ecs.hfg7.8xlarge by Alibaba Cloud

ecs.hfg7.8xlarge is a ecs.hfg7 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 0.3155 USD per hour.
32 vCPU
128 GiB Memory
Spare SCore
33,211
(All-cores)
1,574
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.hfg7.8xlarge
Description
ecs.hfg7 family (32 vCPUs, 128 GiB RAM, 0 GB storage)
Family
ecs.hfg7
Hw Virt
Average Time To Start
15
Status
active
Observed At
2026-10-27T10:36:44.949974

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
- 1.295 USD/h
Guangzhou (CN) / cn-guangzhou
0.3155 USD/h 1.4343 USD/h
Chengdu (CN) / cn-chengdu
0.3442 USD/h 1.4343 USD/h
Heyuan (CN) / cn-heyuan
0.3442 USD/h 1.4343 USD/h
Shenzhen (CN) / cn-shenzhen
0.3442 USD/h 1.4343 USD/h
Beijing (CN) / cn-beijing
- 1.4343 USD/h
Hangzhou (CN) / cn-hangzhou
- 1.4343 USD/h
Tokyo (JP) / ap-northeast-1
0.5322 USD/h 2.2176 USD/h
Hong Kong (HK) / cn-hongkong
0.5922 USD/h 2.3688 USD/h

Processor

vCPUs
32
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
16
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
512 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
512 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
16 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, 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, 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, ida, arat, avx512_vnni
Ecpus
21.1
Scalability
65.94

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

      CPU and System Topology

      Server Description

      A dedicated x86_64 compute platform featuring a high-frequency Intel Xeon processor and balanced memory allocation for enterprise workloads.

      General PurposeCompute Optimized

      Alibaba Cloud ecs.hfg7.8xlarge is an x86_64 general-purpose server instance powered by a dedicated 3.3 GHz Intel Xeon 8369HB processor. It features 32 vCPUs, 128.0 GB of RAM, and a baseline network bandwidth of 10 Gbps, with no local storage or GPU accelerators. Benchmark data indicates solid mid-tier performance, with a stress-ng multi-core score of 33210.62 and a Redis SET throughput of 30.49 million operations per second. The instance's 1:4 vCPU-to-RAM ratio provides a balanced resource profile, though the absence of local storage necessitates network-attached storage. It is suitable for database operations, web serving, and software compilation workloads requiring dedicated CPU resources.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.5Score
      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) 3,389,037 ops/sec 1,918,343 ops/sec 1.8 50.00% 50.00% +34.00%
      Redis RPS (pipeline=16, SET) 17,786,306 ops/sec 11,704,734 ops/sec 1.5 20.00% 20.00% +8.40%
      PassMark Memory Mark (composite) 2,693 2,416 1.1 10.00% 10.00% +0.96%
      Memory bandwidth (read, 16 MB ~ L3) 114,511 MB/sec 108,420 MB/sec 1 10.00% 10.00% 0.00%
      PassMark single-thread CPU 2,334 Mops/s 2,365 Mops/s 0.96 10.00% 10.00% -0.41%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,332

      Geekbench Multi-Core

      Score: 11,417

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 31,331
      Compression
      		 509,822
      Encryption
      		 15,070
      Extended Instructions
      		 29,133
      Floating Point Maths
      		 59,723
      Integer Maths
      		 111,006
      Physics
      		 2,438
      Prime Numbers
      		 137
      Single Threaded
      		 2,334
      String Sorting
      		 64,170

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,693
      Database Operations
      		 12,088
      Memory Latency
      		 48
      Memory Read Cached
      		 24,708
      Memory Read Uncached
      		 9,717
      Memory Write
      		 9,997

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 245.54 229.98 0.94×
      bitops
      		 141,008 2,498,187 17.72×
      branch
      		 172,103 4,190,091 24.35×
      funccall
      		 634.09 10,596 16.71×
      funcret
      		 12,814 298,678 23.31×
      hash
      		 146,539 3,457,972 23.60×
      intmath
      		 25,099 611,302 24.36×
      nop
      		 213,660 2,960,491 13.86×
      prime
      		 359,954 6,373,519 17.71×
      rotate
      		 108,022 2,192,945 20.30×
      str
      		 893,841 17,836,027 19.95×
      wcs
      		 601,391 9,926,314 16.51×
      CryptographySingleMultiScaling
      crypt
      		 2,723 42,570 15.63×
      CompressionSingleMultiScaling
      jpeg
      		 693.5 13,157 18.97×
      zlib
      		 66.87 1,461 21.85×
      HypervisorSingleMultiScaling
      clock
      		 18,976 329,748 17.38×
      clone
      		 450.86 6,357 14.10×
      context
      		 3,108 87,359 28.11×
      cpu-sched
      		 64.67 2,026 31.33×
      eventfd
      		 92,273 1,077,974 11.68×
      fault
      		 14,875 223,588 15.03×
      fork
      		 3,534 75,224 21.29×
      getrandom
      		 51,452 1,025,666 19.93×
      hrtimers
      		 505,835 2,578,420 5.10×
      mprotect
      		 1,147,241 7,192,062 6.27×
      mtx
      		 11,017,682 1,024,968,960 93.03×
      munmap
      		 2,458 57,753 23.50×
      null
      		 366,604 9,655,654 26.34×
      pipe
      		 752,752 10,983,725 14.59×
      priv-instr
      		 614,138 13,570,941 22.10×
      resched
      		 6,181,994 4,433,252 0.72×
      switch
      		 207,589 4,996,361 24.07×
      timermix
      		 344,160 9,895,384 28.75×
      tlb-shootdown
      		 10,948 61,087 5.58×
      tsc
      		 1,111,987 24,740,271 22.25×
      usersyscall
      		 447,759 10,436,034 23.31×
      vdso
      		 88,560,747 2,129,164,210 24.04×
      vfork
      		 28,976 158,810 5.48×
      x86syscall
      		 4,193,071 114,225,689 27.24×
      yield
      		 21,120,992 24,721,519 1.17×
      zero
      		 2,320,217 53,343,523 22.99×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 18,184 344,774 18.96×
      expmath
      		 2,994 73,580 24.57×
      fma
      		 583,662 16,284,633 27.90×
      fp
      		 184.8 4,431 23.98×
      fractal
      		 5.8 138.03 23.80×
      hyperbolic
      		 3,120 78,473 25.15×
      logmath
      		 5,104 123,226 24.14×
      matrix
      		 3,255 80,811 24.83×
      matrix-3d
      		 593.93 3,762 6.33×
      monte-carlo
      		 171.52 4,444 25.91×
      mpfr
      		 1,369 23,505 17.17×
      powmath
      		 1,777 43,309 24.37×
      trig
      		 1,916 40,217 20.99×
      veccmp
      		 18,252 282,516 15.48×
      vecfp
      		 2,147 42,542 19.81×
      vecmath
      		 2,336 59,549 25.50×
      vecshuf
      		 910.41 16,202 17.80×
      vecwide
      		 54,889 1,037,639 18.90×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 8 147.2 18.40×
      bsearch
      		 273.04 5,100 18.68×
      bubblesort
      		 0.8 12.8 16.00×
      fibsearch
      		 313.82 6,386 20.35×
      heapsort
      		 9.4 185.6 19.74×
      hsearch
      		 5,606 109,587 19.55×
      insertionsort
      		 9.2 141.6 15.39×
      malloc
      		 2,162,937 37,674,047 17.42×
      mcontend
      		 119.26 7,524 63.09×
      mergesort
      		 29.2 591.78 20.27×
      qsort
      		 21.2 402.79 19.00×
      skiplist
      		 5,850 132,732 22.69×
      tree
      		 1.6 19.19 11.99×
      MemorySingleMultiScaling
      cache
      		 318,064 565,251 1.78×
      cachehammer
      		 401,324 10,229,694 25.49×
      cacheline
      		 35.95 2,375 66.06×
      l1cache
      		 253.48 4,367 17.23×
      memcpy
      		 426.36 6,876 16.13×
      memrate
      		 1.18 12.19 10.33×
      memthrash
      		 204.73 868.55 4.24×
      ptr-chase
      		 26,110,951 317,732,686 12.17×
      spinmem
      		 437.19 2,801 6.41×
      stream
      		 31.39 9,711 309.36×
      vm
      		 58,154 297,895 5.12×

      Stress-ng Raw Scores

      Stress-ng Relative Multicore Performance

      Static Web Server

      Redis

      Alternatives

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      INSTANCEvCPUsMEMORYAccelerators
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      ecs.hfg7.4xlarge 1664 GiB0
      ecs.hfg7.6xlarge 2496 GiB0
      ecs.hfg7.12xlarge 48192 GiB0

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      ecs.hfg7.8xlarge FAQs