ecs.i3.8xlarge by Alibaba Cloud

ecs.i3.8xlarge is a ecs.i3 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 2.526 USD per hour.
32 vCPU
256 GiB Memory
7.68 TB Storage
Spare SCore
28,119
(All-cores)
1,318
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.i3.8xlarge
Description
ecs.i3 family (32 vCPUs, 256 GiB RAM, 7679 GB ssd storage)
Family
ecs.i3
Hw Virt
Status
active
Observed At
2026-10-26T23:54:08.517460

Availability

REGION / IDSPOTONDEMAND
Virginia (US) / us-east-1
- 2.526 USD/h
Beijing (CN) / cn-beijing
- 2.5487 USD/h
Chengdu (CN) / cn-chengdu
- 2.5487 USD/h
Guangzhou (CN) / cn-guangzhou
- 2.5487 USD/h
Hangzhou (CN) / cn-hangzhou
- 2.5487 USD/h
Shanghai (CN) / cn-shanghai
- 2.5487 USD/h
Shenzhen (CN) / cn-shenzhen
- 2.5487 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
8269CY
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
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
21.3
Scalability
66.56

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

      High-capacity local SSD storage instance paired with 256 GB memory for memory-intensive, throughput-driven database and analytics workloads.

      Storage & DatabaseMemory Optimized

      Alibaba Cloud ecs.i3.8xlarge is a high-density local storage instance powered by a 16-core Intel Xeon 8269CY processor running at 2.5 GHz, yielding 32 virtual cores with hyperthreading on a KVM hypervisor. It comes equipped with 256 GB of memory and a bundled 7679 GB local SSD array alongside 10 Gbps baseline network bandwidth. Synthetic benchmarks indicate weak single-threaded performance in tests such as stress-ng single-core and gzip compression. Conversely, multi-threaded CPU throughput, memory bandwidth, and application-level workloads achieve solid middle-tier performance, demonstrated by 28 million Redis SET operations per second and a 10415 Geekbench multi-core score. Hardware features include AVX-512 instruction support for vectorized computing. By combining massive local SSD capacity with 8 GB of RAM per vCPU, the instance delivers strong resource density for data-intensive applications. It is appropriate for relational databases, Redis caching layers, log analytics, search indexing, and large-scale ETL data processing.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.3Score
      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) 2,904,829 ops/sec 1,918,343 ops/sec 1.5 50.00% 50.00% +22.00%
      Redis RPS (pipeline=16, SET) 16,522,509 ops/sec 11,704,734 ops/sec 1.4 20.00% 20.00% +7.00%
      PassMark Memory Mark (composite) 2,562 2,416 1.1 10.00% 10.00% +0.96%
      Memory bandwidth (read, 16 MB ~ L3) 120,969 MB/sec 108,420 MB/sec 1.1 10.00% 10.00% +0.96%
      PassMark single-thread CPU 1,984 Mops/s 2,365 Mops/s 0.83 10.00% 10.00% -1.80%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,189

      Geekbench Multi-Core

      Score: 10,415

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 27,316
      Compression
      		 431,974
      Encryption
      		 13,010
      Extended Instructions
      		 26,192
      Floating Point Maths
      		 50,417
      Integer Maths
      		 94,006
      Physics
      		 2,392
      Prime Numbers
      		 140
      Single Threaded
      		 1,984
      String Sorting
      		 57,109

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,562
      Database Operations
      		 11,139
      Memory Latency
      		 53
      Memory Read Cached
      		 22,864
      Memory Read Uncached
      		 9,892
      Memory Write
      		 9,647

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 207.1 188.16 0.91×
      bitops
      		 115,647 2,064,026 17.85×
      branch
      		 145,458 3,534,827 24.30×
      funccall
      		 534.85 9,016 16.86×
      funcret
      		 10,838 251,885 23.24×
      hash
      		 123,477 2,924,777 23.69×
      intmath
      		 21,337 518,952 24.32×
      nop
      		 180,539 2,502,822 13.86×
      prime
      		 306,644 5,482,081 17.88×
      rotate
      		 91,245 1,847,616 20.25×
      str
      		 784,013 16,037,235 20.46×
      wcs
      		 492,735 8,834,850 17.93×
      CryptographySingleMultiScaling
      crypt
      		 2,301 35,960 15.63×
      CompressionSingleMultiScaling
      jpeg
      		 565.2 10,167 17.99×
      zlib
      		 58.1 1,205 20.74×
      HypervisorSingleMultiScaling
      clock
      		 16,354 283,717 17.35×
      clone
      		 405.46 5,682 14.01×
      context
      		 1,814 38,327 21.13×
      cpu-sched
      		 60.17 1,901 31.59×
      eventfd
      		 84,469 942,132 11.15×
      fault
      		 12,866 203,892 15.85×
      fork
      		 3,873 65,509 16.92×
      getrandom
      		 42,436 843,559 19.88×
      hrtimers
      		 306,545 2,524,590 8.24×
      mprotect
      		 1,039,549 4,572,936 4.40×
      mtx
      		 9,802,519 857,748,378 87.50×
      munmap
      		 2,734 47,354 17.32×
      null
      		 192,637 3,812,089 19.79×
      pipe
      		 941,906 7,981,190 8.47×
      priv-instr
      		 409,453 8,443,425 20.62×
      resched
      		 4,932,693 2,741,731 0.56×
      switch
      		 195,773 3,865,099 19.74×
      timermix
      		 362,828 8,733,727 24.07×
      tlb-shootdown
      		 10,755 57,006 5.30×
      tsc
      		 940,259 21,157,090 22.50×
      usersyscall
      		 286,078 5,890,109 20.59×
      vdso
      		 76,468,109 2,169,164,921 28.37×
      vfork
      		 29,358 150,131 5.11×
      x86syscall
      		 2,163,930 42,649,260 19.71×
      yield
      		 15,322,891 17,184,216 1.12×
      zero
      		 1,490,918 27,725,208 18.60×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 15,380 299,208 19.45×
      expmath
      		 2,544 62,437 24.54×
      fma
      		 550,448 14,454,796 26.26×
      fp
      		 116.87 2,777 23.76×
      fractal
      		 4.6 109.42 23.79×
      hyperbolic
      		 2,632 66,424 25.24×
      logmath
      		 4,307 104,294 24.21×
      matrix
      		 2,857 73,952 25.88×
      matrix-3d
      		 653.34 3,562 5.45×
      monte-carlo
      		 106.21 2,059 19.39×
      mpfr
      		 1,152 20,021 17.39×
      powmath
      		 1,497 36,693 24.51×
      trig
      		 1,620 35,140 21.69×
      veccmp
      		 14,727 242,907 16.49×
      vecfp
      		 1,256 24,887 19.82×
      vecmath
      		 2,061 52,215 25.34×
      vecshuf
      		 532.47 9,171 17.22×
      vecwide
      		 22,778 413,401 18.15×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 6.8 126 18.53×
      bsearch
      		 234.69 4,350 18.53×
      bubblesort
      		 0.6 12.8 21.33×
      fibsearch
      		 265.15 5,440 20.52×
      heapsort
      		 8 159 19.88×
      hsearch
      		 4,845 93,625 19.33×
      insertionsort
      		 7.6 121.6 16.00×
      malloc
      		 2,137,716 33,984,984 15.90×
      mcontend
      		 110.52 8,340 75.46×
      mergesort
      		 25.2 514.18 20.40×
      qsort
      		 17.8 351.79 19.76×
      skiplist
      		 4,957 112,896 22.78×
      tree
      		 1.4 19.18 13.70×
      MemorySingleMultiScaling
      cache
      		 367,966 593,982 1.61×
      cachehammer
      		 371,732 9,855,086 26.51×
      cacheline
      		 30.36 2,382 78.45×
      l1cache
      		 214.49 3,726 17.37×
      memcpy
      		 360.51 5,828 16.17×
      memrate
      		 1.17 11.9 10.17×
      memthrash
      		 219.32 848.86 3.87×
      ptr-chase
      		 32,809,137 305,920,772 9.32×
      spinmem
      		 371.79 2,210 5.94×
      stream
      		 32.51 9,101 279.94×
      vm
      		 55,615 297,244 5.34×

      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.i3.26xlarge 104768 GiB0

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      ecs.i3.8xlarge FAQs