
      		 457,768 728,697 1.59×
      mtx
      		 12,743,964 231,467,444 18.16×
      munmap
      		 1,595 13,073 8.19×
      null
      		 51,164 444,879 8.70×
      pipe
      		 374,973 1,606,132 4.28×
      priv-instr
      		 153,066 1,285,240 8.40×
      resched
      		 1,142,216 478,850 0.42×
      switch
      		 57,020 889,774 15.60×
      timermix
      		 110,742 964,097 8.71×
      tlb-shootdown
      		 6,759 16,861 2.49×
      tsc
      		 789,440 6,623,159 8.39×
      usersyscall
      		 98,155 833,463 8.49×
      vdso
      		 64,225,851 678,926,376 10.57×
      vfork
      		 14,633 86,796 5.93×
      x86syscall
      		 563,070 4,859,845 8.63×
      yield
      		 2,737,019 2,768,366 1.01×
      zero
      		 494,069 4,306,075 8.72×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 12,937 99,183 7.67×
      expmath
      		 2,128 19,490 9.16×
      fma
      		 521,063 5,382,867 10.33×
      fp
      		 132 1,167 8.84×
      fractal
      		 4.2 36.6 8.71×
      hyperbolic
      		 2,116 20,797 9.83×
      logmath
      		 3,617 32,586 9.01×
      matrix
      		 2,482 23,048 9.29×
      matrix-3d
      		 540.3 2,356 4.36×
      monte-carlo
      		 31.9 257 8.06×
      mpfr
      		 970.32 6,265 6.46×
      powmath
      		 1,260 11,496 9.13×
      trig
      		 1,363 11,024 8.09×
      veccmp
      		 12,331 71,935 5.83×
      vecfp
      		 1,791 13,341 7.45×
      vecmath
      		 1,680 15,832 9.42×
      vecshuf
      		 744.4 4,792 6.44×
      vecwide
      		 45,018 316,155 7.02×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 5.8 40 6.90×
      bsearch
      		 196.02 1,342 6.84×
      bubblesort
      		 0.6 2.4 4.00×
      fibsearch
      		 222.99 1,681 7.54×
      heapsort
      		 6.6 48.6 7.36×
      hsearch
      		 4,051 30,214 7.46×
      insertionsort
      		 6.4 38.4 6.00×
      malloc
      		 1,544,778 13,403,323 8.68×
      mcontend
      		 83.16 2,283 27.46×
      mergesort
      		 21.2 167.19 7.89×
      qsort
      		 15 110.2 7.35×
      skiplist
      		 4,156 34,553 8.31×
      tree
      		 1 8 8.00×
      MemorySingleMultiScaling
      cache
      		 225,177 358,289 1.59×
      cachehammer
      		 362,791 3,614,673 9.96×
      cacheline
      		 23.94 228.75 9.56×
      l1cache
      		 178.65 1,156 6.47×
      memcpy
      		 302.68 1,828 6.04×
      memrate
      		 0.94 6.55 6.97×
      memthrash
      		 122.66 369.69 3.01×
      ptr-chase
      		 8,484,201 91,115,615 10.74×
      spinmem
      		 178.79 480.94 2.69×
      stream
      		 30.07 2,710 90.14×
      vm
      		 15,739 290,526 18.46×

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

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      ecs.sn1ne.3xlarge FAQs