ecs.sn1.7xlarge by Alibaba Cloud

ecs.sn1.7xlarge is a ecs.sn1 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 2.097 USD per hour.
32 vCPU
64 GiB Memory
Spare SCore
23,558
(All-cores)
1,110
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.sn1.7xlarge
Description
ecs.sn1 family (32 vCPUs, 64 GiB RAM, 0 GB storage)
Family
ecs.sn1
Hw Virt
Status
active
Observed At
2026-10-28T16:51:40.638772

Availability

REGION / IDSPOTONDEMAND
Jakarta (ID) / ap-southeast-5
- 2.097 USD/h
Beijing (CN) / cn-beijing
- 2.097 USD/h
Hangzhou (CN) / cn-hangzhou
- 2.097 USD/h
Shenzhen (CN) / cn-shenzhen
- 2.097 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
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 instance with a 1:2 RAM ratio, delivering multi-threaded capability for parallel processing and microservices.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.sn1.7xlarge is a compute-oriented x86_64 instance featuring an Intel Xeon 8163 processor operating at 2.5 GHz across 16 physical cores and 32 vCPUs. It comes provisioned with 64.0 GB of memory, representing a 1:2 vCPU-to-RAM ratio, alongside a 33 MB L3 cache and AVX-512 instruction set capabilities. The server does not include local disk storage, utilizing a 6 Gbps baseline network connection for remote storage and connectivity. Performance metrics demonstrate modest single-core throughput alongside balanced multi-core scaling, reaching average benchmark tiers in multi-threaded Geekbench tests, Redis SET operations, and static web serving. The resource configuration provides an efficient profile for parallel processing tasks that do not require high memory density per core. Optimal workload implementations include microservices, CI/CD compilation pipelines, batch execution jobs, and distributed application backends.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.93Score
      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) 1,866,822 ops/sec 1,919,289 ops/sec 1 50.00% 50.00% 0.00%
      Redis RPS (pipeline=16, SET) 13,278,938 ops/sec 11,728,058 ops/sec 1.1 20.00% 20.00% +1.90%
      PassMark Memory Mark (composite) 1,810 2,416 0.75 10.00% 10.00% -2.80%
      Memory bandwidth (read, 16 MB ~ L3) 79,057 MB/sec 108,466 MB/sec 0.72 10.00% 10.00% -3.20%
      PassMark single-thread CPU 1,693 Mops/s 2,365 Mops/s 0.71 10.00% 10.00% -3.40%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 960

      Geekbench Multi-Core

      Score: 8,426

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 22,982
      Compression
      		 366,076
      Encryption
      		 10,872
      Extended Instructions
      		 23,772
      Floating Point Maths
      		 42,262
      Integer Maths
      		 78,750
      Physics
      		 2,039
      Prime Numbers
      		 104
      Single Threaded
      		 1,693
      String Sorting
      		 46,446

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,810
      Database Operations
      		 8,482
      Memory Latency
      		 81
      Memory Read Cached
      		 19,392
      Memory Read Uncached
      		 6,847
      Memory Write
      		 7,324

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 177.16 144.57 0.82×
      bitops
      		 100,589 1,766,511 17.56×
      branch
      		 122,496 2,960,515 24.17×
      funccall
      		 451.19 7,625 16.90×
      funcret
      		 9,251 213,476 23.08×
      hash
      		 103,525 2,452,516 23.69×
      intmath
      		 17,693 435,364 24.61×
      nop
      		 152,095 2,097,287 13.79×
      prime
      		 264,444 4,775,769 18.06×
      rotate
      		 76,793 1,539,836 20.05×
      str
      		 659,663 13,395,479 20.31×
      wcs
      		 406,770 7,374,199 18.13×
      CryptographySingleMultiScaling
      crypt
      		 1,941 30,242 15.58×
      CompressionSingleMultiScaling
      jpeg
      		 449.99 8,849 19.66×
      zlib
      		 38.21 1,104 28.88×
      HypervisorSingleMultiScaling
      clock
      		 8,547 175,051 20.48×
      clone
      		 347.42 5,076 14.61×
      context
      		 557.99 12,695 22.75×
      cpu-sched
      		 76.13 2,053 26.97×
      eventfd
      		 26,188 499,013 19.06×
      fault
      		 8,651 159,559 18.44×
      fork
      		 2,535 45,698 18.02×
      getrandom
      		 32,099 656,721 20.46×
      hrtimers
      		 156,816 2,557,432 16.31×
      mprotect
      		 632,147 2,011,504 3.18×
      mtx
      		 14,194,335 625,220,601 44.05×
      munmap
      		 1,802 33,758 18.74×
      null
      		 52,754 1,194,952 22.65×
      pipe
      		 398,663 4,458,780 11.18×
      priv-instr
      		 148,923 3,505,947 23.54×
      resched
      		 2,443,370 1,322,908 0.54×
      switch
      		 97,000 2,377,171 24.51×
      timermix
      		 109,237 2,615,970 23.95×
      tlb-shootdown
      		 9,682 44,579 4.60×
      tsc
      		 791,801 17,717,728 22.38×
      usersyscall
      		 100,744 2,270,679 22.54×
      vdso
      		 64,405,792 1,814,798,513 28.18×
      vfork
      		 18,266 185,105 10.13×
      x86syscall
      		 579,240 13,054,835 22.54×
      yield
      		 7,124,295 7,584,573 1.06×
      zero
      		 507,531 11,499,197 22.66×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 13,011 263,528 20.25×
      expmath
      		 2,139 52,353 24.48×
      fma
      		 479,877 13,274,853 27.66×
      fp
      		 132 3,143 23.81×
      fractal
      		 4.2 97.62 23.24×
      hyperbolic
      		 2,084 55,623 26.69×
      logmath
      		 3,620 87,224 24.10×
      matrix
      		 2,466 61,786 25.06×
      matrix-3d
      		 551.16 3,354 6.08×
      monte-carlo
      		 31.78 781.5 24.59×
      mpfr
      		 982.89 17,180 17.48×
      powmath
      		 1,267 30,863 24.36×
      trig
      		 1,369 29,899 21.85×
      veccmp
      		 12,387 192,599 15.55×
      vecfp
      		 1,765 34,826 19.73×
      vecmath
      		 1,681 42,365 25.21×
      vecshuf
      		 747.15 12,823 17.16×
      vecwide
      		 45,080 844,800 18.74×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 5.8 106.4 18.34×
      bsearch
      		 197.67 3,654 18.48×
      bubblesort
      		 0.6 6.4 10.67×
      fibsearch
      		 223.57 4,550 20.35×
      heapsort
      		 6.6 131 19.85×
      hsearch
      		 4,069 78,468 19.29×
      insertionsort
      		 6.4 102.4 16.00×
      malloc
      		 1,595,706 30,972,512 19.41×
      mcontend
      		 106.74 7,358 68.93×
      mergesort
      		 21.4 430.78 20.13×
      qsort
      		 15 293.99 19.60×
      skiplist
      		 4,166 94,168 22.61×
      tree
      		 1.2 12.78 10.65×
      MemorySingleMultiScaling
      cache
      		 263,934 467,990 1.77×
      cachehammer
      		 357,210 9,105,311 25.49×
      cacheline
      		 27.16 2,170 79.90×
      l1cache
      		 180.42 3,087 17.11×
      memcpy
      		 303.39 4,872 16.06×
      memrate
      		 0.94 5.72 6.09×
      memthrash
      		 171.4 662.67 3.87×
      ptr-chase
      		 26,610,028 228,180,843 8.57×
      spinmem
      		 197.59 1,151 5.82×
      stream
      		 35.06 8,476 241.76×
      vm
      		 16,807 295,052 17.56×

      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.sn1.medium 24 GiB0
      ecs.sn1.large 48 GiB0
      ecs.sn1.xlarge 816 GiB0
      ecs.sn1.3xlarge 1632 GiB0

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      ecs.sn1.7xlarge FAQs