ecs.se1ne.4xlarge by Alibaba Cloud

ecs.se1ne.4xlarge is a ecs.se1ne family (16 vCPUs, 128 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 16 vCPUs, 128 GiB of memory and 0 GB of storage. The pricing starts at 0.1862 USD per hour.
16 vCPU
128 GiB Memory
Spare SCore
11,777
(All-cores)
1,109
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.se1ne.4xlarge
Description
ecs.se1ne family (16 vCPUs, 128 GiB RAM, 0 GB storage)
Family
ecs.se1ne
Hw Virt
Status
active
Observed At
2026-10-27T10:36:44.938074

Availability

REGION / IDSPOTONDEMAND
Jakarta (ID) / ap-southeast-5
0.1862 USD/h 1.33 USD/h
Beijing (CN) / cn-beijing
- 1.55 USD/h
Hangzhou (CN) / cn-hangzhou
- 1.55 USD/h
Shanghai (CN) / cn-shanghai
- 1.55 USD/h
Shenzhen (CN) / cn-shenzhen
- 1.55 USD/h
Dubai (AE) / me-east-1
0.2234 USD/h 1.596 USD/h

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
8
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
256 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
256 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
8 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
10.6
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
      3 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A memory-optimized cloud instance providing 128 GB of RAM across 16 vCPUs for data caching, web serving, and database applications.

      Memory OptimizedGeneral Purpose

      Alibaba Cloud ecs.se1ne.4xlarge is a memory-optimized cloud server equipped with 16 dedicated vCPUs across 8 physical Intel Xeon 8269CY cores at 2.5 GHz, along with 128 GB of RAM. Built on the KVM hypervisor, it features an 8 GB per vCPU memory allocation, 3 Gbps baseline network bandwidth, and no bundled local storage or GPU hardware. Benchmark results highlight modest single-core throughput, balanced by multi-core capabilities that achieve average performance tiers in PassMark CPU tests and multi-threaded stress testing. Memory performance reaches an uncached read speed of 75.3 GB/sec, while operational benchmarks demonstrate 11.19 million Redis SET operations per second and 7.73 GB/sec in static web serving throughput. Given its memory capacity relative to compute resources, ecs.se1ne.4xlarge offers strong qualitative cost efficiency for memory-heavy workloads, including in-memory key-value stores, database servers, web processing, and multi-threaded data pipelines.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.56Score
      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) 918,618 ops/sec 1,918,343 ops/sec 0.48 50.00% 50.00% -31.00%
      Redis RPS (pipeline=16, SET) 6,725,862 ops/sec 11,704,734 ops/sec 0.56 20.00% 20.00% -11.00%
      PassMark Memory Mark (composite) 1,806 2,416 0.75 10.00% 10.00% -2.80%
      Memory bandwidth (read, 16 MB ~ L3) 80,065 MB/sec 108,420 MB/sec 0.73 10.00% 10.00% -3.10%
      PassMark single-thread CPU 1,684 Mops/s 2,365 Mops/s 0.71 10.00% 10.00% -3.40%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 893

      Geekbench Multi-Core

      Score: 5,757

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 13,025
      Compression
      		 181,003
      Encryption
      		 5,441
      Extended Instructions
      		 12,295
      Floating Point Maths
      		 21,094
      Integer Maths
      		 39,237
      Physics
      		 1,272
      Prime Numbers
      		 69
      Single Threaded
      		 1,684
      String Sorting
      		 24,141

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,806
      Database Operations
      		 4,272
      Memory Latency
      		 78
      Memory Read Cached
      		 19,463
      Memory Read Uncached
      		 6,710
      Memory Write
      		 6,925

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 168.1 165.37 0.98×
      bitops
      		 100,459 885,280 8.81×
      branch
      		 122,443 1,480,544 12.09×
      funccall
      		 449.63 3,754 8.35×
      funcret
      		 8,948 105,559 11.80×
      hash
      		 103,959 1,227,947 11.81×
      intmath
      		 17,918 218,437 12.19×
      nop
      		 151,963 1,048,881 6.90×
      prime
      		 261,299 2,327,202 8.91×
      rotate
      		 76,795 775,176 10.09×
      str
      		 609,845 6,322,266 10.37×
      wcs
      		 420,668 3,660,306 8.70×
      CryptographySingleMultiScaling
      crypt
      		 1,936 15,077 7.79×
      CompressionSingleMultiScaling
      jpeg
      		 475.24 4,756 10.01×
      zlib
      		 40.59 508.17 12.52×
      HypervisorSingleMultiScaling
      clock
      		 8,329 92,345 11.09×
      clone
      		 351.95 2,670 7.59×
      context
      		 542.59 6,128 11.29×
      cpu-sched
      		 66.15 998.55 15.10×
      eventfd
      		 26,638 446,015 16.74×
      fault
      		 8,412 90,087 10.71×
      fork
      		 2,508 25,092 10.00×
      getrandom
      		 32,070 327,035 10.20×
      hrtimers
      		 193,362 1,359,418 7.03×
      mprotect
      		 622,009 972,269 1.56×
      mtx
      		 14,411,615 299,431,744 20.78×
      munmap
      		 1,810 20,167 11.14×
      null
      		 51,577 577,343 11.19×
      pipe
      		 402,116 2,229,235 5.54×
      priv-instr
      		 149,367 1,707,683 11.43×
      resched
      		 1,557,775 638,320 0.41×
      switch
      		 103,339 1,183,658 11.45×
      timermix
      		 110,168 1,285,014 11.66×
      tlb-shootdown
      		 9,484 27,052 2.85×
      tsc
      		 791,159 8,859,644 11.20×
      usersyscall
      		 97,758 1,099,189 11.24×
      vdso
      		 63,660,008 907,185,797 14.25×
      vfork
      		 18,431 142,390 7.73×
      x86syscall
      		 534,695 6,311,344 11.80×
      yield
      		 3,561,860 3,730,604 1.05×
      zero
      		 496,340 5,595,746 11.27×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 12,961 132,031 10.19×
      expmath
      		 2,140 26,044 12.17×
      fma
      		 521,308 7,209,512 13.83×
      fp
      		 132 1,571 11.90×
      fractal
      		 4.2 48.81 11.62×
      hyperbolic
      		 2,225 27,810 12.50×
      logmath
      		 3,625 43,674 12.05×
      matrix
      		 2,482 30,854 12.43×
      matrix-3d
      		 577.62 2,832 4.90×
      monte-carlo
      		 31.97 342.77 10.72×
      mpfr
      		 971.19 8,365 8.61×
      powmath
      		 1,263 15,392 12.19×
      trig
      		 1,366 14,736 10.79×
      veccmp
      		 12,309 96,763 7.86×
      vecfp
      		 1,796 17,914 9.98×
      vecmath
      		 1,678 21,180 12.62×
      vecshuf
      		 745.87 6,435 8.63×
      vecwide
      		 45,144 422,989 9.37×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 5.8 54.2 9.34×
      bsearch
      		 197.17 1,817 9.21×
      bubblesort
      		 0.6 3.2 5.33×
      fibsearch
      		 223 2,265 10.16×
      heapsort
      		 6.6 65 9.85×
      hsearch
      		 4,062 39,267 9.67×
      insertionsort
      		 6.4 51.2 8.00×
      malloc
      		 1,624,541 21,118,881 13.00×
      mcontend
      		 118.75 3,564 30.01×
      mergesort
      		 21.2 221.39 10.44×
      qsort
      		 15 147 9.80×
      skiplist
      		 4,167 46,792 11.23×
      tree
      		 1.2 9.59 7.99×
      MemorySingleMultiScaling
      cache
      		 263,610 389,438 1.48×
      cachehammer
      		 364,539 4,911,678 13.47×
      cacheline
      		 33.94 525.03 15.47×
      l1cache
      		 180.3 1,550 8.60×
      memcpy
      		 302.9 2,439 8.05×
      memrate
      		 0.94 8.7 9.26×
      memthrash
      		 125.72 482.58 3.84×
      ptr-chase
      		 25,239,207 123,517,873 4.89×
      spinmem
      		 199.59 559.74 2.80×
      stream
      		 33.17 4,596 138.57×
      vm
      		 17,083 291,689 17.07×

      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
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      ecs.se1ne.3xlarge 1296 GiB0
      ecs.se1ne.6xlarge 24192 GiB0
      ecs.se1ne.8xlarge 32256 GiB0
      ecs.se1ne.14xlarge 56480 GiB0

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      ecs.se1ne.4xlarge FAQs