ecs.g7.4xlarge by Alibaba Cloud

ecs.g7.4xlarge is a ecs.g7 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 0.152 USD per hour.
16 vCPU
64 GiB Memory
Spare SCore
15,482
(All-cores)
1,889
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.g7.4xlarge
Description
ecs.g7 family (16 vCPUs, 64 GiB RAM, 0 GB storage)
Family
ecs.g7
Hw Virt
Status
active
Observed At
2026-11-02T21:57:11.236994

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
- 0.5767 USD/h
Ulanqab (CN) / cn-wulanchabu
- 0.5831 USD/h
Guangzhou (CN) / cn-guangzhou
0.1685 USD/h 0.6479 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.6479 USD/h
Shanghai (CN) / cn-shanghai
- 0.6479 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.6479 USD/h
Virginia (US) / us-east-1
0.152 USD/h 0.691 USD/h
Frankfurt (DE) / eu-central-1
0.2153 USD/h 0.828 USD/h
Tokyo (JP) / ap-northeast-1
0.1965 USD/h 0.893 USD/h
Hong Kong (HK) / cn-hongkong
- 0.9504 USD/h

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
8
CPU Speed
2.7 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
8.2
Scalability
51.25

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

      CPU and System Topology

      Server Description

      A balanced x86_64 virtual instance featuring dedicated Intel Xeon processors and 64 GB of memory for general-purpose enterprise workloads.

      General Purpose

      Alibaba Cloud ecs.g7.4xlarge is a general-purpose instance powered by an Intel Xeon 8369B processor on the x86_64 architecture. Running on the KVM hypervisor, it provides 16 dedicated vCPUs (8 physical cores) and 64.0 GB of RAM, maintaining a balanced 4.0 GB per core ratio. The instance lacks local storage and GPU accelerators, but features a 10 Gbps baseline network bandwidth. Benchmark data indicates average performance across standard compute and memory tasks, with a Passmark CPU score of 21023.63 and a Redis SET throughput of 15.62 million operations per second. While it supports hardware-accelerated cryptography and vector instructions, its performance on larger workloads like 7B LLM prompt processing is limited. It is best suited for balanced workloads such as web serving, application hosting, and moderate 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) 2,144,751 ops/sec 1,918,343 ops/sec 1.1 50.00% 50.00% +4.90%
      Redis RPS (pipeline=16, SET) 10,656,955 ops/sec 11,704,734 ops/sec 0.92 20.00% 20.00% -1.70%
      PassMark Memory Mark (composite) 2,612 2,415 1.1 10.00% 10.00% +0.96%
      Memory bandwidth (read, 16 MB ~ L3) 102,753 MB/sec 108,466 MB/sec 0.91 10.00% 10.00% -0.94%
      PassMark single-thread CPU 2,359 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,541

      Geekbench Multi-Core

      Score: 9,505

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      21,024
      Compression
      246,934
      Encryption
      14,585
      Extended Instructions
      14,033
      Floating Point Maths
      34,380
      Integer Maths
      67,141
      Physics
      2,292
      Prime Numbers
      122
      Single Threaded
      2,359
      String Sorting
      35,031

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      2,612
      Database Operations
      7,892
      Memory Latency
      56
      Memory Read Cached
      24,164
      Memory Read Uncached
      12,110
      Memory Write
      10,779

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      292.56 323.17 1.10×
      bitops
      129,869 1,063,070 8.19×
      branch
      136,969 1,734,837 12.67×
      funccall
      633.98 5,190 8.19×
      funcret
      11,682 137,959 11.81×
      hash
      150,736 1,753,177 11.63×
      intmath
      61,192 598,906 9.79×
      nop
      189,249 1,327,694 7.02×
      prime
      392,661 3,411,464 8.69×
      rotate
      97,633 836,215 8.56×
      str
      898,411 7,598,314 8.46×
      wcs
      614,610 4,332,432 7.05×
      CryptographySingleMultiScaling
      crypt
      2,829 21,066 7.45×
      CompressionSingleMultiScaling
      jpeg
      721.15 7,473 10.36×
      zlib
      58 709.31 12.23×
      HypervisorSingleMultiScaling
      clock
      25,309 244,722 9.67×
      clone
      591.38 3,556 6.01×
      context
      4,824 58,024 12.03×
      cpu-sched
      60.34 994.32 16.48×
      eventfd
      112,360 727,396 6.47×
      fault
      17,874 171,237 9.58×
      fork
      5,761 52,156 9.05×
      getrandom
      50,940 471,702 9.26×
      hrtimers
      211,027 2,079,434 9.85×
      mprotect
      1,167,295 4,247,514 3.64×
      mtx
      12,624,147 552,311,028 43.75×
      munmap
      4,105 40,140 9.78×
      null
      797,062 7,871,414 9.88×
      pipe
      996,554 8,889,598 8.92×
      priv-instr
      825,308 8,255,132 10.00×
      resched
      7,714,633 2,332,596 0.30×
      switch
      206,950 2,939,266 14.20×
      timermix
      345,349 4,797,515 13.89×
      tlb-shootdown
      14,160 37,289 2.63×
      tsc
      766,920 9,085,057 11.85×
      usersyscall
      642,376 6,374,800 9.92×
      vdso
      112,037,188 1,014,380,681 9.05×
      vfork
      43,411 227,569 5.24×
      x86syscall
      9,069,917 98,768,074 10.89×
      yield
      14,896,459 14,084,586 0.95×
      zero
      4,622,364 44,573,661 9.64×
      CPU float/SIMDSingleMultiScaling
      eigen
      14,765 151,969 10.29×
      expmath
      2,877 33,834 11.76×
      fma
      658,973 9,167,277 13.91×
      fp
      172.32 1,653 9.59×
      fractal
      5 59 11.80×
      hyperbolic
      3,064 36,401 11.88×
      logmath
      4,838 56,212 11.62×
      matrix
      3,496 43,624 12.48×
      matrix-3d
      776.42 3,579 4.61×
      monte-carlo
      258.66 2,795 10.81×
      mpfr
      1,407 12,092 8.59×
      powmath
      1,686 20,105 11.93×
      trig
      1,959 19,998 10.21×
      veccmp
      20,170 157,014 7.78×
      vecfp
      1,524 14,930 9.79×
      vecmath
      3,224 37,382 11.60×
      vecshuf
      663.18 5,780 8.72×
      vecwide
      31,819 296,382 9.31×
      AlgorithmsSingleMultiScaling
      bitonicsort
      8 64 8.00×
      bsearch
      248.62 2,693 10.83×
      bubblesort
      1 6.4 6.40×
      fibsearch
      287.47 2,854 9.93×
      heapsort
      9.4 86.6 9.21×
      hsearch
      7,321 65,477 8.94×
      insertionsort
      10.4 51 4.90×
      malloc
      2,494,307 24,837,668 9.96×
      mcontend
      136.87 3,350 24.47×
      mergesort
      26.8 300.39 11.21×
      qsort
      20.6 173.4 8.42×
      skiplist
      5,438 64,614 11.88×
      tree
      1.4 12.79 9.14×
      MemorySingleMultiScaling
      cache
      331,016 508,455 1.54×
      cachehammer
      373,817 5,130,501 13.72×
      cacheline
      62.77 1,055 16.81×
      l1cache
      897.88 3,047 3.39×
      memcpy
      406.19 3,199 7.87×
      memrate
      1.78 9.32 5.24×
      memthrash
      213.11 642.39 3.01×
      ptr-chase
      17,759,891 166,836,598 9.39×
      spinmem
      353.99 1,119 3.16×
      stream
      40.13 4,037 100.59×
      vm
      112,230 294,022 2.62×

      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

      Servers of the Same Family

      INSTANCEvCPUsMEMORYAccelerators
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      ecs.g7.3xlarge 1248 GiB0
      ecs.g7.6xlarge 2496 GiB0
      ecs.g7.8xlarge 32128 GiB0
      ecs.g7.16xlarge 64256 GiB0

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      ecs.g7.4xlarge FAQs