ecs.g5.8xlarge by Alibaba Cloud

ecs.g5.8xlarge is a ecs.g5 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 0.3776 USD per hour.
32 vCPU
128 GiB Memory
Spare SCore
23,637
(All-cores)
1,108
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.g5.8xlarge
Description
ecs.g5 family (32 vCPUs, 128 GiB RAM, 0 GB storage)
Family
ecs.g5
Hw Virt
Status
active
Observed At
2026-10-24T15:16:59.065824

Availability

REGION / IDSPOTONDEMAND
Jakarta (ID) / ap-southeast-5
0.3776 USD/h 1.888 USD/h
Shenzhen (CN) / cn-shenzhen
- 2.26 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
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, monitor, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, abm, 3dnowprefetch, pti, fsgsbase, tsc_adjust, bmi1, avx2, smep, bmi2, erms, invpcid, avx512f, avx512dq, rdseed, adx, smap, clflushopt, clwb, avx512cd, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, arat, avx512_vnni
Ecpus
21.3
Scalability
66.56

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

      Balanced general-purpose compute instance offering 32 vCPUs and 128 GB RAM with steady multi-core execution for containerized applications and services.

      General Purpose

      Alibaba Cloud ecs.g5.8xlarge is a general-purpose instance featuring an Intel Xeon 8163 processor with 16 physical cores and 32 vCPUs running at 2.5 GHz under KVM virtualization. It includes 128.0 GB of memory, yielding 4.0 GB per vCPU, alongside a 10 Gbps baseline network bandwidth. The instance contains no bundled local storage or GPUs. Benchmark evaluations indicate lower single-threaded processor performance, with single-core stress-ng and Geekbench scores placing in the bottom 25 percent. Conversely, multi-core benchmarks, memory bandwidth, static web serving throughput, and database processing align with average industry standards. This hardware profile provides resource balance for distributed multi-threaded applications, microservices, container nodes, and caching layers like Redis where multi-core execution offsets lower single-thread throughput.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.1Score
      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) 2,456,910 ops/sec 1,919,289 ops/sec 1.3 50.00% 50.00% +14.00%
      Redis RPS (pipeline=16, SET) 13,742,302 ops/sec 11,728,058 ops/sec 1.2 20.00% 20.00% +3.70%
      PassMark Memory Mark (composite) 1,932 2,416 0.79 10.00% 10.00% -2.30%
      Memory bandwidth (read, 16 MB ~ L3) 100,512 MB/sec 108,466 MB/sec 0.91 10.00% 10.00% -0.94%
      PassMark single-thread CPU 1,668 Mops/s 2,365 Mops/s 0.71 10.00% 10.00% -3.40%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 995

      Geekbench Multi-Core

      Score: 8,902

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 23,224
      Compression
      		 361,707
      Encryption
      		 10,934
      Extended Instructions
      		 24,856
      Floating Point Maths
      		 42,370
      Integer Maths
      		 78,984
      Physics
      		 2,257
      Prime Numbers
      		 111
      Single Threaded
      		 1,668
      String Sorting
      		 47,555

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,932
      Database Operations
      		 8,652
      Memory Latency
      		 72
      Memory Read Cached
      		 19,460
      Memory Read Uncached
      		 6,958
      Memory Write
      		 7,244

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 172.34 151.74 0.88×
      bitops
      		 97,170 1,732,936 17.83×
      branch
      		 122,185 2,971,257 24.32×
      funccall
      		 449.9 7,574 16.84×
      funcret
      		 9,140 212,118 23.21×
      hash
      		 103,746 2,453,563 23.65×
      intmath
      		 17,887 436,796 24.42×
      nop
      		 151,697 2,104,581 13.87×
      prime
      		 261,175 4,670,042 17.88×
      rotate
      		 76,646 1,548,993 20.21×
      str
      		 658,294 12,885,321 19.57×
      wcs
      		 421,926 7,377,774 17.49×
      CryptographySingleMultiScaling
      crypt
      		 1,933 30,224 15.63×
      CompressionSingleMultiScaling
      jpeg
      		 475.31 9,329 19.63×
      zlib
      		 30.78 1,068 34.70×
      HypervisorSingleMultiScaling
      clock
      		 14,661 258,517 17.63×
      clone
      		 383.13 5,405 14.11×
      context
      		 1,543 32,959 21.36×
      cpu-sched
      		 60.6 2,039 33.64×
      eventfd
      		 70,674 818,309 11.58×
      fault
      		 10,842 178,515 16.46×
      fork
      		 3,238 55,763 17.22×
      getrandom
      		 35,704 709,433 19.87×
      hrtimers
      		 158,850 2,358,898 14.85×
      mprotect
      		 951,861 3,894,556 4.09×
      mtx
      		 11,727,460 723,270,107 61.67×
      munmap
      		 2,327 41,209 17.71×
      null
      		 165,446 3,277,945 19.81×
      pipe
      		 694,333 7,352,516 10.59×
      priv-instr
      		 346,271 7,205,178 20.81×
      resched
      		 4,336,386 2,319,463 0.53×
      switch
      		 202,867 3,260,417 16.07×
      timermix
      		 340,020 7,442,718 21.89×
      tlb-shootdown
      		 9,745 50,983 5.23×
      tsc
      		 790,203 17,779,335 22.50×
      usersyscall
      		 242,970 5,037,859 20.73×
      vdso
      		 64,247,045 1,799,235,147 28.00×
      vfork
      		 25,942 133,925 5.16×
      x86syscall
      		 1,866,507 36,675,431 19.65×
      yield
      		 12,927,856 14,350,695 1.11×
      zero
      		 1,225,716 23,768,076 19.39×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 12,917 263,028 20.36×
      expmath
      		 2,127 52,379 24.62×
      fma
      		 510,970 13,410,449 26.25×
      fp
      		 99.86 2,334 23.37×
      fractal
      		 4 92.02 23.00×
      hyperbolic
      		 2,188 55,805 25.50×
      logmath
      		 3,618 87,367 24.15×
      matrix
      		 2,443 64,187 26.28×
      matrix-3d
      		 596.76 4,238 7.10×
      monte-carlo
      		 85.81 1,732 20.18×
      mpfr
      		 968.93 16,812 17.35×
      powmath
      		 1,258 30,862 24.53×
      trig
      		 1,361 29,595 21.75×
      veccmp
      		 12,360 203,706 16.48×
      vecfp
      		 1,103 21,891 19.85×
      vecmath
      		 1,732 43,892 25.34×
      vecshuf
      		 447.51 7,703 17.21×
      vecwide
      		 21,135 382,773 18.11×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 5.6 106.4 19.00×
      bsearch
      		 197.89 3,635 18.37×
      bubblesort
      		 0.6 6.4 10.67×
      fibsearch
      		 222.77 4,559 20.47×
      heapsort
      		 6.6 133.2 20.18×
      hsearch
      		 4,079 78,654 19.28×
      insertionsort
      		 6.4 102.4 16.00×
      malloc
      		 1,707,229 31,292,687 18.33×
      mcontend
      		 108.49 7,343 67.68×
      mergesort
      		 21.2 435.18 20.53×
      qsort
      		 15 294.39 19.63×
      skiplist
      		 4,136 94,213 22.78×
      tree
      		 1.2 12.78 10.65×
      MemorySingleMultiScaling
      cache
      		 289,195 527,667 1.82×
      cachehammer
      		 250,119 6,707,518 26.82×
      cacheline
      		 29.16 2,195 75.28×
      l1cache
      		 180.33 3,102 17.20×
      memcpy
      		 302.9 4,895 16.16×
      memrate
      		 0.97 11.76 12.12×
      memthrash
      		 187.08 820.72 4.39×
      ptr-chase
      		 29,969,158 236,415,821 7.89×
      spinmem
      		 316.99 2,077 6.55×
      stream
      		 34.14 11,422 334.56×
      vm
      		 29,831 295,686 9.91×

      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.g5.large 28 GiB0
      ecs.g5.xlarge 416 GiB0
      ecs.g5.2xlarge 832 GiB0
      ecs.g5.3xlarge 1248 GiB0
      ecs.g5.4xlarge 1664 GiB0
      ecs.g5.6xlarge 2496 GiB0
      ecs.g5.16xlarge 64256 GiB0

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      ecs.g5.8xlarge FAQs