ecs.g5ne.8xlarge by Alibaba Cloud

ecs.g5ne.8xlarge is a ecs.g5ne family (32 vCPUs, 128 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 32 vCPUs, 128 GiB of memory and 0 GB of storage. The pricing starts at 0.342 USD per hour.
32 vCPU
128 GiB Memory
Spare SCore
23,406
(All-cores)
1,107
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.g5ne.8xlarge
Description
ecs.g5ne family (32 vCPUs, 128 GiB RAM, 0 GB storage)
Family
ecs.g5ne
Hw Virt
Status
active
Observed At
2026-10-27T14:41:34.232918

Availability

REGION / IDSPOTONDEMAND
Virginia (US) / us-east-1
0.342 USD/h 1.8 USD/h
Manila (PH) / ap-southeast-6
0.3967 USD/h 2.088 USD/h
London (GB) / eu-west-1
0.418 USD/h 2.2 USD/h
Jakarta (ID) / ap-southeast-5
0.3944 USD/h 2.32 USD/h
Ulanqab (CN) / cn-wulanchabu
0.5548 USD/h 2.412 USD/h
Tokyo (JP) / ap-northeast-1
0.4636 USD/h 2.44 USD/h
Chengdu (CN) / cn-chengdu
0.4288 USD/h 2.68 USD/h
Heyuan (CN) / cn-heyuan
0.4288 USD/h 2.68 USD/h
Qingdao (CN) / cn-qingdao
0.4288 USD/h 2.68 USD/h
Shenzhen (CN) / cn-shenzhen
0.4288 USD/h 2.68 USD/h
Guangzhou (CN) / cn-guangzhou
0.5092 USD/h 2.68 USD/h
Beijing (CN) / cn-beijing
- 2.68 USD/h
Hangzhou (CN) / cn-hangzhou
- 2.68 USD/h
Shanghai (CN) / cn-shanghai
- 2.68 USD/h

Processor

vCPUs
32
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
16
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
512 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
512 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
16 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
21.1
Scalability
65.94

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

      CPU and System Topology

      Server Description

      A general-purpose cloud instance offering 32 vCPUs, 128 GB RAM, and balanced multi-core benchmark performance for enterprise backend application workloads.

      General Purpose

      Alibaba Cloud ecs.g5ne.8xlarge is a general-purpose KVM virtual instance featuring 32 vCPUs and 128 GB of system RAM, providing 4.0 GB per core. Driven by an Intel Xeon 8163 processor running at 2.5 GHz, the x86_64 architecture includes 16 physical cores with hyper-threading and supports AVX-512 and AES instructions. The server includes no local disk storage or GPU accelerators, relying on external network storage alongside a baseline network bandwidth of 15 Gbps. Benchmark results show average multi-core CPU performance, software compilation capability, static web serving throughput of 14.04 GB/sec, and Redis execution speeds reaching 23.48 million operations per second. However, single-core processing power and single-threaded gzip compression remain in the lower performance brackets. This resource balance provides a cost-conscious infrastructure choice for multi-threaded applications, enterprise backend services, web hosting fleets, and moderate database operations that do not depend on high single-threaded clock speed.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.99Score
      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) 1,916,704 ops/sec 1,918,343 ops/sec 1 50.00% 50.00% 0.00%
      Redis RPS (pipeline=16, SET) 13,629,766 ops/sec 11,704,734 ops/sec 1.2 20.00% 20.00% +3.70%
      PassMark Memory Mark (composite) 1,798 2,416 0.75 10.00% 10.00% -2.80%
      Memory bandwidth (read, 16 MB ~ L3) 131,607 MB/sec 108,420 MB/sec 1.2 10.00% 10.00% +1.80%
      PassMark single-thread CPU 1,686 Mops/s 2,365 Mops/s 0.71 10.00% 10.00% -3.40%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 951

      Geekbench Multi-Core

      Score: 8,312

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 23,344
      Compression
      		 361,928
      Encryption
      		 10,852
      Extended Instructions
      		 23,803
      Floating Point Maths
      		 42,001
      Integer Maths
      		 78,197
      Physics
      		 2,435
      Prime Numbers
      		 136
      Single Threaded
      		 1,686
      String Sorting
      		 46,923

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,798
      Database Operations
      		 8,538
      Memory Latency
      		 79
      Memory Read Cached
      		 19,540
      Memory Read Uncached
      		 6,148
      Memory Write
      		 6,748

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 115.78 119.28 1.03×
      bitops
      		 100,403 1,755,592 17.49×
      branch
      		 122,104 2,940,022 24.08×
      funccall
      		 450.01 7,566 16.81×
      funcret
      		 9,147 211,093 23.08×
      hash
      		 103,679 2,436,668 23.50×
      intmath
      		 17,911 433,106 24.18×
      nop
      		 151,654 2,083,583 13.74×
      prime
      		 263,913 4,749,475 18.00×
      rotate
      		 76,622 1,529,361 19.96×
      str
      		 626,475 12,849,336 20.51×
      wcs
      		 402,513 7,276,387 18.08×
      CryptographySingleMultiScaling
      crypt
      		 1,936 30,052 15.52×
      CompressionSingleMultiScaling
      jpeg
      		 448.84 8,945 19.93×
      zlib
      		 37.3 995.64 26.69×
      HypervisorSingleMultiScaling
      clock
      		 8,549 113,503 13.28×
      clone
      		 240.45 4,587 19.08×
      context
      		 532.79 12,625 23.70×
      cpu-sched
      		 67.23 2,099 31.21×
      eventfd
      		 23,891 417,127 17.46×
      fault
      		 8,441 114,248 13.54×
      fork
      		 2,264 37,827 16.71×
      getrandom
      		 32,121 652,450 20.31×
      hrtimers
      		 159,846 2,793,684 17.48×
      mprotect
      		 528,773 1,948,839 3.69×
      mtx
      		 9,618,126 648,739,510 67.45×
      munmap
      		 1,661 29,143 17.54×
      null
      		 52,705 1,183,389 22.45×
      pipe
      		 311,339 3,735,864 12.00×
      priv-instr
      		 149,801 3,414,528 22.79×
      resched
      		 2,511,755 1,296,145 0.52×
      switch
      		 111,765 2,292,718 20.51×
      timermix
      		 111,703 2,579,937 23.10×
      tlb-shootdown
      		 6,126 40,336 6.58×
      tsc
      		 789,856 17,607,025 22.29×
      usersyscall
      		 97,148 2,233,768 22.99×
      vdso
      		 64,262,065 1,803,398,035 28.06×
      vfork
      		 15,890 119,981 7.55×
      x86syscall
      		 579,578 12,918,036 22.29×
      yield
      		 7,042,996 7,388,899 1.05×
      zero
      		 490,094 11,451,564 23.37×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 12,974 266,967 20.58×
      expmath
      		 2,136 51,941 24.32×
      fma
      		 478,860 13,161,513 27.49×
      fp
      		 132 3,120 23.64×
      fractal
      		 4.2 97.02 23.10×
      hyperbolic
      		 2,225 55,206 24.82×
      logmath
      		 3,612 86,620 23.98×
      matrix
      		 2,469 61,157 24.77×
      matrix-3d
      		 529.38 4,544 8.58×
      monte-carlo
      		 31.78 695.86 21.90×
      mpfr
      		 980.84 17,073 17.41×
      powmath
      		 1,255 30,683 24.45×
      trig
      		 1,366 29,692 21.74×
      veccmp
      		 12,322 191,427 15.54×
      vecfp
      		 1,760 34,528 19.62×
      vecmath
      		 1,677 42,076 25.09×
      vecshuf
      		 744.96 12,739 17.10×
      vecwide
      		 44,955 840,990 18.71×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 5.6 105.8 18.89×
      bsearch
      		 197.34 3,618 18.33×
      bubblesort
      		 0.6 6.4 10.67×
      fibsearch
      		 223.05 4,499 20.17×
      heapsort
      		 6.8 129.2 19.00×
      hsearch
      		 4,049 77,891 19.24×
      insertionsort
      		 6.4 102.4 16.00×
      malloc
      		 1,600,672 21,734,568 13.58×
      mcontend
      		 63.51 6,342 99.86×
      mergesort
      		 21.2 437.18 20.62×
      qsort
      		 15 293.79 19.59×
      skiplist
      		 4,147 92,999 22.43×
      tree
      		 1.2 16.58 13.82×
      MemorySingleMultiScaling
      cache
      		 243,103 490,799 2.02×
      cachehammer
      		 359,123 8,738,409 24.33×
      cacheline
      		 18.34 1,248 68.04×
      l1cache
      		 179.08 3,056 17.06×
      memcpy
      		 302.1 4,854 16.07×
      memrate
      		 0.94 11.29 12.01×
      memthrash
      		 147.48 802.32 5.44×
      ptr-chase
      		 28,973,382 237,437,949 8.20×
      spinmem
      		 195.99 1,194 6.09×
      stream
      		 33.75 13,558 401.73×
      vm
      		 15,915 295,018 18.54×

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

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      ecs.g5ne.8xlarge FAQs