ecs.g8a.2xlarge by Alibaba Cloud

ecs.g8a.2xlarge is a ecs.g8a 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 0.316 USD per hour.
8 vCPU
32 GiB Memory
Spare SCore
12,302
(All-cores)
3,075
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.g8a.2xlarge
Description
ecs.g8a family (8 vCPUs, 32 GiB RAM, 0 GB storage)
Family
ecs.g8a
Hw Virt
Average Time To Start
12.33
Status
active
Observed At
2026-10-24T21:56:32.010760

Availability

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

Processor

vCPUs
8
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
4
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
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
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, 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
4
Scalability
50

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
      4 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 32 GB of RAM for standard enterprise workloads.

      General Purpose

      Alibaba Cloud ecs.g8a.2xlarge is an x86_64 general-purpose instance featuring 8 dedicated vCPUs and 32.0 GB of RAM. Powered by an AMD EPYC 9T24 processor running at 2.7 GHz, it provides 4.0 GB of memory per core and 32 MB of L3 cache. The instance does not include local storage or GPUs, and it delivers a baseline network bandwidth of 4 Gbps. Performance benchmarks show strong single-core capabilities, with stress-ng and Geekbench single-core scores ranking in the top 25%, alongside strong text processing performance. However, multi-core execution and most memory operations fall into the average tier, with a notable weakness in uncached large-block read memory bandwidth. This resource profile makes the instance suitable for general-purpose workloads, web serving, and database operations that do not demand high-speed local storage.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.52Score
      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) 731,735 ops/sec 1,919,289 ops/sec 0.38 50.00% 50.00% -38.00%
      Redis RPS (pipeline=16, SET) 6,426,680 ops/sec 11,728,058 ops/sec 0.53 20.00% 20.00% -12.00%
      PassMark Memory Mark (composite) 2,633 2,416 1.1 10.00% 10.00% +0.96%
      Memory bandwidth (read, 16 MB ~ L3) 49,464 MB/sec 108,466 MB/sec 0.45 10.00% 10.00% -7.70%
      PassMark single-thread CPU 2,889 Mops/s 2,365 Mops/s 1.2 10.00% 10.00% +1.80%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 2,000

      Geekbench Multi-Core

      Score: 7,722

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 14,487
      Compression
      		 157,665
      Encryption
      		 9,610
      Extended Instructions
      		 10,844
      Floating Point Maths
      		 21,254
      Integer Maths
      		 37,861
      Physics
      		 1,566
      Prime Numbers
      		 92
      Single Threaded
      		 2,889
      String Sorting
      		 23,265

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,633
      Database Operations
      		 4,133
      Memory Latency
      		 69
      Memory Read Cached
      		 27,554
      Memory Read Uncached
      		 26,333
      Memory Write
      		 25,973

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 556.24 342.86 0.62×
      bitops
      		 159,912 772,253 4.83×
      branch
      		 212,342 1,521,220 7.16×
      funccall
      		 617.85 3,508 5.68×
      funcret
      		 21,372 121,043 5.66×
      hash
      		 162,584 966,830 5.95×
      intmath
      		 66,789 353,884 5.30×
      nop
      		 626,704 2,541,624 4.06×
      prime
      		 474,063 2,530,600 5.34×
      rotate
      		 88,086 352,952 4.01×
      str
      		 1,083,566 5,590,846 5.16×
      wcs
      		 695,995 3,166,073 4.55×
      CryptographySingleMultiScaling
      crypt
      		 3,736 16,099 4.31×
      CompressionSingleMultiScaling
      jpeg
      		 888.57 4,866 5.48×
      zlib
      		 54.75 437.04 7.98×
      HypervisorSingleMultiScaling
      clock
      		 18,774 109,716 5.84×
      clone
      		 458.03 1,578 3.45×
      context
      		 1,777 10,731 6.04×
      cpu-sched
      		 63.62 521.22 8.19×
      eventfd
      		 71,729 428,372 5.97×
      fault
      		 10,862 65,999 6.08×
      fork
      		 4,814 28,190 5.86×
      getrandom
      		 49,928 268,165 5.37×
      hrtimers
      		 278,231 921,164 3.31×
      mprotect
      		 1,019,460 1,191,836 1.17×
      mtx
      		 38,549,763 557,300,335 14.46×
      munmap
      		 3,288 18,749 5.70×
      null
      		 192,321 1,112,055 5.78×
      pipe
      		 917,543 2,436,221 2.66×
      priv-instr
      		 328,261 2,027,162 6.18×
      resched
      		 1,763,294 906,295 0.51×
      switch
      		 196,490 940,820 4.79×
      timermix
      		 183,432 1,224,280 6.67×
      tlb-shootdown
      		 21,394 41,080 1.92×
      tsc
      		 783,914 6,129,950 7.82×
      usersyscall
      		 237,808 1,459,982 6.14×
      vdso
      		 92,440,626 596,428,487 6.45×
      vfork
      		 41,143 161,081 3.92×
      x86syscall
      		 2,204,059 12,567,167 5.70×
      yield
      		 3,799,338 3,760,559 0.99×
      zero
      		 1,682,272 9,947,938 5.91×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 16,428 70,213 4.27×
      expmath
      		 2,711 17,837 6.58×
      fma
      		 919,394 6,025,195 6.55×
      fp
      		 251.45 1,562 6.21×
      fractal
      		 7.4 50.6 6.84×
      hyperbolic
      		 3,804 22,801 5.99×
      logmath
      		 4,553 26,022 5.72×
      matrix
      		 4,927 23,168 4.70×
      matrix-3d
      		 895.81 2,281 2.55×
      monte-carlo
      		 106.89 603.48 5.65×
      mpfr
      		 1,682 8,684 5.16×
      powmath
      		 1,325 8,599 6.49×
      trig
      		 1,863 11,393 6.11×
      veccmp
      		 19,016 99,256 5.22×
      vecfp
      		 1,809 11,198 6.19×
      vecmath
      		 4,007 25,952 6.48×
      vecshuf
      		 637.83 3,143 4.93×
      vecwide
      		 28,575 152,966 5.35×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 10.4 47.2 4.54×
      bsearch
      		 305.42 1,705 5.58×
      bubblesort
      		 0.8 5.4 6.75×
      fibsearch
      		 378.01 1,823 4.82×
      heapsort
      		 10.8 60.4 5.59×
      hsearch
      		 11,035 47,310 4.29×
      insertionsort
      		 12.8 52.8 4.12×
      malloc
      		 3,881,856 26,776,541 6.90×
      mcontend
      		 269.03 1,593 5.92×
      mergesort
      		 34 202.99 5.97×
      qsort
      		 21.8 125.8 5.77×
      skiplist
      		 7,019 45,321 6.46×
      tree
      		 2 9.6 4.80×
      MemorySingleMultiScaling
      cache
      		 896,522 1,755,335 1.96×
      cachehammer
      		 289,905 2,164,392 7.47×
      cacheline
      		 66.78 608.42 9.11×
      l1cache
      		 288.98 1,148 3.97×
      memcpy
      		 447.38 1,833 4.10×
      memrate
      		 3.71 4.81 1.30×
      memthrash
      		 98.81 410.87 4.16×
      ptr-chase
      		 45,439,984 77,151,718 1.70×
      spinmem
      		 287.79 379.55 1.32×
      stream
      		 136.44 1,616 11.85×
      vm
      		 64,956 291,612 4.49×

      Stress-ng Raw Scores

      Stress-ng Relative Multicore Performance

      Static Web Server

      Redis

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      ecs.g8a.2xlarge FAQs