ecs.g7a.2xlarge by Alibaba Cloud

ecs.g7a.2xlarge is a ecs.g7a 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 0.0544 USD per hour.
8 vCPU
32 GiB Memory
Spare SCore
10,782
(All-cores)
2,696
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.g7a.2xlarge
Description
ecs.g7a family (8 vCPUs, 32 GiB RAM, 0 GB storage)
Family
ecs.g7a
Hw Virt
Status
active
Observed At
2026-10-25T23:55:50.590666

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
- 0.245 USD/h
Chengdu (CN) / cn-chengdu
0.0544 USD/h 0.272 USD/h
Hangzhou (CN) / cn-hangzhou
0.0544 USD/h 0.272 USD/h
Shanghai (CN) / cn-shanghai
0.0544 USD/h 0.272 USD/h
Beijing (CN) / cn-beijing
- 0.272 USD/h
Guangzhou (CN) / cn-guangzhou
- 0.272 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.272 USD/h
Virginia (US) / us-east-1
0.0807 USD/h 0.3102 USD/h
Frankfurt (DE) / eu-central-1
0.086 USD/h 0.391 USD/h
Jakarta (ID) / ap-southeast-5
0.0882 USD/h 0.401 USD/h
Tokyo (JP) / ap-northeast-1
0.0898 USD/h 0.408 USD/h
Hong Kong (HK) / cn-hongkong
0.1061 USD/h 0.408 USD/h
Singapore (SG) / ap-southeast-1
- 0.408 USD/h

Processor

vCPUs
8
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
4
CPU Speed
2.55 GHz
CPU Architecture
x86_64
CPU Manufacturer
AMD
CPU Family
EPYC
CPU Model
7T83
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
512 KiB
CPU L2 Cache Total
2 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, 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, cr8_legacy, abm, sse4a, misalignsse, 3dnowprefetch, osvw, topoext, ssbd, ibrs, ibpb, stibp, vmmcall, tsc_adjust, bmi1, avx2, smep, bmi2, erms, invpcid, rdseed, adx, smap, clflushopt, clwb, sha_ni, xsaveopt, xsavec, xgetbv1, xsaves, clzero, xsaveerptr, wbnoinvd, arat, vaes, vpclmulqdq, 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
      2.5 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A balanced general-purpose virtual server offering dedicated AMD EPYC processing and steady performance for standard enterprise workloads.

      General Purpose

      Alibaba Cloud ecs.g7a.2xlarge is a general-purpose instance powered by an AMD EPYC 7T83 processor with 8 dedicated vCPUs and 32.0 GB of RAM. Operating on the KVM hypervisor, this x86_64 server features a 1:4 vCPU-to-RAM ratio, 32 MB of L3 cache, and a baseline network bandwidth of 2 Gbps. It does not include local storage or GPU accelerators. Benchmark data shows strong single-core CPU performance, though multi-core execution and general memory bandwidth remain in the average tier. Uncached large-block memory read and write speeds represent a notable performance bottleneck, scoring in the bottom 25%. This instance provides a cost-effective, balanced hardware profile for standard workloads. It is highly suitable for general-purpose applications, including static web serving, database operations, and moderate caching tasks.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.43Score
      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) 592,847 ops/sec 1,919,289 ops/sec 0.31 50.00% 50.00% -44.00%
      Redis RPS (pipeline=16, SET) 4,656,350 ops/sec 11,728,058 ops/sec 0.39 20.00% 20.00% -17.00%
      PassMark Memory Mark (composite) 2,585 2,416 1.1 10.00% 10.00% +0.96%
      Memory bandwidth (read, 16 MB ~ L3) 50,982 MB/sec 108,466 MB/sec 0.46 10.00% 10.00% -7.50%
      PassMark single-thread CPU 2,388 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,535

      Geekbench Multi-Core

      Score: 5,877

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      11,840
      Compression
      127,918
      Encryption
      8,617
      Extended Instructions
      7,368
      Floating Point Maths
      18,375
      Integer Maths
      33,214
      Physics
      1,294
      Prime Numbers
      72
      Single Threaded
      2,388
      String Sorting
      18,099

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      2,585
      Database Operations
      3,588
      Memory Latency
      57
      Memory Read Cached
      23,789
      Memory Read Uncached
      17,700
      Memory Write
      15,433

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      249.83 239.17 0.96×
      bitops
      141,167 653,609 4.63×
      branch
      164,112 1,207,669 7.36×
      funccall
      541.74 2,800 5.17×
      funcret
      16,860 87,220 5.17×
      hash
      136,674 834,796 6.11×
      intmath
      58,354 315,143 5.40×
      nop
      283,115 1,140,602 4.03×
      prime
      394,286 1,938,556 4.92×
      rotate
      77,054 309,004 4.01×
      str
      868,940 4,098,421 4.72×
      wcs
      555,844 2,598,772 4.68×
      CryptographySingleMultiScaling
      crypt
      3,165 12,737 4.02×
      CompressionSingleMultiScaling
      jpeg
      724.24 4,013 5.54×
      zlib
      42.22 361.78 8.57×
      HypervisorSingleMultiScaling
      clock
      23,525 129,895 5.52×
      clone
      414.4 1,304 3.15×
      context
      3,159 21,074 6.67×
      cpu-sched
      66.35 526.25 7.93×
      eventfd
      64,263 405,994 6.32×
      fault
      7,732 52,235 6.76×
      fork
      4,157 24,628 5.92×
      getrandom
      45,327 229,584 5.07×
      hrtimers
      278,996 806,672 2.89×
      mprotect
      964,271 1,347,000 1.40×
      mtx
      30,109,662 439,841,170 14.61×
      munmap
      2,737 16,110 5.89×
      null
      407,637 2,598,235 6.37×
      pipe
      1,502,313 2,580,711 1.72×
      priv-instr
      412,675 2,648,797 6.42×
      resched
      1,965,572 699,910 0.36×
      switch
      139,479 799,054 5.73×
      timermix
      248,947 1,490,714 5.99×
      tlb-shootdown
      16,958 33,180 1.96×
      tsc
      668,970 5,145,540 7.69×
      usersyscall
      294,783 1,892,875 6.42×
      vdso
      77,272,718 523,320,848 6.77×
      vfork
      29,849 120,595 4.04×
      x86syscall
      4,870,254 31,083,538 6.38×
      yield
      3,822,694 3,813,645 1.00×
      zero
      2,786,891 16,758,599 6.01×
      CPU float/SIMDSingleMultiScaling
      eigen
      14,014 57,002 4.07×
      expmath
      2,068 13,865 6.71×
      fma
      779,669 4,939,545 6.34×
      fp
      227.91 1,307 5.74×
      fractal
      6.8 44.8 6.59×
      hyperbolic
      2,842 20,041 7.05×
      logmath
      3,874 22,268 5.75×
      matrix
      2,712 16,098 5.94×
      matrix-3d
      766.47 1,422 1.86×
      monte-carlo
      182.56 1,120 6.13×
      mpfr
      1,399 6,817 4.87×
      powmath
      1,169 7,687 6.58×
      trig
      1,489 9,241 6.21×
      veccmp
      16,002 84,369 5.27×
      vecfp
      1,479 8,141 5.50×
      vecmath
      3,420 22,106 6.46×
      vecshuf
      532.85 2,488 4.67×
      vecwide
      23,686 120,195 5.07×
      AlgorithmsSingleMultiScaling
      bitonicsort
      8.6 36.8 4.28×
      bsearch
      263.52 1,402 5.32×
      bubblesort
      0.8 4.8 6.00×
      fibsearch
      320.57 1,516 4.73×
      heapsort
      9.4 46.2 4.91×
      hsearch
      7,497 35,396 4.72×
      insertionsort
      11.6 46.4 4.00×
      malloc
      3,183,316 21,978,011 6.90×
      mcontend
      257.01 1,520 5.92×
      mergesort
      27.4 161 5.88×
      qsort
      19 101.6 5.35×
      skiplist
      6,138 38,040 6.20×
      tree
      1.6 8 5.00×
      MemorySingleMultiScaling
      cache
      659,431 1,158,751 1.76×
      cachehammer
      304,585 2,191,527 7.20×
      cacheline
      36.51 294.87 8.08×
      l1cache
      150.56 622.59 4.14×
      memcpy
      365.77 1,398 3.82×
      memrate
      2.54 4.63 1.82×
      memthrash
      122.9 293.44 2.39×
      ptr-chase
      39,864,083 79,330,280 1.99×
      spinmem
      363.22 534.35 1.47×
      stream
      96.9 1,060 10.94×
      vm
      59,728 291,543 4.88×

      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

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      ecs.g7a.2xlarge FAQs