ecs.r7.2xlarge by Alibaba Cloud

ecs.r7.2xlarge is a ecs.r7 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 0.0885 USD per hour.
8 vCPU
64 GiB Memory
Spare SCore
7,717
(All-cores)
1,831
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.r7.2xlarge
Description
ecs.r7 family (8 vCPUs, 64 GiB RAM, 0 GB storage)
Family
ecs.r7
Hw Virt
Status
active
Observed At
2026-10-24T15:16:59.081979

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
0.0885 USD/h 0.3847 USD/h
Ulanqab (CN) / cn-wulanchabu
0.1009 USD/h 0.3879 USD/h
Shanghai (CN) / cn-shanghai
0.11205 USD/h 0.431 USD/h
Guangzhou (CN) / cn-guangzhou
- 0.431 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.431 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.431 USD/h
Virginia (US) / us-east-1
- 0.454 USD/h
Tokyo (JP) / ap-northeast-1
0.1039 USD/h 0.547 USD/h
Frankfurt (DE) / eu-central-1
- 0.547 USD/h
Hong Kong (HK) / cn-hongkong
- 0.6012 USD/h

Processor

vCPUs
8
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
4
CPU Speed
2.7 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8369B
CPU L1D Cache
48 KiB
CPU L1D Cache Total
192 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
128 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
5 MiB
CPU L3 Cache
48 MiB
CPU L3 Cache Total
48 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, 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, abm, 3dnowprefetch, cpuid_fault, ibrs_enhanced, 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, wbnoinvd, arat, avx512vbmi, pku, ospke, avx512_vbmi2, gfni, vaes, vpclmulqdq, avx512_vnni, avx512_bitalg, avx512_vpopcntdq, rdpid, fsrm, arch_capabilities
Ecpus
4.2
Scalability
52.5

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
      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 dedicated Intel Xeon processors and high memory density for database and caching workloads.

      Memory Optimized

      Alibaba Cloud ecs.r7.2xlarge is a memory-optimized virtual machine featuring 8 dedicated vCPUs and 64.0 GB of RAM, running on the KVM hypervisor. Powered by an Intel Xeon 8369B processor at 2.7 GHz, it utilizes the x86_64 architecture and supports AVX-512 and AES instructions. The instance lacks local storage and GPUs, relying on a 5 Gbps baseline network bandwidth. Performance benchmarks, including Geekbench and stress-ng, consistently place the instance in the average middle 50% tier. However, multi-threaded bzip3 decompression is weak, and medium-model LLM inference falls into the bottom 10%. Qualitatively, the server provides high memory density relative to compute, making it suitable for memory-intensive workloads like database operations, Redis caching, and static web serving, while being less optimal for heavy parallel computing or advanced machine learning tasks.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.61Score
      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) 1,064,104 ops/sec 1,919,289 ops/sec 0.58 50.00% 50.00% -24.00%
      Redis RPS (pipeline=16, SET) 5,281,730 ops/sec 11,728,058 ops/sec 0.44 20.00% 20.00% -15.00%
      PassMark Memory Mark (composite) 2,387 2,416 1 10.00% 10.00% 0.00%
      Memory bandwidth (read, 16 MB ~ L3) 57,008 MB/sec 108,466 MB/sec 0.52 10.00% 10.00% -6.30%
      PassMark single-thread CPU 2,351 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,476

      Geekbench Multi-Core

      Score: 5,558

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 11,208
      Compression
      		 124,603
      Encryption
      		 7,281
      Extended Instructions
      		 6,924
      Floating Point Maths
      		 17,155
      Integer Maths
      		 33,523
      Physics
      		 1,201
      Prime Numbers
      		 63
      Single Threaded
      		 2,351
      String Sorting
      		 17,454

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,387
      Database Operations
      		 3,984
      Memory Latency
      		 56
      Memory Read Cached
      		 24,074
      Memory Read Uncached
      		 9,669
      Memory Write
      		 10,418

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 269.05 332.87 1.24×
      bitops
      		 129,813 530,046 4.08×
      branch
      		 136,870 863,814 6.31×
      funccall
      		 633.43 2,593 4.09×
      funcret
      		 11,608 69,476 5.99×
      hash
      		 150,610 872,587 5.79×
      intmath
      		 61,121 298,928 4.89×
      nop
      		 189,658 663,589 3.50×
      prime
      		 391,999 1,710,449 4.36×
      rotate
      		 97,463 418,899 4.30×
      str
      		 819,683 3,634,479 4.43×
      wcs
      		 590,895 2,139,471 3.62×
      CryptographySingleMultiScaling
      crypt
      		 2,828 10,484 3.71×
      CompressionSingleMultiScaling
      jpeg
      		 721.73 3,760 5.21×
      zlib
      		 62.51 352.53 5.64×
      HypervisorSingleMultiScaling
      clock
      		 25,550 149,659 5.86×
      clone
      		 512.16 1,704 3.33×
      context
      		 4,823 28,827 5.98×
      cpu-sched
      		 64.87 501.17 7.73×
      eventfd
      		 109,306 722,324 6.61×
      fault
      		 17,437 85,069 4.88×
      fork
      		 5,443 32,097 5.90×
      getrandom
      		 50,979 234,912 4.61×
      hrtimers
      		 398,663 1,258,088 3.16×
      mprotect
      		 1,061,919 2,097,703 1.98×
      mtx
      		 13,029,527 274,266,670 21.05×
      munmap
      		 3,933 21,261 5.41×
      null
      		 791,788 3,885,343 4.91×
      pipe
      		 1,025,291 4,542,611 4.43×
      priv-instr
      		 817,380 4,115,729 5.04×
      resched
      		 3,348,215 1,161,569 0.35×
      switch
      		 195,961 1,480,929 7.56×
      timermix
      		 357,023 2,396,125 6.71×
      tlb-shootdown
      		 13,579 21,251 1.57×
      tsc
      		 766,423 4,525,006 5.90×
      usersyscall
      		 640,411 3,186,283 4.98×
      vdso
      		 112,014,112 504,170,959 4.50×
      vfork
      		 38,539 140,246 3.64×
      x86syscall
      		 9,081,387 48,762,010 5.37×
      yield
      		 6,231,483 6,268,989 1.01×
      zero
      		 4,606,347 20,392,778 4.43×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 14,761 75,703 5.13×
      expmath
      		 2,875 16,770 5.83×
      fma
      		 658,601 4,564,038 6.93×
      fp
      		 199.2 818.28 4.11×
      fractal
      		 5 29.4 5.88×
      hyperbolic
      		 3,054 18,088 5.92×
      logmath
      		 4,838 27,948 5.78×
      matrix
      		 3,507 21,469 6.12×
      matrix-3d
      		 541.17 2,087 3.86×
      monte-carlo
      		 258.66 1,377 5.32×
      mpfr
      		 1,402 6,015 4.29×
      powmath
      		 1,683 10,001 5.94×
      trig
      		 1,959 9,952 5.08×
      veccmp
      		 20,086 76,345 3.80×
      vecfp
      		 1,523 7,496 4.92×
      vecmath
      		 3,218 18,559 5.77×
      vecshuf
      		 661.75 2,877 4.35×
      vecwide
      		 31,517 146,630 4.65×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 8 32 4.00×
      bsearch
      		 248.85 1,328 5.34×
      bubblesort
      		 1 3.2 3.20×
      fibsearch
      		 287.62 1,421 4.94×
      heapsort
      		 9.4 43.2 4.60×
      hsearch
      		 7,305 32,520 4.45×
      insertionsort
      		 10.4 25 2.40×
      malloc
      		 1,999,244 15,055,743 7.53×
      mcontend
      		 155.89 1,662 10.66×
      mergesort
      		 26.6 149.2 5.61×
      qsort
      		 20.4 87.6 4.29×
      skiplist
      		 5,436 32,253 5.93×
      tree
      		 1 4.8 4.80×
      MemorySingleMultiScaling
      cache
      		 299,500 366,224 1.22×
      cachehammer
      		 366,355 2,588,422 7.07×
      cacheline
      		 59.23 481.04 8.12×
      l1cache
      		 897.52 1,540 1.72×
      memcpy
      		 405.41 1,602 3.95×
      memrate
      		 1.58 6.25 3.96×
      memthrash
      		 172.83 342.68 1.98×
      ptr-chase
      		 10,957,984 78,600,968 7.17×
      spinmem
      		 346.19 451.16 1.30×
      stream
      		 37.54 817.33 21.77×
      vm
      		 82,376 291,906 3.54×

      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.r7.large 216 GiB0
      ecs.r7.xlarge 432 GiB0
      ecs.r7.3xlarge 1296 GiB0
      ecs.r7.4xlarge 16128 GiB0
      ecs.r7.6xlarge 24192 GiB0
      ecs.r7.8xlarge 32256 GiB0
      ecs.r7.16xlarge 64512 GiB0

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      ecs.r7.2xlarge FAQs