ecs.i3.4xlarge by Alibaba Cloud

ecs.i3.4xlarge is a ecs.i3 family (16 vCPUs, 128 GiB RAM, 3839 GB ssd storage) server offered by Alibaba Cloud with 16 vCPUs, 128 GiB of memory and 3.84 TB of storage. The pricing starts at 1.1469 USD per hour.
16 vCPU
128 GiB Memory
3.84 TB Storage
Spare SCore
14,015
(All-cores)
1,315
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.i3.4xlarge
Description
ecs.i3 family (16 vCPUs, 128 GiB RAM, 3839 GB ssd storage)
Family
ecs.i3
Hw Virt
Status
active
Observed At
2026-10-25T20:37:05.504701

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
- 1.1469 USD/h
Virginia (US) / us-east-1
- 1.263 USD/h
Beijing (CN) / cn-beijing
- 1.2744 USD/h
Chengdu (CN) / cn-chengdu
- 1.2744 USD/h
Guangzhou (CN) / cn-guangzhou
- 1.2744 USD/h
Hangzhou (CN) / cn-hangzhou
- 1.2744 USD/h
Shanghai (CN) / cn-shanghai
- 1.2744 USD/h
Shenzhen (CN) / cn-shenzhen
- 1.2744 USD/h
Frankfurt (DE) / eu-central-1
- 1.487 USD/h
Singapore (SG) / ap-southeast-1
- 1.511 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, monitor, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, abm, 3dnowprefetch, pti, fsgsbase, tsc_adjust, bmi1, avx2, smep, bmi2, erms, invpcid, avx512f, avx512dq, rdseed, adx, smap, clflushopt, clwb, avx512cd, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, arat, avx512_vnni
Ecpus
10.7
Scalability
66.88

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
    3839 GB
    Storage Type
    ssd
    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 storage-heavy server featuring dedicated Intel processors, 128 GB RAM, and 3.8 TB of local SSD for database workloads.

      Storage & DatabaseMemory Optimized

      Alibaba Cloud ecs.i3.4xlarge is an x86_64 server featuring 16 dedicated vCPUs from an Intel Xeon 8269CY processor, 128.0 GB of RAM, and a bundled 3839 GB local SSD. Operating on a KVM hypervisor, it delivers a baseline network bandwidth of 6 Gbps. Performance benchmarks show a distinct tradeoff: single-core CPU execution and single-threaded gzip compression are weak, placing in the bottom 25%, while multi-core CPU, memory bandwidth, and database operations perform in the average tier. With a 1:8 vCPU-to-RAM ratio and significant local SSD capacity, this instance is optimized for storage-intensive and database workloads. It is highly suitable for database hosting, Redis caching, and static web serving, offering a balanced resource profile for data-heavy applications that do not require high single-threaded compute performance.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.8Score
      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) 1,456,864 ops/sec 1,919,289 ops/sec 0.79 50.00% 50.00% -11.00%
      Redis RPS (pipeline=16, SET) 8,737,002 ops/sec 11,728,058 ops/sec 0.72 20.00% 20.00% -6.40%
      PassMark Memory Mark (composite) 2,506 2,416 1 10.00% 10.00% 0.00%
      Memory bandwidth (read, 16 MB ~ L3) 93,378 MB/sec 108,466 MB/sec 0.85 10.00% 10.00% -1.60%
      PassMark single-thread CPU 1,973 Mops/s 2,365 Mops/s 0.83 10.00% 10.00% -1.80%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,184

      Geekbench Multi-Core

      Score: 7,286

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 15,441
      Compression
      		 215,825
      Encryption
      		 6,492
      Extended Instructions
      		 13,226
      Floating Point Maths
      		 25,144
      Integer Maths
      		 46,834
      Physics
      		 1,604
      Prime Numbers
      		 92
      Single Threaded
      		 1,973
      String Sorting
      		 28,608

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,506
      Database Operations
      		 5,626
      Memory Latency
      		 53
      Memory Read Cached
      		 22,795
      Memory Read Uncached
      		 9,866
      Memory Write
      		 9,593

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 208.68 197.05 0.94×
      bitops
      		 115,212 1,028,167 8.92×
      branch
      		 145,089 1,761,815 12.14×
      funccall
      		 533.76 4,473 8.38×
      funcret
      		 10,871 125,838 11.58×
      hash
      		 122,938 1,451,323 11.81×
      intmath
      		 21,466 259,318 12.08×
      nop
      		 179,933 1,247,690 6.93×
      prime
      		 306,050 2,729,849 8.92×
      rotate
      		 90,971 921,114 10.13×
      str
      		 744,303 7,639,961 10.26×
      wcs
      		 493,367 4,402,161 8.92×
      CryptographySingleMultiScaling
      crypt
      		 2,294 17,923 7.81×
      CompressionSingleMultiScaling
      jpeg
      		 582.86 5,665 9.72×
      zlib
      		 41.98 733.79 17.48×
      HypervisorSingleMultiScaling
      clock
      		 16,714 173,210 10.36×
      clone
      		 416.38 3,082 7.40×
      context
      		 1,789 19,248 10.76×
      cpu-sched
      		 53.71 993.66 18.50×
      eventfd
      		 83,969 842,861 10.04×
      fault
      		 12,789 128,493 10.05×
      fork
      		 4,013 36,980 9.21×
      getrandom
      		 42,304 420,491 9.94×
      hrtimers
      		 537,365 1,561,621 2.91×
      mprotect
      		 1,034,305 2,300,935 2.22×
      mtx
      		 13,283,927 453,685,995 34.15×
      munmap
      		 2,828 28,075 9.93×
      null
      		 196,914 1,921,742 9.76×
      pipe
      		 949,866 4,448,347 4.68×
      priv-instr
      		 403,338 4,248,988 10.53×
      resched
      		 3,163,631 1,392,827 0.44×
      switch
      		 180,631 1,935,481 10.72×
      timermix
      		 360,057 4,336,270 12.04×
      tlb-shootdown
      		 10,185 34,981 3.43×
      tsc
      		 937,577 10,546,921 11.25×
      usersyscall
      		 287,351 2,962,923 10.31×
      vdso
      		 76,220,053 1,080,992,460 14.18×
      vfork
      		 30,635 187,137 6.11×
      x86syscall
      		 2,195,780 21,522,941 9.80×
      yield
      		 7,723,428 8,321,185 1.08×
      zero
      		 1,457,874 13,945,796 9.57×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 15,343 149,622 9.75×
      expmath
      		 2,524 31,031 12.30×
      fma
      		 548,828 7,201,477 13.12×
      fp
      		 122.35 1,391 11.37×
      fractal
      		 4.6 54.6 11.87×
      hyperbolic
      		 2,627 33,130 12.61×
      logmath
      		 4,292 51,919 12.10×
      matrix
      		 2,847 36,850 12.94×
      matrix-3d
      		 641.27 3,134 4.89×
      monte-carlo
      		 97.08 1,030 10.61×
      mpfr
      		 1,152 9,969 8.66×
      powmath
      		 1,493 18,280 12.24×
      trig
      		 1,615 17,527 10.85×
      veccmp
      		 14,704 120,694 8.21×
      vecfp
      		 1,253 12,404 9.90×
      vecmath
      		 2,055 26,034 12.67×
      vecshuf
      		 531.02 4,571 8.61×
      vecwide
      		 24,873 206,059 8.28×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 6.8 63.8 9.38×
      bsearch
      		 229.36 2,160 9.42×
      bubblesort
      		 0.6 6.4 10.67×
      fibsearch
      		 264.42 2,710 10.25×
      heapsort
      		 8 78.4 9.80×
      hsearch
      		 4,831 46,528 9.63×
      insertionsort
      		 7.6 60.8 8.00×
      malloc
      		 2,139,215 24,873,925 11.63×
      mcontend
      		 121.48 4,294 35.35×
      mergesort
      		 25.2 265.19 10.52×
      qsort
      		 17.8 175.8 9.88×
      skiplist
      		 4,919 56,133 11.41×
      tree
      		 1.4 10.39 7.42×
      MemorySingleMultiScaling
      cache
      		 370,483 567,266 1.53×
      cachehammer
      		 371,339 5,252,418 14.14×
      cacheline
      		 34.74 560.53 16.14×
      l1cache
      		 213.67 1,862 8.71×
      memcpy
      		 358.98 2,909 8.10×
      memrate
      		 1.16 9.14 7.88×
      memthrash
      		 163.04 559.54 3.43×
      ptr-chase
      		 32,322,737 166,342,994 5.15×
      spinmem
      		 359.99 1,115 3.10×
      stream
      		 32.21 4,255 132.12×
      vm
      		 56,717 293,561 5.18×

      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
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      ecs.i3.13xlarge 52384 GiB0
      ecs.i3.26xlarge 104768 GiB0

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      ecs.i3.4xlarge FAQs