ecs.g5ne.4xlarge by Alibaba Cloud

ecs.g5ne.4xlarge is a ecs.g5ne family (16 vCPUs, 64 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 16 vCPUs, 64 GiB of memory and 0 GB of storage. The pricing starts at 0.09 USD per hour.
16 vCPU
64 GiB Memory
Spare SCore
11,738
(All-cores)
1,107
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.g5ne.4xlarge
Description
ecs.g5ne family (16 vCPUs, 64 GiB RAM, 0 GB storage)
Family
ecs.g5ne
Hw Virt
Status
active
Observed At
2026-10-27T21:10:41.030975

Availability

REGION / IDSPOTONDEMAND
Virginia (US) / us-east-1
0.09 USD/h 0.9 USD/h
Manila (PH) / ap-southeast-6
0.1984 USD/h 1.044 USD/h
London (GB) / eu-west-1
0.22 USD/h 1.1 USD/h
Jakarta (ID) / ap-southeast-5
0.203 USD/h 1.16 USD/h
Ulanqab (CN) / cn-wulanchabu
0.2291 USD/h 1.206 USD/h
Hohhot (CN) / cn-huhehaote
0.2778 USD/h 1.208 USD/h
Tokyo (JP) / ap-northeast-1
0.1952 USD/h 1.22 USD/h
Qingdao (CN) / cn-qingdao
0.2345 USD/h 1.34 USD/h
Shenzhen (CN) / cn-shenzhen
0.2278 USD/h 1.34 USD/h
Chengdu (CN) / cn-chengdu
0.2546 USD/h 1.34 USD/h
Guangzhou (CN) / cn-guangzhou
0.2546 USD/h 1.34 USD/h
Heyuan (CN) / cn-heyuan
0.2546 USD/h 1.34 USD/h
Beijing (CN) / cn-beijing
0.3082 USD/h 1.34 USD/h
Hangzhou (CN) / cn-hangzhou
- 1.34 USD/h
Shanghai (CN) / cn-shanghai
- 1.34 USD/h

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
8
CPU Speed
2.5 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8163
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
1 MiB
CPU L2 Cache Total
8 MiB
CPU L3 Cache
33 MiB
CPU L3 Cache Total
33 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, mpx, avx512f, avx512dq, rdseed, adx, smap, avx512cd, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, arat
Ecpus
10.6
Scalability
66.25

System Resources and Accelerators

MEMORY
Memory Amount
64 GiB
Memory Amount Actual
64 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
      7 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A balanced general-purpose virtual instance with 16 vCPUs and 64 GB RAM for multi-threaded applications, microservices, and web infrastructure.

      General Purpose

      Alibaba Cloud ecs.g5ne.4xlarge is a general-purpose instance featuring 16 vCPUs (8 physical cores) powered by an x86_64 Intel Xeon 8163 processor running at 2.5 GHz, paired with 64.0 GB of system memory. Operating on the KVM hypervisor, it features AVX-512 instructions, a 33 MB L3 cache, and a 7 Gbps baseline network capacity, without attached local storage or GPU hardware. Performance metrics show weak single-core benchmarks, such as a Geekbench single-core score of 949.0, but average multi-core and application throughput, including a PassMark CPU score of 12950.69 and 11.72 million Redis SET operations per second. The balanced 1:4 vCPU-to-RAM configuration offers effective resource density for parallel tasks, making it suitable for web serving, microservices, cache layers, and distributed software builds.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.58Score
      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) 957,342 ops/sec 1,918,343 ops/sec 0.51 50.00% 50.00% -29.00%
      Redis RPS (pipeline=16, SET) 6,893,436 ops/sec 11,704,734 ops/sec 0.57 20.00% 20.00% -11.00%
      PassMark Memory Mark (composite) 1,757 2,416 0.75 10.00% 10.00% -2.80%
      Memory bandwidth (read, 16 MB ~ L3) 75,271 MB/sec 108,420 MB/sec 0.68 10.00% 10.00% -3.80%
      PassMark single-thread CPU 1,689 Mops/s 2,365 Mops/s 0.71 10.00% 10.00% -3.40%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 949

      Geekbench Multi-Core

      Score: 5,846

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 12,951
      Compression
      		 181,791
      Encryption
      		 5,434
      Extended Instructions
      		 11,904
      Floating Point Maths
      		 21,061
      Integer Maths
      		 39,256
      Physics
      		 1,254
      Prime Numbers
      		 67
      Single Threaded
      		 1,689
      String Sorting
      		 23,894

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,757
      Database Operations
      		 4,307
      Memory Latency
      		 80
      Memory Read Cached
      		 19,482
      Memory Read Uncached
      		 6,435
      Memory Write
      		 6,875

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 179.6 171.67 0.96×
      bitops
      		 97,644 881,499 9.03×
      branch
      		 122,238 1,473,468 12.05×
      funccall
      		 450.52 3,793 8.42×
      funcret
      		 9,119 106,136 11.64×
      hash
      		 103,794 1,225,169 11.80×
      intmath
      		 17,890 216,896 12.12×
      nop
      		 151,777 1,045,227 6.89×
      prime
      		 263,337 2,379,561 9.04×
      rotate
      		 76,622 769,653 10.04×
      str
      		 627,289 6,464,294 10.31×
      wcs
      		 416,517 3,599,474 8.64×
      CryptographySingleMultiScaling
      crypt
      		 1,939 15,071 7.77×
      CompressionSingleMultiScaling
      jpeg
      		 472.86 4,721 9.98×
      zlib
      		 44.88 547.05 12.19×
      HypervisorSingleMultiScaling
      clock
      		 8,521 94,639 11.11×
      clone
      		 370.27 2,715 7.33×
      context
      		 529.59 6,343 11.98×
      cpu-sched
      		 59.87 1,030 17.21×
      eventfd
      		 26,732 436,170 16.32×
      fault
      		 8,507 90,568 10.65×
      fork
      		 2,525 24,731 9.80×
      getrandom
      		 32,376 327,200 10.11×
      hrtimers
      		 144,049 1,086,575 7.54×
      mprotect
      		 631,465 1,002,554 1.59×
      mtx
      		 13,608,407 317,347,856 23.32×
      munmap
      		 1,788 19,848 11.10×
      null
      		 52,827 595,730 11.28×
      pipe
      		 403,788 2,210,421 5.47×
      priv-instr
      		 155,375 1,752,266 11.28×
      resched
      		 1,577,994 693,603 0.44×
      switch
      		 118,102 1,196,418 10.13×
      timermix
      		 110,791 1,310,759 11.83×
      tlb-shootdown
      		 9,459 26,144 2.76×
      tsc
      		 789,671 8,828,020 11.18×
      usersyscall
      		 96,539 1,135,489 11.76×
      vdso
      		 64,300,074 902,411,588 14.03×
      vfork
      		 18,316 141,572 7.73×
      x86syscall
      		 549,734 6,488,188 11.80×
      yield
      		 3,660,738 3,676,543 1.00×
      zero
      		 486,880 5,745,392 11.80×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 12,954 134,823 10.41×
      expmath
      		 2,136 26,061 12.20×
      fma
      		 478,963 6,608,541 13.80×
      fp
      		 132 1,576 11.94×
      fractal
      		 4.2 48.61 11.57×
      hyperbolic
      		 2,215 27,707 12.51×
      logmath
      		 3,605 43,551 12.08×
      matrix
      		 2,470 30,602 12.39×
      matrix-3d
      		 518.57 2,764 5.33×
      monte-carlo
      		 31.89 381.66 11.97×
      mpfr
      		 980.69 8,549 8.72×
      powmath
      		 1,262 15,397 12.20×
      trig
      		 1,365 14,860 10.89×
      veccmp
      		 12,340 96,178 7.79×
      vecfp
      		 1,761 17,460 9.92×
      vecmath
      		 1,675 21,106 12.60×
      vecshuf
      		 745.26 6,375 8.55×
      vecwide
      		 45,037 421,645 9.36×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 5.6 53 9.46×
      bsearch
      		 194.78 1,800 9.24×
      bubblesort
      		 0.6 3.2 5.33×
      fibsearch
      		 223.02 2,209 9.91×
      heapsort
      		 6.8 64.2 9.44×
      hsearch
      		 4,058 39,239 9.67×
      insertionsort
      		 6.4 51.2 8.00×
      malloc
      		 1,593,572 20,286,832 12.73×
      mcontend
      		 115.44 3,619 31.35×
      mergesort
      		 21.2 220.39 10.40×
      qsort
      		 15 146.8 9.79×
      skiplist
      		 4,138 47,013 11.36×
      tree
      		 1.2 7.79 6.49×
      MemorySingleMultiScaling
      cache
      		 247,334 423,105 1.71×
      cachehammer
      		 362,315 4,854,368 13.40×
      cacheline
      		 34.75 537.74 15.47×
      l1cache
      		 179.61 1,538 8.56×
      memcpy
      		 302.68 2,431 8.03×
      memrate
      		 0.94 8.71 9.27×
      memthrash
      		 130.47 463.52 3.55×
      ptr-chase
      		 25,224,264 121,466,956 4.82×
      spinmem
      		 199.79 626.72 3.14×
      stream
      		 34.21 4,496 131.43×
      vm
      		 15,428 291,870 18.92×

      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

      Alternatives

      Servers of the Same Family

      INSTANCEvCPUsMEMORYAccelerators
      ecs.g5ne.large 28 GiB0
      ecs.g5ne.xlarge 416 GiB0
      ecs.g5ne.2xlarge 832 GiB0
      ecs.g5ne.8xlarge 32128 GiB0
      ecs.g5ne.16xlarge 64256 GiB0
      ecs.g5ne.18xlarge 72288 GiB0

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      ecs.g5ne.4xlarge FAQs