ecs.i3.2xlarge by Alibaba Cloud

ecs.i3.2xlarge is a ecs.i3 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 0.2294 USD per hour.
8 vCPU
64 GiB Memory
1.92 TB Storage
Spare SCore
7,024
(All-cores)
1,318
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.i3.2xlarge
Description
ecs.i3 family (8 vCPUs, 64 GiB RAM, 1919 GB ssd storage)
Family
ecs.i3
Hw Virt
Status
active
Observed At
2026-10-26T03:13:06.971499

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
- 0.5734 USD/h
Virginia (US) / us-east-1
0.3539 USD/h 0.632 USD/h
Beijing (CN) / cn-beijing
0.2931 USD/h 0.6372 USD/h
Chengdu (CN) / cn-chengdu
0.3568 USD/h 0.6372 USD/h
Guangzhou (CN) / cn-guangzhou
- 0.6372 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.6372 USD/h
Shanghai (CN) / cn-shanghai
- 0.6372 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.6372 USD/h
Frankfurt (DE) / eu-central-1
- 0.744 USD/h
Singapore (SG) / ap-southeast-1
- 0.756 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
8269CY
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
36 MiB
CPU L3 Cache Total
36 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, monitor, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, abm, 3dnowprefetch, pti, fsgsbase, tsc_adjust, bmi1, avx2, smep, bmi2, erms, invpcid, avx512f, avx512dq, rdseed, adx, smap, clflushopt, clwb, avx512cd, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, arat, avx512_vnni
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
      3 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A storage-dense server featuring dedicated Intel Xeon processors and substantial local SSD capacity for database and caching workloads.

      Storage & DatabaseMemory OptimizedGeneral Purpose

      Alibaba Cloud ecs.i3.2xlarge is an x86_64 server powered by an Intel Xeon 8269CY processor operating at 2.5 GHz. It features 8 dedicated vCPUs, 64.0 GB of RAM, and a substantial 1919 GB of bundled local SSD storage, alongside a baseline network bandwidth of 3 Gbps. Performance benchmarks position this instance in the average tier for multi-core processing, memory bandwidth, and database operations, though its single-core performance is relatively weak. Qualitatively, the server provides high storage density relative to its compute resources, making it a cost-efficient choice for storage-heavy deployments. It is highly suited for workloads such as database hosting, Redis caching, and static web serving, while being less optimal for CPU-intensive tasks or advanced machine learning inference.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.46Score
      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) 733,376 ops/sec 1,919,289 ops/sec 0.38 50.00% 50.00% -38.00%
      Redis RPS (pipeline=16, SET) 4,486,917 ops/sec 11,728,058 ops/sec 0.38 20.00% 20.00% -18.00%
      PassMark Memory Mark (composite) 2,345 2,416 0.96 10.00% 10.00% -0.41%
      Memory bandwidth (read, 16 MB ~ L3) 55,017 MB/sec 108,466 MB/sec 0.5 10.00% 10.00% -6.70%
      PassMark single-thread CPU 1,981 Mops/s 2,365 Mops/s 0.83 10.00% 10.00% -1.80%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,185

      Geekbench Multi-Core

      Score: 4,514

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 8,306
      Compression
      		 109,396
      Encryption
      		 3,255
      Extended Instructions
      		 6,448
      Floating Point Maths
      		 12,603
      Integer Maths
      		 23,498
      Physics
      		 972
      Prime Numbers
      		 58
      Single Threaded
      		 1,981
      String Sorting
      		 14,594

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,345
      Database Operations
      		 2,868
      Memory Latency
      		 54
      Memory Read Cached
      		 22,466
      Memory Read Uncached
      		 9,906
      Memory Write
      		 9,683

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 207.19 193.24 0.93×
      bitops
      		 115,576 514,333 4.45×
      branch
      		 145,435 882,719 6.07×
      funccall
      		 534.79 2,238 4.19×
      funcret
      		 10,831 63,064 5.82×
      hash
      		 123,530 728,615 5.90×
      intmath
      		 21,333 129,485 6.07×
      nop
      		 180,524 625,265 3.46×
      prime
      		 306,171 1,367,964 4.47×
      rotate
      		 91,201 460,317 5.05×
      str
      		 764,129 3,861,845 5.05×
      wcs
      		 504,738 2,159,372 4.28×
      CryptographySingleMultiScaling
      crypt
      		 2,300 8,977 3.90×
      CompressionSingleMultiScaling
      jpeg
      		 584.67 2,698 4.61×
      zlib
      		 49.11 331.17 6.74×
      HypervisorSingleMultiScaling
      clock
      		 16,838 93,131 5.53×
      clone
      		 481.63 1,827 3.79×
      context
      		 1,798 9,592 5.34×
      cpu-sched
      		 59.72 513.65 8.60×
      eventfd
      		 83,087 438,700 5.28×
      fault
      		 12,837 68,044 5.30×
      fork
      		 4,088 22,651 5.54×
      getrandom
      		 42,425 210,611 4.96×
      hrtimers
      		 537,380 860,539 1.60×
      mprotect
      		 792,422 1,158,425 1.46×
      mtx
      		 13,486,849 230,178,631 17.07×
      munmap
      		 2,969 15,275 5.15×
      null
      		 192,544 957,759 4.97×
      pipe
      		 871,309 2,346,628 2.69×
      priv-instr
      		 408,812 2,139,172 5.23×
      resched
      		 1,625,283 703,170 0.43×
      switch
      		 229,342 1,003,533 4.38×
      timermix
      		 360,545 2,182,404 6.05×
      tlb-shootdown
      		 10,513 20,583 1.96×
      tsc
      		 939,851 5,282,797 5.62×
      usersyscall
      		 286,267 1,479,017 5.17×
      vdso
      		 76,551,318 531,866,463 6.95×
      vfork
      		 30,960 119,223 3.85×
      x86syscall
      		 2,154,641 10,724,524 4.98×
      yield
      		 4,070,548 4,165,023 1.02×
      zero
      		 1,452,903 6,962,679 4.79×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 15,371 75,403 4.91×
      expmath
      		 2,531 15,505 6.13×
      fma
      		 550,556 3,601,262 6.54×
      fp
      		 119.95 690.24 5.75×
      fractal
      		 4.6 27.4 5.96×
      hyperbolic
      		 2,619 16,592 6.34×
      logmath
      		 4,307 25,990 6.03×
      matrix
      		 2,852 18,511 6.49×
      matrix-3d
      		 646.62 1,919 2.97×
      monte-carlo
      		 97.08 515.35 5.31×
      mpfr
      		 1,155 4,983 4.32×
      powmath
      		 1,495 9,159 6.13×
      trig
      		 1,621 8,791 5.42×
      veccmp
      		 14,715 60,624 4.12×
      vecfp
      		 1,254 6,232 4.97×
      vecmath
      		 2,059 13,037 6.33×
      vecshuf
      		 532.06 2,288 4.30×
      vecwide
      		 24,070 102,290 4.25×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 6.8 31.8 4.68×
      bsearch
      		 235.69 1,084 4.60×
      bubblesort
      		 0.6 3.2 5.33×
      fibsearch
      		 265.09 1,337 5.05×
      heapsort
      		 8 39 4.88×
      hsearch
      		 4,793 23,353 4.87×
      insertionsort
      		 7.6 30.4 4.00×
      malloc
      		 2,178,153 16,476,570 7.56×
      mcontend
      		 140.71 2,031 14.43×
      mergesort
      		 25.2 132.6 5.26×
      qsort
      		 17.8 87.8 4.93×
      skiplist
      		 4,946 27,996 5.66×
      tree
      		 1.4 6.4 4.57×
      MemorySingleMultiScaling
      cache
      		 372,198 545,135 1.46×
      cachehammer
      		 376,231 2,710,044 7.20×
      cacheline
      		 34.16 284.9 8.34×
      l1cache
      		 214.11 934.07 4.36×
      memcpy
      		 360.13 1,457 4.05×
      memrate
      		 1.17 6.13 5.24×
      memthrash
      		 177.65 300.85 1.69×
      ptr-chase
      		 32,823,274 94,091,688 2.87×
      spinmem
      		 371.39 624.54 1.68×
      stream
      		 32.57 1,228 37.70×
      vm
      		 54,088 291,257 5.38×

      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.i3.8xlarge 32256 GiB0
      ecs.i3.13xlarge 52384 GiB0
      ecs.i3.26xlarge 104768 GiB0

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      ecs.i3.2xlarge FAQs