ecs.hfc6.3xlarge by Alibaba Cloud

ecs.hfc6.3xlarge is a ecs.hfc6 family (12 vCPUs, 24 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 12 vCPUs, 24 GiB of memory and 0 GB of storage. The pricing starts at 0.0563 USD per hour.
12 vCPU
24 GiB Memory
Spare SCore
11,492
(All-cores)
1,437
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.hfc6.3xlarge
Description
ecs.hfc6 family (12 vCPUs, 24 GiB RAM, 0 GB storage)
Family
ecs.hfc6
Hw Virt
Status
active
Observed At
2026-10-24T15:16:59.073989

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
- 0.3744 USD/h
Chengdu (CN) / cn-chengdu
0.0563 USD/h 0.3753 USD/h
Beijing (CN) / cn-beijing
0.0666 USD/h 0.416 USD/h
Shenzhen (CN) / cn-shenzhen
0.0666 USD/h 0.416 USD/h
Guangzhou (CN) / cn-guangzhou
- 0.416 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.416 USD/h
Heyuan (CN) / cn-heyuan
- 0.416 USD/h
Shanghai (CN) / cn-shanghai
- 0.416 USD/h
Silicon Valley (US) / us-west-1
0.0992 USD/h 0.522 USD/h
Virginia (US) / us-east-1
- 0.522 USD/h
Frankfurt (DE) / eu-central-1
- 0.594 USD/h
Jakarta (ID) / ap-southeast-5
0.09 USD/h 0.6 USD/h
Singapore (SG) / ap-southeast-1
0.114 USD/h 0.6 USD/h
London (GB) / eu-west-1
0.0927 USD/h 0.618 USD/h
Tokyo (JP) / ap-northeast-1
0.099 USD/h 0.66 USD/h
Hong Kong (HK) / cn-hongkong
0.0999 USD/h 0.666 USD/h
Riyadh (SA) / me-central-1
- 0.72 USD/h

Processor

vCPUs
12
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
6
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
192 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
192 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
6 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
8
Scalability
66.67

System Resources and Accelerators

MEMORY
Memory Amount
24 GiB
Memory Amount Actual
24 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
      4 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 Intel Xeon processors and AVX-512 support for compute-bound workloads without local storage requirements.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.hfc6.3xlarge is a compute-optimized virtual machine instance built on the x86_64 architecture and powered by the KVM hypervisor. It features an Intel Xeon 8269CY processor running at 3.1 GHz, delivering 12 dedicated vCPUs across 6 physical cores, paired with 24.0 GB of system memory. The processor supports AVX-512 instructions, enhancing vector and matrix calculations. Lacking local storage and GPUs, the instance relies on network-attached storage and features a 4 Gbps baseline network bandwidth. Benchmark results show average performance, including a Passmark CPU score of 13054.11 and a Redis SET throughput of 11.24 million operations per second. While highly capable for compute-bound tasks, its 2.0 GB of memory per core presents a tradeoff for memory-intensive applications. It is best suited for web serving, software compilation, and lightweight database operations.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.68Score
      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) 1,189,586 ops/sec 1,919,289 ops/sec 0.63 50.00% 50.00% -21.00%
      Redis RPS (pipeline=16, SET) 7,210,365 ops/sec 11,728,058 ops/sec 0.6 20.00% 20.00% -9.70%
      PassMark Memory Mark (composite) 2,369 2,416 1 10.00% 10.00% 0.00%
      Memory bandwidth (read, 16 MB ~ L3) 75,080 MB/sec 108,466 MB/sec 0.68 10.00% 10.00% -3.80%
      PassMark single-thread CPU 2,153 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: 6,420

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 13,054
      Compression
      		 177,394
      Encryption
      		 5,320
      Extended Instructions
      		 10,662
      Floating Point Maths
      		 20,623
      Integer Maths
      		 38,457
      Physics
      		 1,328
      Prime Numbers
      		 82
      Single Threaded
      		 2,153
      String Sorting
      		 23,781

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,369
      Database Operations
      		 4,431
      Memory Latency
      		 52
      Memory Read Cached
      		 24,597
      Memory Read Uncached
      		 10,283
      Memory Write
      		 9,966

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 237.56 229.81 0.97×
      bitops
      		 126,048 842,539 6.68×
      branch
      		 158,576 1,444,506 9.11×
      funccall
      		 583.89 3,665 6.28×
      funcret
      		 11,793 103,013 8.73×
      hash
      		 134,549 1,192,720 8.86×
      intmath
      		 22,995 212,077 9.22×
      nop
      		 196,833 1,023,057 5.20×
      prime
      		 332,176 2,226,480 6.70×
      rotate
      		 99,450 754,565 7.59×
      str
      		 853,644 6,546,964 7.67×
      wcs
      		 534,331 3,533,263 6.61×
      CryptographySingleMultiScaling
      crypt
      		 2,507 14,698 5.86×
      CompressionSingleMultiScaling
      jpeg
      		 635.31 4,581 7.21×
      zlib
      		 60.34 516.49 8.56×
      HypervisorSingleMultiScaling
      clock
      		 16,817 128,675 7.65×
      clone
      		 473.36 2,768 5.85×
      context
      		 1,938 15,600 8.05×
      cpu-sched
      		 66.51 775.06 11.65×
      eventfd
      		 83,016 690,723 8.32×
      fault
      		 13,871 106,010 7.64×
      fork
      		 4,247 34,299 8.08×
      getrandom
      		 46,270 344,449 7.44×
      hrtimers
      		 155,813 1,205,381 7.74×
      mprotect
      		 957,587 1,883,041 1.97×
      mtx
      		 12,181,217 374,140,864 30.71×
      munmap
      		 3,035 22,993 7.58×
      null
      		 207,884 1,564,894 7.53×
      pipe
      		 896,155 3,711,524 4.14×
      priv-instr
      		 446,804 3,459,556 7.74×
      resched
      		 2,613,945 1,137,494 0.44×
      switch
      		 175,208 1,605,160 9.16×
      timermix
      		 313,317 3,063,457 9.78×
      tlb-shootdown
      		 10,564 29,277 2.77×
      tsc
      		 1,025,129 8,644,304 8.43×
      usersyscall
      		 310,497 2,421,563 7.80×
      vdso
      		 83,404,645 849,340,121 10.18×
      vfork
      		 31,825 162,388 5.10×
      x86syscall
      		 2,356,519 17,485,773 7.42×
      yield
      		 6,579,898 6,692,498 1.02×
      zero
      		 1,583,604 11,485,215 7.25×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 16,684 122,752 7.36×
      expmath
      		 2,761 25,457 9.22×
      fma
      		 605,450 5,950,541 9.83×
      fp
      		 129.6 1,130 8.72×
      fractal
      		 5 44.8 8.96×
      hyperbolic
      		 2,870 27,144 9.46×
      logmath
      		 4,695 42,469 9.04×
      matrix
      		 3,113 30,215 9.71×
      matrix-3d
      		 669.52 2,301 3.44×
      monte-carlo
      		 107.26 890.44 8.30×
      mpfr
      		 1,259 8,175 6.49×
      powmath
      		 1,632 15,025 9.21×
      trig
      		 1,767 14,377 8.14×
      veccmp
      		 16,016 99,473 6.21×
      vecfp
      		 1,372 10,239 7.46×
      vecmath
      		 2,244 21,340 9.51×
      vecshuf
      		 579.98 3,745 6.46×
      vecwide
      		 24,973 170,382 6.82×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 7.4 52.4 7.08×
      bsearch
      		 256.83 1,760 6.85×
      bubblesort
      		 0.8 4.8 6.00×
      fibsearch
      		 289.12 2,203 7.62×
      heapsort
      		 8.6 64.8 7.53×
      hsearch
      		 5,278 38,291 7.25×
      insertionsort
      		 8.4 50.4 6.00×
      malloc
      		 2,277,271 21,438,730 9.41×
      mcontend
      		 138.01 3,305 23.95×
      mergesort
      		 27.4 215.79 7.88×
      qsort
      		 19.4 144.2 7.43×
      skiplist
      		 5,396 45,648 8.46×
      tree
      		 1.4 9.6 6.86×
      MemorySingleMultiScaling
      cache
      		 387,455 704,953 1.82×
      cachehammer
      		 384,862 3,989,699 10.37×
      cacheline
      		 36.35 417.58 11.49×
      l1cache
      		 231.07 1,512 6.54×
      memcpy
      		 392.79 2,383 6.07×
      memrate
      		 1.36 6.87 5.05×
      memthrash
      		 191.05 419.9 2.20×
      ptr-chase
      		 35,541,703 130,766,541 3.68×
      spinmem
      		 400.59 850.23 2.12×
      stream
      		 33.34 2,312 69.35×
      vm
      		 58,789 292,487 4.98×

      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.hfc6.4xlarge 1632 GiB0
      ecs.hfc6.6xlarge 2448 GiB0
      ecs.hfc6.8xlarge 3264 GiB0
      ecs.hfc6.10xlarge 4096 GiB0

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      ecs.hfc6.3xlarge FAQs