ecs.g7t.2xlarge by Alibaba Cloud

ecs.g7t.2xlarge is a ecs.g7t 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 0.3738 USD per hour.
8 vCPU
32 GiB Memory
Spare SCore
7,762
(All-cores)
1,848
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.g7t.2xlarge
Description
ecs.g7t family (8 vCPUs, 32 GiB RAM, 0 GB storage)
Family
ecs.g7t
Hw Virt
Status
active
Observed At
2026-10-28T07:38:05.791648

Availability

REGION / IDSPOTONDEMAND
Beijing (CN) / cn-beijing
- 0.3738 USD/h
Shanghai (CN) / cn-shanghai
- 0.3738 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.3738 USD/h
Jakarta (ID) / ap-southeast-5
- 0.454 USD/h
Hong Kong (HK) / cn-hongkong
- 0.499 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, 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
4.2
Scalability
52.5

System Resources and Accelerators

MEMORY
Memory Amount
32 GiB
Memory Amount Actual
16 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 x86_64 virtual server with dedicated Intel Xeon processors, suitable for standard web serving and moderate database applications.

      General Purpose

      Alibaba Cloud ecs.g7t.2xlarge is a general-purpose instance featuring 8 dedicated vCPUs and 32.0 GB of RAM, running on an Intel Xeon 8369B processor at 2.7 GHz. Utilizing the KVM hypervisor on an x86_64 architecture, this instance does not include local storage and provides a baseline network bandwidth of 5 Gbps. Performance benchmarks indicate average capabilities across standard compute tasks, including a Geekbench multi-core score of 5386.0 and a static web serving throughput of 11.32 GB/sec. However, memory bandwidth for large uncached blocks is weak, and LLM inference for medium-sized models is poor. The instance is qualitatively cost-efficient for balanced workloads that require dedicated CPU resources without extreme memory throughput demands. It is best suited for general-purpose applications, web serving, software compilation, and moderate database operations.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.52Score
      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) 1,040,202 ops/sec 1,919,289 ops/sec 0.53 50.00% 50.00% -27.00%
      Redis RPS (pipeline=16, SET) 5,570,230 ops/sec 11,728,058 ops/sec 0.47 20.00% 20.00% -14.00%
      PassMark Memory Mark (composite) 1,624 2,416 0.67 10.00% 10.00% -3.90%
      Memory bandwidth (read, 16 MB ~ L3) 26,028 MB/sec 108,466 MB/sec 0.24 10.00% 10.00% -13.00%
      PassMark single-thread CPU 2,360 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,483

      Geekbench Multi-Core

      Score: 5,386

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 11,286
      Compression
      		 123,429
      Encryption
      		 7,306
      Extended Instructions
      		 6,961
      Floating Point Maths
      		 17,208
      Integer Maths
      		 33,660
      Physics
      		 1,312
      Prime Numbers
      		 74
      Single Threaded
      		 2,360
      String Sorting
      		 16,981

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,624
      Database Operations
      		 3,648
      Memory Latency
      		 65
      Memory Read Cached
      		 24,186
      Memory Read Uncached
      		 6,491
      Memory Write
      		 6,695

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 279.74 324.78 1.16×
      bitops
      		 130,292 532,714 4.09×
      branch
      		 137,375 871,978 6.35×
      funccall
      		 635.52 2,602 4.09×
      funcret
      		 11,810 69,522 5.89×
      hash
      		 151,083 877,417 5.81×
      intmath
      		 61,330 301,346 4.91×
      nop
      		 190,074 665,360 3.50×
      prime
      		 394,512 1,706,035 4.32×
      rotate
      		 97,908 416,014 4.25×
      str
      		 866,119 3,797,292 4.38×
      wcs
      		 600,900 2,175,396 3.62×
      CryptographySingleMultiScaling
      crypt
      		 2,838 10,544 3.72×
      CompressionSingleMultiScaling
      jpeg
      		 729.23 3,751 5.14×
      zlib
      		 53.01 363.93 6.87×
      HypervisorSingleMultiScaling
      clock
      		 25,913 148,472 5.73×
      clone
      		 612.99 1,874 3.06×
      context
      		 4,840 29,061 6.00×
      cpu-sched
      		 62.92 506.49 8.05×
      eventfd
      		 113,742 696,994 6.13×
      fault
      		 18,565 88,275 4.75×
      fork
      		 5,962 32,444 5.44×
      getrandom
      		 51,140 236,495 4.62×
      hrtimers
      		 539,502 1,322,991 2.45×
      mprotect
      		 1,063,587 2,145,993 2.02×
      mtx
      		 11,933,382 271,317,307 22.74×
      munmap
      		 4,339 21,374 4.93×
      null
      		 800,874 3,940,219 4.92×
      pipe
      		 1,045,337 4,590,787 4.39×
      priv-instr
      		 828,532 4,141,754 5.00×
      resched
      		 3,402,121 1,185,309 0.35×
      switch
      		 213,726 1,389,264 6.50×
      timermix
      		 352,743 2,423,758 6.87×
      tlb-shootdown
      		 11,368 22,138 1.95×
      tsc
      		 769,292 4,550,385 5.92×
      usersyscall
      		 644,209 3,196,941 4.96×
      vdso
      		 112,273,074 509,286,450 4.54×
      vfork
      		 45,972 159,853 3.48×
      x86syscall
      		 9,100,629 49,459,718 5.43×
      yield
      		 6,268,325 6,606,734 1.05×
      zero
      		 4,629,464 22,453,242 4.85×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 14,819 76,934 5.19×
      expmath
      		 2,883 16,953 5.88×
      fma
      		 660,887 4,600,509 6.96×
      fp
      		 184.8 818.57 4.43×
      fractal
      		 5 29.6 5.92×
      hyperbolic
      		 3,073 18,232 5.93×
      logmath
      		 4,853 28,018 5.77×
      matrix
      		 3,505 21,655 6.18×
      matrix-3d
      		 804.28 2,159 2.68×
      monte-carlo
      		 258.2 1,419 5.50×
      mpfr
      		 1,409 6,043 4.29×
      powmath
      		 1,692 10,081 5.96×
      trig
      		 1,942 10,031 5.16×
      veccmp
      		 20,232 78,687 3.89×
      vecfp
      		 1,529 7,494 4.90×
      vecmath
      		 3,264 18,752 5.75×
      vecshuf
      		 665.04 2,901 4.36×
      vecwide
      		 31,914 148,508 4.65×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 8 32.2 4.03×
      bsearch
      		 249.95 1,340 5.36×
      bubblesort
      		 1 3.2 3.20×
      fibsearch
      		 288.8 1,439 4.98×
      heapsort
      		 9.4 43.2 4.60×
      hsearch
      		 7,346 32,509 4.43×
      insertionsort
      		 10.6 25.6 2.42×
      malloc
      		 2,618,910 17,575,410 6.71×
      mcontend
      		 161.42 1,655 10.25×
      mergesort
      		 26.8 150.6 5.62×
      qsort
      		 20.6 87.2 4.23×
      skiplist
      		 5,460 32,561 5.96×
      tree
      		 1.6 8 5.00×
      MemorySingleMultiScaling
      cache
      		 406,271 625,363 1.54×
      cachehammer
      		 352,008 2,546,946 7.24×
      cacheline
      		 57.79 494.44 8.56×
      l1cache
      		 900.77 1,541 1.71×
      memcpy
      		 406.62 1,605 3.95×
      memrate
      		 1.78 6.25 3.51×
      memthrash
      		 206.59 341.22 1.65×
      ptr-chase
      		 32,628,681 92,392,500 2.83×
      spinmem
      		 355.19 423.77 1.19×
      stream
      		 11.72 758.08 64.68×
      vm
      		 82,389 291,954 3.54×

      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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      INSTANCEvCPUsMEMORYAccelerators
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      ecs.g7t.4xlarge 1664 GiB0
      ecs.g7t.6xlarge 2496 GiB0
      ecs.g7t.8xlarge 32128 GiB0
      ecs.g7t.16xlarge 64256 GiB0

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      ecs.g7t.2xlarge FAQs