ecs.g7se.4xlarge by Alibaba Cloud

ecs.g7se.4xlarge is a ecs.g7se 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 0.7369 USD per hour.
16 vCPU
64 GiB Memory
Spare SCore
15,529
(All-cores)
1,867
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.g7se.4xlarge
Description
ecs.g7se family (16 vCPUs, 64 GiB RAM, 0 GB storage)
Family
ecs.g7se
Hw Virt
Status
active
Observed At
2026-10-30T08:18:06.527731

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
- 0.7369 USD/h
Beijing (CN) / cn-beijing
- 0.8188 USD/h
Chengdu (CN) / cn-chengdu
- 0.8188 USD/h
Guangzhou (CN) / cn-guangzhou
- 0.8188 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.8188 USD/h
Heyuan (CN) / cn-heyuan
- 0.8188 USD/h
Shanghai (CN) / cn-shanghai
- 0.8188 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.8188 USD/h
Singapore (SG) / ap-southeast-1
- 1.0714 USD/h
Jakarta (ID) / ap-southeast-5
- 1.0714 USD/h
Hong Kong (HK) / cn-hongkong
- 1.093 USD/h

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
8
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
384 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
256 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
10 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
8.3
Scalability
51.88

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

      CPU and System Topology

      Server Description

      A balanced, dedicated Intel Xeon virtual machine offering reliable compute and memory resources for general-purpose enterprise applications.

      General Purpose

      Alibaba Cloud ecs.g7se.4xlarge is a general-purpose instance featuring 16 dedicated vCPUs and 64.0 GB of RAM, powered by an Intel Xeon 8369B processor running at 2.9 GHz. Operating on the KVM hypervisor, this x86_64 architecture instance provides a balanced 4.0 GB of memory per core but lacks local storage and GPU accelerators, relying on a 6 Gbps baseline network bandwidth. Benchmark results indicate steady, mid-range performance, with a PassMark CPU score of 21105.84 and a Redis SET throughput of 15.86 million operations per second. It also exhibits strong text generation capabilities for small language models, reaching 271.33 tokens per second. Lacking local NVMe storage, it trades off local IOPS for predictable, dedicated compute resources. This instance is appropriate for general-purpose enterprise applications, web serving, software compilation, and database operations.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1Score
      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) 2,106,622 ops/sec 1,919,289 ops/sec 1.1 50.00% 50.00% +4.90%
      Redis RPS (pipeline=16, SET) 10,873,861 ops/sec 11,728,058 ops/sec 0.92 20.00% 20.00% -1.70%
      PassMark Memory Mark (composite) 2,652 2,416 1.1 10.00% 10.00% +0.96%
      Memory bandwidth (read, 16 MB ~ L3) 107,404 MB/sec 108,466 MB/sec 1 10.00% 10.00% 0.00%
      PassMark single-thread CPU 2,364 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,585

      Geekbench Multi-Core

      Score: 9,601

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      21,106
      Compression
      246,876
      Encryption
      14,610
      Extended Instructions
      14,097
      Floating Point Maths
      34,447
      Integer Maths
      67,347
      Physics
      2,247
      Prime Numbers
      132
      Single Threaded
      2,364
      String Sorting
      35,009

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      2,652
      Database Operations
      8,004
      Memory Latency
      54
      Memory Read Cached
      24,215
      Memory Read Uncached
      12,123
      Memory Write
      11,174

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      278.15 330.41 1.19×
      bitops
      129,927 1,066,886 8.21×
      branch
      137,299 1,745,688 12.71×
      funccall
      635.18 5,189 8.17×
      funcret
      11,808 139,351 11.80×
      hash
      152,005 1,758,693 11.57×
      intmath
      61,371 604,908 9.86×
      nop
      190,134 1,334,490 7.02×
      prime
      394,584 3,432,033 8.70×
      rotate
      97,875 831,931 8.50×
      str
      867,694 7,624,182 8.79×
      wcs
      593,871 4,331,646 7.29×
      CryptographySingleMultiScaling
      crypt
      2,841 21,119 7.43×
      CompressionSingleMultiScaling
      jpeg
      723.06 7,484 10.35×
      zlib
      45.27 683.8 15.10×
      HypervisorSingleMultiScaling
      clock
      25,613 248,525 9.70×
      clone
      563.08 3,623 6.43×
      context
      4,836 58,170 12.03×
      cpu-sched
      71.79 1,011 14.08×
      eventfd
      114,353 1,373,525 12.01×
      fault
      18,460 167,084 9.05×
      fork
      5,918 54,019 9.13×
      getrandom
      51,116 473,290 9.26×
      hrtimers
      327,772 2,202,656 6.72×
      mprotect
      1,150,768 4,249,369 3.69×
      mtx
      13,286,869 548,637,444 41.29×
      munmap
      4,207 40,846 9.71×
      null
      797,732 7,833,466 9.82×
      pipe
      1,085,518 8,944,145 8.24×
      priv-instr
      826,969 8,120,934 9.82×
      resched
      7,741,132 2,385,456 0.31×
      switch
      196,515 2,837,259 14.44×
      timermix
      347,717 4,818,035 13.86×
      tlb-shootdown
      12,981 37,717 2.91×
      tsc
      768,808 9,111,657 11.85×
      usersyscall
      644,084 6,314,588 9.80×
      vdso
      112,340,086 1,019,514,174 9.08×
      vfork
      46,404 230,423 4.97×
      x86syscall
      9,105,237 99,350,544 10.91×
      yield
      12,467,642 14,996,587 1.20×
      zero
      4,634,400 44,585,857 9.62×
      CPU float/SIMDSingleMultiScaling
      eigen
      14,826 153,305 10.34×
      expmath
      2,887 33,931 11.75×
      fma
      661,147 9,214,450 13.94×
      fp
      186.82 1,628 8.71×
      fractal
      5 59 11.80×
      hyperbolic
      3,072 36,513 11.89×
      logmath
      4,856 56,391 11.61×
      matrix
      3,507 43,298 12.35×
      matrix-3d
      797.31 3,679 4.61×
      monte-carlo
      258.7 2,848 11.01×
      mpfr
      1,412 12,080 8.55×
      powmath
      1,687 20,183 11.96×
      trig
      1,964 20,069 10.22×
      veccmp
      20,304 157,550 7.76×
      vecfp
      1,529 14,944 9.77×
      vecmath
      3,234 37,544 11.61×
      vecshuf
      665.74 5,803 8.72×
      vecwide
      31,648 295,787 9.35×
      AlgorithmsSingleMultiScaling
      bitonicsort
      8 64 8.00×
      bsearch
      249.52 2,720 10.90×
      bubblesort
      1 6.4 6.40×
      fibsearch
      288.22 2,925 10.15×
      heapsort
      9.4 86.6 9.21×
      hsearch
      7,288 65,331 8.96×
      insertionsort
      10.4 51 4.90×
      malloc
      2,657,259 26,352,567 9.92×
      mcontend
      110.7 3,300 29.81×
      mergesort
      26.8 301.19 11.24×
      qsort
      20.8 174.19 8.37×
      skiplist
      5,451 64,564 11.84×
      tree
      1.6 13.19 8.24×
      MemorySingleMultiScaling
      cache
      421,229 668,181 1.59×
      cachehammer
      366,393 5,282,005 14.42×
      cacheline
      65.85 1,076 16.33×
      l1cache
      917.48 3,026 3.30×
      memcpy
      407.94 3,212 7.87×
      memrate
      1.78 11.08 6.22×
      memthrash
      219.44 631.86 2.88×
      ptr-chase
      32,980,808 173,953,448 5.27×
      spinmem
      360.19 1,160 3.22×
      stream
      16.4 1,529 93.20×
      vm
      106,814 293,969 2.75×

      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.4xlarge FAQs