ecs.g7.8xlarge by Alibaba Cloud

ecs.g7.8xlarge is a ecs.g7 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 0.2851 USD per hour.
32 vCPU
128 GiB Memory
Spare SCore
31,014
(All-cores)
1,830
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.g7.8xlarge
Description
ecs.g7 family (32 vCPUs, 128 GiB RAM, 0 GB storage)
Family
ecs.g7
Hw Virt
Status
active
Observed At
2026-10-29T09:57:34.524571

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
- 1.1534 USD/h
Ulanqab (CN) / cn-wulanchabu
0.3032 USD/h 1.1662 USD/h
Guangzhou (CN) / cn-guangzhou
0.2851 USD/h 1.2958 USD/h
Shanghai (CN) / cn-shanghai
0.3369 USD/h 1.2958 USD/h
Hangzhou (CN) / cn-hangzhou
- 1.2958 USD/h
Shenzhen (CN) / cn-shenzhen
- 1.2958 USD/h
Virginia (US) / us-east-1
0.304 USD/h 1.382 USD/h
Frankfurt (DE) / eu-central-1
0.4306 USD/h 1.656 USD/h
Tokyo (JP) / ap-northeast-1
0.3393 USD/h 1.786 USD/h
Hong Kong (HK) / cn-hongkong
0.4942 USD/h 1.9008 USD/h

Processor

vCPUs
32
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
16
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
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
16.9
Scalability
52.81

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

      CPU and System Topology

      Server Description

      A balanced general-purpose instance featuring dedicated Intel Xeon processors and strong memory performance for enterprise workloads and database operations.

      General Purpose

      Alibaba Cloud ecs.g7.8xlarge is a general-purpose instance featuring 32 dedicated vCPUs and 128.0 GB of RAM, powered by an Intel Xeon 8369B processor at 2.7 GHz. Built on the x86_64 architecture and managed via the KVM hypervisor, it provides a balanced 4.0 GB of memory per core but includes no local storage. Performance benchmarks indicate average compute capabilities, highlighted by a stress-ng multi-core score of 31013.7 and a strong Passmark memory score. The processor supports AVX-512 and SHA-NI instructions, enhancing cryptographic and vector processing. With a baseline network bandwidth of 16 Gbps, this instance is optimized for balanced workloads such as web serving, database operations, software compilation, and small-scale language model inference.

      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) 4,212,541 ops/sec 1,919,289 ops/sec 2.2 50.00% 50.00% +48.00%
      Redis RPS (pipeline=16, SET) 21,124,678 ops/sec 11,728,058 ops/sec 1.8 20.00% 20.00% +12.00%
      PassMark Memory Mark (composite) 2,775 2,416 1.2 10.00% 10.00% +1.80%
      Memory bandwidth (read, 16 MB ~ L3) 160,183 MB/sec 108,466 MB/sec 1.5 10.00% 10.00% +4.10%
      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: 1,571

      Geekbench Multi-Core

      Score: 13,329

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      36,599
      Compression
      489,793
      Encryption
      29,164
      Extended Instructions
      28,292
      Floating Point Maths
      68,782
      Integer Maths
      134,372
      Physics
      3,363
      Prime Numbers
      186
      Single Threaded
      2,359
      String Sorting
      68,992

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      2,775
      Database Operations
      15,091
      Memory Latency
      52
      Memory Read Cached
      24,123
      Memory Read Uncached
      11,866
      Memory Write
      10,975

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      272.12 303.91 1.12×
      bitops
      129,850 2,128,353 16.39×
      branch
      136,941 3,480,864 25.42×
      funccall
      633.77 10,375 16.37×
      funcret
      11,719 273,960 23.38×
      hash
      151,438 3,508,221 23.17×
      intmath
      61,172 1,201,834 19.65×
      nop
      189,551 2,662,575 14.05×
      prime
      391,622 6,840,705 17.47×
      rotate
      97,630 1,671,535 17.12×
      str
      867,260 15,211,333 17.54×
      wcs
      603,254 8,470,877 14.04×
      CryptographySingleMultiScaling
      crypt
      2,815 42,206 15.00×
      CompressionSingleMultiScaling
      jpeg
      702.75 14,912 21.22×
      zlib
      67.57 1,431 21.18×
      HypervisorSingleMultiScaling
      clock
      24,700 373,037 15.10×
      clone
      575.17 6,696 11.64×
      context
      4,823 116,219 24.10×
      cpu-sched
      63.14 2,062 32.66×
      eventfd
      114,107 1,292,655 11.33×
      fault
      18,339 273,866 14.93×
      fork
      5,694 93,139 16.36×
      getrandom
      50,982 944,139 18.52×
      hrtimers
      551,886 3,128,484 5.67×
      mprotect
      1,191,959 8,453,328 7.09×
      mtx
      13,988,449 1,077,689,210 77.04×
      munmap
      4,113 69,313 16.85×
      null
      797,903 15,619,401 19.58×
      pipe
      1,074,923 16,514,039 15.36×
      priv-instr
      821,802 15,686,353 19.09×
      resched
      14,953,287 5,022,641 0.34×
      switch
      212,047 2,378,566 11.22×
      timermix
      347,011 9,668,761 27.86×
      tlb-shootdown
      11,324 65,393 5.77×
      tsc
      766,910 18,183,662 23.71×
      usersyscall
      634,693 12,594,354 19.84×
      vdso
      111,891,703 2,033,280,640 18.17×
      vfork
      42,189 206,135 4.89×
      x86syscall
      9,099,498 198,229,443 21.78×
      yield
      26,322,379 32,067,918 1.22×
      zero
      4,614,042 88,893,253 19.27×
      CPU float/SIMDSingleMultiScaling
      eigen
      14,569 309,281 21.23×
      expmath
      2,883 67,721 23.49×
      fma
      659,388 18,382,840 27.88×
      fp
      168 3,288 19.57×
      fractal
      5 117.81 23.56×
      hyperbolic
      3,017 72,839 24.14×
      logmath
      4,848 112,518 23.21×
      matrix
      3,507 85,758 24.45×
      matrix-3d
      738.75 5,246 7.10×
      monte-carlo
      258.57 5,675 21.95×
      mpfr
      1,406 24,165 17.19×
      powmath
      1,679 40,282 23.99×
      trig
      1,959 40,056 20.45×
      veccmp
      20,204 314,429 15.56×
      vecfp
      1,524 29,823 19.57×
      vecmath
      3,222 74,868 23.24×
      vecshuf
      662.74 11,574 17.46×
      vecwide
      31,815 593,420 18.65×
      AlgorithmsSingleMultiScaling
      bitonicsort
      8 128.2 16.02×
      bsearch
      248.4 5,361 21.58×
      bubblesort
      1 12.8 12.80×
      fibsearch
      287.17 5,741 19.99×
      heapsort
      9.4 173 18.40×
      hsearch
      7,322 130,425 17.81×
      insertionsort
      10.4 102.2 9.83×
      malloc
      2,577,473 36,835,772 14.29×
      mcontend
      124.69 6,747 54.11×
      mergesort
      26.8 597.18 22.28×
      qsort
      20.6 347.79 16.88×
      skiplist
      5,436 129,400 23.81×
      tree
      1.6 23.98 14.99×
      MemorySingleMultiScaling
      cache
      427,212 737,927 1.73×
      cachehammer
      383,968 9,733,436 25.35×
      cacheline
      65.49 3,858 58.91×
      l1cache
      897.73 6,085 6.78×
      memcpy
      405.47 6,423 15.84×
      memrate
      1.77 12.99 7.34×
      memthrash
      298.04 1,031 3.46×
      ptr-chase
      35,720,971 316,641,266 8.86×
      spinmem
      354.39 2,152 6.07×
      stream
      42.8 10,575 247.07×
      vm
      113,158 297,482 2.63×

      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.g7.2xlarge 832 GiB0
      ecs.g7.3xlarge 1248 GiB0
      ecs.g7.4xlarge 1664 GiB0
      ecs.g7.6xlarge 2496 GiB0
      ecs.g7.16xlarge 64256 GiB0

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      ecs.g7.8xlarge FAQs