ecs.hfc6.4xlarge by Alibaba Cloud

ecs.hfc6.4xlarge is a ecs.hfc6 family (16 vCPUs, 32 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 16 vCPUs, 32 GiB of memory and 0 GB of storage. The pricing starts at 0.0948 USD per hour.
16 vCPU
32 GiB Memory
Spare SCore
15,316
(All-cores)
1,435
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.hfc6.4xlarge
Description
ecs.hfc6 family (16 vCPUs, 32 GiB RAM, 0 GB storage)
Family
ecs.hfc6
Hw Virt
Status
active
Observed At
2026-10-24T08:10:33.200598

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
0.0948 USD/h 0.4992 USD/h
Chengdu (CN) / cn-chengdu
- 0.5004 USD/h
Guangzhou (CN) / cn-guangzhou
0.1054 USD/h 0.5546 USD/h
Beijing (CN) / cn-beijing
- 0.5546 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.5546 USD/h
Shanghai (CN) / cn-shanghai
- 0.5546 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.5546 USD/h
Heyuan (CN) / cn-heyuan
- 0.555 USD/h
Virginia (US) / us-east-1
0.0974 USD/h 0.696 USD/h
Silicon Valley (US) / us-west-1
0.0974 USD/h 0.696 USD/h
Frankfurt (DE) / eu-central-1
- 0.792 USD/h
Jakarta (ID) / ap-southeast-5
0.152 USD/h 0.8 USD/h
Singapore (SG) / ap-southeast-1
0.184 USD/h 0.8 USD/h
London (GB) / eu-west-1
0.1566 USD/h 0.824 USD/h
Tokyo (JP) / ap-northeast-1
0.1672 USD/h 0.88 USD/h
Hong Kong (HK) / cn-hongkong
0.1687 USD/h 0.888 USD/h
Riyadh (SA) / me-central-1
- 0.96 USD/h

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
8
CPU Speed
3.1 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8269CY
CPU L1D Cache
32 KiB
CPU L1D Cache Total
256 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
256 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
8 MiB
CPU L3 Cache
36 MiB
CPU L3 Cache Total
36 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, ida, arat, avx512_vnni
Ecpus
10.7
Scalability
66.88

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

      CPU and System Topology

      Server Description

      A dedicated compute-optimized virtual server featuring Intel Xeon processors and AVX-512 support for balanced, compute-heavy workloads.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.hfc6.4xlarge is an x86_64 compute-optimized instance featuring 16 dedicated vCPUs and 32.0 GB of RAM, powered by an Intel Xeon 8269CY processor running at 3.1 GHz. Built on the KVM hypervisor, it provides a 1:2 vCPU-to-RAM ratio without bundled local storage or GPU accelerators. The instance delivers a baseline network bandwidth of 5 Gbps. Benchmark results indicate average performance across standard compute and memory tests, including a stress-ng multi-core score of 15316.01 and a static web serving throughput of 12.43 GB/sec. It supports AVX-512 instructions, making it capable of handling vector calculations and cryptography. This instance is designed for compute-heavy workloads such as web serving, database operations, software compilation, and lightweight machine learning inference where local high-speed storage is not a primary requirement.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.85Score
      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) 1,588,111 ops/sec 1,919,289 ops/sec 0.84 50.00% 50.00% -8.30%
      Redis RPS (pipeline=16, SET) 9,409,945 ops/sec 11,728,058 ops/sec 0.78 20.00% 20.00% -4.80%
      PassMark Memory Mark (composite) 2,488 2,416 1 10.00% 10.00% 0.00%
      Memory bandwidth (read, 16 MB ~ L3) 92,780 MB/sec 108,466 MB/sec 0.85 10.00% 10.00% -1.60%
      PassMark single-thread CPU 2,154 Mops/s 2,365 Mops/s 0.92 10.00% 10.00% -0.83%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,281

      Geekbench Multi-Core

      Score: 7,823

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 16,739
      Compression
      		 235,603
      Encryption
      		 7,091
      Extended Instructions
      		 14,241
      Floating Point Maths
      		 27,472
      Integer Maths
      		 51,202
      Physics
      		 1,579
      Prime Numbers
      		 97
      Single Threaded
      		 2,154
      String Sorting
      		 31,060

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,488
      Database Operations
      		 5,849
      Memory Latency
      		 52
      Memory Read Cached
      		 24,531
      Memory Read Uncached
      		 10,285
      Memory Write
      		 9,901

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 230.79 210.02 0.91×
      bitops
      		 125,900 1,122,165 8.91×
      branch
      		 158,383 1,923,626 12.15×
      funccall
      		 582.54 4,905 8.42×
      funcret
      		 11,898 137,640 11.57×
      hash
      		 134,375 1,583,625 11.79×
      intmath
      		 22,888 281,941 12.32×
      nop
      		 196,646 1,363,597 6.93×
      prime
      		 332,447 2,966,433 8.92×
      rotate
      		 99,357 1,001,795 10.08×
      str
      		 822,075 8,728,760 10.62×
      wcs
      		 532,368 4,625,999 8.69×
      CryptographySingleMultiScaling
      crypt
      		 2,505 19,577 7.82×
      CompressionSingleMultiScaling
      jpeg
      		 636.32 6,177 9.71×
      zlib
      		 48.54 696.18 14.34×
      HypervisorSingleMultiScaling
      clock
      		 16,879 167,126 9.90×
      clone
      		 437.41 3,424 7.83×
      context
      		 1,980 20,903 10.56×
      cpu-sched
      		 52.98 1,029 19.43×
      eventfd
      		 91,301 916,276 10.04×
      fault
      		 13,912 135,960 9.77×
      fork
      		 4,168 39,644 9.51×
      getrandom
      		 46,197 459,009 9.94×
      hrtimers
      		 474,439 1,645,909 3.47×
      mprotect
      		 1,079,316 2,507,436 2.32×
      mtx
      		 14,019,421 499,051,449 35.60×
      munmap
      		 2,958 29,155 9.86×
      null
      		 208,760 2,094,727 10.03×
      pipe
      		 935,933 5,259,815 5.62×
      priv-instr
      		 448,540 4,640,067 10.34×
      resched
      		 3,481,420 1,503,326 0.43×
      switch
      		 186,491 2,047,431 10.98×
      timermix
      		 315,955 4,105,866 13.00×
      tlb-shootdown
      		 10,784 36,371 3.37×
      tsc
      		 1,023,932 11,518,349 11.25×
      usersyscall
      		 313,799 3,220,653 10.26×
      vdso
      		 83,326,958 1,181,111,728 14.17×
      vfork
      		 31,674 192,189 6.07×
      x86syscall
      		 2,350,794 23,358,083 9.94×
      yield
      		 8,287,862 8,956,556 1.08×
      zero
      		 1,559,643 15,186,619 9.74×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 16,736 163,421 9.76×
      expmath
      		 2,755 33,870 12.30×
      fma
      		 605,297 7,927,192 13.10×
      fp
      		 127.11 1,513 11.90×
      fractal
      		 5 59.6 11.92×
      hyperbolic
      		 2,860 36,181 12.65×
      logmath
      		 4,687 56,796 12.12×
      matrix
      		 3,174 40,158 12.65×
      matrix-3d
      		 661.04 2,647 4.00×
      monte-carlo
      		 107.37 1,185 11.04×
      mpfr
      		 1,251 10,889 8.71×
      powmath
      		 1,631 19,983 12.25×
      trig
      		 1,761 19,163 10.88×
      veccmp
      		 16,041 131,871 8.22×
      vecfp
      		 1,370 13,607 9.93×
      vecmath
      		 2,245 28,438 12.67×
      vecshuf
      		 579.81 4,992 8.61×
      vecwide
      		 24,438 227,090 9.29×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 7.4 70 9.46×
      bsearch
      		 251.68 2,348 9.33×
      bubblesort
      		 0.8 6.4 8.00×
      fibsearch
      		 288.56 2,955 10.24×
      heapsort
      		 8.6 86.2 10.02×
      hsearch
      		 5,264 50,078 9.51×
      insertionsort
      		 8.4 67.2 8.00×
      malloc
      		 2,294,197 23,922,571 10.43×
      mcontend
      		 123.46 4,549 36.85×
      mergesort
      		 27.4 287.79 10.50×
      qsort
      		 19.4 191.8 9.89×
      skiplist
      		 5,389 60,481 11.22×
      tree
      		 1.6 12.79 7.99×
      MemorySingleMultiScaling
      cache
      		 387,326 570,119 1.47×
      cachehammer
      		 384,088 5,215,999 13.58×
      cacheline
      		 41.16 644.19 15.65×
      l1cache
      		 232.61 2,017 8.67×
      memcpy
      		 392.48 3,173 8.09×
      memrate
      		 1.37 9.19 6.71×
      memthrash
      		 197.15 514.11 2.61×
      ptr-chase
      		 34,098,709 165,845,070 4.86×
      spinmem
      		 398.99 1,193 2.99×
      stream
      		 33.43 3,547 106.12×
      vm
      		 57,704 293,658 5.09×

      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.hfc6.large 24 GiB0
      ecs.hfc6.xlarge 48 GiB0
      ecs.hfc6.2xlarge 816 GiB0
      ecs.hfc6.3xlarge 1224 GiB0
      ecs.hfc6.6xlarge 2448 GiB0
      ecs.hfc6.8xlarge 3264 GiB0
      ecs.hfc6.10xlarge 4096 GiB0

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      ecs.hfc6.4xlarge FAQs