ecs.r8ae.4xlarge by Alibaba Cloud

ecs.r8ae.4xlarge is a ecs.r8ae family (16 vCPUs, 128 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 16 vCPUs, 128 GiB of memory and 0 GB of storage. The pricing starts at 0.9599 USD per hour.
16 vCPU
128 GiB Memory
Spare SCore
24,931
(All-cores)
3,101
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.r8ae.4xlarge
Description
ecs.r8ae family (16 vCPUs, 128 GiB RAM, 0 GB storage)
Family
ecs.r8ae
Hw Virt
Average Time To Start
15
Status
active
Observed At
2026-10-29T09:57:34.538127

Availability

REGION / IDSPOTONDEMAND
Beijing (CN) / cn-beijing
- 0.9599 USD/h
Shanghai (CN) / cn-shanghai
- 0.9599 USD/h

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
8
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
256 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
256 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
8 MiB
CPU L3 Cache
32 MiB
CPU L3 Cache Total
32 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
8
Scalability
50

System Resources and Accelerators

MEMORY
Memory Amount
128 GiB
Memory Amount Actual
128 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
      12 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A memory-optimized virtual server featuring dedicated AMD EPYC processors and high memory density for memory-bound workloads.

      Memory OptimizedGeneral Purpose

      Alibaba Cloud ecs.r8ae.4xlarge is a memory-optimized instance featuring 16 dedicated vCPUs and 128.0 GB of RAM, powered by an AMD EPYC 9T34 processor running at 3.4 GHz. Built on the KVM hypervisor, this x86_64 server provides 8.0 GB of memory per core but lacks local storage and GPU hardware. Network connectivity is established with a 12 Gbps baseline bandwidth. Benchmark data indicates strong single-core CPU and text processing performance, placing in the top 25%, while multi-core execution, memory bandwidth, and database operations perform in the average middle 50% range. The processor supports advanced instruction sets such as AVX-512 and vector neural network instructions. This configuration is designed for memory-intensive workloads, caching systems, and database operations that benefit from dedicated compute resources without requiring local storage.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.86Score
      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) 1,485,100 ops/sec 1,919,289 ops/sec 0.79 50.00% 50.00% -11.00%
      Redis RPS (pipeline=16, SET) 11,681,410 ops/sec 11,728,058 ops/sec 1 20.00% 20.00% 0.00%
      PassMark Memory Mark (composite) 2,755 2,416 1.2 10.00% 10.00% +1.80%
      Memory bandwidth (read, 16 MB ~ L3) 54,724 MB/sec 108,466 MB/sec 0.5 10.00% 10.00% -6.70%
      PassMark single-thread CPU 2,921 Mops/s 2,365 Mops/s 1.2 10.00% 10.00% +1.80%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 2,012

      Geekbench Multi-Core

      Score: 12,095

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 26,669
      Compression
      		 312,273
      Encryption
      		 19,498
      Extended Instructions
      		 22,213
      Floating Point Maths
      		 43,061
      Integer Maths
      		 77,015
      Physics
      		 2,540
      Prime Numbers
      		 124
      Single Threaded
      		 2,921
      String Sorting
      		 45,817

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,755
      Database Operations
      		 7,533
      Memory Latency
      		 72
      Memory Read Cached
      		 27,794
      Memory Read Uncached
      		 26,511
      Memory Write
      		 26,024

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 550.29 326.66 0.59×
      bitops
      		 161,367 1,562,808 9.68×
      branch
      		 214,195 3,071,715 14.34×
      funccall
      		 622.92 6,857 11.01×
      funcret
      		 21,528 253,182 11.76×
      hash
      		 164,510 1,981,248 12.04×
      intmath
      		 67,874 719,993 10.61×
      nop
      		 632,912 5,118,466 8.09×
      prime
      		 483,708 5,096,419 10.54×
      rotate
      		 88,855 709,843 7.99×
      str
      		 1,098,239 10,869,447 9.90×
      wcs
      		 692,973 6,480,353 9.35×
      CryptographySingleMultiScaling
      crypt
      		 3,763 32,536 8.65×
      CompressionSingleMultiScaling
      jpeg
      		 895.57 9,530 10.64×
      zlib
      		 59.55 910.19 15.28×
      HypervisorSingleMultiScaling
      clock
      		 18,794 210,140 11.18×
      clone
      		 473.23 3,094 6.54×
      context
      		 1,796 21,647 12.05×
      cpu-sched
      		 73 1,048 14.36×
      eventfd
      		 65,607 851,526 12.98×
      fault
      		 11,068 131,724 11.90×
      fork
      		 4,713 48,191 10.23×
      getrandom
      		 50,287 539,729 10.73×
      hrtimers
      		 188,664 1,700,959 9.02×
      mprotect
      		 1,223,186 2,359,948 1.93×
      mtx
      		 39,401,028 1,166,096,858 29.60×
      munmap
      		 3,225 34,077 10.57×
      null
      		 193,609 2,169,875 11.21×
      pipe
      		 957,286 4,786,475 5.00×
      priv-instr
      		 331,603 4,055,398 12.23×
      resched
      		 3,712,293 1,339,209 0.36×
      switch
      		 147,843 1,851,298 12.52×
      timermix
      		 183,173 2,477,899 13.53×
      tlb-shootdown
      		 20,438 66,444 3.25×
      tsc
      		 792,361 12,329,842 15.56×
      usersyscall
      		 238,590 2,901,221 12.16×
      vdso
      		 95,098,726 1,254,638,102 13.19×
      vfork
      		 38,492 265,197 6.89×
      x86syscall
      		 2,223,068 25,122,082 11.30×
      yield
      		 8,129,531 8,700,152 1.07×
      zero
      		 1,669,613 19,159,067 11.48×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 15,873 140,519 8.85×
      expmath
      		 3,111 37,893 12.18×
      fma
      		 925,408 12,128,415 13.11×
      fp
      		 253.58 3,112 12.27×
      fractal
      		 7.6 101.61 13.37×
      hyperbolic
      		 3,847 45,740 11.89×
      logmath
      		 4,591 52,199 11.37×
      matrix
      		 4,937 46,460 9.41×
      matrix-3d
      		 675.84 2,468 3.65×
      monte-carlo
      		 107.1 1,255 11.72×
      mpfr
      		 1,703 17,193 10.09×
      powmath
      		 1,331 17,379 13.05×
      trig
      		 1,875 22,910 12.22×
      veccmp
      		 19,179 199,619 10.41×
      vecfp
      		 1,815 21,662 11.94×
      vecmath
      		 4,053 52,463 12.95×
      vecshuf
      		 642.91 6,353 9.88×
      vecwide
      		 28,788 308,918 10.73×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 10.4 96 9.23×
      bsearch
      		 308.2 3,482 11.30×
      bubblesort
      		 0.8 11.4 14.25×
      fibsearch
      		 382.15 3,730 9.76×
      heapsort
      		 11 121 11.00×
      hsearch
      		 11,491 99,830 8.69×
      insertionsort
      		 13 105.2 8.09×
      malloc
      		 3,897,362 40,546,826 10.40×
      mcontend
      		 257.98 3,388 13.13×
      mergesort
      		 34.6 407.19 11.77×
      qsort
      		 22 251.19 11.42×
      skiplist
      		 7,074 91,187 12.89×
      tree
      		 2 12.79 6.39×
      MemorySingleMultiScaling
      cache
      		 901,267 2,509,382 2.78×
      cachehammer
      		 282,954 4,199,169 14.84×
      cacheline
      		 82.64 1,355 16.39×
      l1cache
      		 259.32 2,381 9.18×
      memcpy
      		 449.13 3,698 8.23×
      memrate
      		 3.91 6.12 1.57×
      memthrash
      		 242.93 657.58 2.71×
      ptr-chase
      		 45,461,986 131,933,640 2.90×
      spinmem
      		 292.79 926.86 3.17×
      stream
      		 136.24 3,349 24.58×
      vm
      		 70,271 293,230 4.17×

      Stress-ng Raw Scores

      Stress-ng Relative Multicore Performance

      Static Web Server

      Redis

      Alternatives

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      INSTANCEvCPUsMEMORYAccelerators
      ecs.r8ae.large 216 GiB0
      ecs.r8ae.xlarge 432 GiB0
      ecs.r8ae.2xlarge 864 GiB0
      ecs.r8ae.8xlarge 32256 GiB0

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      ecs.r8ae.4xlarge FAQs