ecs.hfc7.12xlarge by Alibaba Cloud

ecs.hfc7.12xlarge is a ecs.hfc7 family (48 vCPUs, 96 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 48 vCPUs, 96 GiB of memory and 0 GB of storage. The pricing starts at 0.3315 USD per hour.
48 vCPU
96 GiB Memory
Spare SCore
49,887
(All-cores)
1,577
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.hfc7.12xlarge
Description
ecs.hfc7 family (48 vCPUs, 96 GiB RAM, 0 GB storage)
Family
ecs.hfc7
Hw Virt
Status
active
Observed At
2026-10-28T10:50:48.072620

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
0.3315 USD/h 1.5787 USD/h
Shenzhen (CN) / cn-shenzhen
0.3323 USD/h 1.749 USD/h
Chengdu (CN) / cn-chengdu
0.3673 USD/h 1.749 USD/h
Beijing (CN) / cn-beijing
- 1.749 USD/h
Guangzhou (CN) / cn-guangzhou
- 1.749 USD/h
Hangzhou (CN) / cn-hangzhou
- 1.749 USD/h
Heyuan (CN) / cn-heyuan
- 1.749 USD/h
Shanghai (CN) / cn-shanghai
- 1.749 USD/h
Singapore (SG) / ap-southeast-1
0.6048 USD/h 2.52 USD/h
Hong Kong (HK) / cn-hongkong
- 2.7972 USD/h

Processor

vCPUs
48
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
24
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
768 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
768 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
24 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
31.6
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
      16 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated 48-vCPU compute-optimized platform featuring high-frequency Intel Xeon processors and strong multi-threaded performance for demanding CPU-bound applications.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.hfc7.12xlarge is a compute-optimized instance featuring 48 dedicated vCPUs and 96.0 GB of RAM, powered by an Intel Xeon 8369HB processor running at 3.3 GHz. Built on the x86_64 architecture with a KVM hypervisor, it allocates 2.0 GB of memory per core and includes a 33 MB L3 cache alongside AVX-512 instruction support. The instance lacks local storage and GPUs, relying on a 16 Gbps baseline network bandwidth. Performance benchmarks show strong multi-threaded capabilities, highlighted by a bzip3 decompression rate of 206.84 GB/sec and a Passmark memory score in the top 25%. It delivers stable mid-tier performance across Redis operations, static web serving, and medium LLM inference. This configuration is highly suitable for compute-heavy workloads, software compilation, and web serving applications that do not require local storage.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.9Score
      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) 4,653,752 ops/sec 1,919,289 ops/sec 2.5 50.00% 50.00% +58.00%
      Redis RPS (pipeline=16, SET) 24,521,443 ops/sec 11,728,058 ops/sec 2.1 20.00% 20.00% +16.00%
      PassMark Memory Mark (composite) 2,866 2,416 1.2 10.00% 10.00% +1.80%
      Memory bandwidth (read, 16 MB ~ L3) 116,696 MB/sec 108,466 MB/sec 1.1 10.00% 10.00% +0.96%
      PassMark single-thread CPU 2,353 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,368

      Geekbench Multi-Core

      Score: 12,926

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      40,369
      Compression
      691,014
      Encryption
      20,166
      Extended Instructions
      41,627
      Floating Point Maths
      89,798
      Integer Maths
      166,788
      Physics
      2,603
      Prime Numbers
      177
      Single Threaded
      2,353
      String Sorting
      85,833

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      2,866
      Database Operations
      16,892
      Memory Latency
      46
      Memory Read Cached
      26,619
      Memory Read Uncached
      10,970
      Memory Write
      10,208

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      267.07 227.56 0.85×
      bitops
      141,615 3,702,741 26.15×
      branch
      172,589 6,208,278 35.97×
      funccall
      634.13 14,420 22.74×
      funcret
      12,869 409,254 31.80×
      hash
      146,776 5,044,141 34.37×
      intmath
      25,247 889,971 35.25×
      nop
      214,141 4,457,496 20.82×
      prime
      361,797 8,798,694 24.32×
      rotate
      108,247 3,274,190 30.25×
      str
      896,801 22,258,268 24.82×
      wcs
      567,868 13,466,738 23.71×
      CryptographySingleMultiScaling
      crypt
      2,731 59,442 21.77×
      CompressionSingleMultiScaling
      jpeg
      696.04 17,503 25.15×
      zlib
      60.88 2,115 34.75×
      HypervisorSingleMultiScaling
      clock
      20,737 262,422 12.65×
      clone
      470.86 6,894 14.64×
      context
      3,135 129,767 41.40×
      cpu-sched
      57.35 2,857 49.82×
      eventfd
      100,742 1,509,936 14.99×
      fault
      15,634 185,673 11.88×
      fork
      4,455 92,839 20.84×
      getrandom
      51,369 1,417,325 27.59×
      hrtimers
      163,797 3,054,927 18.65×
      mprotect
      1,149,456 10,048,487 8.74×
      mtx
      11,676,817 1,473,707,707 126.21×
      munmap
      3,169 72,264 22.81×
      null
      365,984 14,225,681 38.87×
      pipe
      787,784 11,794,478 14.97×
      priv-instr
      621,820 17,955,164 28.88×
      resched
      5,675,177 5,400,433 0.95×
      switch
      201,838 6,907,793 34.22×
      timermix
      355,815 15,333,422 43.09×
      tlb-shootdown
      11,230 67,922 6.05×
      tsc
      1,115,071 36,748,867 32.96×
      usersyscall
      454,940 13,890,243 30.53×
      vdso
      90,854,768 3,516,270,251 38.70×
      vfork
      31,505 116,511 3.70×
      x86syscall
      4,210,997 169,437,558 40.24×
      yield
      28,253,152 35,755,801 1.27×
      zero
      2,361,390 78,086,170 33.07×
      CPU float/SIMDSingleMultiScaling
      eigen
      18,225 491,791 26.98×
      expmath
      3,009 100,660 33.45×
      fma
      584,799 24,439,298 41.79×
      fp
      184.8 6,239 33.76×
      fractal
      5.8 191.25 32.97×
      hyperbolic
      3,097 110,168 35.57×
      logmath
      5,107 170,096 33.30×
      matrix
      3,267 115,610 35.39×
      matrix-3d
      648.34 3,429 5.29×
      monte-carlo
      171.41 6,178 36.04×
      mpfr
      1,373 31,941 23.26×
      powmath
      1,774 58,986 33.24×
      trig
      1,919 54,227 28.26×
      veccmp
      18,355 381,577 20.79×
      vecfp
      2,150 63,762 29.65×
      vecmath
      2,340 81,722 34.93×
      vecshuf
      911.61 24,055 26.39×
      vecwide
      55,122 1,472,862 26.72×
      AlgorithmsSingleMultiScaling
      bitonicsort
      8 194.4 24.30×
      bsearch
      278.84 6,821 24.46×
      bubblesort
      0.8 19.2 24.00×
      fibsearch
      314.48 9,487 30.17×
      heapsort
      9.4 251.39 26.74×
      hsearch
      5,761 143,581 24.92×
      insertionsort
      9.2 192.4 20.91×
      malloc
      2,407,458 47,757,844 19.84×
      mcontend
      117.09 11,563 98.76×
      mergesort
      30 779.94 26.00×
      qsort
      21.2 551.38 26.01×
      skiplist
      5,846 186,887 31.97×
      tree
      1.6 28.76 17.98×
      MemorySingleMultiScaling
      cache
      414,350 737,032 1.78×
      cachehammer
      406,098 14,443,116 35.57×
      cacheline
      25.36 2,382 93.92×
      l1cache
      253.84 6,464 25.47×
      memcpy
      426.59 9,483 22.23×
      memrate
      1.18 8.93 7.57×
      memthrash
      245.65 921.7 3.75×
      ptr-chase
      36,341,295 438,038,891 12.05×
      spinmem
      434.39 4,352 10.02×
      stream
      35.25 15,075 427.66×
      vm
      60,152 301,414 5.01×

      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
      ecs.hfc7.large 24 GiB0
      ecs.hfc7.xlarge 48 GiB0
      ecs.hfc7.2xlarge 816 GiB0
      ecs.hfc7.3xlarge 1224 GiB0
      ecs.hfc7.4xlarge 1632 GiB0
      ecs.hfc7.6xlarge 2448 GiB0
      ecs.hfc7.8xlarge 3264 GiB0

      Similar Servers

      INSTANCEVENDORvCPUsMEMORYAccelerators

      ecs.hfc7.12xlarge FAQs