ecs.g7.2xlarge by Alibaba Cloud

ecs.g7.2xlarge is a ecs.g7 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 0.0761 USD per hour.
8 vCPU
32 GiB Memory
Spare SCore
7,764
(All-cores)
1,841
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.g7.2xlarge
Description
ecs.g7 family (8 vCPUs, 32 GiB RAM, 0 GB storage)
Family
ecs.g7
Hw Virt
Status
active
Observed At
2026-10-25T01:16:02.663254

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
- 0.2883 USD/h
Ulanqab (CN) / cn-wulanchabu
- 0.2916 USD/h
Guangzhou (CN) / cn-guangzhou
- 0.3239 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.3239 USD/h
Shanghai (CN) / cn-shanghai
- 0.3239 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.3239 USD/h
Virginia (US) / us-east-1
0.0761 USD/h 0.346 USD/h
Frankfurt (DE) / eu-central-1
0.0787 USD/h 0.414 USD/h
Tokyo (JP) / ap-northeast-1
0.0847 USD/h 0.446 USD/h
Hong Kong (HK) / cn-hongkong
0.0903 USD/h 0.4752 USD/h

Processor

vCPUs
8
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
4
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
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
      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 machine offering dedicated Intel Xeon processing and steady memory performance for standard enterprise applications.

      General Purpose

      Alibaba Cloud ecs.g7.2xlarge is a general-purpose instance powered by an Intel Xeon 8369B processor with 8 dedicated vCPUs (4 physical cores) and 32.0 GB of RAM. Operating at 2.7 GHz, the x86_64 architecture supports AVX-512 instructions and features a 48 MB L3 cache. The instance lacks local storage and GPU accelerators, relying on network-attached storage and a baseline network bandwidth of 5 Gbps. Benchmark results place this instance in the average performance tier, with a Geekbench multi-core score of 6005.0 and a Redis SET throughput of 7.99 million operations per second. While it handles small-scale language model inference, performance drops significantly on larger models. This instance represents a balanced, cost-efficient option for standard enterprise workloads, including static web serving, software compilation, database operations, and general-purpose application hosting.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.62Score
      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) 1,052,598 ops/sec 1,919,289 ops/sec 0.58 50.00% 50.00% -24.00%
      Redis RPS (pipeline=16, SET) 5,630,268 ops/sec 11,728,058 ops/sec 0.47 20.00% 20.00% -14.00%
      PassMark Memory Mark (composite) 2,439 2,416 1 10.00% 10.00% 0.00%
      Memory bandwidth (read, 16 MB ~ L3) 63,392 MB/sec 108,466 MB/sec 0.57 10.00% 10.00% -5.50%
      PassMark single-thread CPU 2,370 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,615

      Geekbench Multi-Core

      Score: 6,005

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      11,391
      Compression
      124,561
      Encryption
      7,272
      Extended Instructions
      6,996
      Floating Point Maths
      17,219
      Integer Maths
      33,664
      Physics
      1,411
      Prime Numbers
      74
      Single Threaded
      2,370
      String Sorting
      17,669

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      2,439
      Database Operations
      4,039
      Memory Latency
      56
      Memory Read Cached
      23,982
      Memory Read Uncached
      11,784
      Memory Write
      11,200

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      283.96 298.11 1.05×
      bitops
      130,369 532,819 4.09×
      branch
      137,421 872,504 6.35×
      funccall
      636.59 2,610 4.10×
      funcret
      12,059 70,014 5.81×
      hash
      151,155 879,462 5.82×
      intmath
      61,298 300,808 4.91×
      nop
      189,840 665,234 3.50×
      prime
      394,684 1,706,442 4.32×
      rotate
      97,922 416,460 4.25×
      str
      866,896 3,701,640 4.27×
      wcs
      612,726 2,129,648 3.48×
      CryptographySingleMultiScaling
      crypt
      2,836 10,551 3.72×
      CompressionSingleMultiScaling
      jpeg
      727.93 3,755 5.16×
      zlib
      57.89 343.92 5.94×
      HypervisorSingleMultiScaling
      clock
      25,934 148,698 5.73×
      clone
      667.23 1,882 2.82×
      context
      4,843 29,111 6.01×
      cpu-sched
      59.59 527.26 8.85×
      eventfd
      112,940 699,747 6.20×
      fault
      18,485 87,925 4.76×
      fork
      6,087 32,763 5.38×
      getrandom
      51,179 236,485 4.62×
      hrtimers
      151,145 1,149,993 7.61×
      mprotect
      1,061,381 2,133,521 2.01×
      mtx
      15,742,733 274,545,494 17.44×
      munmap
      4,294 21,263 4.95×
      null
      799,787 3,941,933 4.93×
      pipe
      1,072,337 4,580,114 4.27×
      priv-instr
      826,804 4,083,373 4.94×
      resched
      3,374,950 1,201,577 0.36×
      switch
      216,582 1,402,136 6.47×
      timermix
      347,066 2,395,853 6.90×
      tlb-shootdown
      13,908 22,298 1.60×
      tsc
      769,330 4,553,455 5.92×
      usersyscall
      640,950 3,158,557 4.93×
      vdso
      112,424,878 509,562,147 4.53×
      vfork
      47,101 163,249 3.47×
      x86syscall
      9,090,092 49,745,296 5.47×
      yield
      6,386,396 6,735,486 1.05×
      zero
      4,630,138 21,782,068 4.70×
      CPU float/SIMDSingleMultiScaling
      eigen
      14,826 77,002 5.19×
      expmath
      2,886 16,976 5.88×
      fma
      660,606 4,603,563 6.97×
      fp
      171.68 837.18 4.88×
      fractal
      5 29.6 5.92×
      hyperbolic
      3,034 18,245 6.01×
      logmath
      4,859 28,154 5.79×
      matrix
      3,520 22,206 6.31×
      matrix-3d
      805.17 2,170 2.69×
      monte-carlo
      258.79 1,400 5.41×
      mpfr
      1,411 6,045 4.28×
      powmath
      1,688 10,084 5.97×
      trig
      1,962 10,031 5.11×
      veccmp
      20,305 78,702 3.88×
      vecfp
      1,529 7,482 4.89×
      vecmath
      3,234 18,753 5.80×
      vecshuf
      666.07 2,901 4.35×
      vecwide
      31,902 147,904 4.64×
      AlgorithmsSingleMultiScaling
      bitonicsort
      8 32 4.00×
      bsearch
      249.66 1,341 5.37×
      bubblesort
      1 3.2 3.20×
      fibsearch
      289.18 1,436 4.96×
      heapsort
      9.4 43.4 4.62×
      hsearch
      7,329 32,646 4.45×
      insertionsort
      10.4 25.4 2.44×
      malloc
      2,657,686 17,245,806 6.49×
      mcontend
      160.83 1,637 10.18×
      mergesort
      26.8 150.6 5.62×
      qsort
      20.6 87.6 4.25×
      skiplist
      5,464 32,349 5.92×
      tree
      1.6 8 5.00×
      MemorySingleMultiScaling
      cache
      448,883 563,598 1.26×
      cachehammer
      380,847 2,723,043 7.15×
      cacheline
      63.35 453.08 7.15×
      l1cache
      901 1,535 1.70×
      memcpy
      407.29 1,605 3.94×
      memrate
      1.77 6.25 3.53×
      memthrash
      203.61 348.52 1.71×
      ptr-chase
      34,798,089 103,324,878 2.97×
      spinmem
      354.79 549.54 1.55×
      stream
      43.86 1,354 30.87×
      vm
      116,437 292,085 2.51×

      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
      ecs.g7.large 28 GiB0
      ecs.g7.xlarge 416 GiB0
      ecs.g7.3xlarge 1248 GiB0
      ecs.g7.4xlarge 1664 GiB0
      ecs.g7.6xlarge 2496 GiB0
      ecs.g7.8xlarge 32128 GiB0
      ecs.g7.16xlarge 64256 GiB0

      Similar Servers

      INSTANCEVENDORvCPUsMEMORYAccelerators

      ecs.g7.2xlarge FAQs