ecs.i2.2xlarge by Alibaba Cloud

ecs.i2.2xlarge is a ecs.i2 family (8 vCPUs, 64 GiB RAM, 1919 GB ssd storage) server offered by Alibaba Cloud with 8 vCPUs, 64 GiB of memory and 1.92 TB of storage. The pricing starts at 0.0592 USD per hour.
8 vCPU
64 GiB Memory
1.92 TB Storage
Spare SCore
5,883
(All-cores)
1,107
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.i2.2xlarge
Description
ecs.i2 family (8 vCPUs, 64 GiB RAM, 1919 GB ssd storage)
Family
ecs.i2
Hw Virt
Status
active
Observed At
2026-10-24T21:56:31.981232

Availability

REGION / IDSPOTONDEMAND
Chengdu (CN) / cn-chengdu
- 0.5247 USD/h
Ulanqab (CN) / cn-wulanchabu
- 0.5252 USD/h
Heyuan (CN) / cn-heyuan
- 0.583 USD/h
Beijing (CN) / cn-beijing
0.07 USD/h 0.5835 USD/h
Qingdao (CN) / cn-qingdao
0.07 USD/h 0.5835 USD/h
Guangzhou (CN) / cn-guangzhou
0.0817 USD/h 0.5835 USD/h
Shanghai (CN) / cn-shanghai
0.0817 USD/h 0.5835 USD/h
Shenzhen (CN) / cn-shenzhen
0.0817 USD/h 0.5835 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.5835 USD/h
Virginia (US) / us-east-1
0.074 USD/h 0.592 USD/h
Silicon Valley (US) / us-west-1
0.08475 USD/h 0.652 USD/h
London (GB) / eu-west-1
0.077 USD/h 0.7 USD/h
Frankfurt (DE) / eu-central-1
0.085 USD/h 0.708 USD/h
Jakarta (ID) / ap-southeast-5
0.0854 USD/h 0.712 USD/h
Hong Kong (HK) / cn-hongkong
0.0854 USD/h 0.712 USD/h
Singapore (SG) / ap-southeast-1
- 0.712 USD/h
Dubai (AE) / me-east-1
0.1187 USD/h 0.848 USD/h

Processor

vCPUs
8
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
4
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
128 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
128 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
4 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
5.3
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
    1919 GB
    Storage Type
    ssd
    Storages
      NETWORK
      Network Speed Baseline
      2 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      High-density storage instance offering bundled local SSD capacity paired with 64 GB RAM for I/O-heavy databases and memory-tier caching.

      Storage & DatabaseMemory Optimized

      Alibaba Cloud ecs.i2.2xlarge is a storage-focused instance equipped with 8 vCPUs across 4 physical cores, 64.0 GB of memory, and 1919 GB of direct-attached SSD local storage. Driven by an Intel Xeon 8163 processor at 2.5 GHz with AVX-512 support, the system provides an 8.0 GB RAM per vCPU ratio and 2 Gbps baseline network bandwidth. Benchmarks show a PassMark CPU score of 6991.89 and Redis SET throughput of 6.06 million operations per second, alongside large block memory write bandwidth of 35.45 GB/sec. While CPU compute and single-threaded compression scores remain modest relative to newer architectures, the inclusion of dedicated local SSD storage paired with a high memory allocation delivers balanced resource density for localized database engines, memory caching systems, log indexing, and I/O-sensitive transactional processing tasks.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.34Score
      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) 489,365 ops/sec 1,919,289 ops/sec 0.26 50.00% 50.00% -49.00%
      Redis RPS (pipeline=16, SET) 3,702,893 ops/sec 11,728,058 ops/sec 0.31 20.00% 20.00% -21.00%
      PassMark Memory Mark (composite) 1,673 2,416 0.71 10.00% 10.00% -3.40%
      Memory bandwidth (read, 16 MB ~ L3) 41,533 MB/sec 108,466 MB/sec 0.38 10.00% 10.00% -9.20%
      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: 3,613

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      6,992
      Compression
      90,666
      Encryption
      2,725
      Extended Instructions
      5,876
      Floating Point Maths
      10,561
      Integer Maths
      19,649
      Physics
      778
      Prime Numbers
      48
      Single Threaded
      1,693
      String Sorting
      12,002

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      1,673
      Database Operations
      2,191
      Memory Latency
      79
      Memory Read Cached
      19,328
      Memory Read Uncached
      6,330
      Memory Write
      6,847

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      176.65 176.23 1.00×
      bitops
      100,426 442,277 4.40×
      branch
      122,308 739,651 6.05×
      funccall
      450.59 1,911 4.24×
      funcret
      9,198 53,194 5.78×
      hash
      103,774 612,723 5.90×
      intmath
      17,715 109,469 6.18×
      nop
      151,620 523,988 3.46×
      prime
      263,741 1,194,304 4.53×
      rotate
      76,651 388,802 5.07×
      str
      634,601 3,294,496 5.19×
      wcs
      424,796 1,838,628 4.33×
      CryptographySingleMultiScaling
      crypt
      1,924 7,552 3.92×
      CompressionSingleMultiScaling
      jpeg
      451.19 2,390 5.30×
      zlib
      33.93 239.65 7.06×
      HypervisorSingleMultiScaling
      clock
      8,614 48,954 5.68×
      clone
      381.7 1,470 3.85×
      context
      528.39 3,181 6.02×
      cpu-sched
      64.95 518.14 7.98×
      eventfd
      26,443 232,468 8.79×
      fault
      8,593 47,741 5.56×
      fork
      2,564 15,374 6.00×
      getrandom
      32,155 164,004 5.10×
      hrtimers
      232,539 525,529 2.26×
      mprotect
      474,015 506,928 1.07×
      mtx
      12,900,822 173,383,687 13.44×
      munmap
      1,862 10,516 5.65×
      null
      52,665 298,673 5.67×
      pipe
      404,016 1,179,366 2.92×
      priv-instr
      147,654 879,354 5.96×
      resched
      759,775 356,287 0.47×
      switch
      90,529 618,692 6.83×
      timermix
      111,934 654,425 5.85×
      tlb-shootdown
      9,304 14,693 1.58×
      tsc
      789,539 4,428,687 5.61×
      usersyscall
      96,823 571,078 5.90×
      vdso
      64,264,212 453,959,889 7.06×
      vfork
      18,939 88,956 4.70×
      x86syscall
      548,440 3,266,651 5.96×
      yield
      1,844,506 1,892,233 1.03×
      zero
      483,659 2,885,342 5.97×
      CPU float/SIMDSingleMultiScaling
      eigen
      13,005 68,881 5.30×
      expmath
      2,137 13,046 6.11×
      fma
      479,478 3,298,045 6.88×
      fp
      132 779.35 5.90×
      fractal
      4.2 24.4 5.81×
      hyperbolic
      2,228 13,907 6.24×
      logmath
      3,618 21,844 6.04×
      matrix
      2,463 15,398 6.25×
      matrix-3d
      540.48 1,519 2.81×
      monte-carlo
      31.98 190.48 5.96×
      mpfr
      983.29 4,291 4.36×
      powmath
      1,263 7,742 6.13×
      trig
      1,367 7,471 5.47×
      veccmp
      12,272 48,606 3.96×
      vecfp
      1,762 8,746 4.96×
      vecmath
      1,677 10,585 6.31×
      vecshuf
      744.83 3,211 4.31×
      vecwide
      45,022 211,714 4.70×
      AlgorithmsSingleMultiScaling
      bitonicsort
      5.8 26.8 4.62×
      bsearch
      197.55 900.7 4.56×
      bubblesort
      0.6 1.6 2.67×
      fibsearch
      222.83 1,116 5.01×
      heapsort
      6.6 32.2 4.88×
      hsearch
      3,866 20,087 5.20×
      insertionsort
      6.4 25.6 4.00×
      malloc
      1,645,316 12,377,028 7.52×
      mcontend
      119.63 1,371 11.46×
      mergesort
      21.2 110.2 5.20×
      qsort
      15 73.6 4.91×
      skiplist
      4,161 23,626 5.68×
      tree
      1.2 4.8 4.00×
      MemorySingleMultiScaling
      cache
      264,814 323,686 1.22×
      cachehammer
      359,201 2,509,674 6.99×
      cacheline
      29.49 242.86 8.24×
      l1cache
      180 774.8 4.30×
      memcpy
      302.88 1,225 4.05×
      memrate
      0.94 4.4 4.68×
      memthrash
      135.4 246.59 1.82×
      ptr-chase
      29,489,428 69,561,283 2.36×
      spinmem
      182.99 263.57 1.44×
      stream
      34.45 1,298 37.68×
      vm
      16,577 259,812 15.67×

      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

      Servers of the Same Family

      INSTANCEvCPUsMEMORYAccelerators
      ecs.i2.xlarge 432 GiB0
      ecs.i2.4xlarge 16128 GiB0
      ecs.i2.8xlarge 32256 GiB0
      ecs.i2.16xlarge 64512 GiB0

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      ecs.i2.2xlarge FAQs