ecs.g7t.8xlarge by Alibaba Cloud

ecs.g7t.8xlarge is a ecs.g7t 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 1.4951 USD per hour.
32 vCPU
128 GiB Memory
Spare SCore
31,067
(All-cores)
1,882
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.g7t.8xlarge
Description
ecs.g7t family (32 vCPUs, 128 GiB RAM, 0 GB storage)
Family
ecs.g7t
Hw Virt
Status
active
Observed At
2026-10-29T17:13:44.338289

Availability

REGION / IDSPOTONDEMAND
Beijing (CN) / cn-beijing
- 1.4951 USD/h
Shanghai (CN) / cn-shanghai
- 1.4951 USD/h
Shenzhen (CN) / cn-shenzhen
- 1.4951 USD/h
Jakarta (ID) / ap-southeast-5
- 1.814 USD/h
Hong Kong (HK) / cn-hongkong
- 1.996 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, sgx, 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, sgx_lc, fsrm, arch_capabilities
Ecpus
16.5
Scalability
51.56

System Resources and Accelerators

MEMORY
Memory Amount
128 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
      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 128 GB RAM for consistent multi-core computing workloads.

      General Purpose

      Alibaba Cloud ecs.g7t.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 KVM hypervisor, it provides a balanced 4.0 GB of memory per core but lacks local storage and GPU accelerators. Network bandwidth is rated at 16 Gbps. Performance benchmarks generally fall into the average tier, with a stress-ng multi-core score of 31066.84 and a PassMark CPU score of 36670.06. Notably, it demonstrates strong performance in text generation for small LLM models, reaching 305.55 tokens/second. The instance is suited for general-purpose applications, software compilation, static web serving, and moderate database workloads where dedicated CPU resources are required without the need for local NVMe storage.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.7Score
      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) 4,153,469 ops/sec 1,919,289 ops/sec 2.2 50.00% 50.00% +48.00%
      Redis RPS (pipeline=16, SET) 21,045,552 ops/sec 11,728,058 ops/sec 1.8 20.00% 20.00% +12.00%
      PassMark Memory Mark (composite) 2,505 2,416 1 10.00% 10.00% 0.00%
      Memory bandwidth (read, 16 MB ~ L3) 159,668 MB/sec 108,466 MB/sec 1.5 10.00% 10.00% +4.10%
      PassMark single-thread CPU 2,389 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,605

      Geekbench Multi-Core

      Score: 13,733

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 36,670
      Compression
      		 489,405
      Encryption
      		 29,256
      Extended Instructions
      		 28,367
      Floating Point Maths
      		 68,912
      Integer Maths
      		 134,767
      Physics
      		 3,309
      Prime Numbers
      		 182
      Single Threaded
      		 2,389
      String Sorting
      		 68,915

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,505
      Database Operations
      		 14,603
      Memory Latency
      		 61
      Memory Read Cached
      		 24,009
      Memory Read Uncached
      		 11,023
      Memory Write
      		 10,186

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 269.02 295.06 1.10×
      bitops
      		 130,330 2,133,100 16.37×
      branch
      		 137,429 3,494,330 25.43×
      funccall
      		 635.33 10,377 16.33×
      funcret
      		 11,839 283,943 23.98×
      hash
      		 150,775 3,518,194 23.33×
      intmath
      		 61,357 1,211,192 19.74×
      nop
      		 190,146 2,659,877 13.99×
      prime
      		 394,051 6,837,163 17.35×
      rotate
      		 97,934 1,658,467 16.93×
      str
      		 870,941 15,261,431 17.52×
      wcs
      		 594,700 8,648,851 14.54×
      CryptographySingleMultiScaling
      crypt
      		 2,840 42,190 14.85×
      CompressionSingleMultiScaling
      jpeg
      		 704.68 14,836 21.05×
      zlib
      		 49.38 1,401 28.36×
      HypervisorSingleMultiScaling
      clock
      		 24,781 364,599 14.71×
      clone
      		 604.28 6,718 11.12×
      context
      		 4,840 116,398 24.05×
      cpu-sched
      		 67.93 2,027 29.84×
      eventfd
      		 115,028 1,277,966 11.11×
      fault
      		 18,439 274,066 14.86×
      fork
      		 5,727 92,823 16.21×
      getrandom
      		 51,079 946,359 18.53×
      hrtimers
      		 546,202 3,037,678 5.56×
      mprotect
      		 1,128,226 8,402,525 7.45×
      mtx
      		 14,501,877 1,067,778,653 73.63×
      munmap
      		 4,190 69,060 16.48×
      null
      		 801,185 15,841,106 19.77×
      pipe
      		 1,122,573 18,746,654 16.70×
      priv-instr
      		 829,494 15,887,456 19.15×
      resched
      		 14,813,069 5,035,200 0.34×
      switch
      		 202,470 2,063,897 10.19×
      timermix
      		 345,836 9,713,606 28.09×
      tlb-shootdown
      		 11,821 64,849 5.49×
      tsc
      		 769,210 18,229,466 23.70×
      usersyscall
      		 644,667 12,585,383 19.52×
      vdso
      		 112,229,921 2,038,127,078 18.16×
      vfork
      		 44,898 200,889 4.47×
      x86syscall
      		 9,136,558 198,969,914 21.78×
      yield
      		 25,276,694 30,871,244 1.22×
      zero
      		 4,635,622 88,732,029 19.14×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 14,800 309,358 20.90×
      expmath
      		 2,884 67,896 23.54×
      fma
      		 660,970 18,425,969 27.88×
      fp
      		 200.29 3,297 16.46×
      fractal
      		 5 118.01 23.60×
      hyperbolic
      		 3,068 72,972 23.78×
      logmath
      		 4,853 112,815 23.24×
      matrix
      		 3,510 88,055 25.09×
      matrix-3d
      		 793.67 5,270 6.64×
      monte-carlo
      		 258.71 5,669 21.91×
      mpfr
      		 1,414 24,135 17.07×
      powmath
      		 1,687 40,410 23.95×
      trig
      		 1,965 40,145 20.43×
      veccmp
      		 20,251 315,142 15.56×
      vecfp
      		 1,529 29,833 19.51×
      vecmath
      		 3,233 75,106 23.23×
      vecshuf
      		 666.02 11,601 17.42×
      vecwide
      		 31,929 592,524 18.56×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 8 128.4 16.05×
      bsearch
      		 249.47 5,422 21.73×
      bubblesort
      		 1 12.8 12.80×
      fibsearch
      		 288.3 5,782 20.06×
      heapsort
      		 9.4 173 18.40×
      hsearch
      		 7,348 130,614 17.78×
      insertionsort
      		 10.4 102.2 9.83×
      malloc
      		 2,552,621 33,472,592 13.11×
      mcontend
      		 121.26 6,693 55.19×
      mergesort
      		 26.8 595.37 22.22×
      qsort
      		 20.6 346.59 16.82×
      skiplist
      		 5,457 129,469 23.72×
      tree
      		 1.6 19.58 12.24×
      MemorySingleMultiScaling
      cache
      		 439,865 768,064 1.75×
      cachehammer
      		 359,237 9,162,849 25.51×
      cacheline
      		 84.32 3,871 45.90×
      l1cache
      		 917.92 6,085 6.63×
      memcpy
      		 407.94 6,435 15.77×
      memrate
      		 1.78 12.37 6.95×
      memthrash
      		 227.22 1,013 4.46×
      ptr-chase
      		 36,488,162 281,664,495 7.72×
      spinmem
      		 346.79 2,246 6.48×
      stream
      		 41.48 10,472 252.46×
      vm
      		 109,655 296,997 2.71×

      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.g7t.large 28 GiB0
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      ecs.g7t.2xlarge 832 GiB0
      ecs.g7t.3xlarge 1248 GiB0
      ecs.g7t.4xlarge 1664 GiB0
      ecs.g7t.6xlarge 2496 GiB0
      ecs.g7t.16xlarge 64256 GiB0

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      ecs.g7t.8xlarge FAQs