ecs.sn1ne.8xlarge by Alibaba Cloud

ecs.sn1ne.8xlarge is a ecs.sn1ne family (32 vCPUs, 64 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 32 vCPUs, 64 GiB of memory and 0 GB of storage. The pricing starts at 0.2307 USD per hour.
32 vCPU
64 GiB Memory
Spare SCore
23,529
(All-cores)
1,107
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.sn1ne.8xlarge
Description
ecs.sn1ne family (32 vCPUs, 64 GiB RAM, 0 GB storage)
Family
ecs.sn1ne
Hw Virt
Status
active
Observed At
2026-10-28T13:49:57.175599

Availability

REGION / IDSPOTONDEMAND
Jakarta (ID) / ap-southeast-5
0.2307 USD/h 1.648 USD/h
Beijing (CN) / cn-beijing
- 1.72 USD/h
Hangzhou (CN) / cn-hangzhou
- 1.72 USD/h
Shenzhen (CN) / cn-shenzhen
- 1.72 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
E5-2682v4
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
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
      6 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A 32-vCPU x86 compute-optimized instance delivering balanced multi-core benchmark performance for parallel workloads and scalable web services.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.sn1ne.8xlarge is a compute-optimized instance equipped with 32 vCPUs across 16 physical Intel Xeon E5-2682v4 cores clocked at 2.5 GHz, paired with 64 GB of RAM. Running under KVM virtualization, this x86_64 server provides a baseline network bandwidth of 6 Gbps and includes no local instance storage. Benchmark evaluations highlight a clear tradeoff between single-threaded and parallel performance: while single-core execution scores in the lower quartile across tests like Geekbench and gzip, multi-core scaling reaches middle-tier levels with strong results in PassMark and multi-threaded decompression tests. The 2:1 vCPU-to-RAM ratio delivers compute density for parallel tasks, enabling 23.22 million Redis SET operations per second and stable web serving throughput. Overall, ecs.sn1ne.8xlarge fits highly parallel application servers, microservice clusters, and batch computing tasks that prioritize core count over individual thread frequency.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.95Score
      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) 1,896,960 ops/sec 1,919,289 ops/sec 1 50.00% 50.00% 0.00%
      Redis RPS (pipeline=16, SET) 13,336,351 ops/sec 11,728,058 ops/sec 1.1 20.00% 20.00% +1.90%
      PassMark Memory Mark (composite) 1,812 2,416 0.75 10.00% 10.00% -2.80%
      Memory bandwidth (read, 16 MB ~ L3) 97,590 MB/sec 108,466 MB/sec 0.89 10.00% 10.00% -1.20%
      PassMark single-thread CPU 1,694 Mops/s 2,365 Mops/s 0.71 10.00% 10.00% -3.40%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 963

      Geekbench Multi-Core

      Score: 8,384

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 23,058
      Compression
      		 367,578
      Encryption
      		 10,870
      Extended Instructions
      		 23,974
      Floating Point Maths
      		 42,156
      Integer Maths
      		 78,500
      Physics
      		 2,176
      Prime Numbers
      		 104
      Single Threaded
      		 1,694
      String Sorting
      		 46,527

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,812
      Database Operations
      		 8,547
      Memory Latency
      		 78
      Memory Read Cached
      		 19,547
      Memory Read Uncached
      		 6,489
      Memory Write
      		 6,943

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 175.25 153.6 0.88×
      bitops
      		 100,537 1,763,403 17.54×
      branch
      		 122,335 2,953,485 24.14×
      funccall
      		 450.56 7,618 16.91×
      funcret
      		 9,200 213,417 23.20×
      hash
      		 103,807 2,447,225 23.57×
      intmath
      		 18,001 435,137 24.17×
      nop
      		 151,778 2,095,231 13.80×
      prime
      		 265,026 4,762,366 17.97×
      rotate
      		 76,636 1,534,510 20.02×
      str
      		 635,242 13,386,061 21.07×
      wcs
      		 416,337 7,148,781 17.17×
      CryptographySingleMultiScaling
      crypt
      		 1,938 30,235 15.60×
      CompressionSingleMultiScaling
      jpeg
      		 450.54 8,894 19.74×
      zlib
      		 47.53 1,029 21.65×
      HypervisorSingleMultiScaling
      clock
      		 8,441 174,918 20.72×
      clone
      		 377.2 5,206 13.80×
      context
      		 536.99 12,713 23.67×
      cpu-sched
      		 66.63 2,026 30.41×
      eventfd
      		 26,157 499,824 19.11×
      fault
      		 8,618 161,365 18.73×
      fork
      		 2,531 46,082 18.21×
      getrandom
      		 32,432 656,696 20.25×
      hrtimers
      		 598,465 2,831,679 4.73×
      mprotect
      		 643,047 2,018,328 3.14×
      mtx
      		 14,087,004 646,260,181 45.88×
      munmap
      		 1,817 33,753 18.58×
      null
      		 53,209 1,198,451 22.52×
      pipe
      		 401,029 4,398,273 10.97×
      priv-instr
      		 156,039 3,520,161 22.56×
      resched
      		 2,496,971 1,334,908 0.53×
      switch
      		 137,874 2,377,699 17.25×
      timermix
      		 111,705 2,612,068 23.38×
      tlb-shootdown
      		 9,455 45,467 4.81×
      tsc
      		 789,696 17,707,246 22.42×
      usersyscall
      		 96,697 2,279,016 23.57×
      vdso
      		 64,356,747 1,809,919,714 28.12×
      vfork
      		 18,449 185,374 10.05×
      x86syscall
      		 552,573 13,058,581 23.63×
      yield
      		 7,240,083 7,772,786 1.07×
      zero
      		 489,645 11,589,867 23.67×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 12,968 265,589 20.48×
      expmath
      		 2,137 52,235 24.44×
      fma
      		 479,452 13,244,888 27.63×
      fp
      		 132 3,136 23.76×
      fractal
      		 4.2 97.43 23.20×
      hyperbolic
      		 2,234 55,626 24.90×
      logmath
      		 3,612 86,968 24.08×
      matrix
      		 2,476 61,633 24.89×
      matrix-3d
      		 561.71 3,958 7.05×
      monte-carlo
      		 32.23 782.07 24.27×
      mpfr
      		 983.11 17,142 17.44×
      powmath
      		 1,263 30,903 24.48×
      trig
      		 1,365 29,853 21.88×
      veccmp
      		 12,302 192,688 15.66×
      vecfp
      		 1,763 34,689 19.68×
      vecmath
      		 1,678 42,335 25.23×
      vecshuf
      		 745.24 12,802 17.18×
      vecwide
      		 45,008 846,249 18.80×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 5.8 105.4 18.17×
      bsearch
      		 197.22 3,649 18.50×
      bubblesort
      		 0.6 6.4 10.67×
      fibsearch
      		 223.34 4,532 20.29×
      heapsort
      		 6.6 130.2 19.73×
      hsearch
      		 4,064 78,548 19.33×
      insertionsort
      		 6.4 102.4 16.00×
      malloc
      		 1,628,109 30,923,856 18.99×
      mcontend
      		 95.93 5,511 57.45×
      mergesort
      		 21.2 428.99 20.24×
      qsort
      		 15 294.19 19.61×
      skiplist
      		 4,158 94,143 22.64×
      tree
      		 1.2 12.78 10.65×
      MemorySingleMultiScaling
      cache
      		 261,308 474,196 1.81×
      cachehammer
      		 368,050 9,134,387 24.82×
      cacheline
      		 23.98 2,106 87.84×
      l1cache
      		 179.82 3,073 17.09×
      memcpy
      		 302.91 4,874 16.09×
      memrate
      		 0.95 11.44 12.04×
      memthrash
      		 135 780.85 5.78×
      ptr-chase
      		 28,747,002 232,715,620 8.10×
      spinmem
      		 190.59 1,209 6.34×
      stream
      		 34.36 10,009 291.31×
      vm
      		 16,233 295,094 18.18×

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

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      ecs.sn1ne.8xlarge FAQs