ecs.r5.2xlarge by Alibaba Cloud

ecs.r5.2xlarge is a ecs.r5 family (8 vCPUs, 64 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 8 vCPUs, 64 GiB of memory and 0 GB of storage. The pricing starts at 0.0934 USD per hour.
8 vCPU
64 GiB Memory
Spare SCore
5,885
(All-cores)
1,106
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.r5.2xlarge
Description
ecs.r5 family (8 vCPUs, 64 GiB RAM, 0 GB storage)
Family
ecs.r5
Hw Virt
Status
active
Observed At
2026-10-16T13:33:29.210926

Availability

REGION / IDSPOTONDEMAND
Jakarta (ID) / ap-southeast-5
0.0934 USD/h 0.584 USD/h
Beijing (CN) / cn-beijing
- 0.72 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.72 USD/h

Processor

vCPUs
8
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
4
CPU Speed
2.5 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8163
CPU L1D Cache
32 KiB
CPU L1D Cache Total
128 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
128 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
4 MiB
CPU L3 Cache
36 MiB
CPU L3 Cache Total
36 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, ss, ht, syscall, nx, pdpe1gb, rdtscp, lm, constant_tsc, rep_good, nopl, xtopology, nonstop_tsc, cpuid, 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, abm, 3dnowprefetch, pti, fsgsbase, tsc_adjust, bmi1, avx2, smep, bmi2, erms, invpcid, avx512f, avx512dq, rdseed, adx, smap, clflushopt, clwb, avx512cd, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, arat, avx512_vnni
Ecpus
5.3
Scalability
66.25

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
      2.5 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 a high RAM-to-vCPU ratio for memory-bound workloads and in-memory database applications.

      Memory Optimized

      Alibaba Cloud ecs.r5.2xlarge is a memory-optimized virtual server featuring 8 dedicated vCPUs and 64.0 GB of RAM, running on an Intel Xeon 8163 processor at 2.5 GHz. Utilizing the KVM hypervisor, this x86_64 instance provides a high memory-to-core ratio of 8.0 GB per vCPU, though it lacks local storage and GPU accelerators. Performance benchmarks show average results for large-block memory bandwidth and Passmark CPU tests, alongside weaker single-core and multi-core processing scores. With a baseline network bandwidth of 2 Gbps, the instance is qualitatively cost-effective for memory-intensive workloads that do not demand extreme compute power. It is well-suited for in-memory databases, caching layers, and general memory-bound applications.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.38Score
      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) 617,843 ops/sec 1,918,343 ops/sec 0.33 50.00% 50.00% -43.00%
      Redis RPS (pipeline=16, SET) 3,546,543 ops/sec 11,704,734 ops/sec 0.29 20.00% 20.00% -22.00%
      PassMark Memory Mark (composite) 1,768 2,416 0.75 10.00% 10.00% -2.80%
      Memory bandwidth (read, 16 MB ~ L3) 46,116 MB/sec 108,420 MB/sec 0.42 10.00% 10.00% -8.30%
      PassMark single-thread CPU 1,648 Mops/s 2,365 Mops/s 0.67 10.00% 10.00% -3.90%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 969

      Geekbench Multi-Core

      Score: 3,819

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 6,967
      Compression
      		 91,731
      Encryption
      		 2,721
      Extended Instructions
      		 6,068
      Floating Point Maths
      		 10,549
      Integer Maths
      		 19,642
      Physics
      		 749
      Prime Numbers
      		 40
      Single Threaded
      		 1,648
      String Sorting
      		 12,229

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,768
      Database Operations
      		 2,218
      Memory Latency
      		 75
      Memory Read Cached
      		 19,397
      Memory Read Uncached
      		 7,045
      Memory Write
      		 7,264

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 199.03 197.18 0.99×
      bitops
      		 96,982 431,147 4.45×
      branch
      		 121,957 738,757 6.06×
      funccall
      		 449.03 1,886 4.20×
      funcret
      		 9,112 52,898 5.81×
      hash
      		 103,502 611,147 5.90×
      intmath
      		 18,128 108,008 5.96×
      nop
      		 151,444 524,067 3.46×
      prime
      		 261,038 1,165,341 4.46×
      rotate
      		 76,536 390,020 5.10×
      str
      		 633,782 3,350,189 5.29×
      wcs
      		 425,479 1,832,987 4.31×
      CryptographySingleMultiScaling
      crypt
      		 1,929 7,528 3.90×
      CompressionSingleMultiScaling
      jpeg
      		 493.55 2,488 5.04×
      zlib
      		 40.87 244.94 5.99×
      HypervisorSingleMultiScaling
      clock
      		 14,958 83,209 5.56×
      clone
      		 355.6 1,407 3.96×
      context
      		 1,535 8,307 5.41×
      cpu-sched
      		 67.09 523.82 7.81×
      eventfd
      		 73,117 373,284 5.11×
      fault
      		 10,656 57,369 5.38×
      fork
      		 3,366 19,495 5.79×
      getrandom
      		 35,612 176,589 4.96×
      hrtimers
      		 252,192 722,793 2.87×
      mprotect
      		 724,488 980,116 1.35×
      mtx
      		 11,618,393 182,224,601 15.68×
      munmap
      		 2,422 12,693 5.24×
      null
      		 163,960 828,675 5.05×
      pipe
      		 808,445 2,021,811 2.50×
      priv-instr
      		 348,393 1,827,376 5.25×
      resched
      		 1,408,184 630,876 0.45×
      switch
      		 178,178 830,010 4.66×
      timermix
      		 338,214 1,867,629 5.52×
      tlb-shootdown
      		 9,936 18,907 1.90×
      tsc
      		 788,505 4,428,962 5.62×
      usersyscall
      		 244,441 1,242,132 5.08×
      vdso
      		 64,155,226 452,913,800 7.06×
      vfork
      		 24,948 101,490 4.07×
      x86syscall
      		 1,844,934 9,289,138 5.03×
      yield
      		 3,264,158 3,493,109 1.07×
      zero
      		 1,262,556 5,886,324 4.66×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 12,822 67,261 5.25×
      expmath
      		 2,133 13,018 6.10×
      fma
      		 509,934 3,334,915 6.54×
      fp
      		 98.25 576.05 5.86×
      fractal
      		 4 23 5.75×
      hyperbolic
      		 2,211 13,899 6.28×
      logmath
      		 3,612 21,814 6.04×
      matrix
      		 2,438 15,947 6.54×
      matrix-3d
      		 527.08 1,597 3.03×
      monte-carlo
      		 85.71 440.69 5.14×
      mpfr
      		 967.89 4,178 4.32×
      powmath
      		 1,257 7,698 6.12×
      trig
      		 1,356 7,357 5.42×
      veccmp
      		 12,342 50,955 4.13×
      vecfp
      		 1,101 5,513 5.01×
      vecmath
      		 1,728 10,922 6.32×
      vecshuf
      		 446.41 1,917 4.29×
      vecwide
      		 21,094 95,564 4.53×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 5.8 26.6 4.59×
      bsearch
      		 197.67 897.28 4.54×
      bubblesort
      		 0.6 1.6 2.67×
      fibsearch
      		 222.46 1,119 5.03×
      heapsort
      		 6.6 32.6 4.94×
      hsearch
      		 4,056 19,689 4.85×
      insertionsort
      		 6.4 25.6 4.00×
      malloc
      		 1,559,486 12,215,900 7.83×
      mcontend
      		 139.86 1,855 13.27×
      mergesort
      		 21.2 111.6 5.26×
      qsort
      		 15 73.6 4.91×
      skiplist
      		 4,140 23,565 5.69×
      tree
      		 1 4.8 4.80×
      MemorySingleMultiScaling
      cache
      		 231,622 362,204 1.56×
      cachehammer
      		 250,360 1,802,288 7.20×
      cacheline
      		 28.09 252.64 8.99×
      l1cache
      		 179.84 776.3 4.32×
      memcpy
      		 302.14 1,222 4.04×
      memrate
      		 0.97 4.55 4.69×
      memthrash
      		 124.61 261.25 2.10×
      ptr-chase
      		 11,935,384 62,414,476 5.23×
      spinmem
      		 316.19 476.3 1.51×
      stream
      		 31.55 1,202 38.09×
      vm
      		 29,799 267,976 8.99×

      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
      ecs.r5.large 216 GiB0
      ecs.r5.xlarge 432 GiB0
      ecs.r5.3xlarge 1296 GiB0
      ecs.r5.4xlarge 16128 GiB0
      ecs.r5.6xlarge 24192 GiB0
      ecs.r5.8xlarge 32256 GiB0
      ecs.r5.16xlarge 64512 GiB0

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      ecs.r5.2xlarge FAQs