ecs.r7a.2xlarge by Alibaba Cloud

ecs.r7a.2xlarge is a ecs.r7a 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 0.0631 USD per hour.
8 vCPU
64 GiB Memory
Spare SCore
10,796
(All-cores)
2,699
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.r7a.2xlarge
Description
ecs.r7a family (8 vCPUs, 64 GiB RAM, 0 GB storage)
Family
ecs.r7a
Hw Virt
Status
active
Observed At
2026-10-29T09:57:34.528230

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
0.0631 USD/h 0.332 USD/h
Beijing (CN) / cn-beijing
0.0701 USD/h 0.369 USD/h
Shanghai (CN) / cn-shanghai
0.0701 USD/h 0.369 USD/h
Chengdu (CN) / cn-chengdu
0.0812 USD/h 0.369 USD/h
Guangzhou (CN) / cn-guangzhou
0.0812 USD/h 0.369 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.369 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.369 USD/h
Virginia (US) / us-east-1
0.0896 USD/h 0.4071 USD/h
Frankfurt (DE) / eu-central-1
0.0891 USD/h 0.4692 USD/h
Jakarta (ID) / ap-southeast-5
0.1091 USD/h 0.496 USD/h
Tokyo (JP) / ap-northeast-1
0.12405 USD/h 0.5168 USD/h
Singapore (SG) / ap-southeast-1
0.1137 USD/h 0.5168 USD/h
Hong Kong (HK) / cn-hongkong
0.1344 USD/h 0.5168 USD/h

Processor

vCPUs
8
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
4
CPU Speed
2.55 GHz
CPU Architecture
x86_64
CPU Manufacturer
AMD
CPU Family
EPYC
CPU Model
7T83
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
512 KiB
CPU L2 Cache Total
2 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, 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, cr8_legacy, abm, sse4a, misalignsse, 3dnowprefetch, osvw, topoext, ssbd, ibrs, ibpb, stibp, vmmcall, tsc_adjust, bmi1, avx2, smep, bmi2, erms, invpcid, rdseed, adx, smap, clflushopt, clwb, sha_ni, xsaveopt, xsavec, xgetbv1, xsaves, clzero, xsaveerptr, wbnoinvd, arat, vaes, vpclmulqdq, rdpid, fsrm
Ecpus
4
Scalability
50

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 dedicated AMD EPYC processors and high memory density for memory-bound applications without local storage.

      Memory OptimizedGeneral Purpose

      Alibaba Cloud ecs.r7a.2xlarge is an x86_64 memory-optimized instance featuring 8 dedicated vCPUs and 64.0 GB of RAM, powered by an AMD EPYC 7T83 processor at 2.55 GHz. Operating on the KVM hypervisor, this instance provides a high memory-to-vCPU ratio of 8.0 GB per core, though it lacks bundled local storage and GPU accelerators. Performance benchmarks indicate strong single-core CPU capabilities, while multi-core processing, web serving, and cached memory reads remain average. A notable tradeoff is its weak uncached large-block memory bandwidth and database operation performance. Qualitatively cost-efficient for memory-dense configurations, the instance is best suited for memory-bound workloads such as Redis deployments, caching layers, and general-purpose web serving that rely on external storage.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.41Score
      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) 598,997 ops/sec 1,919,289 ops/sec 0.32 50.00% 50.00% -43.00%
      Redis RPS (pipeline=16, SET) 4,509,940 ops/sec 11,728,058 ops/sec 0.38 20.00% 20.00% -18.00%
      PassMark Memory Mark (composite) 1,420 2,416 0.58 10.00% 10.00% -5.30%
      Memory bandwidth (read, 16 MB ~ L3) 48,026 MB/sec 108,466 MB/sec 0.44 10.00% 10.00% -7.90%
      PassMark single-thread CPU 2,379 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,529

      Geekbench Multi-Core

      Score: 5,858

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 11,518
      Compression
      		 128,696
      Encryption
      		 8,591
      Extended Instructions
      		 7,355
      Floating Point Maths
      		 18,292
      Integer Maths
      		 33,196
      Physics
      		 866
      Prime Numbers
      		 66
      Single Threaded
      		 2,379
      String Sorting
      		 17,051

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,420
      Database Operations
      		 2,296
      Memory Latency
      		 119
      Memory Read Cached
      		 23,752
      Memory Read Uncached
      		 8,027
      Memory Write
      		 7,294

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 238.63 233.13 0.98×
      bitops
      		 141,199 652,946 4.62×
      branch
      		 164,460 1,205,110 7.33×
      funccall
      		 540.04 2,811 5.20×
      funcret
      		 16,425 88,906 5.41×
      hash
      		 136,777 834,996 6.10×
      intmath
      		 58,456 315,679 5.40×
      nop
      		 282,390 1,141,087 4.04×
      prime
      		 392,475 1,938,484 4.94×
      rotate
      		 77,187 309,142 4.01×
      str
      		 838,859 4,211,833 5.02×
      wcs
      		 563,683 2,635,661 4.68×
      CryptographySingleMultiScaling
      crypt
      		 3,213 12,976 4.04×
      CompressionSingleMultiScaling
      jpeg
      		 724.53 4,030 5.56×
      zlib
      		 50.3 331.41 6.59×
      HypervisorSingleMultiScaling
      clock
      		 23,514 130,414 5.55×
      clone
      		 383 1,299 3.39×
      context
      		 3,159 21,115 6.68×
      cpu-sched
      		 67.79 520.83 7.68×
      eventfd
      		 66,230 406,474 6.14×
      fault
      		 7,835 52,439 6.69×
      fork
      		 4,209 24,781 5.89×
      getrandom
      		 45,346 229,620 5.06×
      hrtimers
      		 123,845 801,803 6.47×
      mprotect
      		 968,668 1,341,956 1.39×
      mtx
      		 29,246,025 463,077,607 15.83×
      munmap
      		 2,742 16,013 5.84×
      null
      		 407,347 2,600,626 6.38×
      pipe
      		 1,515,424 2,590,334 1.71×
      priv-instr
      		 413,492 2,650,164 6.41×
      resched
      		 1,967,627 688,983 0.35×
      switch
      		 126,810 802,009 6.32×
      timermix
      		 257,627 1,499,687 5.82×
      tlb-shootdown
      		 18,576 33,826 1.82×
      tsc
      		 669,408 5,145,215 7.69×
      usersyscall
      		 296,067 1,892,886 6.39×
      vdso
      		 76,843,890 524,038,119 6.82×
      vfork
      		 29,817 123,649 4.15×
      x86syscall
      		 4,796,011 30,783,836 6.42×
      yield
      		 4,101,276 4,110,931 1.00×
      zero
      		 2,784,943 16,673,617 5.99×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 13,744 57,865 4.21×
      expmath
      		 2,429 15,624 6.43×
      fma
      		 780,713 4,934,516 6.32×
      fp
      		 227.92 1,313 5.76×
      fractal
      		 6.8 44.8 6.59×
      hyperbolic
      		 3,293 20,037 6.08×
      logmath
      		 3,881 22,252 5.73×
      matrix
      		 2,704 16,294 6.03×
      matrix-3d
      		 797.16 1,366 1.71×
      monte-carlo
      		 182.59 1,119 6.13×
      mpfr
      		 1,404 6,808 4.85×
      powmath
      		 1,193 7,844 6.58×
      trig
      		 1,495 9,227 6.17×
      veccmp
      		 15,994 84,287 5.27×
      vecfp
      		 1,479 8,138 5.50×
      vecmath
      		 3,416 22,076 6.46×
      vecshuf
      		 532.78 2,487 4.67×
      vecwide
      		 23,622 120,479 5.10×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 8.6 36.8 4.28×
      bsearch
      		 262.99 1,393 5.30×
      bubblesort
      		 0.8 4.8 6.00×
      fibsearch
      		 320.57 1,516 4.73×
      heapsort
      		 9 46 5.11×
      hsearch
      		 7,830 35,490 4.53×
      insertionsort
      		 11.6 46.4 4.00×
      malloc
      		 3,090,356 22,963,720 7.43×
      mcontend
      		 291.12 1,557 5.35×
      mergesort
      		 27.4 162.99 5.95×
      qsort
      		 18.6 103.2 5.55×
      skiplist
      		 6,209 37,691 6.07×
      tree
      		 1.8 8 4.44×
      MemorySingleMultiScaling
      cache
      		 643,940 1,163,463 1.81×
      cachehammer
      		 299,627 2,159,878 7.21×
      cacheline
      		 40.98 343.25 8.38×
      l1cache
      		 148.6 634.38 4.27×
      memcpy
      		 366.13 1,397 3.82×
      memrate
      		 2.35 3.49 1.49×
      memthrash
      		 123.21 294.3 2.39×
      ptr-chase
      		 39,706,136 79,543,228 2.00×
      spinmem
      		 364.19 622.74 1.71×
      stream
      		 95.34 953.57 10.00×
      vm
      		 59,841 291,570 4.87×

      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

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      ecs.r7a.8xlarge 32256 GiB0
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      ecs.r7a.16xlarge 64512 GiB0

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      ecs.r7a.2xlarge FAQs