ecs.i2.8xlarge by Alibaba Cloud

ecs.i2.8xlarge is a ecs.i2 family (32 vCPUs, 256 GiB RAM, 7679 GB ssd storage) server offered by Alibaba Cloud with 32 vCPUs, 256 GiB of memory and 7.68 TB of storage. The pricing starts at 0.2566 USD per hour.
32 vCPU
256 GiB Memory
7.68 TB Storage
Spare SCore
23,554
(All-cores)
1,110
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.i2.8xlarge
Description
ecs.i2 family (32 vCPUs, 256 GiB RAM, 7679 GB ssd storage)
Family
ecs.i2
Hw Virt
Status
active
Observed At
2026-10-24T21:56:31.981310

Availability

REGION / IDSPOTONDEMAND
Chengdu (CN) / cn-chengdu
- 2.0988 USD/h
Ulanqab (CN) / cn-wulanchabu
0.2939 USD/h 2.0992 USD/h
Heyuan (CN) / cn-heyuan
- 2.332 USD/h
Qingdao (CN) / cn-qingdao
0.2566 USD/h 2.3325 USD/h
Shanghai (CN) / cn-shanghai
0.3265 USD/h 2.3325 USD/h
Beijing (CN) / cn-beijing
- 2.3325 USD/h
Guangzhou (CN) / cn-guangzhou
- 2.3325 USD/h
Hangzhou (CN) / cn-hangzhou
- 2.3325 USD/h
Shenzhen (CN) / cn-shenzhen
- 2.3325 USD/h
Virginia (US) / us-east-1
0.2842 USD/h 2.368 USD/h
Silicon Valley (US) / us-west-1
0.3651 USD/h 2.608 USD/h
London (GB) / eu-west-1
0.336 USD/h 2.8 USD/h
Frankfurt (DE) / eu-central-1
- 2.832 USD/h
Jakarta (ID) / ap-southeast-5
0.3418 USD/h 2.848 USD/h
Hong Kong (HK) / cn-hongkong
0.3418 USD/h 2.848 USD/h
Singapore (SG) / ap-southeast-1
0.44145 USD/h 2.848 USD/h

Processor

vCPUs
32
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
16
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
512 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
512 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
16 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
21.2
Scalability
66.25

System Resources and Accelerators

MEMORY
Memory Amount
256 GiB
Memory Amount Actual
256 GiB
ACCELERATORS
Accelerator Count
0
Accelerator Memory Min
0 MiB
Accelerator Memory Total
0 MiB
Accelerators
    STORAGE
    Storage Size
    7679 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 dedicated x86_64 server combining massive bundled local SSD storage with balanced memory for data-intensive and multi-threaded database workloads.

      Storage & DatabaseMemory OptimizedGeneral Purpose

      Alibaba Cloud ecs.i2.8xlarge is an x86_64 server powered by an Intel Xeon 8163 processor with 32 dedicated vCPUs and 256.0 GB of RAM. It features a substantial 7679 GB of bundled local SSD storage and a baseline network bandwidth of 6 Gbps. Benchmark data reveals weak single-core CPU performance, but average multi-core CPU and memory bandwidth capabilities. The server demonstrates average performance in database operations, Redis SET operations, and static web serving. Given its high storage capacity and balanced memory-to-vCPU ratio, the ecs.i2.8xlarge is qualitatively cost-efficient for storage-heavy and memory-intensive workloads. It is well-suited for databases, data caching, and multi-threaded general-purpose applications, though it is less optimal for single-threaded compute tasks.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.93Score
      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) 1,870,546 ops/sec 1,919,289 ops/sec 1 50.00% 50.00% 0.00%
      Redis RPS (pipeline=16, SET) 13,202,693 ops/sec 11,728,058 ops/sec 1.1 20.00% 20.00% +1.90%
      PassMark Memory Mark (composite) 1,779 2,416 0.75 10.00% 10.00% -2.80%
      Memory bandwidth (read, 16 MB ~ L3) 80,059 MB/sec 108,466 MB/sec 0.73 10.00% 10.00% -3.10%
      PassMark single-thread CPU 1,692 Mops/s 2,365 Mops/s 0.71 10.00% 10.00% -3.40%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 955

      Geekbench Multi-Core

      Score: 8,454

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 23,081
      Compression
      		 362,277
      Encryption
      		 10,893
      Extended Instructions
      		 23,797
      Floating Point Maths
      		 42,256
      Integer Maths
      		 78,794
      Physics
      		 2,178
      Prime Numbers
      		 105
      Single Threaded
      		 1,692
      String Sorting
      		 47,507

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,779
      Database Operations
      		 8,535
      Memory Latency
      		 81
      Memory Read Cached
      		 19,489
      Memory Read Uncached
      		 6,369
      Memory Write
      		 6,804

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 189.42 155.04 0.82×
      bitops
      		 100,722 1,766,734 17.54×
      branch
      		 122,491 2,960,081 24.17×
      funccall
      		 450.85 7,620 16.90×
      funcret
      		 9,178 212,897 23.20×
      hash
      		 103,957 2,454,492 23.61×
      intmath
      		 17,869 434,901 24.34×
      nop
      		 152,134 2,097,166 13.79×
      prime
      		 265,335 4,779,662 18.01×
      rotate
      		 76,818 1,556,178 20.26×
      str
      		 636,371 13,419,727 21.09×
      wcs
      		 418,448 7,371,872 17.62×
      CryptographySingleMultiScaling
      crypt
      		 1,943 30,254 15.57×
      CompressionSingleMultiScaling
      jpeg
      		 451.99 8,874 19.63×
      zlib
      		 42.14 1,019 24.18×
      HypervisorSingleMultiScaling
      clock
      		 8,593 177,068 20.61×
      clone
      		 365.99 4,812 13.15×
      context
      		 559.59 12,748 22.78×
      cpu-sched
      		 55.46 2,018 36.39×
      eventfd
      		 26,398 500,686 18.97×
      fault
      		 8,623 161,765 18.76×
      fork
      		 2,513 46,220 18.40×
      getrandom
      		 32,232 657,059 20.39×
      hrtimers
      		 131,031 2,554,529 19.50×
      mprotect
      		 639,174 2,015,888 3.15×
      mtx
      		 13,766,076 633,325,350 46.01×
      munmap
      		 1,809 33,825 18.70×
      null
      		 50,499 1,196,733 23.70×
      pipe
      		 414,633 4,371,930 10.54×
      priv-instr
      		 148,825 3,524,835 23.68×
      resched
      		 2,468,344 1,333,379 0.54×
      switch
      		 119,289 2,411,035 20.21×
      timermix
      		 112,083 2,614,166 23.32×
      tlb-shootdown
      		 9,221 44,896 4.87×
      tsc
      		 791,980 17,706,670 22.36×
      usersyscall
      		 101,028 2,282,526 22.59×
      vdso
      		 62,504,032 1,788,629,221 28.62×
      vfork
      		 18,273 185,789 10.17×
      x86syscall
      		 553,241 13,079,237 23.64×
      yield
      		 7,213,325 7,612,243 1.06×
      zero
      		 509,878 11,516,862 22.59×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 12,458 266,991 21.43×
      expmath
      		 2,135 52,274 24.48×
      fma
      		 480,461 13,267,242 27.61×
      fp
      		 132 3,146 23.83×
      fractal
      		 4.2 97.62 23.24×
      hyperbolic
      		 2,226 55,666 25.01×
      logmath
      		 3,623 86,738 23.94×
      matrix
      		 2,477 61,702 24.91×
      matrix-3d
      		 553.75 3,439 6.21×
      monte-carlo
      		 31.91 764.13 23.95×
      mpfr
      		 985.52 17,200 17.45×
      powmath
      		 1,265 30,930 24.44×
      trig
      		 1,367 29,935 21.91×
      veccmp
      		 12,344 192,595 15.60×
      vecfp
      		 1,764 34,824 19.74×
      vecmath
      		 1,679 42,388 25.24×
      vecshuf
      		 745.69 12,833 17.21×
      vecwide
      		 45,081 844,323 18.73×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 5.8 106.4 18.34×
      bsearch
      		 196.73 3,626 18.43×
      bubblesort
      		 0.6 6.4 10.67×
      fibsearch
      		 223.42 4,521 20.24×
      heapsort
      		 6.6 130.6 19.79×
      hsearch
      		 4,076 78,576 19.28×
      insertionsort
      		 6.4 102.4 16.00×
      malloc
      		 1,604,352 30,847,164 19.23×
      mcontend
      		 109.3 7,273 66.54×
      mergesort
      		 21.2 431.58 20.36×
      qsort
      		 15 294.19 19.61×
      skiplist
      		 4,168 94,309 22.63×
      tree
      		 1.2 12.78 10.65×
      MemorySingleMultiScaling
      cache
      		 254,441 473,712 1.86×
      cachehammer
      		 355,827 9,202,211 25.86×
      cacheline
      		 26.57 2,126 80.02×
      l1cache
      		 180.09 3,086 17.14×
      memcpy
      		 303.68 4,885 16.09×
      memrate
      		 0.95 11.43 12.03×
      memthrash
      		 174.87 809.99 4.63×
      ptr-chase
      		 25,887,711 231,874,943 8.96×
      spinmem
      		 183.39 1,220 6.65×
      stream
      		 34.43 10,494 304.80×
      vm
      		 16,047 295,167 18.39×

      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.i2.2xlarge 864 GiB0
      ecs.i2.4xlarge 16128 GiB0
      ecs.i2.16xlarge 64512 GiB0

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      ecs.i2.8xlarge FAQs