ecs.g5ne.2xlarge by Alibaba Cloud

ecs.g5ne.2xlarge is a ecs.g5ne family (8 vCPUs, 32 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 8 vCPUs, 32 GiB of memory and 0 GB of storage. The pricing starts at 0.1035 USD per hour.
8 vCPU
32 GiB Memory
Spare SCore
5,860
(All-cores)
1,104
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.g5ne.2xlarge
Description
ecs.g5ne family (8 vCPUs, 32 GiB RAM, 0 GB storage)
Family
ecs.g5ne
Hw Virt
Status
active
Observed At
2026-10-28T07:38:05.778582

Availability

REGION / IDSPOTONDEMAND
Virginia (US) / us-east-1
0.1035 USD/h 0.45 USD/h
Manila (PH) / ap-southeast-6
0.1201 USD/h 0.522 USD/h
London (GB) / eu-west-1
0.1265 USD/h 0.55 USD/h
Jakarta (ID) / ap-southeast-5
0.1334 USD/h 0.58 USD/h
Hong Kong (HK) / cn-hongkong
0.1334 USD/h 0.58 USD/h
Frankfurt (DE) / eu-central-1
- 0.58 USD/h
Silicon Valley (US) / us-west-1
0.1364 USD/h 0.593 USD/h
Ulanqab (CN) / cn-wulanchabu
0.1387 USD/h 0.603 USD/h
Hohhot (CN) / cn-huhehaote
0.1389 USD/h 0.604 USD/h
Tokyo (JP) / ap-northeast-1
0.1281 USD/h 0.61 USD/h
Hangzhou (CN) / cn-hangzhou
0.1273 USD/h 0.67 USD/h
Qingdao (CN) / cn-qingdao
0.1407 USD/h 0.67 USD/h
Beijing (CN) / cn-beijing
- 0.67 USD/h
Chengdu (CN) / cn-chengdu
- 0.67 USD/h
Guangzhou (CN) / cn-guangzhou
- 0.67 USD/h
Heyuan (CN) / cn-heyuan
- 0.67 USD/h
Shanghai (CN) / cn-shanghai
- 0.67 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.67 USD/h

Processor

vCPUs
8
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
4
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
128 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
128 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
4 MiB
CPU L3 Cache
36 MiB
CPU L3 Cache Total
36 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
5.3
Scalability
66.25

System Resources and Accelerators

MEMORY
Memory Amount
32 GiB
Memory Amount Actual
32 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
      3.5 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated general-purpose virtual server offering balanced memory-to-CPU resources for moderate, non-compute-intensive enterprise workloads and basic database operations.

      General Purpose

      Alibaba Cloud ecs.g5ne.2xlarge is a general-purpose virtual server featuring 8 dedicated vCPUs and 32.0 GB of RAM, powered by an Intel Xeon 8163 processor running at 2.5 GHz. Operating on the KVM hypervisor, this instance provides a balanced 4.0 GB of memory per core but lacks local storage and GPU accelerators. Performance benchmarks place its compute and memory capabilities largely in the lower 25% tier, with a Passmark CPU score of 6968.94 and a baseline network bandwidth of 4 Gbps. While single-core processing and memory read bandwidth are weak, the instance maintains average large-block write speeds and stable dedicated resource allocation. It is best suited for moderate, non-compute-intensive workloads such as basic web serving, lightweight database operations, and general-purpose enterprise applications.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.32Score
      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) 463,275 ops/sec 1,919,289 ops/sec 0.24 50.00% 50.00% -51.00%
      Redis RPS (pipeline=16, SET) 3,411,611 ops/sec 11,728,058 ops/sec 0.28 20.00% 20.00% -22.00%
      PassMark Memory Mark (composite) 1,632 2,416 0.67 10.00% 10.00% -3.90%
      Memory bandwidth (read, 16 MB ~ L3) 42,034 MB/sec 108,466 MB/sec 0.38 10.00% 10.00% -9.20%
      PassMark single-thread CPU 1,677 Mops/s 2,365 Mops/s 0.71 10.00% 10.00% -3.40%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 935

      Geekbench Multi-Core

      Score: 3,539

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 6,969
      Compression
      		 90,273
      Encryption
      		 2,715
      Extended Instructions
      		 6,023
      Floating Point Maths
      		 10,525
      Integer Maths
      		 19,598
      Physics
      		 748
      Prime Numbers
      		 44
      Single Threaded
      		 1,677
      String Sorting
      		 12,198

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,632
      Database Operations
      		 2,157
      Memory Latency
      		 78
      Memory Read Cached
      		 19,475
      Memory Read Uncached
      		 6,149
      Memory Write
      		 6,523

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 182.79 171.26 0.94×
      bitops
      		 99,904 440,328 4.41×
      branch
      		 122,029 736,373 6.03×
      funccall
      		 448.32 1,900 4.24×
      funcret
      		 8,975 52,734 5.88×
      hash
      		 103,567 610,638 5.90×
      intmath
      		 17,699 108,081 6.11×
      nop
      		 151,531 522,008 3.44×
      prime
      		 262,000 1,191,087 4.55×
      rotate
      		 76,447 385,043 5.04×
      str
      		 649,204 3,343,036 5.15×
      wcs
      		 403,633 1,784,116 4.42×
      CryptographySingleMultiScaling
      crypt
      		 1,929 7,532 3.90×
      CompressionSingleMultiScaling
      jpeg
      		 448.94 2,403 5.35×
      zlib
      		 37.49 261.68 6.98×
      HypervisorSingleMultiScaling
      clock
      		 8,405 47,662 5.67×
      clone
      		 358.13 1,389 3.88×
      context
      		 518.19 3,097 5.98×
      cpu-sched
      		 57.19 500.25 8.75×
      eventfd
      		 25,734 229,701 8.93×
      fault
      		 8,416 46,759 5.56×
      fork
      		 2,533 15,506 6.12×
      getrandom
      		 31,913 162,868 5.10×
      hrtimers
      		 692,061 575,057 0.83×
      mprotect
      		 461,604 491,153 1.06×
      mtx
      		 12,145,401 128,679,090 10.59×
      munmap
      		 1,807 10,579 5.85×
      null
      		 48,972 290,017 5.92×
      pipe
      		 408,696 1,112,661 2.72×
      priv-instr
      		 145,899 861,227 5.90×
      resched
      		 749,287 345,503 0.46×
      switch
      		 61,580 607,299 9.86×
      timermix
      		 109,073 641,439 5.88×
      tlb-shootdown
      		 9,378 14,344 1.53×
      tsc
      		 788,306 4,409,066 5.59×
      usersyscall
      		 94,222 554,446 5.88×
      vdso
      		 64,135,005 450,681,470 7.03×
      vfork
      		 17,583 83,197 4.73×
      x86syscall
      		 565,164 3,175,947 5.62×
      yield
      		 1,830,738 1,809,260 0.99×
      zero
      		 474,329 2,812,925 5.93×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 12,970 65,884 5.08×
      expmath
      		 2,116 12,984 6.14×
      fma
      		 518,605 3,584,829 6.91×
      fp
      		 132 788.26 5.97×
      fractal
      		 4.2 24.4 5.81×
      hyperbolic
      		 2,218 13,843 6.24×
      logmath
      		 3,608 21,664 6.01×
      matrix
      		 2,471 15,353 6.21×
      matrix-3d
      		 538.04 1,539 2.86×
      monte-carlo
      		 31.79 171.81 5.40×
      mpfr
      		 972.28 4,273 4.39×
      powmath
      		 1,260 7,695 6.11×
      trig
      		 1,363 7,425 5.45×
      veccmp
      		 12,323 48,202 3.91×
      vecfp
      		 1,789 8,947 5.00×
      vecmath
      		 1,675 10,529 6.29×
      vecshuf
      		 740.5 3,198 4.32×
      vecwide
      		 44,759 210,606 4.71×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 5.6 26.6 4.75×
      bsearch
      		 197.18 904.28 4.59×
      bubblesort
      		 0.6 1.6 2.67×
      fibsearch
      		 221.48 1,109 5.01×
      heapsort
      		 6.6 32.2 4.88×
      hsearch
      		 3,940 20,057 5.09×
      insertionsort
      		 6.4 25.6 4.00×
      malloc
      		 1,531,685 12,464,341 8.14×
      mcontend
      		 119.85 1,372 11.45×
      mergesort
      		 21.2 110.2 5.20×
      qsort
      		 15 73.4 4.89×
      skiplist
      		 4,135 23,396 5.66×
      tree
      		 1 4.8 4.80×
      MemorySingleMultiScaling
      cache
      		 213,696 303,380 1.42×
      cachehammer
      		 351,308 2,448,343 6.97×
      cacheline
      		 30.25 251.09 8.30×
      l1cache
      		 177.71 771.91 4.34×
      memcpy
      		 301.34 1,216 4.03×
      memrate
      		 0.94 4.39 4.67×
      memthrash
      		 95.41 248.33 2.60×
      ptr-chase
      		 14,009,862 61,462,413 4.39×
      spinmem
      		 172.99 262.37 1.52×
      stream
      		 29.24 1,151 39.36×
      vm
      		 16,506 260,349 15.77×

      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.4xlarge 1664 GiB0
      ecs.g5ne.8xlarge 32128 GiB0
      ecs.g5ne.16xlarge 64256 GiB0
      ecs.g5ne.18xlarge 72288 GiB0

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      ecs.g5ne.2xlarge FAQs