ecs.hfg7.2xlarge by Alibaba Cloud

ecs.hfg7.2xlarge is a ecs.hfg7 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 0.0861 USD per hour.
8 vCPU
32 GiB Memory
Spare SCore
8,261
(All-cores)
1,573
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.hfg7.2xlarge
Description
ecs.hfg7 family (8 vCPUs, 32 GiB RAM, 0 GB storage)
Family
ecs.hfg7
Hw Virt
Status
active
Observed At
2026-10-27T10:36:44.949837

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
- 0.3237 USD/h
Beijing (CN) / cn-beijing
0.0861 USD/h 0.3586 USD/h
Heyuan (CN) / cn-heyuan
0.0861 USD/h 0.3586 USD/h
Chengdu (CN) / cn-chengdu
- 0.3586 USD/h
Guangzhou (CN) / cn-guangzhou
- 0.3586 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.3586 USD/h
Shanghai (CN) / cn-shanghai
- 0.3586 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.3586 USD/h
Singapore (SG) / ap-southeast-1
0.129 USD/h 0.5376 USD/h
Tokyo (JP) / ap-northeast-1
0.1497 USD/h 0.5544 USD/h
Hong Kong (HK) / cn-hongkong
0.1421 USD/h 0.5922 USD/h

Processor

vCPUs
8
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
4
CPU Speed
3.3 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8369HB
CPU L1D Cache
32 KiB
CPU L1D Cache Total
128 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
128 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
4 MiB
CPU L3 Cache
33 MiB
CPU L3 Cache Total
33 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, 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, pti, fsgsbase, tsc_adjust, bmi1, avx2, smep, bmi2, erms, invpcid, avx512f, avx512dq, rdseed, adx, smap, clflushopt, clwb, avx512cd, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, avx512_bf16, arat, avx512_vnni
Ecpus
5.3
Scalability
66.25

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
      3 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 with dedicated Intel Xeon processors and 32 GB of RAM for general-purpose workloads.

      General Purpose

      Alibaba Cloud ecs.hfg7.2xlarge is a general-purpose instance featuring 8 dedicated x86_64 vCPUs and 32.0 GB of RAM, powered by an Intel Xeon 8369HB processor running at 3.3 GHz. Operating on the KVM hypervisor, this instance lacks local storage and dedicated GPUs, but provides a baseline network bandwidth of 3 Gbps. Performance benchmarks generally fall within the average range, highlighted by a PassMark CPU score of 9399.28 and a Redis throughput of 7.65 million SET operations per second. However, it shows limitations in complex tasks, scoring in the bottom 25% for bzip3 decompression and the bottom 10% for medium-sized LLM inference. This instance is best suited for balanced workloads such as static web serving, software compilation, and moderate database operations where dedicated compute resources are required without the need for local NVMe storage or GPU acceleration.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.53Score
      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) 919,071 ops/sec 1,918,343 ops/sec 0.48 50.00% 50.00% -31.00%
      Redis RPS (pipeline=16, SET) 4,732,980 ops/sec 11,704,734 ops/sec 0.39 20.00% 20.00% -17.00%
      PassMark Memory Mark (composite) 2,277 2,416 0.96 10.00% 10.00% -0.41%
      Memory bandwidth (read, 16 MB ~ L3) 53,195 MB/sec 108,420 MB/sec 0.48 10.00% 10.00% -7.10%
      PassMark single-thread CPU 2,331 Mops/s 2,365 Mops/s 0.96 10.00% 10.00% -0.41%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,254

      Geekbench Multi-Core

      Score: 4,891

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 9,399
      Compression
      		 130,096
      Encryption
      		 3,858
      Extended Instructions
      		 7,279
      Floating Point Maths
      		 14,903
      Integer Maths
      		 27,763
      Physics
      		 825
      Prime Numbers
      		 38
      Single Threaded
      		 2,331
      String Sorting
      		 16,943

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,277
      Database Operations
      		 3,011
      Memory Latency
      		 54
      Memory Read Cached
      		 24,904
      Memory Read Uncached
      		 8,977
      Memory Write
      		 9,399

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 272.18 259.7 0.95×
      bitops
      		 141,685 621,430 4.39×
      branch
      		 172,780 1,038,588 6.01×
      funccall
      		 634.54 2,645 4.17×
      funcret
      		 12,899 74,103 5.75×
      hash
      		 147,120 859,121 5.84×
      intmath
      		 25,233 152,884 6.06×
      nop
      		 214,159 738,527 3.45×
      prime
      		 360,774 1,598,911 4.43×
      rotate
      		 108,248 545,538 5.04×
      str
      		 907,062 4,702,588 5.18×
      wcs
      		 601,772 2,545,666 4.23×
      CryptographySingleMultiScaling
      crypt
      		 2,727 10,589 3.88×
      CompressionSingleMultiScaling
      jpeg
      		 689.1 3,309 4.80×
      zlib
      		 52 351.89 6.77×
      HypervisorSingleMultiScaling
      clock
      		 19,981 134,586 6.74×
      clone
      		 387.65 1,773 4.57×
      context
      		 3,139 21,833 6.95×
      cpu-sched
      		 66.67 520.76 7.81×
      eventfd
      		 94,153 605,721 6.43×
      fault
      		 14,953 78,070 5.22×
      fork
      		 3,891 26,564 6.83×
      getrandom
      		 51,322 255,113 4.97×
      hrtimers
      		 204,954 1,140,194 5.56×
      mprotect
      		 1,003,200 1,859,143 1.85×
      mtx
      		 10,650,430 248,977,277 23.38×
      munmap
      		 2,755 17,547 6.37×
      null
      		 369,155 2,439,458 6.61×
      pipe
      		 767,364 3,513,289 4.58×
      priv-instr
      		 614,882 3,519,986 5.72×
      resched
      		 2,527,400 910,365 0.36×
      switch
      		 199,574 1,253,857 6.28×
      timermix
      		 353,283 2,553,961 7.23×
      tlb-shootdown
      		 12,687 20,409 1.61×
      tsc
      		 1,115,122 6,241,126 5.60×
      usersyscall
      		 454,496 2,721,064 5.99×
      vdso
      		 90,736,010 623,309,788 6.87×
      vfork
      		 28,246 116,088 4.11×
      x86syscall
      		 4,209,033 28,886,458 6.86×
      yield
      		 5,422,340 5,697,897 1.05×
      zero
      		 2,347,442 13,406,071 5.71×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 18,286 88,330 4.83×
      expmath
      		 2,992 18,353 6.13×
      fma
      		 584,887 4,035,337 6.90×
      fp
      		 184.8 1,100 5.95×
      fractal
      		 5.8 34.4 5.93×
      hyperbolic
      		 3,115 19,550 6.28×
      logmath
      		 5,111 30,624 5.99×
      matrix
      		 3,265 20,094 6.15×
      matrix-3d
      		 444.51 1,789 4.02×
      monte-carlo
      		 171.55 1,111 6.48×
      mpfr
      		 1,373 5,866 4.27×
      powmath
      		 1,779 10,828 6.09×
      trig
      		 1,920 10,337 5.38×
      veccmp
      		 18,346 71,956 3.92×
      vecfp
      		 2,150 10,663 4.96×
      vecmath
      		 2,340 14,824 6.33×
      vecshuf
      		 912.33 3,994 4.38×
      vecwide
      		 55,139 258,105 4.68×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 8 38 4.75×
      bsearch
      		 280.32 1,281 4.57×
      bubblesort
      		 0.8 3.2 4.00×
      fibsearch
      		 314.65 1,570 4.99×
      heapsort
      		 9.4 46.4 4.94×
      hsearch
      		 5,749 27,649 4.81×
      insertionsort
      		 9.2 36 3.91×
      malloc
      		 1,618,162 13,421,427 8.29×
      mcontend
      		 163.49 1,933 11.83×
      mergesort
      		 29.8 154.8 5.19×
      qsort
      		 21 103.4 4.92×
      skiplist
      		 5,873 33,239 5.66×
      tree
      		 1 4.8 4.80×
      MemorySingleMultiScaling
      cache
      		 246,952 408,085 1.65×
      cachehammer
      		 369,642 2,681,634 7.25×
      cacheline
      		 34.27 289.66 8.45×
      l1cache
      		 253.75 1,089 4.29×
      memcpy
      		 427.11 1,722 4.03×
      memrate
      		 1.18 4.68 3.97×
      memthrash
      		 134.88 297.66 2.21×
      ptr-chase
      		 10,800,751 79,161,781 7.33×
      spinmem
      		 427.38 585.16 1.37×
      stream
      		 28.05 1,045 37.27×
      vm
      		 58,793 291,879 4.96×

      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.hfg7.6xlarge 2496 GiB0
      ecs.hfg7.8xlarge 32128 GiB0
      ecs.hfg7.12xlarge 48192 GiB0

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      ecs.hfg7.2xlarge FAQs