ecs.i2.4xlarge by Alibaba Cloud

ecs.i2.4xlarge is a ecs.i2 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 0.1049 USD per hour.
16 vCPU
128 GiB Memory
3.84 TB Storage
Spare SCore
11,744
(All-cores)
1,105
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.i2.4xlarge
Description
ecs.i2 family (16 vCPUs, 128 GiB RAM, 3839 GB ssd storage)
Family
ecs.i2
Hw Virt
Status
active
Observed At
2026-10-25T12:56:56.147166

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
0.1468 USD/h 1.0489 USD/h
Chengdu (CN) / cn-chengdu
- 1.0494 USD/h
Shenzhen (CN) / cn-shenzhen
0.13405 USD/h 1.1655 USD/h
Hangzhou (CN) / cn-hangzhou
0.16315 USD/h 1.1655 USD/h
Qingdao (CN) / cn-qingdao
0.1632 USD/h 1.1655 USD/h
Beijing (CN) / cn-beijing
- 1.1655 USD/h
Guangzhou (CN) / cn-guangzhou
- 1.1655 USD/h
Shanghai (CN) / cn-shanghai
- 1.1655 USD/h
Heyuan (CN) / cn-heyuan
- 1.166 USD/h
Virginia (US) / us-east-1
0.1066 USD/h 1.184 USD/h
Silicon Valley (US) / us-west-1
0.1826 USD/h 1.304 USD/h
London (GB) / eu-west-1
0.168 USD/h 1.4 USD/h
Frankfurt (DE) / eu-central-1
0.1982 USD/h 1.416 USD/h
Jakarta (ID) / ap-southeast-5
0.1566 USD/h 1.424 USD/h
Hong Kong (HK) / cn-hongkong
0.1566 USD/h 1.424 USD/h
Singapore (SG) / ap-southeast-1
0.22075 USD/h 1.424 USD/h
Dubai (AE) / me-east-1
0.2544 USD/h 1.696 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
8163
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
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
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
    3839 GB
    Storage Type
    ssd
    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 storage-dense virtual server featuring dedicated Intel Xeon processors, balanced multi-core performance, and high-capacity local SSD storage.

      Storage & DatabaseMemory Optimized

      Alibaba Cloud ecs.i2.4xlarge is an x86_64 server instance powered by an Intel Xeon 8163 processor running at 2.5 GHz. It features 16 dedicated vCPUs, 128.0 GB of RAM, and a large 3839 GB local SSD storage volume, running on the KVM hypervisor. Benchmark results indicate a performance tradeoff: single-core CPU capabilities are weak, ranking in the bottom 25%, whereas multi-core performance and memory bandwidth reach average levels. The instance achieves average throughput in database operations and Redis SET benchmarks. With its high local storage capacity and 8.0 GB of RAM per core, the ecs.i2.4xlarge is well-suited for storage-heavy applications, local database hosting, and caching workloads, though its 3 Gbps baseline network bandwidth and lower single-core speeds may limit highly distributed or single-threaded compute tasks.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.58Score
      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) 959,091 ops/sec 1,919,289 ops/sec 0.51 50.00% 50.00% -29.00%
      Redis RPS (pipeline=16, SET) 6,979,196 ops/sec 11,728,058 ops/sec 0.58 20.00% 20.00% -10.00%
      PassMark Memory Mark (composite) 1,776 2,416 0.75 10.00% 10.00% -2.80%
      Memory bandwidth (read, 16 MB ~ L3) 77,419 MB/sec 108,466 MB/sec 0.7 10.00% 10.00% -3.50%
      PassMark single-thread CPU 1,686 Mops/s 2,365 Mops/s 0.71 10.00% 10.00% -3.40%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 929

      Geekbench Multi-Core

      Score: 5,886

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 12,957
      Compression
      		 181,514
      Encryption
      		 5,459
      Extended Instructions
      		 11,969
      Floating Point Maths
      		 21,127
      Integer Maths
      		 39,440
      Physics
      		 1,252
      Prime Numbers
      		 65
      Single Threaded
      		 1,686
      String Sorting
      		 23,832

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,776
      Database Operations
      		 4,365
      Memory Latency
      		 78
      Memory Read Cached
      		 19,351
      Memory Read Uncached
      		 6,282
      Memory Write
      		 6,896

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 181.23 161.22 0.89×
      bitops
      		 100,347 882,391 8.79×
      branch
      		 122,129 1,473,332 12.06×
      funccall
      		 449.42 3,798 8.45×
      funcret
      		 9,162 105,470 11.51×
      hash
      		 103,638 1,219,121 11.76×
      intmath
      		 17,939 216,530 12.07×
      nop
      		 151,712 1,044,958 6.89×
      prime
      		 263,659 2,381,760 9.03×
      rotate
      		 76,611 771,492 10.07×
      str
      		 635,199 6,453,071 10.16×
      wcs
      		 414,666 3,645,059 8.79×
      CryptographySingleMultiScaling
      crypt
      		 1,936 15,067 7.78×
      CompressionSingleMultiScaling
      jpeg
      		 472.76 4,662 9.86×
      zlib
      		 39.35 515.21 13.09×
      HypervisorSingleMultiScaling
      clock
      		 8,567 95,674 11.17×
      clone
      		 390.89 2,790 7.14×
      context
      		 559.99 6,559 11.71×
      cpu-sched
      		 55.69 1,031 18.51×
      eventfd
      		 26,500 462,493 17.45×
      fault
      		 8,349 89,187 10.68×
      fork
      		 2,473 24,812 10.03×
      getrandom
      		 32,338 327,309 10.12×
      hrtimers
      		 158,928 1,306,675 8.22×
      mprotect
      		 635,999 1,014,153 1.59×
      mtx
      		 13,912,101 294,623,885 21.18×
      munmap
      		 1,778 19,971 11.23×
      null
      		 53,022 612,964 11.56×
      pipe
      		 403,458 2,286,807 5.67×
      priv-instr
      		 154,132 1,792,552 11.63×
      resched
      		 1,600,914 736,828 0.46×
      switch
      		 47,689 1,218,559 25.55×
      timermix
      		 112,912 1,313,527 11.63×
      tlb-shootdown
      		 9,539 25,399 2.66×
      tsc
      		 789,739 8,842,024 11.20×
      usersyscall
      		 100,665 1,157,898 11.50×
      vdso
      		 64,249,836 894,250,654 13.92×
      vfork
      		 17,446 139,455 7.99×
      x86syscall
      		 581,281 6,663,366 11.46×
      yield
      		 3,740,854 3,710,574 0.99×
      zero
      		 509,274 5,874,884 11.54×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 12,956 134,456 10.38×
      expmath
      		 2,134 26,028 12.19×
      fma
      		 478,795 6,571,910 13.73×
      fp
      		 132 1,580 11.97×
      fractal
      		 4.2 48.6 11.57×
      hyperbolic
      		 2,208 27,696 12.54×
      logmath
      		 3,612 43,383 12.01×
      matrix
      		 2,441 29,567 12.11×
      matrix-3d
      		 393.02 2,558 6.51×
      monte-carlo
      		 32.02 461.16 14.40×
      mpfr
      		 980.95 8,523 8.69×
      powmath
      		 1,261 15,347 12.17×
      trig
      		 1,358 14,905 10.98×
      veccmp
      		 12,338 96,412 7.81×
      vecfp
      		 1,759 17,346 9.86×
      vecmath
      		 1,676 21,094 12.58×
      vecshuf
      		 744.31 6,366 8.55×
      vecwide
      		 45,018 421,935 9.37×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 5.8 53.8 9.28×
      bsearch
      		 197.59 1,806 9.14×
      bubblesort
      		 0.6 3.2 5.33×
      fibsearch
      		 222.98 2,239 10.04×
      heapsort
      		 6.8 64 9.41×
      hsearch
      		 4,058 39,246 9.67×
      insertionsort
      		 6.4 51.2 8.00×
      malloc
      		 1,128,905 19,167,805 16.98×
      mcontend
      		 101.31 2,675 26.41×
      mergesort
      		 21.2 214.39 10.11×
      qsort
      		 15 147 9.80×
      skiplist
      		 4,152 46,712 11.25×
      tree
      		 1 6.4 6.40×
      MemorySingleMultiScaling
      cache
      		 203,383 324,271 1.59×
      cachehammer
      		 352,506 4,752,247 13.48×
      cacheline
      		 32.72 522.13 15.96×
      l1cache
      		 177.91 1,540 8.66×
      memcpy
      		 301.97 2,430 8.05×
      memrate
      		 0.94 5.84 6.21×
      memthrash
      		 145.92 457.86 3.14×
      ptr-chase
      		 8,042,085 116,831,652 14.53×
      spinmem
      		 187.39 580.31 3.10×
      stream
      		 31.71 4,364 137.62×
      vm
      		 16,372 291,786 17.82×

      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.i2.xlarge 432 GiB0
      ecs.i2.2xlarge 864 GiB0
      ecs.i2.8xlarge 32256 GiB0
      ecs.i2.16xlarge 64512 GiB0

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      ecs.i2.4xlarge FAQs