ecs.e4.4xlarge by Alibaba Cloud

ecs.e4.4xlarge is a ecs.e4 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.
16 vCPU
128 GiB Memory
Spare SCore
12,853
(All-cores)
953
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.e4.4xlarge
Description
ecs.e4 family (16 vCPUs, 128 GiB RAM, 0 GB storage)
Family
ecs.e4
Hw Virt
Status
active
Observed At
2026-10-30T04:32:22.390298

Availability

REGION / IDSPOTONDEMAND

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Shared
CPU Cores
8
CPU Speed
2.5 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
E5-2682 v4
CPU L1D Cache
32 KiB
CPU L1D Cache Total
256 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
256 KiB
CPU L2 Cache
256 KiB
CPU L2 Cache Total
2 MiB
CPU L3 Cache
40 MiB
CPU L3 Cache Total
40 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, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, tsc_deadline_timer, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, abm, 3dnowprefetch, pti, ibrs, ibpb, stibp, fsgsbase, tsc_adjust, bmi1, hle, avx2, smep, bmi2, erms, invpcid, rtm, rdseed, adx, smap, xsaveopt, arat
Ecpus
13.5
Scalability
84.38

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
      2.5 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A memory-dense, shared-CPU instance offering balanced multi-core performance and high RAM capacity for database and multi-threaded workloads.

      Memory OptimizedGeneral Purpose

      Alibaba Cloud ecs.e4.4xlarge is an x86_64 server instance utilizing an Intel Xeon E5-2682 v4 processor at 2.5 GHz. It provides 16 vCPUs across 8 physical cores with a shared CPU allocation, paired with 128.0 GB of RAM and a 2 Gbps baseline network bandwidth. The instance does not include local storage or GPU accelerators. Benchmarks show a significant performance disparity: single-core CPU performance and single-threaded compression tasks rank in the bottom 10% to 25%, whereas multi-core CPU performance, memory bandwidth, and database operations achieve average ratings in the middle 50%. Qualitatively, the server offers high memory density relative to its processing power. It is best suited for memory-intensive, multi-threaded workloads such as database operations, static web serving, and small-scale model inference, rather than compute-heavy or single-threaded applications.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.76Score
      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) 1,556,980 ops/sec 1,919,289 ops/sec 0.84 50.00% 50.00% -8.30%
      Redis RPS (pipeline=16, SET) 9,196,446 ops/sec 11,728,058 ops/sec 0.77 20.00% 20.00% -5.10%
      PassMark Memory Mark (composite) 1,872 2,416 0.79 10.00% 10.00% -2.30%
      Memory bandwidth (read, 16 MB ~ L3) 47,946 MB/sec 108,466 MB/sec 0.44 10.00% 10.00% -7.90%
      PassMark single-thread CPU 1,814 Mops/s 2,365 Mops/s 0.75 10.00% 10.00% -2.80%

      Memory Bandwidth

      Compression

      OpenSSL

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      15,791
      Compression
      262,324
      Encryption
      4,909
      Extended Instructions
      15,457
      Floating Point Maths
      34,550
      Integer Maths
      47,210
      Physics
      1,919
      Prime Numbers
      90
      Single Threaded
      1,814
      String Sorting
      29,763

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      1,872
      Database Operations
      3,601
      Memory Latency
      69
      Memory Read Cached
      20,608
      Memory Read Uncached
      6,787
      Memory Write
      6,107

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      187.82 202.92 1.08×
      bitops
      101,574 1,244,785 12.25×
      branch
      132,386 1,839,120 13.89×
      funccall
      451.36 5,449 12.07×
      funcret
      8,720 121,938 13.98×
      hash
      109,087 1,580,047 14.48×
      intmath
      18,024 254,074 14.10×
      nop
      154,191 1,756,095 11.39×
      prime
      245,958 3,213,316 13.06×
      rotate
      81,427 1,155,435 14.19×
      str
      576,563 8,314,530 14.42×
      wcs
      390,164 4,308,325 11.04×
      CryptographySingleMultiScaling
      crypt
      1,987 19,132 9.63×
      CompressionSingleMultiScaling
      jpeg
      438.27 5,955 13.59×
      zlib
      23.88 649.46 27.20×
      HypervisorSingleMultiScaling
      clock
      24,134 239,324 9.92×
      clone
      436.46 3,139 7.19×
      context
      2,480 34,898 14.07×
      cpu-sched
      65.53 1,067 16.29×
      eventfd
      30,560 318,256 10.41×
      fault
      8,279 102,188 12.34×
      fork
      3,366 33,932 10.08×
      getrandom
      38,414 483,824 12.59×
      hrtimers
      1,026,862 1,907,839 1.86×
      mprotect
      1,008,957 3,362,026 3.33×
      mtx
      8,870,992 557,509,869 62.85×
      munmap
      2,314 26,180 11.32×
      null
      285,573 4,184,335 14.65×
      pipe
      866,735 5,311,443 6.13×
      priv-instr
      502,430 6,508,181 12.95×
      resched
      4,466,709 1,675,368 0.38×
      switch
      45,128 2,172,321 48.14×
      timermix
      204,800 2,765,340 13.50×
      tlb-shootdown
      9,529 37,948 3.98×
      tsc
      866,756 13,413,496 15.48×
      usersyscall
      358,226 5,084,369 14.19×
      vdso
      39,051,887 616,466,745 15.79×
      vfork
      17,669 143,294 8.11×
      x86syscall
      3,272,722 47,209,347 14.43×
      yield
      10,819,956 11,643,273 1.08×
      zero
      1,754,462 23,644,001 13.48×
      CPU float/SIMDSingleMultiScaling
      eigen
      12,613 152,958 12.13×
      expmath
      2,170 28,704 13.23×
      fma
      476,666 6,609,506 13.87×
      fp
      102.44 1,396 13.63×
      fractal
      4.4 57.2 13.00×
      hyperbolic
      2,475 34,554 13.96×
      logmath
      3,919 53,688 13.70×
      matrix
      3,034 37,765 12.45×
      matrix-3d
      633.11 3,121 4.93×
      monte-carlo
      138.73 1,858 13.39×
      mpfr
      982.92 12,640 12.86×
      powmath
      1,335 17,413 13.04×
      trig
      1,563 20,667 13.22×
      veccmp
      11,960 154,969 12.96×
      vecfp
      722.34 8,790 12.17×
      vecmath
      1,880 26,110 13.89×
      vecshuf
      471.74 5,759 12.21×
      vecwide
      19,499 236,640 12.14×
      AlgorithmsSingleMultiScaling
      bitonicsort
      5.8 76.2 13.14×
      bsearch
      196.44 2,502 12.74×
      bubblesort
      0.6 7.2 12.00×
      fibsearch
      227.38 2,878 12.66×
      heapsort
      7 98.6 14.09×
      hsearch
      3,741 42,750 11.43×
      insertionsort
      6.8 87.2 12.82×
      malloc
      1,711,987 29,077,223 16.98×
      mcontend
      123.87 3,617 29.20×
      mergesort
      22 280.79 12.76×
      qsort
      15.6 207.6 13.31×
      skiplist
      5,010 69,729 13.92×
      tree
      1 9 9.00×
      MemorySingleMultiScaling
      cache
      191,033 342,909 1.80×
      cachehammer
      448,881 6,164,632 13.73×
      cacheline
      30.51 474.78 15.56×
      l1cache
      164.28 1,961 11.94×
      memcpy
      362.52 4,057 11.19×
      memrate
      0.98 7.9 8.06×
      memthrash
      129.11 483.76 3.75×
      ptr-chase
      21,824,429 153,094,531 7.01×
      spinmem
      191.39 667.13 3.49×
      stream
      31.47 2,466 78.36×
      vm
      52,110 293,560 5.63×

      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.e4.small 18 GiB0
      ecs.e4.large 216 GiB0
      ecs.e4.xlarge 432 GiB0
      ecs.e4.2xlarge 864 GiB0

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      ecs.e4.4xlarge FAQs