ecs.g5.2xlarge by Alibaba Cloud

ecs.g5.2xlarge is a ecs.g5 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 0.0991 USD per hour.
8 vCPU
32 GiB Memory
Spare SCore
5,882
(All-cores)
1,107
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.g5.2xlarge
Description
ecs.g5 family (8 vCPUs, 32 GiB RAM, 0 GB storage)
Family
ecs.g5
Hw Virt
Status
active
Observed At
2026-10-23T21:32:38.416296

Availability

REGION / IDSPOTONDEMAND
Jakarta (ID) / ap-southeast-5
0.0991 USD/h 0.472 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.57 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, 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
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
      2.5 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated general-purpose instance offering balanced memory-to-CPU ratios for standard workloads requiring stable, non-burstable compute resources.

      General Purpose

      Alibaba Cloud ecs.g5.2xlarge is a general-purpose instance featuring 8 dedicated vCPUs and 32.0 GB of RAM, powered by an Intel Xeon 8163 processor running at 2.5 GHz on the KVM hypervisor. It lacks local storage and GPU accelerators, relying on a baseline network bandwidth of 2 Gbps. Performance benchmarks place the instance primarily in the lower tiers, with weak single-core and multi-core CPU performance, though it achieves average results in large-block memory bandwidth and extended instruction tests. The instance offers a qualitative balance of dedicated resource allocation at a lower tier of hardware generation, presenting a tradeoff between dedicated CPU access and raw processing speed. It is best suited for general-purpose workloads, basic web serving, and small-scale database operations that do not require high-performance compute.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.39Score
      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) 623,540 ops/sec 1,919,289 ops/sec 0.33 50.00% 50.00% -43.00%
      Redis RPS (pipeline=16, SET) 3,690,369 ops/sec 11,728,058 ops/sec 0.31 20.00% 20.00% -21.00%
      PassMark Memory Mark (composite) 1,722 2,416 0.71 10.00% 10.00% -3.40%
      Memory bandwidth (read, 16 MB ~ L3) 43,921 MB/sec 108,466 MB/sec 0.4 10.00% 10.00% -8.80%
      PassMark single-thread CPU 1,683 Mops/s 2,365 Mops/s 0.71 10.00% 10.00% -3.40%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,006

      Geekbench Multi-Core

      Score: 3,857

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 7,042
      Compression
      		 90,760
      Encryption
      		 2,727
      Extended Instructions
      		 6,080
      Floating Point Maths
      		 10,564
      Integer Maths
      		 19,674
      Physics
      		 807
      Prime Numbers
      		 50
      Single Threaded
      		 1,683
      String Sorting
      		 12,134

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,722
      Database Operations
      		 2,237
      Memory Latency
      		 75
      Memory Read Cached
      		 19,244
      Memory Read Uncached
      		 6,849
      Memory Write
      		 7,171

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 191.83 197.02 1.03×
      bitops
      		 97,176 432,337 4.45×
      branch
      		 122,142 739,712 6.06×
      funccall
      		 449.04 1,881 4.19×
      funcret
      		 9,067 52,496 5.79×
      hash
      		 103,543 613,091 5.92×
      intmath
      		 17,732 108,587 6.12×
      nop
      		 151,457 524,018 3.46×
      prime
      		 260,786 1,164,738 4.47×
      rotate
      		 76,525 393,124 5.14×
      str
      		 651,338 3,231,842 4.96×
      wcs
      		 423,820 1,799,163 4.25×
      CryptographySingleMultiScaling
      crypt
      		 1,925 7,523 3.91×
      CompressionSingleMultiScaling
      jpeg
      		 473.82 2,461 5.19×
      zlib
      		 48.88 274.21 5.61×
      HypervisorSingleMultiScaling
      clock
      		 15,076 83,091 5.51×
      clone
      		 376.92 1,486 3.94×
      context
      		 1,540 8,331 5.41×
      cpu-sched
      		 61.72 523.25 8.48×
      eventfd
      		 72,956 370,888 5.08×
      fault
      		 10,784 57,626 5.34×
      fork
      		 3,439 19,178 5.58×
      getrandom
      		 35,600 176,599 4.96×
      hrtimers
      		 484,050 728,547 1.51×
      mprotect
      		 714,106 977,146 1.37×
      mtx
      		 11,007,508 182,229,405 16.56×
      munmap
      		 2,409 12,711 5.28×
      null
      		 167,211 829,079 4.96×
      pipe
      		 841,783 2,221,904 2.64×
      priv-instr
      		 346,985 1,823,380 5.25×
      resched
      		 1,394,105 628,448 0.45×
      switch
      		 196,344 825,250 4.20×
      timermix
      		 337,895 1,841,665 5.45×
      tlb-shootdown
      		 9,622 18,882 1.96×
      tsc
      		 788,715 4,423,782 5.61×
      usersyscall
      		 241,899 1,268,451 5.24×
      vdso
      		 64,139,021 453,758,087 7.07×
      vfork
      		 25,078 101,478 4.05×
      x86syscall
      		 1,829,346 9,311,665 5.09×
      yield
      		 3,518,283 3,505,612 1.00×
      zero
      		 1,230,016 5,950,620 4.84×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 12,624 66,735 5.29×
      expmath
      		 2,129 12,995 6.10×
      fma
      		 509,501 3,326,917 6.53×
      fp
      		 103.05 576.47 5.59×
      fractal
      		 4 23 5.75×
      hyperbolic
      		 2,187 13,883 6.35×
      logmath
      		 3,612 21,759 6.02×
      matrix
      		 2,434 15,918 6.54×
      matrix-3d
      		 559.86 1,602 2.86×
      monte-carlo
      		 85.81 440.9 5.14×
      mpfr
      		 966.28 4,186 4.33×
      powmath
      		 1,256 7,688 6.12×
      trig
      		 1,359 7,365 5.42×
      veccmp
      		 12,332 51,063 4.14×
      vecfp
      		 1,100 5,483 4.98×
      vecmath
      		 1,729 10,921 6.32×
      vecshuf
      		 446.26 1,918 4.30×
      vecwide
      		 21,079 95,335 4.52×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 5.6 26.6 4.75×
      bsearch
      		 198.15 902.06 4.55×
      bubblesort
      		 0.6 1.6 2.67×
      fibsearch
      		 222.27 1,107 4.98×
      heapsort
      		 6.6 32.4 4.91×
      hsearch
      		 4,064 19,552 4.81×
      insertionsort
      		 6.4 25.6 4.00×
      malloc
      		 1,658,412 13,219,730 7.97×
      mcontend
      		 133.85 1,844 13.77×
      mergesort
      		 21.2 111.6 5.26×
      qsort
      		 15 74 4.93×
      skiplist
      		 4,129 23,479 5.69×
      tree
      		 1.2 4.8 4.00×
      MemorySingleMultiScaling
      cache
      		 256,773 382,704 1.49×
      cachehammer
      		 248,117 1,797,141 7.24×
      cacheline
      		 29.53 255.73 8.66×
      l1cache
      		 179.79 774.89 4.31×
      memcpy
      		 302.8 1,224 4.04×
      memrate
      		 0.97 4.56 4.70×
      memthrash
      		 153.65 254.05 1.65×
      ptr-chase
      		 25,073,787 70,307,959 2.80×
      spinmem
      		 315.59 554.55 1.76×
      stream
      		 31.96 1,224 38.29×
      vm
      		 29,822 267,584 8.97×

      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.g5.3xlarge 1248 GiB0
      ecs.g5.4xlarge 1664 GiB0
      ecs.g5.6xlarge 2496 GiB0
      ecs.g5.8xlarge 32128 GiB0
      ecs.g5.16xlarge 64256 GiB0

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      ecs.g5.2xlarge FAQs