ecs.g7se.6xlarge by Alibaba Cloud

ecs.g7se.6xlarge is a ecs.g7se family (24 vCPUs, 96 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 24 vCPUs, 96 GiB of memory and 0 GB of storage. The pricing starts at 1.1053 USD per hour.
24 vCPU
96 GiB Memory
Spare SCore
23,315
(All-cores)
1,860
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.g7se.6xlarge
Description
ecs.g7se family (24 vCPUs, 96 GiB RAM, 0 GB storage)
Family
ecs.g7se
Hw Virt
Status
active
Observed At
2026-10-28T16:51:40.653896

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
- 1.1053 USD/h
Beijing (CN) / cn-beijing
- 1.2281 USD/h
Chengdu (CN) / cn-chengdu
- 1.2281 USD/h
Guangzhou (CN) / cn-guangzhou
- 1.2281 USD/h
Hangzhou (CN) / cn-hangzhou
- 1.2281 USD/h
Heyuan (CN) / cn-heyuan
- 1.2281 USD/h
Shanghai (CN) / cn-shanghai
- 1.2281 USD/h
Shenzhen (CN) / cn-shenzhen
- 1.2281 USD/h
Jakarta (ID) / ap-southeast-5
- 1.6071 USD/h
Hong Kong (HK) / cn-hongkong
- 1.6394 USD/h

Processor

vCPUs
24
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
12
CPU Speed
2.9 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8369B
CPU L1D Cache
48 KiB
CPU L1D Cache Total
576 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
384 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
15 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
12.5
Scalability
52.08

System Resources and Accelerators

MEMORY
Memory Amount
96 GiB
Memory Amount Actual
96 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
      8 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A balanced x86_64 compute instance featuring dedicated Intel Xeon processors and a 1:4 vCPU-to-RAM ratio for stable enterprise workloads.

      General Purpose

      Alibaba Cloud ecs.g7se.6xlarge is a general-purpose instance featuring 24 dedicated vCPUs and 96.0 GB of RAM, powered by an Intel Xeon 8369B processor running at 2.9 GHz on the x86_64 architecture. Utilizing the KVM hypervisor, this instance allocates a balanced 4.0 GB of memory per core but includes no local storage or GPU hardware. Benchmark results place its performance consistently in the average tier, with a Geekbench multi-core score of 12067.0 and a Redis SET performance of 23.6 million operations per second. It exhibits strong text generation capabilities for small language models, achieving 286.19 tokens per second. Lacking local storage, it relies entirely on network-attached volumes. This hardware profile is optimized for balanced enterprise workloads, including software compilation, database operations, and static web serving, offering a reliable, non-burstable resource allocation for general-purpose computing.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.4Score
      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) 3,144,164 ops/sec 1,919,289 ops/sec 1.6 50.00% 50.00% +26.00%
      Redis RPS (pipeline=16, SET) 16,043,050 ops/sec 11,728,058 ops/sec 1.3 20.00% 20.00% +5.40%
      PassMark Memory Mark (composite) 2,386 2,416 1 10.00% 10.00% 0.00%
      Memory bandwidth (read, 16 MB ~ L3) 138,790 MB/sec 108,466 MB/sec 1.3 10.00% 10.00% +2.70%
      PassMark single-thread CPU 2,363 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,575

      Geekbench Multi-Core

      Score: 12,067

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 28,914
      Compression
      		 368,351
      Encryption
      		 21,918
      Extended Instructions
      		 21,224
      Floating Point Maths
      		 51,677
      Integer Maths
      		 101,043
      Physics
      		 2,123
      Prime Numbers
      		 161
      Single Threaded
      		 2,363
      String Sorting
      		 50,508

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,386
      Database Operations
      		 10,778
      Memory Latency
      		 52
      Memory Read Cached
      		 23,728
      Memory Read Uncached
      		 8,195
      Memory Write
      		 8,333

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 284.24 292.01 1.03×
      bitops
      		 130,219 1,599,960 12.29×
      branch
      		 137,421 2,619,094 19.06×
      funccall
      		 635.68 7,803 12.27×
      funcret
      		 11,707 205,527 17.56×
      hash
      		 151,168 2,632,435 17.41×
      intmath
      		 61,323 905,053 14.76×
      nop
      		 190,157 1,997,857 10.51×
      prime
      		 394,371 5,128,182 13.00×
      rotate
      		 97,941 1,245,473 12.72×
      str
      		 902,862 11,095,257 12.29×
      wcs
      		 612,439 6,482,789 10.59×
      CryptographySingleMultiScaling
      crypt
      		 2,838 31,669 11.16×
      CompressionSingleMultiScaling
      jpeg
      		 699.89 11,155 15.94×
      zlib
      		 57.1 1,084 18.98×
      HypervisorSingleMultiScaling
      clock
      		 25,170 327,016 12.99×
      clone
      		 554.66 5,018 9.05×
      context
      		 4,842 86,940 17.96×
      cpu-sched
      		 56.9 1,575 27.69×
      eventfd
      		 114,525 1,001,142 8.74×
      fault
      		 18,409 226,297 12.29×
      fork
      		 5,759 74,385 12.92×
      getrandom
      		 51,205 709,972 13.87×
      hrtimers
      		 334,946 2,633,256 7.86×
      mprotect
      		 1,183,585 6,304,450 5.33×
      mtx
      		 11,045,001 818,700,365 74.12×
      munmap
      		 4,102 53,918 13.14×
      null
      		 797,599 11,827,922 14.83×
      pipe
      		 1,146,022 11,788,026 10.29×
      priv-instr
      		 825,410 12,288,398 14.89×
      resched
      		 11,907,475 3,515,214 0.30×
      switch
      		 193,213 4,199,385 21.73×
      timermix
      		 347,512 7,231,317 20.81×
      tlb-shootdown
      		 15,484 51,208 3.31×
      tsc
      		 769,349 13,671,778 17.77×
      usersyscall
      		 643,533 9,501,816 14.77×
      vdso
      		 108,356,228 1,528,926,322 14.11×
      vfork
      		 44,621 220,392 4.94×
      x86syscall
      		 9,127,434 149,252,422 16.35×
      yield
      		 18,782,975 22,531,198 1.20×
      zero
      		 4,629,215 65,210,242 14.09×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 14,821 230,201 15.53×
      expmath
      		 2,886 50,922 17.65×
      fma
      		 661,132 13,824,428 20.91×
      fp
      		 192 2,456 12.79×
      fractal
      		 5 88.61 17.72×
      hyperbolic
      		 3,069 54,768 17.84×
      logmath
      		 4,853 84,570 17.43×
      matrix
      		 3,508 63,822 18.20×
      matrix-3d
      		 765.53 4,621 6.04×
      monte-carlo
      		 258.75 4,235 16.37×
      mpfr
      		 1,411 18,097 12.82×
      powmath
      		 1,685 30,260 17.96×
      trig
      		 1,968 30,099 15.30×
      veccmp
      		 20,169 236,297 11.72×
      vecfp
      		 1,529 22,424 14.66×
      vecmath
      		 3,231 56,328 17.43×
      vecshuf
      		 665.46 8,703 13.08×
      vecwide
      		 31,926 446,018 13.97×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 8 96 12.00×
      bsearch
      		 249.48 4,039 16.19×
      bubblesort
      		 1 9.6 9.60×
      fibsearch
      		 288.49 4,346 15.06×
      heapsort
      		 9.4 129.8 13.81×
      hsearch
      		 7,106 99,277 13.97×
      insertionsort
      		 10.6 76.6 7.23×
      malloc
      		 2,712,217 29,120,439 10.74×
      mcontend
      		 129.11 4,864 37.67×
      mergesort
      		 26.8 446.99 16.68×
      qsort
      		 20.8 259.79 12.49×
      skiplist
      		 5,441 97,856 17.99×
      tree
      		 1.6 19.19 11.99×
      MemorySingleMultiScaling
      cache
      		 403,726 637,743 1.58×
      cachehammer
      		 370,941 7,565,680 20.40×
      cacheline
      		 62.75 1,490 23.75×
      l1cache
      		 917.9 4,562 4.97×
      memcpy
      		 406.97 4,807 11.81×
      memrate
      		 1.78 13.81 7.76×
      memthrash
      		 196.35 871.66 4.44×
      ptr-chase
      		 31,278,638 247,865,342 7.92×
      spinmem
      		 360.19 1,704 4.73×
      stream
      		 41.01 7,290 177.75×
      vm
      		 113,071 295,771 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.g7se.3xlarge 1248 GiB0
      ecs.g7se.4xlarge 1664 GiB0
      ecs.g7se.8xlarge 32128 GiB0
      ecs.g7se.16xlarge 64256 GiB0

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