ecs.hfc7.2xlarge by Alibaba Cloud

ecs.hfc7.2xlarge is a ecs.hfc7 family (8 vCPUs, 16 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 8 vCPUs, 16 GiB of memory and 0 GB of storage. The pricing starts at 0.0554 USD per hour.
8 vCPU
16 GiB Memory
Spare SCore
8,324
(All-cores)
1,578
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.hfc7.2xlarge
Description
ecs.hfc7 family (8 vCPUs, 16 GiB RAM, 0 GB storage)
Family
ecs.hfc7
Hw Virt
Status
active
Observed At
2026-10-29T02:39:22.924888

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
- 0.2631 USD/h
Guangzhou (CN) / cn-guangzhou
0.0554 USD/h 0.2915 USD/h
Hangzhou (CN) / cn-hangzhou
0.0554 USD/h 0.2915 USD/h
Chengdu (CN) / cn-chengdu
0.0612 USD/h 0.2915 USD/h
Beijing (CN) / cn-beijing
- 0.2915 USD/h
Heyuan (CN) / cn-heyuan
- 0.2915 USD/h
Shanghai (CN) / cn-shanghai
- 0.2915 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.2915 USD/h
Singapore (SG) / ap-southeast-1
0.1008 USD/h 0.42 USD/h
Tokyo (JP) / ap-northeast-1
- 0.462 USD/h
Hong Kong (HK) / cn-hongkong
0.1119 USD/h 0.4662 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
16 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
      3 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A compute-optimized virtual server featuring dedicated high-frequency processors and vector acceleration for demanding web serving and database workloads.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.hfc7.2xlarge is a compute-optimized instance featuring 8 dedicated vCPUs and 16.0 GB of RAM, powered by an Intel Xeon 8369HB processor running at 3.3 GHz. Built on the x86_64 architecture with KVM virtualization, it provides a 1:2 vCPU-to-RAM ratio and lacks local storage, relying instead on network-attached storage. The processor supports AVX-512 and AVX512_VNNI instructions, enhancing vector and cryptographic performance. Benchmark data indicates average performance across standard compute tasks, including a Geekbench multi-core score of 5101.0 and a static web serving throughput of 8.02 GB/sec. However, it exhibits limitations in demanding workloads like medium-parameter LLM inference. This instance is best suited for high-frequency compute tasks, software compilation, web serving, and database operations requiring dedicated CPU resources without massive memory footprints.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.54Score
      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) 944,018 ops/sec 1,919,289 ops/sec 0.49 50.00% 50.00% -30.00%
      Redis RPS (pipeline=16, SET) 5,204,834 ops/sec 11,728,058 ops/sec 0.43 20.00% 20.00% -16.00%
      PassMark Memory Mark (composite) 2,086 2,416 0.88 10.00% 10.00% -1.30%
      Memory bandwidth (read, 16 MB ~ L3) 57,483 MB/sec 108,466 MB/sec 0.52 10.00% 10.00% -6.30%
      PassMark single-thread CPU 2,349 Mops/s 2,365 Mops/s 0.96 10.00% 10.00% -0.41%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,319

      Geekbench Multi-Core

      Score: 5,101

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 9,677
      Compression
      		 129,743
      Encryption
      		 3,869
      Extended Instructions
      		 7,299
      Floating Point Maths
      		 14,971
      Integer Maths
      		 27,899
      Physics
      		 976
      Prime Numbers
      		 57
      Single Threaded
      		 2,349
      String Sorting
      		 17,169

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,086
      Database Operations
      		 3,199
      Memory Latency
      		 49
      Memory Read Cached
      		 24,920
      Memory Read Uncached
      		 10,064
      Memory Write
      		 10,207

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 243.95 262.67 1.08×
      bitops
      		 141,845 626,597 4.42×
      branch
      		 172,895 1,047,810 6.06×
      funccall
      		 636.63 2,674 4.20×
      funcret
      		 12,767 74,571 5.84×
      hash
      		 147,319 867,915 5.89×
      intmath
      		 25,244 154,871 6.13×
      nop
      		 214,569 743,102 3.46×
      prime
      		 362,176 1,611,941 4.45×
      rotate
      		 108,223 551,769 5.10×
      str
      		 897,986 4,481,836 4.99×
      wcs
      		 566,473 2,565,607 4.53×
      CryptographySingleMultiScaling
      crypt
      		 2,732 10,662 3.90×
      CompressionSingleMultiScaling
      jpeg
      		 698.5 3,434 4.92×
      zlib
      		 52.55 362.98 6.91×
      HypervisorSingleMultiScaling
      clock
      		 20,295 138,071 6.80×
      clone
      		 438.32 1,788 4.08×
      context
      		 3,141 22,048 7.02×
      cpu-sched
      		 63.26 510.97 8.08×
      eventfd
      		 98,412 621,751 6.32×
      fault
      		 15,505 84,193 5.43×
      fork
      		 4,198 27,942 6.66×
      getrandom
      		 51,424 256,877 5.00×
      hrtimers
      		 145,750 1,169,442 8.02×
      mprotect
      		 1,027,541 1,921,655 1.87×
      mtx
      		 8,100,954 245,503,004 30.31×
      munmap
      		 3,045 18,757 6.16×
      null
      		 370,046 2,472,616 6.68×
      pipe
      		 865,853 3,549,754 4.10×
      priv-instr
      		 616,214 3,567,610 5.79×
      resched
      		 2,550,399 921,785 0.36×
      switch
      		 304,050 1,289,900 4.24×
      timermix
      		 350,080 2,580,602 7.37×
      tlb-shootdown
      		 11,094 22,117 1.99×
      tsc
      		 1,116,878 6,267,467 5.61×
      usersyscall
      		 453,038 2,745,516 6.06×
      vdso
      		 90,715,167 641,845,077 7.08×
      vfork
      		 29,462 122,274 4.15×
      x86syscall
      		 4,217,895 28,956,064 6.87×
      yield
      		 5,477,102 5,430,936 0.99×
      zero
      		 2,360,473 13,519,716 5.73×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 18,291 87,894 4.81×
      expmath
      		 2,996 18,366 6.13×
      fma
      		 585,546 4,083,399 6.97×
      fp
      		 184.8 1,108 5.99×
      fractal
      		 5.8 34.6 5.97×
      hyperbolic
      		 3,130 19,666 6.28×
      logmath
      		 5,121 30,884 6.03×
      matrix
      		 3,266 20,296 6.21×
      matrix-3d
      		 573.03 1,970 3.44×
      monte-carlo
      		 171.65 1,115 6.50×
      mpfr
      		 1,373 5,935 4.32×
      powmath
      		 1,778 10,889 6.12×
      trig
      		 1,922 10,399 5.41×
      veccmp
      		 18,385 72,429 3.94×
      vecfp
      		 2,153 10,688 4.97×
      vecmath
      		 2,344 14,937 6.37×
      vecshuf
      		 913.94 4,026 4.40×
      vecwide
      		 55,090 259,963 4.72×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 8 38 4.75×
      bsearch
      		 280.08 1,287 4.60×
      bubblesort
      		 0.8 3.2 4.00×
      fibsearch
      		 315.21 1,570 4.98×
      heapsort
      		 9.4 46.6 4.96×
      hsearch
      		 5,752 27,303 4.75×
      insertionsort
      		 9.2 36.6 3.98×
      malloc
      		 2,123,594 17,427,140 8.21×
      mcontend
      		 156.67 1,965 12.54×
      mergesort
      		 30 158.2 5.27×
      qsort
      		 21.2 105 4.95×
      skiplist
      		 5,888 33,452 5.68×
      tree
      		 1.4 6.4 4.57×
      MemorySingleMultiScaling
      cache
      		 296,269 524,306 1.77×
      cachehammer
      		 397,880 2,910,978 7.32×
      cacheline
      		 35.14 285.41 8.12×
      l1cache
      		 247.6 1,096 4.43×
      memcpy
      		 427.73 1,732 4.05×
      memrate
      		 1.18 4.85 4.11×
      memthrash
      		 130.23 315.1 2.42×
      ptr-chase
      		 18,122,349 96,814,250 5.34×
      spinmem
      		 437.99 701.73 1.60×
      stream
      		 28.73 1,139 39.64×
      vm
      		 58,155 291,971 5.02×

      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.hfc7.4xlarge 1632 GiB0
      ecs.hfc7.6xlarge 2448 GiB0
      ecs.hfc7.8xlarge 3264 GiB0
      ecs.hfc7.12xlarge 4896 GiB0

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      ecs.hfc7.2xlarge FAQs