ecs.r7.4xlarge by Alibaba Cloud

ecs.r7.4xlarge is a ecs.r7 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 0.1638 USD per hour.
16 vCPU
128 GiB Memory
Spare SCore
15,504
(All-cores)
1,864
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.r7.4xlarge
Description
ecs.r7 family (16 vCPUs, 128 GiB RAM, 0 GB storage)
Family
ecs.r7
Hw Virt
Status
active
Observed At
2026-11-02T15:17:44.438627

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
0.18465 USD/h 0.7694 USD/h
Ulanqab (CN) / cn-wulanchabu
0.2017 USD/h 0.7759 USD/h
Hangzhou (CN) / cn-hangzhou
0.1638 USD/h 0.8621 USD/h
Shenzhen (CN) / cn-shenzhen
0.1638 USD/h 0.8621 USD/h
Guangzhou (CN) / cn-guangzhou
0.1897 USD/h 0.8621 USD/h
Shanghai (CN) / cn-shanghai
0.2241 USD/h 0.8621 USD/h
Virginia (US) / us-east-1
0.1995 USD/h 0.907 USD/h
Tokyo (JP) / ap-northeast-1
0.2079 USD/h 1.094 USD/h
Frankfurt (DE) / eu-central-1
- 1.094 USD/h
Hong Kong (HK) / cn-hongkong
- 1.2024 USD/h

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
8
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
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, 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
8.3
Scalability
51.88

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
      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 with dedicated Intel Xeon processors and high RAM density for demanding database and caching workloads.

      Memory OptimizedGeneral Purpose

      Alibaba Cloud ecs.r7.4xlarge is a memory-optimized instance featuring 16 dedicated vCPUs and 128.0 GB of RAM, powered by an Intel Xeon 8369B processor running at 2.7 GHz. Built on the x86_64 architecture with the KVM hypervisor, it provides 8.0 GB of memory per core but lacks local storage and GPU acceleration. The instance delivers solid mid-range benchmark results, including a Passmark CPU score of 20751.25 and a Redis SET throughput of 15.46 million operations per second. However, it exhibits weaker performance in demanding tasks, such as prompt processing for 7B LLM models. With a baseline network bandwidth of 10 Gbps, this instance is qualitatively cost-effective for memory-intensive workloads. It is best suited for in-memory databases, caching layers, and enterprise applications requiring high memory density without local storage needs.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      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) 2,028,916 ops/sec 1,918,343 ops/sec 1.1 50.00% 50.00% +4.90%
      Redis RPS (pipeline=16, SET) 10,514,885 ops/sec 11,704,734 ops/sec 0.92 20.00% 20.00% -1.70%
      PassMark Memory Mark (composite) 2,384 2,415 1 10.00% 10.00% 0.00%
      Memory bandwidth (read, 16 MB ~ L3) 105,643 MB/sec 108,466 MB/sec 1 10.00% 10.00% 0.00%
      PassMark single-thread CPU 2,395 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,575

      Geekbench Multi-Core

      Score: 9,464

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      20,751
      Compression
      244,644
      Encryption
      14,229
      Extended Instructions
      14,046
      Floating Point Maths
      34,320
      Integer Maths
      67,029
      Physics
      2,037
      Prime Numbers
      111
      Single Threaded
      2,395
      String Sorting
      34,307

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      2,384
      Database Operations
      7,566
      Memory Latency
      60
      Memory Read Cached
      24,030
      Memory Read Uncached
      9,701
      Memory Write
      9,177

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      273.13 311.71 1.14×
      bitops
      129,684 1,064,068 8.21×
      branch
      137,017 1,741,167 12.71×
      funccall
      634.5 5,189 8.18×
      funcret
      11,705 138,202 11.81×
      hash
      151,567 1,753,650 11.57×
      intmath
      61,174 599,875 9.81×
      nop
      189,329 1,324,974 7.00×
      prime
      393,809 3,414,301 8.67×
      rotate
      97,629 836,735 8.57×
      str
      929,259 7,597,802 8.18×
      wcs
      627,556 4,324,586 6.89×
      CryptographySingleMultiScaling
      crypt
      2,831 21,053 7.44×
      CompressionSingleMultiScaling
      jpeg
      722.04 7,487 10.37×
      zlib
      59.29 703.96 11.87×
      HypervisorSingleMultiScaling
      clock
      25,633 244,492 9.54×
      clone
      578.06 3,617 6.26×
      context
      4,829 58,012 12.01×
      cpu-sched
      73.17 1,032 14.10×
      eventfd
      113,522 1,368,159 12.05×
      fault
      18,301 164,610 8.99×
      fork
      5,932 53,642 9.04×
      getrandom
      50,957 472,192 9.27×
      hrtimers
      535,827 2,200,100 4.11×
      mprotect
      1,187,606 4,233,211 3.56×
      mtx
      11,203,857 549,142,483 49.01×
      munmap
      4,195 40,145 9.57×
      null
      797,847 7,861,468 9.85×
      pipe
      1,045,566 8,802,699 8.42×
      priv-instr
      821,315 8,211,338 10.00×
      resched
      7,679,759 2,378,106 0.31×
      switch
      255,268 2,817,319 11.04×
      timermix
      345,348 4,803,427 13.91×
      tlb-shootdown
      14,111 38,441 2.72×
      tsc
      766,974 9,085,991 11.85×
      usersyscall
      641,682 6,374,284 9.93×
      vdso
      111,564,218 1,015,654,913 9.10×
      vfork
      46,532 229,997 4.94×
      x86syscall
      9,068,545 99,128,026 10.93×
      yield
      13,080,708 14,986,165 1.15×
      zero
      4,625,406 44,149,393 9.54×
      CPU float/SIMDSingleMultiScaling
      eigen
      14,770 152,624 10.33×
      expmath
      2,875 33,880 11.78×
      fma
      659,091 9,189,343 13.94×
      fp
      190.77 1,635 8.57×
      fractal
      5 59 11.80×
      hyperbolic
      3,066 36,429 11.88×
      logmath
      4,841 56,245 11.62×
      matrix
      3,499 42,975 12.28×
      matrix-3d
      769.44 3,671 4.77×
      monte-carlo
      258.67 2,755 10.65×
      mpfr
      1,405 12,074 8.59×
      powmath
      1,682 20,146 11.97×
      trig
      1,959 20,015 10.22×
      veccmp
      20,113 157,178 7.81×
      vecfp
      1,525 14,914 9.78×
      vecmath
      3,223 37,448 11.62×
      vecshuf
      663.72 5,792 8.73×
      vecwide
      31,834 296,431 9.31×
      AlgorithmsSingleMultiScaling
      bitonicsort
      8 64 8.00×
      bsearch
      248.93 2,710 10.89×
      bubblesort
      1 6.4 6.40×
      fibsearch
      287.43 2,894 10.07×
      heapsort
      9.4 86.6 9.21×
      hsearch
      7,344 65,325 8.89×
      insertionsort
      10.4 50.8 4.88×
      malloc
      2,646,329 25,509,958 9.64×
      mcontend
      138.45 3,427 24.75×
      mergesort
      26.8 300.99 11.23×
      qsort
      20.6 173.6 8.43×
      skiplist
      5,433 64,583 11.89×
      tree
      1.6 12.79 7.99×
      MemorySingleMultiScaling
      cache
      443,169 830,917 1.87×
      cachehammer
      378,605 5,302,612 14.01×
      cacheline
      58.56 1,052 17.97×
      l1cache
      915.05 3,066 3.35×
      memcpy
      404.53 3,202 7.91×
      memrate
      1.78 10.68 6.00×
      memthrash
      225.26 646.09 2.87×
      ptr-chase
      36,159,504 174,661,438 4.83×
      spinmem
      358.39 992.94 2.77×
      stream
      42.73 4,263 99.77×
      vm
      117,834 294,057 2.50×

      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.r7.2xlarge 864 GiB0
      ecs.r7.3xlarge 1296 GiB0
      ecs.r7.6xlarge 24192 GiB0
      ecs.r7.8xlarge 32256 GiB0
      ecs.r7.16xlarge 64512 GiB0

      Similar Servers

      INSTANCEVENDORvCPUsMEMORYAccelerators

      ecs.r7.4xlarge FAQs