ecs.g8ae.4xlarge by Alibaba Cloud

ecs.g8ae.4xlarge is a ecs.g8ae 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 0.1428 USD per hour.
16 vCPU
64 GiB Memory
Spare SCore
24,930
(All-cores)
3,114
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.g8ae.4xlarge
Description
ecs.g8ae family (16 vCPUs, 64 GiB RAM, 0 GB storage)
Family
ecs.g8ae
Hw Virt
Average Time To Start
12
Status
active
Observed At
2026-10-28T13:49:57.192985

Availability

REGION / IDSPOTONDEMAND
Shanghai (CN) / cn-shanghai
0.1428 USD/h 0.7138 USD/h
Beijing (CN) / cn-beijing
- 0.7138 USD/h

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
8
CPU Speed
3.4 GHz
CPU Architecture
x86_64
CPU Manufacturer
AMD
CPU Family
EPYC
CPU Model
9T34
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
32 MiB
CPU L3 Cache Total
32 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, ht, syscall, nx, mmxext, fxsr_opt, pdpe1gb, rdtscp, lm, constant_tsc, rep_good, amd_lbr_v2, nopl, nonstop_tsc, cpuid, extd_apicid, aperfmperf, 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, cmp_legacy, extapic, cr8_legacy, abm, sse4a, misalignsse, 3dnowprefetch, osvw, ibs, topoext, perfctr_core, perfctr_llc, mwaitx, ssbd, perfmon_v2, ibrs, ibpb, stibp, ibrs_enhanced, vmmcall, fsgsbase, tsc_adjust, bmi1, avx2, smep, bmi2, erms, invpcid, avx512f, avx512dq, rdseed, adx, smap, avx512ifma, clflushopt, clwb, avx512cd, sha_ni, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, avx512_bf16, clzero, irperf, xsaveerptr, rdpru, wbnoinvd, arat, avx512vbmi, umip, pku, ospke, avx512_vbmi2, gfni, vaes, vpclmulqdq, avx512_vnni, avx512_bitalg, avx512_vpopcntdq, rdpid, fsrm
Ecpus
8
Scalability
50

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

      CPU and System Topology

      Server Description

      A dedicated AMD EPYC instance delivering strong single-core performance and balanced memory for general-purpose workloads utilizing network-attached storage.

      General Purpose

      Alibaba Cloud ecs.g8ae.4xlarge is an x86_64 general-purpose instance featuring 16 dedicated vCPUs and 64.0 GB of RAM, powered by an AMD EPYC 9T34 processor running at 3.4 GHz. The instance lacks local storage, relying entirely on network-attached volumes, and provides a baseline network bandwidth of 12 Gbps. Benchmark data reveals a distinct performance profile: single-core CPU execution is highly competitive, placing in the top 10% for stress-ng and top 25% for Geekbench single-core tests. However, multi-core performance, memory bandwidth, and database operations align with average mid-tier standards. Supported by AVX-512 and cryptographic hardware acceleration, this instance offers a balanced resource configuration. It is suitable for workloads such as web serving, text processing, and general-purpose application hosting where single-thread efficiency is prioritized and external storage is utilized.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.84Score
      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) 1,461,952 ops/sec 1,919,289 ops/sec 0.79 50.00% 50.00% -11.00%
      Redis RPS (pipeline=16, SET) 11,424,446 ops/sec 11,728,058 ops/sec 0.92 20.00% 20.00% -1.70%
      PassMark Memory Mark (composite) 2,721 2,416 1.1 10.00% 10.00% +0.96%
      Memory bandwidth (read, 16 MB ~ L3) 53,719 MB/sec 108,466 MB/sec 0.49 10.00% 10.00% -6.90%
      PassMark single-thread CPU 2,924 Mops/s 2,365 Mops/s 1.2 10.00% 10.00% +1.80%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 2,025

      Geekbench Multi-Core

      Score: 11,986

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      26,762
      Compression
      314,956
      Encryption
      19,517
      Extended Instructions
      22,157
      Floating Point Maths
      43,066
      Integer Maths
      76,986
      Physics
      2,597
      Prime Numbers
      125
      Single Threaded
      2,924
      String Sorting
      46,308

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      2,721
      Database Operations
      8,023
      Memory Latency
      72
      Memory Read Cached
      27,844
      Memory Read Uncached
      26,542
      Memory Write
      25,813

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      589.93 327.1 0.55×
      bitops
      162,476 1,567,077 9.64×
      branch
      215,436 3,086,485 14.33×
      funccall
      626.89 7,008 11.18×
      funcret
      21,638 248,526 11.49×
      hash
      165,372 1,980,063 11.97×
      intmath
      68,064 711,200 10.45×
      nop
      635,384 5,157,118 8.12×
      prime
      486,922 5,169,734 10.62×
      rotate
      89,370 716,463 8.02×
      str
      1,055,098 11,344,632 10.75×
      wcs
      671,779 6,667,757 9.93×
      CryptographySingleMultiScaling
      crypt
      3,795 32,729 8.62×
      CompressionSingleMultiScaling
      jpeg
      841.32 9,404 11.18×
      zlib
      45.91 838.69 18.27×
      HypervisorSingleMultiScaling
      clock
      18,895 210,106 11.12×
      clone
      456.41 3,091 6.77×
      context
      1,800 21,223 11.79×
      cpu-sched
      63.39 1,045 16.48×
      eventfd
      72,234 874,664 12.11×
      fault
      10,962 132,397 12.08×
      fork
      4,795 49,854 10.40×
      getrandom
      50,708 543,893 10.73×
      hrtimers
      517,869 1,859,188 3.59×
      mprotect
      1,250,235 2,410,604 1.93×
      mtx
      37,098,907 893,881,286 24.09×
      munmap
      3,292 35,984 10.93×
      null
      195,524 2,263,116 11.57×
      pipe
      961,302 5,426,750 5.65×
      priv-instr
      343,277 4,100,266 11.94×
      resched
      3,878,272 1,505,936 0.39×
      switch
      177,862 1,910,854 10.74×
      timermix
      180,148 2,459,225 13.65×
      tlb-shootdown
      22,150 69,030 3.12×
      tsc
      794,028 12,432,034 15.66×
      usersyscall
      241,417 2,965,342 12.28×
      vdso
      93,709,806 1,213,673,950 12.95×
      vfork
      41,226 274,890 6.67×
      x86syscall
      2,229,642 25,493,898 11.43×
      yield
      7,759,965 8,603,285 1.11×
      zero
      1,696,986 20,197,549 11.90×
      CPU float/SIMDSingleMultiScaling
      eigen
      16,783 142,595 8.50×
      expmath
      2,781 35,812 12.88×
      fma
      930,991 12,252,366 13.16×
      fp
      254.4 3,142 12.35×
      fractal
      7.6 102.61 13.50×
      hyperbolic
      3,864 46,362 12.00×
      logmath
      4,615 52,858 11.45×
      matrix
      4,982 46,677 9.37×
      matrix-3d
      596.24 2,485 4.17×
      monte-carlo
      107.44 1,218 11.34×
      mpfr
      1,715 17,439 10.17×
      powmath
      1,319 17,371 13.17×
      trig
      1,895 23,164 12.22×
      veccmp
      19,219 200,670 10.44×
      vecfp
      1,829 21,670 11.85×
      vecmath
      4,081 52,825 12.95×
      vecshuf
      646.6 6,382 9.87×
      vecwide
      28,937 310,427 10.73×
      AlgorithmsSingleMultiScaling
      bitonicsort
      10.6 96 9.06×
      bsearch
      310.7 3,192 10.27×
      bubblesort
      0.8 12.6 15.75×
      fibsearch
      384.33 3,760 9.78×
      heapsort
      11.2 122.2 10.91×
      hsearch
      11,486 99,525 8.66×
      insertionsort
      13.2 105.8 8.02×
      malloc
      3,912,700 39,989,535 10.22×
      mcontend
      254.4 3,216 12.64×
      mergesort
      34.2 412.59 12.06×
      qsort
      22.2 255.19 11.50×
      skiplist
      7,123 92,182 12.94×
      tree
      2 12.79 6.39×
      MemorySingleMultiScaling
      cache
      906,031 2,214,587 2.44×
      cachehammer
      295,520 4,174,945 14.13×
      cacheline
      78.29 1,346 17.19×
      l1cache
      263.27 2,349 8.92×
      memcpy
      453.35 3,718 8.20×
      memrate
      3.91 6.11 1.56×
      memthrash
      212.38 661.28 3.11×
      ptr-chase
      45,747,340 132,548,542 2.90×
      spinmem
      286.99 865.57 3.02×
      stream
      137.08 3,362 24.52×
      vm
      66,465 293,227 4.41×

      Stress-ng Raw Scores

      Stress-ng Relative Multicore Performance

      Static Web Server

      Redis

      Alternatives

      Servers of the Same Family

      INSTANCEvCPUsMEMORYAccelerators
      ecs.g8ae.large 28 GiB0
      ecs.g8ae.xlarge 416 GiB0
      ecs.g8ae.2xlarge 832 GiB0
      ecs.g8ae.8xlarge 32128 GiB0
      ecs.g8ae.16xlarge 64256 GiB0
      ecs.g8ae.32xlarge 128512 GiB0

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      ecs.g8ae.4xlarge FAQs