ecs.hfg7.6xlarge by Alibaba Cloud

ecs.hfg7.6xlarge is a ecs.hfg7 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 0.2137 USD per hour.
24 vCPU
96 GiB Memory
Spare SCore
24,951
(All-cores)
1,576
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.hfg7.6xlarge
Description
ecs.hfg7 family (24 vCPUs, 96 GiB RAM, 0 GB storage)
Family
ecs.hfg7
Hw Virt
Average Time To Start
14
Status
active
Observed At
2026-10-27T14:41:34.240495

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
0.2137 USD/h 0.9712 USD/h
Chengdu (CN) / cn-chengdu
0.2582 USD/h 1.0757 USD/h
Shenzhen (CN) / cn-shenzhen
0.2582 USD/h 1.0757 USD/h
Beijing (CN) / cn-beijing
- 1.0757 USD/h
Guangzhou (CN) / cn-guangzhou
- 1.0757 USD/h
Hangzhou (CN) / cn-hangzhou
- 1.0757 USD/h
Heyuan (CN) / cn-heyuan
- 1.0757 USD/h
Tokyo (JP) / ap-northeast-1
0.3992 USD/h 1.6632 USD/h
Hong Kong (HK) / cn-hongkong
- 1.7766 USD/h

Processor

vCPUs
24
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
12
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
384 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
384 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
12 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
15.8
Scalability
65.83

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 virtual server with dedicated Intel Xeon processors and strong memory performance for general-purpose workloads.

      General PurposeCompute Optimized

      Alibaba Cloud ecs.hfg7.6xlarge is a KVM-based virtual server configured with 24 dedicated vCPUs (12 physical cores) and 96.0 GB of RAM, utilizing an Intel Xeon 8369HB x86_64 processor running at 3.3 GHz. It features a balanced 1:4 vCPU-to-RAM ratio, 8 Gbps baseline network bandwidth, and no local storage or GPU hardware. In performance testing, the instance shows average compute capabilities with a multi-core stress-ng score of 24950.58, but exhibits strong memory performance with a PassMark memory score of 2847.06. It is well-suited for general-purpose applications, software compilation, and web serving, delivering 18.38 GB/sec in static web serving throughput and 24.01 million operations per second in Redis SET benchmarks.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.3Score
      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) 2,799,864 ops/sec 1,918,343 ops/sec 1.5 50.00% 50.00% +22.00%
      Redis RPS (pipeline=16, SET) 15,174,703 ops/sec 11,704,734 ops/sec 1.2 20.00% 20.00% +3.70%
      PassMark Memory Mark (composite) 2,847 2,416 1.2 10.00% 10.00% +1.80%
      Memory bandwidth (read, 16 MB ~ L3) 93,551 MB/sec 108,420 MB/sec 0.85 10.00% 10.00% -1.60%
      PassMark single-thread CPU 2,350 Mops/s 2,365 Mops/s 0.96 10.00% 10.00% -0.41%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,362

      Geekbench Multi-Core

      Score: 10,254

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 25,408
      Compression
      		 384,146
      Encryption
      		 11,575
      Extended Instructions
      		 22,314
      Floating Point Maths
      		 44,896
      Integer Maths
      		 83,804
      Physics
      		 2,239
      Prime Numbers
      		 121
      Single Threaded
      		 2,350
      String Sorting
      		 50,350

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,847
      Database Operations
      		 9,340
      Memory Latency
      		 46
      Memory Read Cached
      		 26,775
      Memory Read Uncached
      		 11,084
      Memory Write
      		 10,104

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 246.04 242.26 0.98×
      bitops
      		 141,444 1,880,048 13.29×
      branch
      		 172,434 3,150,423 18.27×
      funccall
      		 634.67 8,006 12.61×
      funcret
      		 12,826 225,257 17.56×
      hash
      		 146,821 2,599,850 17.71×
      intmath
      		 25,275 461,691 18.27×
      nop
      		 213,392 2,228,134 10.44×
      prime
      		 358,887 4,826,716 13.45×
      rotate
      		 108,208 1,637,898 15.14×
      str
      		 860,846 14,276,413 16.58×
      wcs
      		 598,632 7,711,420 12.88×
      CryptographySingleMultiScaling
      crypt
      		 2,725 31,982 11.73×
      CompressionSingleMultiScaling
      jpeg
      		 691.79 9,049 13.08×
      zlib
      		 49.13 1,129 22.99×
      HypervisorSingleMultiScaling
      clock
      		 21,356 298,631 13.98×
      clone
      		 446.93 5,067 11.34×
      context
      		 3,134 65,995 21.06×
      cpu-sched
      		 58.67 1,545 26.33×
      eventfd
      		 102,087 891,594 8.73×
      fault
      		 15,610 206,698 13.24×
      fork
      		 4,571 58,452 12.79×
      getrandom
      		 51,350 770,787 15.01×
      hrtimers
      		 572,627 2,396,059 4.18×
      mprotect
      		 1,124,182 5,740,991 5.11×
      mtx
      		 9,059,455 775,987,448 85.65×
      munmap
      		 3,241 43,634 13.46×
      null
      		 369,643 7,406,086 20.04×
      pipe
      		 845,182 7,898,595 9.35×
      priv-instr
      		 620,923 10,619,567 17.10×
      resched
      		 6,091,470 2,946,206 0.48×
      switch
      		 252,084 3,818,508 15.15×
      timermix
      		 349,548 7,630,677 21.83×
      tlb-shootdown
      		 10,794 50,207 4.65×
      tsc
      		 1,115,214 18,829,724 16.88×
      usersyscall
      		 452,019 8,222,415 18.19×
      vdso
      		 90,823,934 1,902,187,178 20.94×
      vfork
      		 32,266 180,366 5.59×
      x86syscall
      		 4,216,437 86,887,590 20.61×
      yield
      		 17,410,928 19,005,704 1.09×
      zero
      		 2,365,157 40,660,817 17.19×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 18,169 260,994 14.36×
      expmath
      		 3,006 55,478 18.46×
      fma
      		 584,935 12,241,045 20.93×
      fp
      		 184.8 3,332 18.03×
      fractal
      		 5.8 103.81 17.90×
      hyperbolic
      		 3,114 59,157 18.99×
      logmath
      		 5,110 92,436 18.09×
      matrix
      		 3,205 60,926 19.01×
      matrix-3d
      		 654.77 3,748 5.72×
      monte-carlo
      		 171.38 3,336 19.47×
      mpfr
      		 1,364 17,819 13.07×
      powmath
      		 1,777 32,639 18.37×
      trig
      		 1,924 31,282 16.26×
      veccmp
      		 18,315 217,243 11.86×
      vecfp
      		 2,150 31,714 14.75×
      vecmath
      		 2,338 44,898 19.20×
      vecshuf
      		 912.05 12,158 13.33×
      vecwide
      		 55,201 780,042 14.13×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 8 114 14.25×
      bsearch
      		 278.29 3,844 13.81×
      bubblesort
      		 0.8 9.6 12.00×
      fibsearch
      		 314.27 4,824 15.35×
      heapsort
      		 9.4 140 14.89×
      hsearch
      		 5,596 84,902 15.17×
      insertionsort
      		 9.2 110.2 11.98×
      malloc
      		 2,373,616 25,350,667 10.68×
      mcontend
      		 121.68 5,797 47.64×
      mergesort
      		 29.8 465.39 15.62×
      qsort
      		 21.2 311.79 14.71×
      skiplist
      		 5,871 100,495 17.12×
      tree
      		 1.6 14.59 9.12×
      MemorySingleMultiScaling
      cache
      		 413,517 749,624 1.81×
      cachehammer
      		 408,896 8,160,927 19.96×
      cacheline
      		 37.76 792.25 20.98×
      l1cache
      		 245.37 3,292 13.42×
      memcpy
      		 427.24 5,186 12.14×
      memrate
      		 1.18 9.2 7.80×
      memthrash
      		 224.36 776.86 3.46×
      ptr-chase
      		 35,758,136 255,531,655 7.15×
      spinmem
      		 432.19 1,927 4.46×
      stream
      		 35.6 7,922 222.52×
      vm
      		 62,124 296,126 4.77×

      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

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      ecs.hfg7.4xlarge 1664 GiB0
      ecs.hfg7.8xlarge 32128 GiB0
      ecs.hfg7.12xlarge 48192 GiB0

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      ecs.hfg7.6xlarge FAQs