ecs.r8y.8xlarge by Alibaba Cloud

ecs.r8y.8xlarge is a ecs.r8y family (32 vCPUs, 256 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 32 vCPUs, 256 GiB of memory and 0 GB of storage. The pricing starts at 0.336 USD per hour.
32 vCPU
256 GiB Memory
Spare SCore
57,723
(All-cores)
1,818
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.r8y.8xlarge
Description
ecs.r8y family (32 vCPUs, 256 GiB RAM, 0 GB storage)
Family
ecs.r8y
Hw Virt
Status
active
Observed At
2026-10-28T23:18:20.666192

Availability

REGION / IDSPOTONDEMAND
Chengdu (CN) / cn-chengdu
0.336 USD/h 1.3438 USD/h
Shanghai (CN) / cn-shanghai
0.4435 USD/h 1.3438 USD/h
Beijing (CN) / cn-beijing
- 1.3438 USD/h
Guangzhou (CN) / cn-guangzhou
- 1.3438 USD/h
Hangzhou (CN) / cn-hangzhou
- 1.3438 USD/h
Shenzhen (CN) / cn-shenzhen
- 1.3438 USD/h
Singapore (SG) / ap-southeast-1
- 1.9479 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
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
    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

      An ARM64-powered, memory-optimized instance delivering high memory bandwidth and dedicated core performance for database and caching workloads.

      Memory OptimizedGeneral Purpose

      Alibaba Cloud ecs.r8y.8xlarge is a memory-optimized, ARM64-based instance powered by a 32-core Alibaba Yitian 710 processor running at 2.75 GHz. It features 256 GB of RAM, providing a high 8 GB per core ratio, and operates on a KVM hypervisor with 16 Gbps baseline network bandwidth. The instance does not include local storage or GPU accelerators. Benchmark data highlights strong performance in memory-bound and multi-threaded tasks, including a high Passmark memory score and efficient database operations, alongside average multi-core CPU performance. The custom ARM architecture offers qualitative resource density and cost efficiency compared to traditional x86 platforms. This instance is well-suited for memory-intensive applications, database hosting, multi-threaded data processing, and Redis caching layers.

      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) 4,750,478 ops/sec 1,919,289 ops/sec 2.5 50.00% 50.00% +58.00%
      Redis RPS (pipeline=16, SET) 29,720,886 ops/sec 11,728,058 ops/sec 2.5 20.00% 20.00% +20.00%
      PassMark Memory Mark (composite) 2,906 2,416 1.2 10.00% 10.00% +1.80%
      Memory bandwidth (read, 16 MB ~ L3) 111,613 MB/sec 108,466 MB/sec 1 10.00% 10.00% 0.00%
      PassMark single-thread CPU 1,638 Mops/s 2,365 Mops/s 0.67 10.00% 10.00% -3.90%

      Memory Bandwidth

      Compression

      OpenSSL

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 22,709
      Compression
      		 190,210
      Encryption
      		 5,209
      Extended Instructions
      		 24,956
      Floating Point Maths
      		 147,569
      Integer Maths
      		 176,035
      Physics
      		 4,991
      Prime Numbers
      		 254
      Single Threaded
      		 1,638
      String Sorting
      		 128,643

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,906
      Database Operations
      		 23,860
      Memory Latency
      		 61
      Memory Read Cached
      		 22,509
      Memory Read Uncached
      		 18,570
      Memory Write
      		 22,022

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 146.35 37.57 0.26×
      bitops
      		 132,869 4,219,113 31.75×
      branch
      		 225,282 7,150,100 31.74×
      funccall
      		 1,676 53,216 31.76×
      funcret
      		 29,007 951,680 32.81×
      hash
      		 156,000 4,946,909 31.71×
      intmath
      		 34,665 1,088,929 31.41×
      nop
      		 400,893 12,725,979 31.74×
      prime
      		 434,349 13,811,430 31.80×
      rotate
      		 115,407 3,664,602 31.75×
      str
      		 611,482 19,404,231 31.73×
      wcs
      		 190,456 6,084,322 31.95×
      CryptographySingleMultiScaling
      crypt
      		 3,356 106,519 31.74×
      CompressionSingleMultiScaling
      jpeg
      		 600.76 18,545 30.87×
      zlib
      		 52.25 1,351 25.85×
      HypervisorSingleMultiScaling
      clock
      		 47,294 334,343 7.07×
      clone
      		 321.24 7,083 22.05×
      context
      		 3,837 124,242 32.38×
      cpu-sched
      		 75.65 2,034 26.89×
      eventfd
      		 90,655 4,047,459 44.65×
      fault
      		 16,510 115,214 6.98×
      fork
      		 2,910 19,508 6.70×
      getrandom
      		 54,448 1,727,946 31.74×
      hrtimers
      		 1,350,324 5,320,594 3.94×
      mprotect
      		 991,622 11,731,459 11.83×
      mtx
      		 8,154,158 1,658,882,388 203.44×
      munmap
      		 2,100 36,002 17.15×
      null
      		 625,955 20,032,343 32.00×
      pipe
      		 884,551 16,883,332 19.09×
      priv-instr
      		 813,758 10,812,307 13.29×
      resched
      		 2,098,103 6,091,560 2.90×
      switch
      		 141,704 9,810,636 69.23×
      timermix
      		 641,038 19,948,368 31.12×
      tlb-shootdown
      		 21,338 78,456 3.68×
      vdso
      		 36,429,350 1,156,912,311 31.76×
      vfork
      		 32,874 161,441 4.91×
      yield
      		 39,766,967 40,059,233 1.01×
      zero
      		 2,926,953 93,314,450 31.88×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 1,868 59,271 31.73×
      expmath
      		 344.84 10,951 31.76×
      fma
      		 676,173 21,446,680 31.72×
      fp
      		 141.6 4,504 31.81×
      fractal
      		 6.8 215.44 31.68×
      hyperbolic
      		 339.93 10,801 31.77×
      logmath
      		 408.67 12,984 31.77×
      matrix
      		 5,792 184,023 31.77×
      matrix-3d
      		 996.4 4,696 4.71×
      monte-carlo
      		 247.19 7,884 31.89×
      mpfr
      		 1,272 40,286 31.68×
      powmath
      		 238.9 7,584 31.75×
      trig
      		 456.99 14,505 31.74×
      veccmp
      		 17,057 541,853 31.77×
      vecfp
      		 804.15 25,523 31.74×
      vecmath
      		 4,280 136,008 31.78×
      vecshuf
      		 895.05 28,100 31.39×
      vecwide
      		 21,561 767,335 35.59×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 8.2 256.19 31.24×
      bsearch
      		 336.04 10,649 31.69×
      bubblesort
      		 1 32 32.00×
      fibsearch
      		 380.02 12,054 31.72×
      heapsort
      		 11.6 367.79 31.71×
      hsearch
      		 6,111 193,606 31.68×
      insertionsort
      		 6.8 216.6 31.85×
      malloc
      		 2,393,490 58,371,161 24.39×
      mcontend
      		 207.87 76,282 366.97×
      mergesort
      		 33.2 1,048 31.57×
      qsort
      		 21.2 676.78 31.92×
      skiplist
      		 6,199 196,082 31.63×
      tree
      		 1.2 19.77 16.48×
      MemorySingleMultiScaling
      cache
      		 426,162 909,813 2.13×
      cachehammer
      		 1,678,292 31,872,008 18.99×
      cacheline
      		 74.14 3,397 45.82×
      l1cache
      		 266.68 8,424 31.59×
      memcpy
      		 635.98 20,183 31.73×
      memrate
      		 4.55 18.44 4.05×
      memthrash
      		 190.16 268.83 1.41×
      ptr-chase
      		 19,146,873 217,044,128 11.34×
      spinmem
      		 3,505 25,583 7.30×
      stream
      		 39.7 6,082 153.19×
      vm
      		 102,224 1,871,921 18.31×

      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.r8y.large 216 GiB0
      ecs.r8y.xlarge 432 GiB0
      ecs.r8y.2xlarge 864 GiB0
      ecs.r8y.4xlarge 16128 GiB0
      ecs.r8y.16xlarge 64512 GiB0

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      ecs.r8y.8xlarge FAQs