ecs.i2gne.8xlarge by Alibaba Cloud

ecs.i2gne.8xlarge is a ecs.i2gne family (32 vCPUs, 128 GiB RAM, 3839 GB ssd storage) server offered by Alibaba Cloud with 32 vCPUs, 128 GiB of memory and 3.84 TB of storage. The pricing starts at 1.781 USD per hour.
32 vCPU
128 GiB Memory
3.84 TB Storage
Spare SCore
23,527
(All-cores)
1,109
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.i2gne.8xlarge
Description
ecs.i2gne family (32 vCPUs, 128 GiB RAM, 3839 GB ssd storage)
Family
ecs.i2gne
Hw Virt
Status
active
Observed At
2026-10-27T03:17:14.536400

Availability

REGION / IDSPOTONDEMAND
Virginia (US) / us-east-1
- 1.781 USD/h
Beijing (CN) / cn-beijing
- 1.999 USD/h
Guangzhou (CN) / cn-guangzhou
- 1.999 USD/h
Hangzhou (CN) / cn-hangzhou
- 1.999 USD/h
Shanghai (CN) / cn-shanghai
- 1.999 USD/h
Shenzhen (CN) / cn-shenzhen
- 1.999 USD/h
Hong Kong (HK) / cn-hongkong
- 2.127 USD/h
Riyadh (SA) / me-central-1
- 2.5524 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
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
      10 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated x86 server featuring high-capacity local SSD storage and balanced multi-core performance for data-intensive workloads.

      Storage & DatabaseGeneral Purpose

      Alibaba Cloud ecs.i2gne.8xlarge is an x86_64 server featuring 32 dedicated vCPUs from 16 physical Intel Xeon 8163 cores running at 2.5 GHz, paired with 128.0 GB of RAM and a bundled 3839 GB local SSD. Operating on a KVM hypervisor, it delivers a 10 Gbps baseline network bandwidth. Benchmark data shows weak single-core CPU performance, but multi-core execution, memory bandwidth, and database operations consistently reach average tiers. The high-capacity local SSD storage provides strong qualitative value for data-dense environments. This instance is well-suited for storage-heavy applications, database hosting, and multi-threaded processing tasks that require dedicated CPU resources and large local storage capacity.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.96Score
      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) 1,911,757 ops/sec 1,918,343 ops/sec 1 50.00% 50.00% 0.00%
      Redis RPS (pipeline=16, SET) 13,390,501 ops/sec 11,704,734 ops/sec 1.1 20.00% 20.00% +1.90%
      PassMark Memory Mark (composite) 1,842 2,416 0.75 10.00% 10.00% -2.80%
      Memory bandwidth (read, 16 MB ~ L3) 106,739 MB/sec 108,420 MB/sec 1 10.00% 10.00% 0.00%
      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: 966

      Geekbench Multi-Core

      Score: 8,507

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      23,108
      Compression
      363,584
      Encryption
      10,865
      Extended Instructions
      23,969
      Floating Point Maths
      42,215
      Integer Maths
      78,810
      Physics
      2,179
      Prime Numbers
      107
      Single Threaded
      1,693
      String Sorting
      47,341

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      1,842
      Database Operations
      8,519
      Memory Latency
      78
      Memory Read Cached
      19,396
      Memory Read Uncached
      6,595
      Memory Write
      7,225

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      174.84 149.26 0.85×
      bitops
      100,568 1,764,960 17.55×
      branch
      122,333 2,956,037 24.16×
      funccall
      451.53 7,632 16.90×
      funcret
      9,189 213,585 23.24×
      hash
      103,895 2,441,224 23.50×
      intmath
      17,821 434,779 24.40×
      nop
      151,892 2,095,763 13.80×
      prime
      264,891 4,774,044 18.02×
      rotate
      76,704 1,535,137 20.01×
      str
      627,952 13,264,895 21.12×
      wcs
      409,379 7,393,068 18.06×
      CryptographySingleMultiScaling
      crypt
      1,939 30,232 15.59×
      CompressionSingleMultiScaling
      jpeg
      452.69 8,966 19.81×
      zlib
      28.73 1,048 36.48×
      HypervisorSingleMultiScaling
      clock
      8,502 175,258 20.61×
      clone
      392.07 5,277 13.46×
      context
      563.59 13,193 23.41×
      cpu-sched
      71.48 2,037 28.50×
      eventfd
      25,503 486,632 19.08×
      fault
      8,638 162,764 18.84×
      fork
      2,520 45,800 18.18×
      getrandom
      32,402 659,011 20.34×
      hrtimers
      122,142 2,873,168 23.52×
      mprotect
      647,985 2,067,603 3.19×
      mtx
      13,993,260 704,481,398 50.34×
      munmap
      1,799 33,499 18.63×
      null
      52,924 1,230,606 23.25×
      pipe
      413,592 4,580,311 11.07×
      priv-instr
      155,534 3,602,466 23.16×
      resched
      2,506,907 1,430,177 0.57×
      switch
      122,977 2,415,058 19.64×
      timermix
      113,987 2,657,127 23.31×
      tlb-shootdown
      10,253 46,534 4.54×
      tsc
      790,812 17,708,031 22.39×
      usersyscall
      100,966 2,325,405 23.03×
      vdso
      64,396,195 1,798,259,854 27.92×
      vfork
      17,888 185,278 10.36×
      x86syscall
      578,716 13,478,208 23.29×
      yield
      7,327,139 7,759,026 1.06×
      zero
      510,219 11,808,994 23.14×
      CPU float/SIMDSingleMultiScaling
      eigen
      12,995 263,188 20.25×
      expmath
      2,139 52,187 24.39×
      fma
      479,543 13,210,634 27.55×
      fp
      132 3,152 23.88×
      fractal
      4.2 97.63 23.25×
      hyperbolic
      2,223 55,573 25.00×
      logmath
      3,614 87,080 24.09×
      matrix
      2,472 61,813 25.01×
      matrix-3d
      570.53 4,115 7.21×
      monte-carlo
      31.98 972.06 30.40×
      mpfr
      984.56 17,138 17.41×
      powmath
      1,264 30,860 24.41×
      trig
      1,356 29,910 22.06×
      veccmp
      12,351 192,561 15.59×
      vecfp
      1,763 34,667 19.66×
      vecmath
      1,678 42,336 25.23×
      vecshuf
      745.55 12,808 17.18×
      vecwide
      45,053 845,807 18.77×
      AlgorithmsSingleMultiScaling
      bitonicsort
      5.8 104.4 18.00×
      bsearch
      197.78 3,631 18.36×
      bubblesort
      0.6 6.4 10.67×
      fibsearch
      223.29 4,424 19.81×
      heapsort
      6.6 129.4 19.61×
      hsearch
      4,069 77,203 18.98×
      insertionsort
      6.4 102.4 16.00×
      malloc
      1,651,355 33,679,913 20.40×
      mcontend
      93.7 5,477 58.45×
      mergesort
      21.2 429.98 20.28×
      qsort
      15 294.19 19.61×
      skiplist
      4,158 93,866 22.58×
      tree
      1.2 12.78 10.65×
      MemorySingleMultiScaling
      cache
      272,426 491,567 1.80×
      cachehammer
      364,017 9,152,339 25.14×
      cacheline
      30.96 2,141 69.15×
      l1cache
      179.51 3,087 17.20×
      memcpy
      303.13 4,877 16.09×
      memrate
      0.95 11.41 12.01×
      memthrash
      177.46 783.86 4.42×
      ptr-chase
      29,779,444 233,062,042 7.83×
      spinmem
      187.19 1,084 5.79×
      stream
      35.57 10,037 282.18×
      vm
      16,798 295,112 17.57×

      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

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      ecs.i2gne.8xlarge FAQs