ecs.c8y.8xlarge by Alibaba Cloud

ecs.c8y.8xlarge is a ecs.c8y family (32 vCPUs, 64 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 32 vCPUs, 64 GiB of memory and 0 GB of storage. The pricing starts at 0.125 USD per hour.
32 vCPU
64 GiB Memory
Spare SCore
57,749
(All-cores)
1,818
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.c8y.8xlarge
Description
ecs.c8y family (32 vCPUs, 64 GiB RAM, 0 GB storage)
Family
ecs.c8y
Hw Virt
Status
active
Observed At
2026-10-29T09:57:34.537681

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
0.13685 USD/h 0.595 USD/h
Chengdu (CN) / cn-chengdu
0.1719 USD/h 0.6611 USD/h
Shanghai (CN) / cn-shanghai
0.1719 USD/h 0.6611 USD/h
Beijing (CN) / cn-beijing
- 0.6611 USD/h
Guangzhou (CN) / cn-guangzhou
- 0.6611 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.6611 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.6611 USD/h
Singapore (SG) / ap-southeast-1
- 1.2557 USD/h

Processor

vCPUs
32
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
32
CPU Speed
2.75 GHz
CPU Architecture
arm64
CPU Manufacturer
Alibaba
CPU Family
Yitian
CPU Model
YiTian710
CPU L1D Cache
64 KiB
CPU L1D Cache Total
2 MiB
CPU L1I Cache
64 KiB
CPU L1I Cache Total
2 MiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
32 MiB
CPU L3 Cache
64 MiB
CPU L3 Cache Total
64 MiB
CPU Flags
fp, asimd, evtstrm, aes, pmull, sha1, sha2, crc32, atomics, fphp, asimdhp, cpuid, asimdrdm, jscvt, fcma, lrcpc, dcpop, sha3, sm3, sm4, asimddp, sha512, sve, asimdfhm, dit, uscat, ilrcpc, flagm, ssbs, sb, dcpodp, sve2, sveaes, svepmull, svebitperm, svesha3, svesm4, flagm2, frint, svei8mm, svebf16, i8mm, bf16, dgh, bti
Ecpus
31.8
Scalability
99.38

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
    0 GB
    Storages
      NETWORK
      Network Speed Baseline
      16 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated 32-core Arm-based compute instance delivering strong multi-threaded decompression and database performance with a balanced memory profile.

      Compute Optimized

      Alibaba Cloud ecs.c8y.8xlarge is an arm64 compute-optimized server powered by the 2.75 GHz Alibaba Yitian 710 processor. It features 32 dedicated physical cores with a 1:1 thread-to-core ratio, 64.0 GB of RAM, and a 16 Gbps baseline network bandwidth, with no local storage or GPU hardware. In benchmark testing, the instance demonstrates strong performance in multi-threaded bzip3 decompression and database operations, both ranking in the top 25%. Other metrics, such as stress-ng CPU performance and Redis SET operations, align with average tiers. The custom Arm architecture provides high physical core density, though it lacks x86-specific vector extensions like AVX. This instance is suited for multi-threaded decompression, database operations, static web serving, and moderate-scale machine learning inference.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.9Score
      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) 4,745,575 ops/sec 1,919,289 ops/sec 2.5 50.00% 50.00% +58.00%
      Redis RPS (pipeline=16, SET) 30,087,688 ops/sec 11,728,058 ops/sec 2.5 20.00% 20.00% +20.00%
      PassMark Memory Mark (composite) 2,949 2,416 1.2 10.00% 10.00% +1.80%
      Memory bandwidth (read, 16 MB ~ L3) 132,749 MB/sec 108,466 MB/sec 1.2 10.00% 10.00% +1.80%
      PassMark single-thread CPU 1,641 Mops/s 2,365 Mops/s 0.67 10.00% 10.00% -3.90%

      Memory Bandwidth

      Compression

      OpenSSL

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 22,895
      Compression
      		 190,808
      Encryption
      		 5,266
      Extended Instructions
      		 24,985
      Floating Point Maths
      		 147,781
      Integer Maths
      		 176,278
      Physics
      		 5,485
      Prime Numbers
      		 253
      Single Threaded
      		 1,641
      String Sorting
      		 136,236

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,949
      Database Operations
      		 26,041
      Memory Latency
      		 58
      Memory Read Cached
      		 22,477
      Memory Read Uncached
      		 18,465
      Memory Write
      		 22,137

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 151.5 36.53 0.24×
      bitops
      		 132,857 4,221,343 31.77×
      branch
      		 225,450 7,156,395 31.74×
      funccall
      		 1,677 53,227 31.75×
      funcret
      		 28,984 922,844 31.84×
      hash
      		 156,022 4,950,299 31.73×
      intmath
      		 34,363 1,090,356 31.73×
      nop
      		 400,816 12,736,668 31.78×
      prime
      		 435,510 13,823,963 31.74×
      rotate
      		 115,384 3,667,303 31.78×
      str
      		 611,153 19,418,333 31.77×
      wcs
      		 190,892 6,079,930 31.85×
      CryptographySingleMultiScaling
      crypt
      		 3,349 106,120 31.69×
      CompressionSingleMultiScaling
      jpeg
      		 599.6 18,545 30.93×
      zlib
      		 36.76 1,302 35.42×
      HypervisorSingleMultiScaling
      clock
      		 47,367 298,659 6.31×
      clone
      		 305.3 6,745 22.09×
      context
      		 3,836 125,063 32.60×
      cpu-sched
      		 60.51 2,013 33.27×
      eventfd
      		 92,283 3,373,868 36.56×
      fault
      		 15,555 90,941 5.85×
      fork
      		 2,689 14,757 5.49×
      getrandom
      		 54,420 1,728,171 31.76×
      hrtimers
      		 181,006 3,867,990 21.37×
      mprotect
      		 1,030,242 11,710,787 11.37×
      mtx
      		 7,666,653 1,640,958,932 214.04×
      munmap
      		 2,097 33,352 15.91×
      null
      		 625,647 20,053,313 32.05×
      pipe
      		 899,415 15,893,331 17.67×
      priv-instr
      		 806,408 10,874,011 13.48×
      resched
      		 1,775,413 6,227,940 3.51×
      switch
      		 154,335 9,898,357 64.14×
      timermix
      		 638,896 19,990,763 31.29×
      tlb-shootdown
      		 19,533 65,546 3.36×
      vdso
      		 34,567,269 1,169,311,432 33.83×
      vfork
      		 32,490 166,567 5.13×
      yield
      		 40,530,274 42,302,025 1.04×
      zero
      		 2,927,412 93,420,007 31.91×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 1,867 59,370 31.79×
      expmath
      		 344.94 10,955 31.76×
      fma
      		 675,822 21,475,808 31.78×
      fp
      		 141.6 4,498 31.76×
      fractal
      		 6.8 215.63 31.71×
      hyperbolic
      		 340.19 10,801 31.75×
      logmath
      		 408.99 12,981 31.74×
      matrix
      		 5,813 184,453 31.73×
      matrix-3d
      		 948.53 5,578 5.88×
      monte-carlo
      		 247.08 7,885 31.91×
      mpfr
      		 1,272 40,385 31.74×
      powmath
      		 238.95 7,595 31.78×
      trig
      		 457.28 14,516 31.74×
      veccmp
      		 17,076 542,302 31.76×
      vecfp
      		 804.54 25,549 31.76×
      vecmath
      		 4,286 136,143 31.76×
      vecshuf
      		 894.23 27,901 31.20×
      vecwide
      		 21,698 760,007 35.03×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 8.2 255.79 31.19×
      bsearch
      		 334.5 10,666 31.89×
      bubblesort
      		 1 32 32.00×
      fibsearch
      		 380.01 12,070 31.76×
      heapsort
      		 11.4 366.59 32.16×
      hsearch
      		 6,099 193,804 31.78×
      insertionsort
      		 6.8 216 31.76×
      malloc
      		 2,358,815 49,663,478 21.05×
      mcontend
      		 231.92 73,226 315.74×
      mergesort
      		 33 1,047 31.73×
      qsort
      		 21.2 675.38 31.86×
      skiplist
      		 6,167 196,673 31.89×
      tree
      		 1.2 22.36 18.63×
      MemorySingleMultiScaling
      cache
      		 420,987 896,377 2.13×
      cachehammer
      		 1,667,626 29,220,738 17.52×
      cacheline
      		 83.57 3,373 40.37×
      l1cache
      		 266.61 8,458 31.73×
      memcpy
      		 636.26 20,210 31.76×
      memrate
      		 4.35 18.53 4.26×
      memthrash
      		 195.68 275.9 1.41×
      ptr-chase
      		 12,028,101 222,228,043 18.48×
      spinmem
      		 3,491 24,079 6.90×
      stream
      		 39.46 7,227 183.15×
      vm
      		 102,600 1,960,019 19.10×

      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.c8y.large 24 GiB0
      ecs.c8y.xlarge 48 GiB0
      ecs.c8y.2xlarge 816 GiB0
      ecs.c8y.4xlarge 1632 GiB0
      ecs.c8y.16xlarge 64128 GiB0

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      ecs.c8y.8xlarge FAQs