ecs.r8ae.8xlarge by Alibaba Cloud

ecs.r8ae.8xlarge is a ecs.r8ae 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 1.9198 USD per hour.
32 vCPU
256 GiB Memory
Spare SCore
49,877
(All-cores)
3,092
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.r8ae.8xlarge
Description
ecs.r8ae family (32 vCPUs, 256 GiB RAM, 0 GB storage)
Family
ecs.r8ae
Hw Virt
Average Time To Start
13
Status
active
Observed At
2026-10-29T09:57:34.538170

Availability

REGION / IDSPOTONDEMAND
Beijing (CN) / cn-beijing
- 1.9198 USD/h
Shanghai (CN) / cn-shanghai
- 1.9198 USD/h

Processor

vCPUs
32
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
16
CPU Speed
3.4 GHz
CPU Architecture
x86_64
CPU Manufacturer
AMD
CPU Family
EPYC
CPU Model
9T34
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
32 MiB
CPU L3 Cache Total
64 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, ht, syscall, nx, mmxext, fxsr_opt, pdpe1gb, rdtscp, lm, constant_tsc, rep_good, amd_lbr_v2, nopl, nonstop_tsc, cpuid, extd_apicid, aperfmperf, 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, cmp_legacy, extapic, cr8_legacy, abm, sse4a, misalignsse, 3dnowprefetch, osvw, ibs, topoext, perfctr_core, perfctr_llc, mwaitx, ssbd, perfmon_v2, ibrs, ibpb, stibp, ibrs_enhanced, vmmcall, fsgsbase, tsc_adjust, bmi1, avx2, smep, bmi2, erms, invpcid, avx512f, avx512dq, rdseed, adx, smap, avx512ifma, clflushopt, clwb, avx512cd, sha_ni, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, avx512_bf16, clzero, irperf, xsaveerptr, rdpru, wbnoinvd, arat, avx512vbmi, umip, pku, ospke, avx512_vbmi2, gfni, vaes, vpclmulqdq, avx512_vnni, avx512_bitalg, avx512_vpopcntdq, rdpid, fsrm
Ecpus
16.1
Scalability
50.31

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
      20 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A memory-optimized x86_64 instance featuring dedicated AMD EPYC processors and high memory density for memory-intensive enterprise workloads.

      Memory OptimizedGeneral Purpose

      Alibaba Cloud ecs.r8ae.8xlarge is an x86_64 memory-optimized instance featuring 32 dedicated vCPUs and 256.0 GB of RAM, powered by an AMD EPYC 9T34 processor running at 3.4 GHz. Operating on a KVM hypervisor, it provides a baseline network bandwidth of 20 Gbps but contains no local storage or GPU hardware. Benchmark results highlight strong single-core CPU performance, high memory scores, and excellent cryptographic execution, supported by hardware-accelerated instruction sets like AES and SHA_NI. Conversely, multi-core computational tasks and memory bandwidth under large block sizes fall into average performance tiers. Due to its high memory-to-vCPU ratio of 8 GB per vCPU and the absence of local storage, this instance is qualitatively cost-efficient for memory-heavy workloads that rely on network storage. It is well-suited for hosting in-memory databases, caching systems, and enterprise applications requiring substantial memory capacity.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.5Score
      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) 2,973,564 ops/sec 1,919,289 ops/sec 1.6 50.00% 50.00% +26.00%
      Redis RPS (pipeline=16, SET) 23,316,826 ops/sec 11,728,058 ops/sec 1.9 20.00% 20.00% +14.00%
      PassMark Memory Mark (composite) 2,785 2,416 1.2 10.00% 10.00% +1.80%
      Memory bandwidth (read, 16 MB ~ L3) 106,855 MB/sec 108,466 MB/sec 1 10.00% 10.00% 0.00%
      PassMark single-thread CPU 2,908 Mops/s 2,365 Mops/s 1.2 10.00% 10.00% +1.80%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 2,018

      Geekbench Multi-Core

      Score: 17,012

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      47,232
      Compression
      624,316
      Encryption
      39,057
      Extended Instructions
      44,583
      Floating Point Maths
      86,203
      Integer Maths
      154,055
      Physics
      4,888
      Prime Numbers
      245
      Single Threaded
      2,908
      String Sorting
      90,532

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      2,785
      Database Operations
      15,153
      Memory Latency
      77
      Memory Read Cached
      27,868
      Memory Read Uncached
      26,320
      Memory Write
      25,765

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      401.09 223.62 0.56×
      bitops
      161,527 3,127,295 19.36×
      branch
      214,008 6,146,866 28.72×
      funccall
      622.13 13,855 22.27×
      funcret
      21,067 508,426 24.13×
      hash
      164,190 3,974,643 24.21×
      intmath
      67,364 1,446,808 21.48×
      nop
      630,876 10,265,629 16.27×
      prime
      485,765 9,413,890 19.38×
      rotate
      88,650 1,425,079 16.08×
      str
      1,014,270 20,182,817 19.90×
      wcs
      699,212 13,280,248 18.99×
      CryptographySingleMultiScaling
      crypt
      3,774 65,364 17.32×
      CompressionSingleMultiScaling
      jpeg
      860.03 18,865 21.93×
      zlib
      76.34 1,715 22.47×
      HypervisorSingleMultiScaling
      clock
      22,813 283,241 12.42×
      clone
      307.33 5,502 17.90×
      context
      2,893 82,603 28.55×
      cpu-sched
      61.85 2,043 33.03×
      eventfd
      72,791 2,000,486 27.48×
      fault
      11,615 232,889 20.05×
      fork
      4,291 66,858 15.58×
      getrandom
      52,074 1,117,930 21.47×
      hrtimers
      204,013 3,664,964 17.96×
      mprotect
      733,179 6,106,965 8.33×
      mtx
      33,031,390 2,105,341,032 63.74×
      munmap
      2,885 48,652 16.86×
      null
      341,671 9,494,314 27.79×
      pipe
      1,261,806 11,849,522 9.39×
      priv-instr
      412,648 10,513,794 25.48×
      resched
      7,166,479 3,965,412 0.55×
      switch
      146,324 4,021,134 27.48×
      timermix
      231,083 5,617,727 24.31×
      tlb-shootdown
      13,360 129,669 9.71×
      tsc
      790,346 24,784,282 31.36×
      usersyscall
      320,196 8,337,358 26.04×
      vdso
      95,058,202 2,521,110,562 26.52×
      vfork
      27,848 171,527 6.16×
      x86syscall
      3,905,973 109,839,961 28.12×
      yield
      24,431,509 20,394,900 0.83×
      zero
      2,684,586 73,797,027 27.49×
      CPU float/SIMDSingleMultiScaling
      eigen
      16,464 282,644 17.17×
      expmath
      2,749 70,989 25.82×
      fma
      925,892 24,402,932 26.36×
      fp
      253.2 6,226 24.59×
      fractal
      7.6 204.23 26.87×
      hyperbolic
      3,847 92,447 24.03×
      logmath
      4,591 105,331 22.94×
      matrix
      4,940 93,690 18.96×
      matrix-3d
      957.94 5,132 5.36×
      monte-carlo
      171.14 4,472 26.13×
      mpfr
      1,696 34,471 20.32×
      powmath
      1,369 35,511 25.93×
      trig
      1,872 46,008 24.57×
      veccmp
      19,169 400,634 20.90×
      vecfp
      1,812 42,564 23.49×
      vecmath
      4,055 105,023 25.90×
      vecshuf
      642.72 12,716 19.79×
      vecwide
      28,769 617,504 21.46×
      AlgorithmsSingleMultiScaling
      bitonicsort
      10.4 192 18.46×
      bsearch
      306.94 6,406 20.87×
      bubblesort
      0.8 21.4 26.75×
      fibsearch
      383.46 7,499 19.56×
      heapsort
      11.2 243.19 21.71×
      hsearch
      11,382 201,292 17.68×
      insertionsort
      13.2 211.4 16.02×
      malloc
      3,935,436 55,771,856 14.17×
      mcontend
      155.87 6,055 38.85×
      mergesort
      34.8 814.18 23.40×
      qsort
      22 506.19 23.01×
      skiplist
      6,884 184,038 26.73×
      tree
      2 25.97 12.98×
      MemorySingleMultiScaling
      cache
      887,156 1,668,385 1.88×
      cachehammer
      282,228 7,806,491 27.66×
      cacheline
      65.56 2,577 39.30×
      l1cache
      252.23 4,738 18.79×
      memcpy
      451.27 7,347 16.28×
      memrate
      3.93 12.17 3.10×
      memthrash
      158.41 1,268 8.01×
      ptr-chase
      45,525,141 260,858,373 5.73×
      spinmem
      284.79 1,913 6.72×
      stream
      135.81 13,462 99.13×
      vm
      91,873 296,043 3.22×

      Stress-ng Raw Scores

      Stress-ng Relative Multicore Performance

      Static Web Server

      Redis

      Alternatives

      Servers of the Same Family

      INSTANCEvCPUsMEMORYAccelerators
      ecs.r8ae.large 216 GiB0
      ecs.r8ae.xlarge 432 GiB0
      ecs.r8ae.2xlarge 864 GiB0
      ecs.r8ae.4xlarge 16128 GiB0

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      ecs.r8ae.8xlarge FAQs