ecs.r7a.8xlarge by Alibaba Cloud

ecs.r7a.8xlarge is a ecs.r7a family (32 vCPUs, 256 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 32 vCPUs, 256 GiB of memory and 0 GB of storage. The pricing starts at 0.2806 USD per hour.
32 vCPU
256 GiB Memory
Spare SCore
43,215
(All-cores)
2,684
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.r7a.8xlarge
Description
ecs.r7a family (32 vCPUs, 256 GiB RAM, 0 GB storage)
Family
ecs.r7a
Hw Virt
Status
active
Observed At
2026-10-26T23:54:08.522064

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
- 1.329 USD/h
Chengdu (CN) / cn-chengdu
0.30275 USD/h 1.477 USD/h
Guangzhou (CN) / cn-guangzhou
0.3249 USD/h 1.477 USD/h
Hangzhou (CN) / cn-hangzhou
0.3249 USD/h 1.477 USD/h
Beijing (CN) / cn-beijing
- 1.477 USD/h
Shanghai (CN) / cn-shanghai
- 1.477 USD/h
Shenzhen (CN) / cn-shenzhen
- 1.477 USD/h
Virginia (US) / us-east-1
0.3583 USD/h 1.6286 USD/h
Frankfurt (DE) / eu-central-1
0.488 USD/h 1.8768 USD/h
Jakarta (ID) / ap-southeast-5
0.3773 USD/h 1.986 USD/h
Hong Kong (HK) / cn-hongkong
0.4548 USD/h 2.0672 USD/h
Singapore (SG) / ap-southeast-1
0.5375 USD/h 2.0672 USD/h

Processor

vCPUs
32
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
16
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
512 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
512 KiB
CPU L2 Cache
512 KiB
CPU L2 Cache Total
8 MiB
CPU L3 Cache
32 MiB
CPU L3 Cache Total
64 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
16.1
Scalability
50.31

System Resources and Accelerators

MEMORY
Memory Amount
256 GiB
Memory Amount Actual
256 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
      8 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A memory-optimized x86_64 server featuring high RAM density and dedicated AMD EPYC processing for memory-bound enterprise workloads.

      Memory OptimizedGeneral Purpose

      Alibaba Cloud ecs.r7a.8xlarge is a memory-optimized instance featuring 32 dedicated vCPUs and 256.0 GB of RAM, powered by an AMD EPYC 7T83 processor at 2.55 GHz. Built on the KVM hypervisor, this x86_64 server provides 8.0 GB of memory per core but lacks local storage and GPU accelerators, relying on an 8 Gbps baseline network bandwidth. Performance benchmarks indicate strong single-core CPU capabilities and high PassMark memory scores, contrasted by weaker large-block memory read and write bandwidths. Multi-core processing, database operations, and Redis transaction speeds remain in the average tier. This hardware profile is suited for memory-intensive workloads such as in-memory databases, caching layers, and enterprise applications that prioritize high RAM capacity over local storage speed.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.1Score
      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) 2,351,703 ops/sec 1,918,343 ops/sec 1.3 50.00% 50.00% +14.00%
      Redis RPS (pipeline=16, SET) 17,667,244 ops/sec 11,704,734 ops/sec 1.5 20.00% 20.00% +8.40%
      PassMark Memory Mark (composite) 2,786 2,416 1.2 10.00% 10.00% +1.80%
      Memory bandwidth (read, 16 MB ~ L3) 40,239 MB/sec 108,420 MB/sec 0.36 10.00% 10.00% -9.70%
      PassMark single-thread CPU 2,371 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,533

      Geekbench Multi-Core

      Score: 11,041

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      35,669
      Compression
      500,911
      Encryption
      34,160
      Extended Instructions
      29,923
      Floating Point Maths
      72,862
      Integer Maths
      133,063
      Physics
      2,009
      Prime Numbers
      163
      Single Threaded
      2,371
      String Sorting
      55,145

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      2,786
      Database Operations
      10,633
      Memory Latency
      57
      Memory Read Cached
      23,747
      Memory Read Uncached
      17,203
      Memory Write
      15,265

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      202.26 164.45 0.81×
      bitops
      141,423 2,614,340 18.49×
      branch
      164,460 4,832,185 29.38×
      funccall
      540.8 11,246 20.79×
      funcret
      16,868 350,130 20.76×
      hash
      136,747 3,343,283 24.45×
      intmath
      58,433 1,264,893 21.65×
      nop
      282,316 4,571,328 16.19×
      prime
      394,161 7,776,042 19.73×
      rotate
      77,165 1,238,196 16.05×
      str
      796,883 16,403,738 20.58×
      wcs
      554,980 10,569,556 19.04×
      CryptographySingleMultiScaling
      crypt
      3,202 51,281 16.02×
      CompressionSingleMultiScaling
      jpeg
      683.45 15,058 22.03×
      zlib
      56.57 1,485 26.25×
      HypervisorSingleMultiScaling
      clock
      22,267 257,193 11.55×
      clone
      312.18 3,800 12.17×
      context
      3,152 84,080 26.68×
      cpu-sched
      62.69 2,071 33.04×
      eventfd
      67,541 1,249,211 18.50×
      fault
      8,041 171,989 21.39×
      fork
      3,503 60,792 17.35×
      getrandom
      45,362 919,161 20.26×
      hrtimers
      137,914 3,438,495 24.93×
      mprotect
      756,841 5,180,168 6.84×
      mtx
      44,912,219 1,653,145,646 36.81×
      munmap
      2,448 44,402 18.14×
      null
      411,139 10,478,155 25.49×
      pipe
      1,490,651 11,193,025 7.51×
      priv-instr
      410,855 10,177,534 24.77×
      resched
      6,836,056 2,956,720 0.43×
      switch
      163,728 3,298,101 20.14×
      timermix
      253,258 6,021,335 23.78×
      tlb-shootdown
      14,193 96,462 6.80×
      tsc
      669,247 20,591,842 30.77×
      usersyscall
      296,115 7,369,398 24.89×
      vdso
      77,328,936 2,093,078,329 27.07×
      vfork
      20,897 138,419 6.62×
      x86syscall
      4,871,459 124,705,377 25.60×
      yield
      21,296,791 18,535,470 0.87×
      zero
      2,793,120 66,822,801 23.92×
      CPU float/SIMDSingleMultiScaling
      eigen
      14,042 230,952 16.45×
      expmath
      2,551 64,773 25.39×
      fma
      780,012 19,769,561 25.35×
      fp
      228 5,301 23.25×
      fractal
      6.8 178.58 26.26×
      hyperbolic
      3,294 80,219 24.35×
      logmath
      3,863 89,076 23.06×
      matrix
      2,721 63,544 23.35×
      matrix-3d
      787.68 1,377 1.75×
      monte-carlo
      182.61 4,466 24.46×
      mpfr
      1,400 27,439 19.60×
      powmath
      1,207 31,673 26.24×
      trig
      1,490 36,971 24.82×
      veccmp
      15,984 337,597 21.12×
      vecfp
      1,479 33,234 22.47×
      vecmath
      3,415 88,476 25.91×
      vecshuf
      534.51 9,965 18.64×
      vecwide
      23,678 482,783 20.39×
      AlgorithmsSingleMultiScaling
      bitonicsort
      8.6 147.2 17.12×
      bsearch
      258.57 5,529 21.38×
      bubblesort
      0.8 - -
      fibsearch
      320.81 6,151 19.17×
      heapsort
      9.2 184.19 20.02×
      hsearch
      7,233 137,780 19.05×
      insertionsort
      11.6 185.6 16.00×
      malloc
      3,085,644 50,740,573 16.44×
      mcontend
      131.23 5,491 41.84×
      mergesort
      27.2 643.77 23.67×
      qsort
      18.6 403.99 21.72×
      skiplist
      6,219 150,250 24.16×
      tree
      1.6 19.18 11.99×
      MemorySingleMultiScaling
      cache
      641,070 1,115,204 1.74×
      cachehammer
      296,302 6,143,327 20.73×
      cacheline
      32.77 1,323 40.37×
      l1cache
      140.3 2,526 18.01×
      memcpy
      366.14 5,610 15.32×
      memrate
      2.34 5.99 2.56×
      memthrash
      148.47 348.62 2.35×
      ptr-chase
      39,569,777 204,961,399 5.18×
      spinmem
      357.33 2,331 6.52×
      stream
      95 4,608 48.50×
      vm
      60,057 295,389 4.92×

      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

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      ecs.r7a.8xlarge FAQs