ecs.i2ne.8xlarge by Alibaba Cloud

ecs.i2ne.8xlarge is a ecs.i2ne 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 0.2611 USD per hour.
32 vCPU
256 GiB Memory
7.68 TB Storage
Spare SCore
23,463
(All-cores)
1,107
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.i2ne.8xlarge
Description
ecs.i2ne family (32 vCPUs, 256 GiB RAM, 7679 GB ssd storage)
Family
ecs.i2ne
Hw Virt
Status
active
Observed At
2026-10-25T01:16:02.654781

Availability

REGION / IDSPOTONDEMAND
Virginia (US) / us-east-1
0.28285 USD/h 2.176 USD/h
Ulanqab (CN) / cn-wulanchabu
0.3084 USD/h 2.2032 USD/h
Qingdao (CN) / cn-qingdao
0.2693 USD/h 2.448 USD/h
Shenzhen (CN) / cn-shenzhen
0.2693 USD/h 2.448 USD/h
Beijing (CN) / cn-beijing
- 2.448 USD/h
Guangzhou (CN) / cn-guangzhou
- 2.448 USD/h
Hangzhou (CN) / cn-hangzhou
- 2.448 USD/h
Shanghai (CN) / cn-shanghai
- 2.448 USD/h
Hong Kong (HK) / cn-hongkong
0.312 USD/h 2.6 USD/h
London (GB) / eu-west-1
0.401 USD/h 2.864 USD/h
Singapore (SG) / ap-southeast-1
0.4186 USD/h 2.99 USD/h
Riyadh (SA) / me-central-1
- 3.588 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
      10 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated multi-core server featuring massive local SSD storage and balanced memory capacity for data-intensive and database workloads.

      Storage & DatabaseMemory OptimizedGeneral Purpose

      Alibaba Cloud ecs.i2ne.8xlarge is an x86_64 server featuring 32 dedicated vCPUs from an Intel Xeon 8163 processor, 256.0 GB of RAM, and a substantial 7679 GB of bundled local SSD storage. Operating on a KVM hypervisor, it provides a baseline network bandwidth of 10 Gbps. Performance benchmarks show a contrast between weak single-core execution and average multi-core processing capabilities. Memory read and write bandwidths remain in the average tier, while database and Redis SET operations also demonstrate average throughput. Lacking a GPU, this instance is not designed for hardware-accelerated tasks. Instead, its high storage-to-vCPU ratio and large memory footprint make it highly suitable for storage-intensive and database workloads, such as large-scale caching, data indexing, and relational databases that benefit from massive local SSD capacity and moderate multi-threaded compute power.

      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) 1,866,182 ops/sec 1,919,289 ops/sec 1 50.00% 50.00% 0.00%
      Redis RPS (pipeline=16, SET) 13,299,181 ops/sec 11,728,058 ops/sec 1.1 20.00% 20.00% +1.90%
      PassMark Memory Mark (composite) 1,753 2,416 0.75 10.00% 10.00% -2.80%
      Memory bandwidth (read, 16 MB ~ L3) 80,520 MB/sec 108,466 MB/sec 0.74 10.00% 10.00% -3.00%
      PassMark single-thread CPU 1,681 Mops/s 2,365 Mops/s 0.71 10.00% 10.00% -3.40%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 946

      Geekbench Multi-Core

      Score: 8,432

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 23,134
      Compression
      		 373,014
      Encryption
      		 10,849
      Extended Instructions
      		 23,780
      Floating Point Maths
      		 42,159
      Integer Maths
      		 78,430
      Physics
      		 2,190
      Prime Numbers
      		 106
      Single Threaded
      		 1,681
      String Sorting
      		 48,202

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,753
      Database Operations
      		 8,530
      Memory Latency
      		 83
      Memory Read Cached
      		 19,320
      Memory Read Uncached
      		 6,248
      Memory Write
      		 6,646

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 186.34 155.49 0.83×
      bitops
      		 100,209 1,777,674 17.74×
      branch
      		 121,712 2,951,263 24.25×
      funccall
      		 449.23 7,662 17.06×
      funcret
      		 9,211 212,506 23.07×
      hash
      		 103,610 2,462,507 23.77×
      intmath
      		 17,771 433,825 24.41×
      nop
      		 151,115 2,089,111 13.82×
      prime
      		 263,732 4,767,625 18.08×
      rotate
      		 76,646 1,614,742 21.07×
      str
      		 633,114 12,882,320 20.35×
      wcs
      		 421,212 7,148,996 16.97×
      CryptographySingleMultiScaling
      crypt
      		 1,933 30,173 15.61×
      CompressionSingleMultiScaling
      jpeg
      		 448.03 8,865 19.79×
      zlib
      		 50.68 1,047 20.66×
      HypervisorSingleMultiScaling
      clock
      		 8,350 173,666 20.80×
      clone
      		 371.56 5,243 14.11×
      context
      		 532.79 12,643 23.73×
      cpu-sched
      		 58.9 2,024 34.36×
      eventfd
      		 26,220 497,235 18.96×
      fault
      		 8,517 159,100 18.68×
      fork
      		 2,463 44,926 18.24×
      getrandom
      		 31,899 654,433 20.52×
      hrtimers
      		 701,852 2,996,097 4.27×
      mprotect
      		 635,733 1,999,243 3.14×
      mtx
      		 13,544,318 700,979,666 51.75×
      munmap
      		 1,773 33,218 18.73×
      null
      		 49,907 1,192,185 23.89×
      pipe
      		 384,014 4,420,436 11.51×
      priv-instr
      		 148,397 3,504,764 23.62×
      resched
      		 2,439,427 1,294,012 0.53×
      switch
      		 67,589 2,358,424 34.89×
      timermix
      		 109,481 2,603,687 23.78×
      tlb-shootdown
      		 9,310 44,082 4.74×
      tsc
      		 787,370 17,649,946 22.42×
      usersyscall
      		 100,847 2,272,786 22.54×
      vdso
      		 64,006,264 1,808,322,801 28.25×
      vfork
      		 18,011 181,199 10.06×
      x86syscall
      		 576,976 12,997,395 22.53×
      yield
      		 7,120,010 7,500,154 1.05×
      zero
      		 480,705 11,496,698 23.92×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 12,880 282,457 21.93×
      expmath
      		 2,127 52,066 24.48×
      fma
      		 477,213 13,212,511 27.69×
      fp
      		 132 3,176 24.06×
      fractal
      		 4.2 97.23 23.15×
      hyperbolic
      		 2,221 55,451 24.97×
      logmath
      		 3,600 87,033 24.18×
      matrix
      		 2,463 61,333 24.91×
      matrix-3d
      		 525.92 3,774 7.18×
      monte-carlo
      		 31.99 818.4 25.58×
      mpfr
      		 979.75 17,137 17.49×
      powmath
      		 1,261 30,911 24.51×
      trig
      		 1,362 29,783 21.87×
      veccmp
      		 12,262 192,985 15.74×
      vecfp
      		 1,762 35,147 19.95×
      vecmath
      		 1,676 42,218 25.18×
      vecshuf
      		 742.33 12,810 17.26×
      vecwide
      		 44,978 845,001 18.79×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 5.6 102.6 18.32×
      bsearch
      		 196.7 3,608 18.34×
      bubblesort
      		 0.6 6.4 10.67×
      fibsearch
      		 222.23 4,500 20.25×
      heapsort
      		 6.6 128 19.39×
      hsearch
      		 4,037 78,096 19.34×
      insertionsort
      		 6.4 102.4 16.00×
      malloc
      		 1,597,746 33,373,053 20.89×
      mcontend
      		 104.54 7,326 70.08×
      mergesort
      		 21.2 430.38 20.30×
      qsort
      		 15 290.99 19.40×
      skiplist
      		 4,150 93,300 22.48×
      tree
      		 1.2 12.78 10.65×
      MemorySingleMultiScaling
      cache
      		 244,419 477,988 1.96×
      cachehammer
      		 349,421 9,084,365 26.00×
      cacheline
      		 30.17 2,159 71.57×
      l1cache
      		 179.57 3,086 17.19×
      memcpy
      		 301.51 4,921 16.32×
      memrate
      		 0.93 11.41 12.27×
      memthrash
      		 164.31 791.98 4.82×
      ptr-chase
      		 27,340,583 232,815,210 8.52×
      spinmem
      		 189.59 1,171 6.18×
      stream
      		 34.53 10,345 299.60×
      vm
      		 15,458 295,106 19.09×

      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.i2ne.xlarge 432 GiB0
      ecs.i2ne.2xlarge 864 GiB0
      ecs.i2ne.4xlarge 16128 GiB0
      ecs.i2ne.16xlarge 64512 GiB0
      ecs.i2ne.20xlarge 80704 GiB0

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      ecs.i2ne.8xlarge FAQs