ecs.g7se.8xlarge by Alibaba Cloud

ecs.g7se.8xlarge is a ecs.g7se family (32 vCPUs, 128 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 32 vCPUs, 128 GiB of memory and 0 GB of storage. The pricing starts at 1.4738 USD per hour.
32 vCPU
128 GiB Memory
Spare SCore
31,061
(All-cores)
1,857
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.g7se.8xlarge
Description
ecs.g7se family (32 vCPUs, 128 GiB RAM, 0 GB storage)
Family
ecs.g7se
Hw Virt
Status
active
Observed At
2026-10-29T02:39:22.934476

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
- 1.4738 USD/h
Beijing (CN) / cn-beijing
- 1.6375 USD/h
Chengdu (CN) / cn-chengdu
- 1.6375 USD/h
Guangzhou (CN) / cn-guangzhou
- 1.6375 USD/h
Hangzhou (CN) / cn-hangzhou
- 1.6375 USD/h
Heyuan (CN) / cn-heyuan
- 1.6375 USD/h
Shanghai (CN) / cn-shanghai
- 1.6375 USD/h
Shenzhen (CN) / cn-shenzhen
- 1.6375 USD/h
Jakarta (ID) / ap-southeast-5
- 2.1428 USD/h
Hong Kong (HK) / cn-hongkong
- 2.1859 USD/h

Processor

vCPUs
32
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
16
CPU Speed
2.9 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8369B
CPU L1D Cache
48 KiB
CPU L1D Cache Total
768 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
512 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
20 MiB
CPU L3 Cache
48 MiB
CPU L3 Cache Total
48 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, 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, abm, 3dnowprefetch, cpuid_fault, ibrs_enhanced, 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, wbnoinvd, arat, avx512vbmi, pku, ospke, avx512_vbmi2, gfni, vaes, vpclmulqdq, avx512_vnni, avx512_bitalg, avx512_vpopcntdq, rdpid, fsrm, arch_capabilities
Ecpus
16.7
Scalability
52.19

System Resources and Accelerators

MEMORY
Memory Amount
128 GiB
Memory Amount Actual
128 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
      10 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 featuring dedicated Intel Xeon processors and strong memory performance for enterprise workloads.

      General Purpose

      Alibaba Cloud ecs.g7se.8xlarge is a general-purpose instance featuring 32 dedicated vCPUs and 128.0 GB of RAM, powered by an Intel Xeon 8369B processor running at 2.9 GHz. Operating on the KVM hypervisor, this x86_64 server provides a balanced 1:4 vCPU-to-memory ratio but lacks local storage and GPU accelerators, relying on a 10 Gbps baseline network. Performance benchmarks indicate average CPU capabilities, highlighted by a Passmark CPU score of 36,697.24, alongside strong memory performance with a Passmark memory score in the top 25%. The instance excels in small-model LLM text generation, reaching 301.47 tokens per second. It is optimized for general-purpose enterprise workloads, including static web serving, database operations, and software compilation, offering a reliable balance of compute and memory without the overhead of local NVMe storage.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.8Score
      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) 4,158,332 ops/sec 1,919,289 ops/sec 2.2 50.00% 50.00% +48.00%
      Redis RPS (pipeline=16, SET) 21,012,486 ops/sec 11,728,058 ops/sec 1.8 20.00% 20.00% +12.00%
      PassMark Memory Mark (composite) 2,778 2,416 1.2 10.00% 10.00% +1.80%
      Memory bandwidth (read, 16 MB ~ L3) 153,708 MB/sec 108,466 MB/sec 1.4 10.00% 10.00% +3.40%
      PassMark single-thread CPU 2,366 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,560

      Geekbench Multi-Core

      Score: 13,323

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      36,697
      Compression
      490,572
      Encryption
      29,253
      Extended Instructions
      28,297
      Floating Point Maths
      68,905
      Integer Maths
      134,775
      Physics
      3,396
      Prime Numbers
      189
      Single Threaded
      2,366
      String Sorting
      68,971

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      2,778
      Database Operations
      15,212
      Memory Latency
      52
      Memory Read Cached
      24,122
      Memory Read Uncached
      11,997
      Memory Write
      11,232

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      279.5 312.1 1.12×
      bitops
      129,955 2,131,311 16.40×
      branch
      137,299 3,487,389 25.40×
      funccall
      633.84 10,407 16.42×
      funcret
      11,855 267,864 22.59×
      hash
      151,083 3,515,845 23.27×
      intmath
      61,266 1,208,670 19.73×
      nop
      189,440 2,660,189 14.04×
      prime
      393,523 6,834,284 17.37×
      rotate
      97,754 1,662,399 17.01×
      str
      821,658 15,216,083 18.52×
      wcs
      615,896 8,681,862 14.10×
      CryptographySingleMultiScaling
      crypt
      2,834 42,187 14.89×
      CompressionSingleMultiScaling
      jpeg
      698.27 14,791 21.18×
      zlib
      52.25 1,382 26.44×
      HypervisorSingleMultiScaling
      clock
      24,719 364,605 14.75×
      clone
      566.59 6,426 11.34×
      context
      4,830 116,489 24.12×
      cpu-sched
      66.51 2,081 31.29×
      eventfd
      115,256 1,271,465 11.03×
      fault
      18,423 268,810 14.59×
      fork
      5,636 91,515 16.24×
      getrandom
      51,064 946,101 18.53×
      hrtimers
      122,347 2,987,909 24.42×
      mprotect
      1,152,896 8,295,376 7.20×
      mtx
      12,677,982 1,061,721,035 83.75×
      munmap
      4,014 67,894 16.91×
      null
      794,449 15,794,205 19.88×
      pipe
      1,119,739 15,754,589 14.07×
      priv-instr
      823,956 14,852,467 18.03×
      resched
      14,587,304 5,053,045 0.35×
      switch
      193,373 3,418,571 17.68×
      timermix
      362,941 9,628,262 26.53×
      tlb-shootdown
      12,073 62,446 5.17×
      tsc
      769,112 18,221,096 23.69×
      usersyscall
      639,381 12,292,380 19.23×
      vdso
      112,382,842 2,037,081,217 18.13×
      vfork
      42,202 205,220 4.86×
      x86syscall
      9,086,099 198,917,360 21.89×
      yield
      25,977,469 32,459,826 1.25×
      zero
      4,627,734 86,419,091 18.67×
      CPU float/SIMDSingleMultiScaling
      eigen
      14,778 309,755 20.96×
      expmath
      2,882 67,826 23.53×
      fma
      659,934 18,391,426 27.87×
      fp
      200.41 3,273 16.33×
      fractal
      5 118.01 23.60×
      hyperbolic
      3,065 72,937 23.80×
      logmath
      4,849 112,650 23.23×
      matrix
      3,498 83,545 23.88×
      matrix-3d
      761.88 5,226 6.86×
      monte-carlo
      258.71 5,551 21.46×
      mpfr
      1,409 24,134 17.13×
      powmath
      1,687 40,312 23.89×
      trig
      1,962 40,110 20.45×
      veccmp
      20,215 314,965 15.58×
      vecfp
      1,529 29,887 19.55×
      vecmath
      3,232 75,057 23.22×
      vecshuf
      665.46 11,593 17.42×
      vecwide
      31,881 589,579 18.49×
      AlgorithmsSingleMultiScaling
      bitonicsort
      8 128.2 16.02×
      bsearch
      249 5,395 21.67×
      bubblesort
      1 12.8 12.80×
      fibsearch
      288.47 5,743 19.91×
      heapsort
      9.4 173 18.40×
      hsearch
      7,321 130,411 17.81×
      insertionsort
      10.4 102.2 9.83×
      malloc
      2,612,472 36,349,914 13.91×
      mcontend
      109.26 6,803 62.27×
      mergesort
      26.8 596.38 22.25×
      qsort
      20.8 346.79 16.67×
      skiplist
      5,416 129,626 23.93×
      tree
      1.6 21.98 13.74×
      MemorySingleMultiScaling
      cache
      407,826 706,152 1.73×
      cachehammer
      372,335 9,587,346 25.75×
      cacheline
      55.35 3,616 65.33×
      l1cache
      899.31 6,089 6.77×
      memcpy
      405.88 6,421 15.82×
      memrate
      1.78 12.17 6.84×
      memthrash
      260.9 1,035 3.97×
      ptr-chase
      30,948,328 315,142,090 10.18×
      spinmem
      357.79 2,061 5.76×
      stream
      41.29 10,495 254.18×
      vm
      115,371 297,437 2.58×

      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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