ecs.r8a.4xlarge by Alibaba Cloud

ecs.r8a.4xlarge is a ecs.r8a 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 0.8418 USD per hour.
16 vCPU
128 GiB Memory
Spare SCore
24,599
(All-cores)
3,074
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.r8a.4xlarge
Description
ecs.r8a family (16 vCPUs, 128 GiB RAM, 0 GB storage)
Family
ecs.r8a
Hw Virt
Average Time To Start
12.33
Status
active
Observed At
2026-10-25T20:37:05.520172

Availability

REGION / IDSPOTONDEMAND
Shenzhen (CN) / cn-shenzhen
- 0.8418 USD/h

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
8
CPU Speed
2.7 GHz
CPU Architecture
x86_64
CPU Manufacturer
AMD
CPU Family
EPYC
CPU Model
9T24
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
      7 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 RAM density for memory-intensive enterprise workloads.

      Memory OptimizedGeneral Purpose

      Alibaba Cloud ecs.r8a.4xlarge is a memory-optimized instance featuring 16 dedicated vCPUs and 128.0 GB of RAM, powered by an AMD EPYC 9T24 processor running at 2.7 GHz on the x86_64 architecture. Utilizing the KVM hypervisor, this server provides a high memory-to-vCPU ratio of 8.0 GB per core. It lacks local storage and GPU accelerators, relying on network-attached storage and a baseline network bandwidth of 7 Gbps. Benchmark data reveals strong single-core CPU and text processing performance, placing in the top 25%, while multi-core execution and database operations remain average. A key hardware tradeoff is its uncached large-block read memory bandwidth, which ranks in the bottom 25%. This instance is qualitatively cost-efficient for memory-heavy workloads, making it well-suited for database hosting, caching layers, and enterprise applications requiring substantial memory capacity without local disk requirements.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.81Score
      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) 1,466,925 ops/sec 1,919,289 ops/sec 0.79 50.00% 50.00% -11.00%
      Redis RPS (pipeline=16, SET) 11,348,756 ops/sec 11,728,058 ops/sec 0.92 20.00% 20.00% -1.70%
      PassMark Memory Mark (composite) 2,410 2,416 1 10.00% 10.00% 0.00%
      Memory bandwidth (read, 16 MB ~ L3) 42,206 MB/sec 108,466 MB/sec 0.38 10.00% 10.00% -9.20%
      PassMark single-thread CPU 2,879 Mops/s 2,365 Mops/s 1.2 10.00% 10.00% +1.80%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,989

      Geekbench Multi-Core

      Score: 11,631

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 26,392
      Compression
      		 313,088
      Encryption
      		 19,273
      Extended Instructions
      		 21,881
      Floating Point Maths
      		 42,493
      Integer Maths
      		 75,967
      Physics
      		 2,470
      Prime Numbers
      		 125
      Single Threaded
      		 2,879
      String Sorting
      		 45,234

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,410
      Database Operations
      		 7,854
      Memory Latency
      		 86
      Memory Read Cached
      		 27,476
      Memory Read Uncached
      		 24,726
      Memory Write
      		 26,026

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 543.1 322.81 0.59×
      bitops
      		 160,273 1,547,212 9.65×
      branch
      		 212,364 3,044,324 14.34×
      funccall
      		 617.75 6,895 11.16×
      funcret
      		 20,798 251,443 12.09×
      hash
      		 163,077 1,958,117 12.01×
      intmath
      		 67,217 720,954 10.73×
      nop
      		 626,231 5,086,534 8.12×
      prime
      		 482,757 5,056,678 10.47×
      rotate
      		 88,127 706,611 8.02×
      str
      		 1,051,283 11,183,225 10.64×
      wcs
      		 694,071 6,433,456 9.27×
      CryptographySingleMultiScaling
      crypt
      		 3,726 32,329 8.68×
      CompressionSingleMultiScaling
      jpeg
      		 832.82 9,228 11.08×
      zlib
      		 57.06 844.78 14.81×
      HypervisorSingleMultiScaling
      clock
      		 18,565 208,896 11.25×
      clone
      		 447.7 3,024 6.75×
      context
      		 1,776 21,464 12.08×
      cpu-sched
      		 55.68 1,019 18.29×
      eventfd
      		 72,626 861,076 11.86×
      fault
      		 10,760 130,373 12.12×
      fork
      		 4,723 49,003 10.38×
      getrandom
      		 50,731 536,645 10.58×
      hrtimers
      		 316,079 1,648,326 5.21×
      mprotect
      		 1,235,738 2,375,286 1.92×
      mtx
      		 33,616,768 1,121,965,332 33.38×
      munmap
      		 3,251 35,751 11.00×
      null
      		 192,733 2,226,581 11.55×
      pipe
      		 954,189 4,872,878 5.11×
      priv-instr
      		 328,264 4,058,018 12.36×
      resched
      		 3,780,959 1,602,343 0.42×
      switch
      		 188,458 1,883,978 10.00×
      timermix
      		 184,744 2,449,198 13.26×
      tlb-shootdown
      		 22,107 68,187 3.08×
      tsc
      		 783,807 12,269,323 15.65×
      usersyscall
      		 237,988 2,929,664 12.31×
      vdso
      		 92,375,636 1,197,052,397 12.96×
      vfork
      		 40,458 269,361 6.66×
      x86syscall
      		 2,202,146 25,166,122 11.43×
      yield
      		 7,984,261 8,314,249 1.04×
      zero
      		 1,676,016 19,934,344 11.89×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 16,034 140,144 8.74×
      expmath
      		 2,856 36,004 12.61×
      fma
      		 918,974 12,083,536 13.15×
      fp
      		 251.39 3,098 12.32×
      fractal
      		 7.4 101.2 13.68×
      hyperbolic
      		 3,813 45,746 12.00×
      logmath
      		 4,552 52,173 11.46×
      matrix
      		 4,899 46,373 9.47×
      matrix-3d
      		 389.81 2,055 5.27×
      monte-carlo
      		 106.9 1,206 11.29×
      mpfr
      		 1,688 17,169 10.17×
      powmath
      		 1,299 17,033 13.11×
      trig
      		 1,858 22,840 12.30×
      veccmp
      		 19,014 198,520 10.44×
      vecfp
      		 1,808 21,320 11.79×
      vecmath
      		 4,025 52,128 12.95×
      vecshuf
      		 637.77 6,297 9.87×
      vecwide
      		 28,565 306,339 10.72×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 10.4 95.4 9.17×
      bsearch
      		 305.9 3,434 11.22×
      bubblesort
      		 0.8 10 12.50×
      fibsearch
      		 379.77 3,710 9.77×
      heapsort
      		 11 121.4 11.04×
      hsearch
      		 11,348 98,341 8.67×
      insertionsort
      		 12.8 102.8 8.03×
      malloc
      		 3,789,174 40,276,349 10.63×
      mcontend
      		 249.84 3,127 12.52×
      mergesort
      		 34 404.59 11.90×
      qsort
      		 21.4 251.79 11.77×
      skiplist
      		 6,961 90,876 13.05×
      tree
      		 2 12.79 6.39×
      MemorySingleMultiScaling
      cache
      		 874,727 1,965,828 2.25×
      cachehammer
      		 287,508 4,076,745 14.18×
      cacheline
      		 78.94 1,320 16.73×
      l1cache
      		 266.84 2,375 8.90×
      memcpy
      		 447.4 3,670 8.20×
      memrate
      		 3.71 6.11 1.65×
      memthrash
      		 179.37 586.05 3.27×
      ptr-chase
      		 44,266,909 127,883,696 2.89×
      spinmem
      		 282.79 819.09 2.90×
      stream
      		 130.62 3,229 24.72×
      vm
      		 74,653 293,068 3.93×

      Stress-ng Raw Scores

      Stress-ng Relative Multicore Performance

      Static Web Server

      Redis

      Alternatives

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      INSTANCEvCPUsMEMORYAccelerators
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      ecs.r8a.12xlarge 48384 GiB0
      ecs.r8a.16xlarge 64512 GiB0
      ecs.r8a.24xlarge 96768 GiB0

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      ecs.r8a.4xlarge FAQs