ecs.g8a.4xlarge by Alibaba Cloud

ecs.g8a.4xlarge is a ecs.g8a 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 0.6321 USD per hour.
16 vCPU
64 GiB Memory
Spare SCore
24,604
(All-cores)
3,074
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.g8a.4xlarge
Description
ecs.g8a family (16 vCPUs, 64 GiB RAM, 0 GB storage)
Family
ecs.g8a
Hw Virt
Average Time To Start
14.5
Status
active
Observed At
2026-10-24T21:56:32.010798

Availability

REGION / IDSPOTONDEMAND
Shanghai (CN) / cn-shanghai
- 0.6321 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.6321 USD/h

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
8
CPU Speed
2.7 GHz
CPU Architecture
x86_64
CPU Manufacturer
AMD
CPU Family
EPYC
CPU Model
9T24
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
      7 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A balanced general-purpose instance featuring dedicated AMD EPYC processors, strong single-core performance, and a versatile 1:4 vCPU-to-RAM ratio.

      General Purpose

      Alibaba Cloud ecs.g8a.4xlarge is a general-purpose instance featuring 16 dedicated vCPUs and 64.0 GB of RAM, powered by an AMD EPYC 9T24 processor running at 2.7 GHz. Utilizing the KVM hypervisor, this x86_64 server provides a balanced 1:4 vCPU-to-RAM ratio but lacks local storage and GPU accelerators. Performance benchmarks indicate strong single-core CPU capabilities, placing in the top 25% for stress-ng and Geekbench single-core tests. However, a key tradeoff is its uncached large-block read memory bandwidth, which falls into the bottom 25% at 39.07 GB/sec. Conversely, cached memory reads and multi-core operations perform at average levels. With a baseline network bandwidth of 7 Gbps and support for AVX-512 and cryptographic instructions, this instance is suited for general-purpose workloads such as web serving, application hosting, software compilation, and standard database operations.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.82Score
      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) 1,471,344 ops/sec 1,919,289 ops/sec 0.79 50.00% 50.00% -11.00%
      Redis RPS (pipeline=16, SET) 11,411,552 ops/sec 11,728,058 ops/sec 0.92 20.00% 20.00% -1.70%
      PassMark Memory Mark (composite) 2,723 2,416 1.1 10.00% 10.00% +0.96%
      Memory bandwidth (read, 16 MB ~ L3) 43,292 MB/sec 108,466 MB/sec 0.39 10.00% 10.00% -9.00%
      PassMark single-thread CPU 2,890 Mops/s 2,365 Mops/s 1.2 10.00% 10.00% +1.80%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 2,006

      Geekbench Multi-Core

      Score: 11,760

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      26,440
      Compression
      313,370
      Encryption
      19,268
      Extended Instructions
      21,890
      Floating Point Maths
      42,507
      Integer Maths
      75,986
      Physics
      2,453
      Prime Numbers
      126
      Single Threaded
      2,890
      String Sorting
      45,666

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      2,723
      Database Operations
      7,885
      Memory Latency
      70
      Memory Read Cached
      27,398
      Memory Read Uncached
      26,131
      Memory Write
      25,904

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      602.71 322.11 0.53×
      bitops
      160,439 1,546,915 9.64×
      branch
      212,582 3,046,068 14.33×
      funccall
      618.41 6,879 11.12×
      funcret
      21,295 252,160 11.84×
      hash
      163,204 1,964,518 12.04×
      intmath
      66,918 717,081 10.72×
      nop
      627,028 5,087,773 8.11×
      prime
      482,211 5,072,273 10.52×
      rotate
      88,116 706,694 8.02×
      str
      1,067,201 10,355,648 9.70×
      wcs
      691,533 6,605,708 9.55×
      CryptographySingleMultiScaling
      crypt
      3,744 32,288 8.62×
      CompressionSingleMultiScaling
      jpeg
      832.69 9,238 11.09×
      zlib
      56.86 836.16 14.71×
      HypervisorSingleMultiScaling
      clock
      18,540 209,187 11.28×
      clone
      455.84 3,028 6.64×
      context
      1,777 21,462 12.08×
      cpu-sched
      60.39 1,033 17.11×
      eventfd
      71,834 854,756 11.90×
      fault
      10,799 129,953 12.03×
      fork
      4,776 49,406 10.34×
      getrandom
      50,069 536,729 10.72×
      hrtimers
      233,310 2,012,462 8.63×
      mprotect
      1,228,392 2,375,094 1.93×
      mtx
      39,749,610 934,681,822 23.51×
      munmap
      3,244 35,760 11.03×
      null
      193,099 2,223,875 11.52×
      pipe
      955,299 5,015,100 5.25×
      priv-instr
      328,605 4,052,746 12.33×
      resched
      3,789,114 1,754,803 0.46×
      switch
      188,131 1,888,137 10.04×
      timermix
      185,029 2,440,891 13.19×
      tlb-shootdown
      22,373 68,464 3.06×
      tsc
      784,174 12,270,611 15.65×
      usersyscall
      238,092 2,926,569 12.29×
      vdso
      92,471,386 1,196,513,967 12.94×
      vfork
      40,999 271,974 6.63×
      x86syscall
      2,182,261 25,123,461 11.51×
      yield
      7,648,932 8,436,137 1.10×
      zero
      1,677,009 19,929,043 11.88×
      CPU float/SIMDSingleMultiScaling
      eigen
      16,545 140,128 8.47×
      expmath
      2,494 33,250 13.33×
      fma
      918,997 12,059,271 13.12×
      fp
      251.48 3,094 12.30×
      fractal
      7.4 101.21 13.68×
      hyperbolic
      3,816 45,735 11.98×
      logmath
      4,555 52,211 11.46×
      matrix
      4,891 46,283 9.46×
      matrix-3d
      485.86 2,159 4.44×
      monte-carlo
      107.18 1,207 11.26×
      mpfr
      1,695 17,180 10.14×
      powmath
      1,314 17,204 13.09×
      trig
      1,869 22,855 12.23×
      veccmp
      18,978 198,867 10.48×
      vecfp
      1,809 21,469 11.87×
      vecmath
      4,028 52,154 12.95×
      vecshuf
      637.89 6,298 9.87×
      vecwide
      28,585 306,117 10.71×
      AlgorithmsSingleMultiScaling
      bitonicsort
      10.4 95.4 9.17×
      bsearch
      306.18 3,411 11.14×
      bubblesort
      0.8 10.2 12.75×
      fibsearch
      379.47 3,678 9.69×
      heapsort
      11 121.4 11.04×
      hsearch
      11,418 98,817 8.65×
      insertionsort
      13 105.8 8.14×
      malloc
      3,895,446 40,700,271 10.45×
      mcontend
      255.65 3,208 12.55×
      mergesort
      34.2 405.39 11.85×
      qsort
      21.8 252.19 11.57×
      skiplist
      7,018 90,867 12.95×
      tree
      2 13.19 6.59×
      MemorySingleMultiScaling
      cache
      898,306 2,266,321 2.52×
      cachehammer
      290,096 4,205,341 14.50×
      cacheline
      76.46 1,298 16.97×
      l1cache
      247.75 2,333 9.42×
      memcpy
      447.58 3,669 8.20×
      memrate
      3.9 6.1 1.56×
      memthrash
      212.64 583.03 2.74×
      ptr-chase
      45,474,959 134,785,969 2.96×
      spinmem
      279.39 874.87 3.13×
      stream
      136.3 3,267 23.97×
      vm
      65,909 293,170 4.45×

      Stress-ng Raw Scores

      Stress-ng Relative Multicore Performance

      Static Web Server

      Redis

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      ecs.g8a.4xlarge FAQs