ecs.g7se.2xlarge by Alibaba Cloud

ecs.g7se.2xlarge is a ecs.g7se 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 0.1597 USD per hour.
8 vCPU
32 GiB Memory
Spare SCore
7,750
(All-cores)
1,858
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.g7se.2xlarge
Description
ecs.g7se family (8 vCPUs, 32 GiB RAM, 0 GB storage)
Family
ecs.g7se
Hw Virt
Status
active
Observed At
2026-10-29T09:57:34.529956

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
- 0.3684 USD/h
Chengdu (CN) / cn-chengdu
0.1597 USD/h 0.4094 USD/h
Shanghai (CN) / cn-shanghai
0.1719 USD/h 0.4094 USD/h
Beijing (CN) / cn-beijing
- 0.4094 USD/h
Guangzhou (CN) / cn-guangzhou
- 0.4094 USD/h
Heyuan (CN) / cn-heyuan
- 0.4094 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.4094 USD/h
Singapore (SG) / ap-southeast-1
- 0.5357 USD/h
Jakarta (ID) / ap-southeast-5
- 0.5357 USD/h
Hong Kong (HK) / cn-hongkong
- 0.5465 USD/h

Processor

vCPUs
8
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
4
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
192 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
128 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
5 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
4.2
Scalability
52.5

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

      CPU and System Topology

      Server Description

      A balanced x86_64 compute instance featuring dedicated Intel Xeon processors and proportional memory for reliable general-purpose enterprise workloads.

      General Purpose

      Alibaba Cloud ecs.g7se.2xlarge is an x86_64 general-purpose instance configured with 8 dedicated vCPUs and 32.0 GB of system memory. Powered by an Intel Xeon 8369B processor running at 2.9 GHz, it features 4 physical cores with hyper-threading. The instance does not include local SSD storage or GPU accelerators, relying on a 3 Gbps baseline network bandwidth. Benchmark data indicates average performance across standard compute and memory tasks, with a Geekbench multi-core score of 5658.0 and a static web serving throughput of 11.25 GB/sec. While it exhibits weak performance on medium-sized language model inference due to the lack of hardware acceleration, it delivers reliable, balanced throughput for standard enterprise workloads. It is highly suitable for web serving, software compilation, database operations, and general-purpose application hosting.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.58Score
      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) 1,038,006 ops/sec 1,919,289 ops/sec 0.53 50.00% 50.00% -27.00%
      Redis RPS (pipeline=16, SET) 5,362,594 ops/sec 11,728,058 ops/sec 0.45 20.00% 20.00% -15.00%
      PassMark Memory Mark (composite) 2,293 2,416 0.96 10.00% 10.00% -0.41%
      Memory bandwidth (read, 16 MB ~ L3) 63,460 MB/sec 108,466 MB/sec 0.57 10.00% 10.00% -5.50%
      PassMark single-thread CPU 2,361 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,517

      Geekbench Multi-Core

      Score: 5,658

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      11,331
      Compression
      124,569
      Encryption
      7,302
      Extended Instructions
      6,971
      Floating Point Maths
      17,204
      Integer Maths
      33,637
      Physics
      1,313
      Prime Numbers
      71
      Single Threaded
      2,361
      String Sorting
      17,563

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      2,293
      Database Operations
      3,876
      Memory Latency
      57
      Memory Read Cached
      24,231
      Memory Read Uncached
      10,506
      Memory Write
      9,596

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      252 328.33 1.30×
      bitops
      130,110 532,182 4.09×
      branch
      137,311 869,550 6.33×
      funccall
      635.58 2,603 4.10×
      funcret
      11,635 68,899 5.92×
      hash
      151,812 875,756 5.77×
      intmath
      61,334 301,876 4.92×
      nop
      190,007 665,819 3.50×
      prime
      394,145 1,714,397 4.35×
      rotate
      97,847 417,021 4.26×
      str
      866,828 3,794,968 4.38×
      wcs
      616,709 2,119,054 3.44×
      CryptographySingleMultiScaling
      crypt
      2,838 10,527 3.71×
      CompressionSingleMultiScaling
      jpeg
      725.76 3,754 5.17×
      zlib
      53.86 334.39 6.21×
      HypervisorSingleMultiScaling
      clock
      25,609 147,720 5.77×
      clone
      561.25 1,745 3.11×
      context
      4,837 28,993 5.99×
      cpu-sched
      60.32 529.7 8.78×
      eventfd
      112,617 695,789 6.18×
      fault
      17,937 86,304 4.81×
      fork
      5,702 32,193 5.65×
      getrandom
      51,148 236,138 4.62×
      hrtimers
      167,617 1,304,438 7.78×
      mprotect
      1,082,013 2,126,784 1.97×
      mtx
      8,261,799 263,250,726 31.86×
      munmap
      3,999 21,142 5.29×
      null
      799,686 3,923,241 4.91×
      pipe
      1,056,040 4,551,071 4.31×
      priv-instr
      827,205 4,068,107 4.92×
      resched
      3,381,702 1,179,712 0.35×
      switch
      198,474 1,437,041 7.24×
      timermix
      346,770 2,414,123 6.96×
      tlb-shootdown
      15,118 22,963 1.52×
      tsc
      768,925 4,547,228 5.91×
      usersyscall
      642,516 3,176,106 4.94×
      vdso
      112,294,180 507,572,285 4.52×
      vfork
      44,239 151,873 3.43×
      x86syscall
      9,093,599 49,635,862 5.46×
      yield
      6,307,513 6,574,993 1.04×
      zero
      4,626,867 22,146,583 4.79×
      CPU float/SIMDSingleMultiScaling
      eigen
      14,806 75,995 5.13×
      expmath
      2,890 16,941 5.86×
      fma
      660,573 4,595,586 6.96×
      fp
      178.9 814.74 4.55×
      fractal
      5 29.6 5.92×
      hyperbolic
      3,068 18,211 5.94×
      logmath
      4,852 28,120 5.80×
      matrix
      3,524 21,291 6.04×
      matrix-3d
      758.46 2,186 2.88×
      monte-carlo
      258.77 1,417 5.47×
      mpfr
      1,406 6,035 4.29×
      powmath
      1,687 10,041 5.95×
      trig
      1,964 10,016 5.10×
      veccmp
      20,229 78,611 3.89×
      vecfp
      1,527 7,506 4.91×
      vecmath
      3,230 18,713 5.79×
      vecshuf
      664.92 2,898 4.36×
      vecwide
      31,909 147,542 4.62×
      AlgorithmsSingleMultiScaling
      bitonicsort
      8 32.2 4.03×
      bsearch
      249.31 1,322 5.30×
      bubblesort
      1 3.2 3.20×
      fibsearch
      288.54 1,436 4.98×
      heapsort
      9.4 43.4 4.62×
      hsearch
      7,328 32,639 4.45×
      insertionsort
      10.4 25.4 2.44×
      malloc
      2,359,898 15,713,306 6.66×
      mcontend
      160.44 1,630 10.16×
      mergesort
      26.8 150.6 5.62×
      qsort
      20.8 87 4.18×
      skiplist
      5,446 32,383 5.95×
      tree
      1.4 6.4 4.57×
      MemorySingleMultiScaling
      cache
      329,613 452,456 1.37×
      cachehammer
      360,543 2,668,621 7.40×
      cacheline
      55.36 473.63 8.56×
      l1cache
      900.7 1,532 1.70×
      memcpy
      406.68 1,602 3.94×
      memrate
      1.58 6.24 3.95×
      memthrash
      186.38 331.8 1.78×
      ptr-chase
      13,745,135 82,446,150 6.00×
      spinmem
      353.59 469.76 1.33×
      stream
      38.09 1,295 34.00×
      vm
      96,436 291,994 3.03×

      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

      Alternatives

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      ecs.g7se.16xlarge 64256 GiB0

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      ecs.g7se.2xlarge FAQs