ecs.r7se.8xlarge by Alibaba Cloud

ecs.r7se.8xlarge is a ecs.r7se 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 2.132 USD per hour.
32 vCPU
256 GiB Memory
Spare SCore
31,103
(All-cores)
1,861
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.r7se.8xlarge
Description
ecs.r7se family (32 vCPUs, 256 GiB RAM, 0 GB storage)
Family
ecs.r7se
Hw Virt
Status
active
Observed At
2026-10-28T13:49:57.187917

Availability

REGION / IDSPOTONDEMAND
Beijing (CN) / cn-beijing
- 2.132 USD/h
Hangzhou (CN) / cn-hangzhou
- 2.132 USD/h
Shanghai (CN) / cn-shanghai
- 2.132 USD/h
Shenzhen (CN) / cn-shenzhen
- 2.132 USD/h
Hong Kong (HK) / cn-hongkong
- 2.8292 USD/h

Processor

vCPUs
32
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
16
CPU Speed
2.9 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8369B
CPU L1D Cache
48 KiB
CPU L1D Cache Total
768 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
512 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
20 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, 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
16.7
Scalability
52.19

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
      10 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 high RAM density and dedicated Intel Xeon processors for memory-intensive enterprise workloads.

      Memory OptimizedGeneral Purpose

      Alibaba Cloud ecs.r7se.8xlarge is a memory-optimized instance featuring 32 dedicated vCPUs and 256.0 GB of RAM, delivering a high memory-to-core ratio of 8.0 GB per vCPU. Powered by an Intel Xeon 8369B processor running at 2.9 GHz on the KVM hypervisor, this x86_64 server lacks local storage and dedicated GPUs, utilizing a 10 Gbps baseline network bandwidth. Performance benchmarks indicate average compute capabilities, but the instance excels in memory performance, scoring in the top 25% on the Passmark memory test and demonstrating strong text generation speeds for small language models. The absence of local storage requires network-attached storage solutions, making this instance best suited for memory-intensive workloads such as in-memory databases, caching layers, and large-scale data processing where high RAM density is critical.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.8Score
      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) 4,288,722 ops/sec 1,919,289 ops/sec 2.3 50.00% 50.00% +52.00%
      Redis RPS (pipeline=16, SET) 21,370,150 ops/sec 11,728,058 ops/sec 1.8 20.00% 20.00% +12.00%
      PassMark Memory Mark (composite) 2,805 2,416 1.2 10.00% 10.00% +1.80%
      Memory bandwidth (read, 16 MB ~ L3) 162,476 MB/sec 108,466 MB/sec 1.5 10.00% 10.00% +4.10%
      PassMark single-thread CPU 2,370 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,587

      Geekbench Multi-Core

      Score: 13,505

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      36,823
      Compression
      497,453
      Encryption
      29,197
      Extended Instructions
      28,204
      Floating Point Maths
      68,967
      Integer Maths
      134,827
      Physics
      3,415
      Prime Numbers
      190
      Single Threaded
      2,370
      String Sorting
      69,605

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      2,805
      Database Operations
      15,203
      Memory Latency
      53
      Memory Read Cached
      23,862
      Memory Read Uncached
      12,445
      Memory Write
      11,433

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      267.57 305.59 1.14×
      bitops
      130,433 2,130,850 16.34×
      branch
      136,831 3,487,624 25.49×
      funccall
      636.42 10,412 16.36×
      funcret
      11,983 273,594 22.83×
      hash
      151,176 3,511,139 23.23×
      intmath
      61,423 1,210,975 19.72×
      nop
      189,231 2,663,858 14.08×
      prime
      392,741 6,853,854 17.45×
      rotate
      98,017 1,670,576 17.04×
      str
      868,297 14,773,505 17.01×
      wcs
      606,604 8,673,407 14.30×
      CryptographySingleMultiScaling
      crypt
      2,841 42,257 14.88×
      CompressionSingleMultiScaling
      jpeg
      708.36 15,008 21.19×
      zlib
      62.98 1,437 22.81×
      HypervisorSingleMultiScaling
      clock
      24,851 364,146 14.65×
      clone
      554.33 6,702 12.09×
      context
      4,838 116,626 24.11×
      cpu-sched
      72.5 2,047 28.24×
      eventfd
      114,179 1,293,173 11.33×
      fault
      18,443 271,472 14.72×
      fork
      5,782 93,782 16.22×
      getrandom
      50,457 946,014 18.75×
      hrtimers
      160,931 3,095,415 19.23×
      mprotect
      1,184,124 8,453,235 7.14×
      mtx
      13,655,450 1,053,788,394 77.17×
      munmap
      4,056 68,645 16.92×
      null
      799,444 15,890,173 19.88×
      pipe
      1,125,500 13,977,324 12.42×
      priv-instr
      827,100 15,714,457 19.00×
      resched
      14,915,345 4,875,231 0.33×
      switch
      196,511 2,122,336 10.80×
      timermix
      358,029 9,657,698 26.97×
      tlb-shootdown
      12,759 65,035 5.10×
      tsc
      769,765 18,250,409 23.71×
      usersyscall
      644,241 12,678,337 19.68×
      vdso
      112,368,548 2,042,938,650 18.18×
      vfork
      44,914 208,232 4.64×
      x86syscall
      9,124,981 199,283,391 21.84×
      yield
      25,435,013 31,877,123 1.25×
      zero
      4,629,579 89,370,928 19.30×
      CPU float/SIMDSingleMultiScaling
      eigen
      14,814 308,463 20.82×
      expmath
      2,889 67,929 23.51×
      fma
      661,128 18,438,884 27.89×
      fp
      189.6 3,314 17.48×
      fractal
      5 118.21 23.64×
      hyperbolic
      3,074 73,032 23.76×
      logmath
      4,850 112,878 23.28×
      matrix
      3,521 84,263 23.93×
      matrix-3d
      776.85 5,284 6.80×
      monte-carlo
      258.8 5,600 21.64×
      mpfr
      1,413 24,244 17.16×
      powmath
      1,690 40,404 23.90×
      trig
      1,958 40,194 20.52×
      veccmp
      20,259 314,879 15.54×
      vecfp
      1,530 29,919 19.56×
      vecmath
      3,230 75,158 23.27×
      vecshuf
      665.87 11,618 17.45×
      vecwide
      31,514 588,490 18.67×
      AlgorithmsSingleMultiScaling
      bitonicsort
      8 128.2 16.02×
      bsearch
      249.71 5,393 21.60×
      bubblesort
      1 12.8 12.80×
      fibsearch
      289.06 5,775 19.98×
      heapsort
      9.4 173 18.40×
      hsearch
      7,376 130,180 17.65×
      insertionsort
      10.6 101.6 9.58×
      malloc
      2,699,304 35,745,838 13.24×
      mcontend
      122.05 6,807 55.77×
      mergesort
      26.8 602.37 22.48×
      qsort
      20.8 347.39 16.70×
      skiplist
      5,459 130,035 23.82×
      tree
      1.6 24.78 15.49×
      MemorySingleMultiScaling
      cache
      438,544 858,850 1.96×
      cachehammer
      385,936 9,780,043 25.34×
      cacheline
      62.17 3,666 58.97×
      l1cache
      918.2 6,076 6.62×
      memcpy
      406.64 6,435 15.82×
      memrate
      1.78 12.98 7.29×
      memthrash
      233.02 1,039 4.46×
      ptr-chase
      34,888,698 319,392,428 9.15×
      spinmem
      358.59 2,166 6.04×
      stream
      41.62 10,671 256.40×
      vm
      110,349 297,446 2.70×

      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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      INSTANCEvCPUsMEMORYAccelerators
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      ecs.r7se.3xlarge 1296 GiB0
      ecs.r7se.4xlarge 16128 GiB0
      ecs.r7se.6xlarge 24192 GiB0
      ecs.r7se.16xlarge 64512 GiB0

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      ecs.r7se.8xlarge FAQs