ecs.se1ne.3xlarge by Alibaba Cloud

ecs.se1ne.3xlarge is a ecs.se1ne family (12 vCPUs, 96 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 12 vCPUs, 96 GiB of memory and 0 GB of storage. The pricing starts at 0.1197 USD per hour.
12 vCPU
96 GiB Memory
Spare SCore
8,837
(All-cores)
1,110
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.se1ne.3xlarge
Description
ecs.se1ne family (12 vCPUs, 96 GiB RAM, 0 GB storage)
Family
ecs.se1ne
Hw Virt
Status
active
Observed At
2026-10-26T23:54:08.508791

Availability

REGION / IDSPOTONDEMAND
Hong Kong (HK) / cn-hongkong
0.1386 USD/h 0.99 USD/h
Singapore (SG) / ap-southeast-1
- 0.99 USD/h
Jakarta (ID) / ap-southeast-5
- 0.99 USD/h
Dubai (AE) / me-east-1
0.1197 USD/h 1.197 USD/h
Hangzhou (CN) / cn-hangzhou
0.1708 USD/h 1.22 USD/h
Beijing (CN) / cn-beijing
- 1.22 USD/h
Shenzhen (CN) / cn-shenzhen
- 1.22 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
8269CY
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
8
Scalability
66.67

System Resources and Accelerators

MEMORY
Memory Amount
96 GiB
Memory Amount Actual
96 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 memory-optimized x86 instance offering 96 GB RAM across 12 dedicated vCPUs for caching and memory-intensive data workloads.

      Memory OptimizedGeneral Purpose

      Alibaba Cloud ecs.se1ne.3xlarge is a memory-optimized x86_64 instance provisioned with an Intel Xeon 8269CY processor running at 2.5 GHz across 6 physical cores and 12 dedicated vCPUs. Equipped with 96 GB of RAM, it supplies an 8 GB per vCPU memory allocation along with a 35 MB L3 cache. The server lacks attached local storage and GPUs, operating with a 2 Gbps baseline network bandwidth interface. Benchmark results indicate weak single-threaded compute and static web throughput, balanced by average multi-core execution and uncached memory bandwidth, demonstrated by a PassMark CPU score of 10,161.81 and 8.48 million Redis SET operations per second. With high RAM density relative to vCPU count, this instance provides strong cost efficiency for memory-intensive workloads like in-memory databases, enterprise caching layers, and medium-scale data processing tasks that do not require high single-core execution speeds.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.45Score
      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) 691,724 ops/sec 1,918,343 ops/sec 0.36 50.00% 50.00% -40.00%
      Redis RPS (pipeline=16, SET) 5,149,325 ops/sec 11,704,734 ops/sec 0.42 20.00% 20.00% -16.00%
      PassMark Memory Mark (composite) 1,805 2,416 0.75 10.00% 10.00% -2.80%
      Memory bandwidth (read, 16 MB ~ L3) 62,108 MB/sec 108,420 MB/sec 0.56 10.00% 10.00% -5.60%
      PassMark single-thread CPU 1,691 Mops/s 2,365 Mops/s 0.71 10.00% 10.00% -3.40%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 930

      Geekbench Multi-Core

      Score: 4,693

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 10,162
      Compression
      		 136,518
      Encryption
      		 4,090
      Extended Instructions
      		 9,206
      Floating Point Maths
      		 15,864
      Integer Maths
      		 29,414
      Physics
      		 1,040
      Prime Numbers
      		 61
      Single Threaded
      		 1,691
      String Sorting
      		 18,265

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,805
      Database Operations
      		 3,243
      Memory Latency
      		 76
      Memory Read Cached
      		 19,497
      Memory Read Uncached
      		 6,861
      Memory Write
      		 7,071

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 169.2 170.7 1.01×
      bitops
      		 100,332 664,550 6.62×
      branch
      		 122,367 1,110,787 9.08×
      funccall
      		 450.58 2,819 6.26×
      funcret
      		 9,115 79,398 8.71×
      hash
      		 103,913 920,247 8.86×
      intmath
      		 17,825 163,273 9.16×
      nop
      		 152,116 786,676 5.17×
      prime
      		 261,479 1,746,632 6.68×
      rotate
      		 76,768 579,400 7.55×
      str
      		 597,971 5,012,188 8.38×
      wcs
      		 427,501 2,717,668 6.36×
      CryptographySingleMultiScaling
      crypt
      		 1,936 11,308 5.84×
      CompressionSingleMultiScaling
      jpeg
      		 474.3 3,563 7.51×
      zlib
      		 43.83 393.26 8.97×
      HypervisorSingleMultiScaling
      clock
      		 8,488 70,347 8.29×
      clone
      		 363.62 2,061 5.67×
      context
      		 519.59 4,593 8.84×
      cpu-sched
      		 63 774.24 12.29×
      eventfd
      		 26,470 339,298 12.82×
      fault
      		 8,390 68,527 8.17×
      fork
      		 2,560 19,983 7.81×
      getrandom
      		 32,191 245,446 7.62×
      hrtimers
      		 140,322 909,684 6.48×
      mprotect
      		 539,867 730,385 1.35×
      mtx
      		 12,624,617 243,254,613 19.27×
      munmap
      		 1,810 15,447 8.53×
      null
      		 49,286 432,984 8.79×
      pipe
      		 395,951 1,686,412 4.26×
      priv-instr
      		 147,015 1,282,695 8.72×
      resched
      		 1,155,003 522,270 0.45×
      switch
      		 118,848 894,076 7.52×
      timermix
      		 111,476 964,811 8.65×
      tlb-shootdown
      		 9,475 21,261 2.24×
      tsc
      		 791,834 6,646,694 8.39×
      usersyscall
      		 97,920 827,018 8.45×
      vdso
      		 64,278,313 683,452,047 10.63×
      vfork
      		 18,579 115,589 6.22×
      x86syscall
      		 563,026 4,744,463 8.43×
      yield
      		 2,755,802 2,747,251 1.00×
      zero
      		 491,431 4,204,770 8.56×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 12,959 99,883 7.71×
      expmath
      		 2,138 19,569 9.15×
      fma
      		 522,398 5,416,644 10.37×
      fp
      		 132 1,179 8.93×
      fractal
      		 4.2 36.8 8.76×
      hyperbolic
      		 2,234 20,850 9.33×
      logmath
      		 3,628 32,744 9.02×
      matrix
      		 2,483 23,315 9.39×
      matrix-3d
      		 544.23 2,267 4.17×
      monte-carlo
      		 31.72 257.04 8.10×
      mpfr
      		 972.46 6,295 6.47×
      powmath
      		 1,264 11,542 9.13×
      trig
      		 1,359 11,021 8.11×
      veccmp
      		 12,364 72,826 5.89×
      vecfp
      		 1,796 13,475 7.50×
      vecmath
      		 1,680 15,895 9.46×
      vecshuf
      		 746.74 4,819 6.45×
      vecwide
      		 45,079 317,644 7.05×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 5.8 40 6.90×
      bsearch
      		 193.68 1,370 7.07×
      bubblesort
      		 0.6 2.4 4.00×
      fibsearch
      		 223.37 1,677 7.51×
      heapsort
      		 6.6 49.2 7.45×
      hsearch
      		 4,056 30,113 7.42×
      insertionsort
      		 6.4 38.4 6.00×
      malloc
      		 1,628,080 17,191,043 10.56×
      mcontend
      		 118.53 2,696 22.75×
      mergesort
      		 21.4 167.39 7.82×
      qsort
      		 15 110.2 7.35×
      skiplist
      		 4,165 35,034 8.41×
      tree
      		 1.2 7.2 6.00×
      MemorySingleMultiScaling
      cache
      		 253,643 470,291 1.85×
      cachehammer
      		 359,561 3,690,305 10.26×
      cacheline
      		 32.34 348.85 10.79×
      l1cache
      		 180.28 1,163 6.45×
      memcpy
      		 302.7 1,837 6.07×
      memrate
      		 0.94 6.57 6.99×
      memthrash
      		 153.86 374.56 2.43×
      ptr-chase
      		 27,240,889 95,640,443 3.51×
      spinmem
      		 199.39 459.14 2.30×
      stream
      		 32.68 2,698 82.55×
      vm
      		 16,453 290,692 17.67×

      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

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      ecs.se1ne.6xlarge 24192 GiB0
      ecs.se1ne.8xlarge 32256 GiB0
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      ecs.se1ne.3xlarge FAQs