ecs.r7se.4xlarge by Alibaba Cloud

ecs.r7se.4xlarge is a ecs.r7se family (16 vCPUs, 128 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 16 vCPUs, 128 GiB of memory and 0 GB of storage. The pricing starts at 1.066 USD per hour.
16 vCPU
128 GiB Memory
Spare SCore
15,553
(All-cores)
1,843
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.r7se.4xlarge
Description
ecs.r7se family (16 vCPUs, 128 GiB RAM, 0 GB storage)
Family
ecs.r7se
Hw Virt
Status
active
Observed At
2026-10-16T13:33:29.229106

Availability

REGION / IDSPOTONDEMAND
Beijing (CN) / cn-beijing
- 1.066 USD/h
Hangzhou (CN) / cn-hangzhou
- 1.066 USD/h
Shanghai (CN) / cn-shanghai
- 1.066 USD/h
Shenzhen (CN) / cn-shenzhen
- 1.066 USD/h
Singapore (SG) / ap-southeast-1
- 1.2875 USD/h
Hong Kong (HK) / cn-hongkong
- 1.4146 USD/h

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
8
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
384 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
256 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
10 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
8.4
Scalability
52.5

System Resources and Accelerators

MEMORY
Memory Amount
128 GiB
Memory Amount Actual
128 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
      6 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 128 GB RAM and dedicated Intel Xeon processors for memory-intensive caching and database workloads.

      Memory OptimizedGeneral Purpose

      Alibaba Cloud ecs.r7se.4xlarge is an x86_64 memory-optimized server configured with 16 dedicated vCPUs and 128.0 GB of RAM, powered by an Intel Xeon 8369B processor running at 2.9 GHz. It features a high memory-to-vCPU ratio of 8 GB per core but lacks local storage and GPU accelerators, relying on a 6 Gbps baseline network bandwidth. Performance benchmarks indicate average CPU capabilities, with a PassMark CPU score of 21,177.19, contrasted by a strong PassMark memory score in the top 25% tier. The server achieves 15.01 million Redis SET operations per second and 101.82 GB/sec large-block memory read bandwidth. Given its high memory density and lack of local storage, this instance is suited for in-memory databases, caching layers, and memory-bound data processing workloads.

      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) 2,192,967 ops/sec 1,919,289 ops/sec 1.2 50.00% 50.00% +9.50%
      Redis RPS (pipeline=16, SET) 11,137,663 ops/sec 11,728,058 ops/sec 0.92 20.00% 20.00% -1.70%
      PassMark Memory Mark (composite) 2,767 2,416 1.2 10.00% 10.00% +1.80%
      Memory bandwidth (read, 16 MB ~ L3) 106,714 MB/sec 108,466 MB/sec 1 10.00% 10.00% 0.00%
      PassMark single-thread CPU 2,368 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,600

      Geekbench Multi-Core

      Score: 9,636

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 21,177
      Compression
      		 247,724
      Encryption
      		 14,676
      Extended Instructions
      		 14,136
      Floating Point Maths
      		 34,495
      Integer Maths
      		 67,463
      Physics
      		 2,284
      Prime Numbers
      		 135
      Single Threaded
      		 2,368
      String Sorting
      		 35,014

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,767
      Database Operations
      		 8,035
      Memory Latency
      		 52
      Memory Read Cached
      		 24,296
      Memory Read Uncached
      		 12,883
      Memory Write
      		 11,741

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 246.8 320.95 1.30×
      bitops
      		 130,485 1,067,760 8.18×
      branch
      		 137,604 1,747,675 12.70×
      funccall
      		 636.21 5,203 8.18×
      funcret
      		 11,799 138,617 11.75×
      hash
      		 151,281 1,759,480 11.63×
      intmath
      		 61,406 609,233 9.92×
      nop
      		 189,536 1,334,619 7.04×
      prime
      		 394,022 3,420,274 8.68×
      rotate
      		 97,997 833,167 8.50×
      str
      		 868,793 7,390,769 8.51×
      wcs
      		 615,424 4,347,190 7.06×
      CryptographySingleMultiScaling
      crypt
      		 2,818 21,154 7.51×
      CompressionSingleMultiScaling
      jpeg
      		 724.12 7,512 10.37×
      zlib
      		 65.37 688.35 10.53×
      HypervisorSingleMultiScaling
      clock
      		 25,774 248,277 9.63×
      clone
      		 665.08 3,672 5.52×
      context
      		 4,845 58,350 12.04×
      cpu-sched
      		 56.81 1,022 17.98×
      eventfd
      		 114,775 738,391 6.43×
      fault
      		 18,529 170,476 9.20×
      fork
      		 5,951 54,852 9.22×
      getrandom
      		 51,130 473,857 9.27×
      hrtimers
      		 531,747 2,152,789 4.05×
      mprotect
      		 1,173,512 4,313,660 3.68×
      mtx
      		 8,086,240 533,446,901 65.97×
      munmap
      		 4,272 41,328 9.67×
      null
      		 802,381 7,831,782 9.76×
      pipe
      		 1,074,876 8,579,377 7.98×
      priv-instr
      		 828,415 8,287,507 10.00×
      resched
      		 7,767,802 2,396,554 0.31×
      switch
      		 194,200 2,963,962 15.26×
      timermix
      		 350,765 4,805,709 13.70×
      tlb-shootdown
      		 12,766 39,034 3.06×
      tsc
      		 770,151 9,121,476 11.84×
      usersyscall
      		 642,553 6,430,536 10.01×
      vdso
      		 112,575,132 1,021,128,137 9.07×
      vfork
      		 47,589 234,875 4.94×
      x86syscall
      		 9,111,289 99,743,595 10.95×
      yield
      		 13,040,179 13,527,000 1.04×
      zero
      		 4,639,374 43,815,561 9.44×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 14,844 152,817 10.29×
      expmath
      		 2,888 34,020 11.78×
      fma
      		 661,772 9,217,477 13.93×
      fp
      		 200.78 1,653 8.23×
      fractal
      		 5 59.2 11.84×
      hyperbolic
      		 3,071 36,585 11.91×
      logmath
      		 4,858 56,411 11.61×
      matrix
      		 3,522 43,463 12.34×
      matrix-3d
      		 745.81 3,704 4.97×
      monte-carlo
      		 258.8 2,801 10.82×
      mpfr
      		 1,413 12,124 8.58×
      powmath
      		 1,690 20,224 11.97×
      trig
      		 1,966 20,095 10.22×
      veccmp
      		 20,281 157,736 7.78×
      vecfp
      		 1,531 14,964 9.78×
      vecmath
      		 3,237 37,575 11.61×
      vecshuf
      		 666.68 5,812 8.72×
      vecwide
      		 31,452 297,911 9.47×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 8 64.2 8.03×
      bsearch
      		 249.8 2,722 10.90×
      bubblesort
      		 1 6.4 6.40×
      fibsearch
      		 289.32 2,899 10.02×
      heapsort
      		 9.4 86.6 9.21×
      hsearch
      		 7,359 65,665 8.92×
      insertionsort
      		 10.6 51.2 4.83×
      malloc
      		 2,724,552 24,913,425 9.14×
      mcontend
      		 129.92 3,283 25.27×
      mergesort
      		 26.8 301.59 11.25×
      qsort
      		 20.8 175.6 8.44×
      skiplist
      		 5,414 65,019 12.01×
      tree
      		 1.6 13.99 8.74×
      MemorySingleMultiScaling
      cache
      		 442,931 750,187 1.69×
      cachehammer
      		 372,216 5,348,716 14.37×
      cacheline
      		 64.33 1,069 16.61×
      l1cache
      		 918.2 3,054 3.33×
      memcpy
      		 407.95 3,213 7.88×
      memrate
      		 1.78 11.44 6.43×
      memthrash
      		 242.2 654.23 2.70×
      ptr-chase
      		 36,155,470 176,470,340 4.88×
      spinmem
      		 353.39 1,125 3.18×
      stream
      		 15.87 1,575 99.22×
      vm
      		 102,886 294,035 2.86×

      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.r7se.large 216 GiB0
      ecs.r7se.xlarge 432 GiB0
      ecs.r7se.2xlarge 864 GiB0
      ecs.r7se.3xlarge 1296 GiB0
      ecs.r7se.6xlarge 24192 GiB0
      ecs.r7se.8xlarge 32256 GiB0
      ecs.r7se.16xlarge 64512 GiB0

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      ecs.r7se.4xlarge FAQs