ecs.hfc6.16xlarge by Alibaba Cloud

ecs.hfc6.16xlarge is a ecs.hfc6 family (64 vCPUs, 128 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 64 vCPUs, 128 GiB of memory and 0 GB of storage. The pricing starts at 0.3549 USD per hour.
64 vCPU
128 GiB Memory
Spare SCore
61,243
(All-cores)
1,435
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.hfc6.16xlarge
Description
ecs.hfc6 family (64 vCPUs, 128 GiB RAM, 0 GB storage)
Family
ecs.hfc6
Hw Virt
Status
active
Observed At
2026-10-27T14:41:34.236819

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
- 1.9966 USD/h
Chengdu (CN) / cn-chengdu
- 2.0018 USD/h
Heyuan (CN) / cn-heyuan
0.3549 USD/h 2.218 USD/h
Beijing (CN) / cn-beijing
0.355 USD/h 2.2185 USD/h
Guangzhou (CN) / cn-guangzhou
0.355 USD/h 2.2185 USD/h
Hangzhou (CN) / cn-hangzhou
- 2.2185 USD/h
Shanghai (CN) / cn-shanghai
- 2.2185 USD/h
Shenzhen (CN) / cn-shenzhen
- 2.2185 USD/h
Frankfurt (DE) / eu-central-1
- 3.168 USD/h
Jakarta (ID) / ap-southeast-5
0.608 USD/h 3.2 USD/h
London (GB) / eu-west-1
0.6262 USD/h 3.296 USD/h
Tokyo (JP) / ap-northeast-1
0.528 USD/h 3.52 USD/h
Hong Kong (HK) / cn-hongkong
- 3.552 USD/h
Riyadh (SA) / me-central-1
- 3.84 USD/h

Processor

vCPUs
64
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
32
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
1 MiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
1 MiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
32 MiB
CPU L3 Cache
36 MiB
CPU L3 Cache Total
72 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
42.7
Scalability
66.72

System Resources and Accelerators

MEMORY
Memory Amount
128 GiB
Memory Amount Actual
128 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
      20 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A high-density compute instance featuring dedicated Intel Xeon processors, optimized for multi-threaded decompression and database operations without local storage overhead.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.hfc6.16xlarge is a compute-optimized instance featuring 64 dedicated vCPUs and 128.0 GB of RAM, powered by an Intel Xeon 8269CY processor running at 3.1 GHz. Built on the KVM hypervisor, this x86_64 server lacks local storage and GPUs, instead offering a 20 Gbps baseline network bandwidth. Performance benchmarks indicate strong capabilities in multi-threaded bzip3 decompression, large-block read-only memory bandwidth, and PassMark database operations, all placing in the top 25 percent. Standard compute tasks, including stress-ng and Redis SET operations, perform in the average range, while LLM text generation is a relative bottleneck. This instance provides a cost-efficient profile for CPU-intensive workloads like database operations, web serving, and data decompression that do not require local SSDs or hardware acceleration.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      2.4Score
      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) 6,179,949 ops/sec 1,918,343 ops/sec 3.3 50.00% 50.00% +82.00%
      Redis RPS (pipeline=16, SET) 34,510,235 ops/sec 11,704,734 ops/sec 2.9 20.00% 20.00% +24.00%
      PassMark Memory Mark (composite) 2,691 2,416 1.1 10.00% 10.00% +0.96%
      Memory bandwidth (read, 16 MB ~ L3) 223,741 MB/sec 108,420 MB/sec 2 10.00% 10.00% +7.20%
      PassMark single-thread CPU 2,143 Mops/s 2,365 Mops/s 0.88 10.00% 10.00% -1.30%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,280

      Geekbench Multi-Core

      Score: 12,682

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      49,037
      Compression
      937,580
      Encryption
      28,311
      Extended Instructions
      57,137
      Floating Point Maths
      109,869
      Integer Maths
      204,854
      Physics
      4,152
      Prime Numbers
      260
      Single Threaded
      2,143
      String Sorting
      120,746

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      2,691
      Database Operations
      22,550
      Memory Latency
      52
      Memory Read Cached
      24,712
      Memory Read Uncached
      10,265
      Memory Write
      9,860

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      246.62 165.89 0.67×
      bitops
      125,940 4,485,764 35.62×
      branch
      158,328 7,696,378 48.61×
      funccall
      580.52 19,635 33.82×
      funcret
      11,745 549,911 46.82×
      hash
      134,346 6,360,975 47.35×
      intmath
      22,974 1,128,566 49.12×
      nop
      196,616 5,453,567 27.74×
      prime
      332,463 11,879,249 35.73×
      rotate
      99,269 4,000,406 40.30×
      str
      806,803 32,168,694 39.87×
      wcs
      550,318 19,072,006 34.66×
      CryptographySingleMultiScaling
      crypt
      2,490 78,355 31.46×
      CompressionSingleMultiScaling
      jpeg
      611.75 22,394 36.61×
      zlib
      48.13 2,695 55.99×
      HypervisorSingleMultiScaling
      clock
      15,718 136,585 8.69×
      clone
      427.98 7,336 17.14×
      context
      1,947 82,224 42.24×
      cpu-sched
      66.61 3,668 55.07×
      eventfd
      89,504 1,898,054 21.21×
      fault
      13,710 100,821 7.35×
      fork
      4,002 48,536 12.13×
      getrandom
      46,208 1,835,889 39.73×
      hrtimers
      128,374 1,342,009 10.45×
      mprotect
      576,221 9,349,206 16.23×
      mtx
      12,365,401 1,740,070,346 140.72×
      munmap
      2,920 68,250 23.38×
      null
      213,005 8,218,024 38.58×
      pipe
      981,548 12,197,887 12.43×
      priv-instr
      443,078 10,372,745 23.41×
      resched
      4,444,244 5,882,634 1.32×
      switch
      190,410 8,084,779 42.46×
      timermix
      312,581 15,979,853 51.12×
      tlb-shootdown
      7,899 88,497 11.20×
      tsc
      1,023,488 46,046,489 44.99×
      usersyscall
      311,784 8,571,820 27.49×
      vdso
      83,335,254 4,705,026,335 56.46×
      vfork
      29,095 68,685 2.36×
      x86syscall
      2,327,103 91,695,137 39.40×
      yield
      33,360,427 36,501,595 1.09×
      zero
      1,588,401 60,800,258 38.28×
      CPU float/SIMDSingleMultiScaling
      eigen
      16,676 651,793 39.09×
      expmath
      2,755 135,702 49.26×
      fma
      604,084 31,744,395 52.55×
      fp
      132 6,056 45.88×
      fractal
      5 237.51 47.50×
      hyperbolic
      2,839 144,730 50.98×
      logmath
      4,690 226,505 48.29×
      matrix
      3,107 160,386 51.61×
      matrix-3d
      682.65 5,935 8.69×
      monte-carlo
      107.82 4,738 43.94×
      mpfr
      1,254 43,594 34.76×
      powmath
      1,630 80,027 49.11×
      trig
      1,759 76,685 43.59×
      veccmp
      16,037 525,879 32.79×
      vecfp
      1,371 54,338 39.63×
      vecmath
      2,242 113,755 50.73×
      vecshuf
      578.82 19,939 34.45×
      vecwide
      26,452 908,643 34.35×
      AlgorithmsSingleMultiScaling
      bitonicsort
      7.4 272.39 36.81×
      bsearch
      256.18 9,283 36.24×
      bubblesort
      0.8 25.6 32.00×
      fibsearch
      288.61 11,837 41.01×
      heapsort
      8.6 344.99 40.12×
      hsearch
      5,143 206,605 40.17×
      insertionsort
      8.4 268.8 32.00×
      malloc
      2,250,263 47,063,885 20.91×
      mcontend
      72.6 16,116 221.98×
      mergesort
      27.4 1,128 41.15×
      qsort
      19.4 765.58 39.46×
      skiplist
      5,390 243,766 45.23×
      tree
      1.6 38.37 23.98×
      MemorySingleMultiScaling
      cache
      228,851 1,166,262 5.10×
      cachehammer
      367,076 12,016,059 32.73×
      cacheline
      18.54 1,483 79.97×
      l1cache
      233.19 7,674 32.91×
      memcpy
      392.28 12,724 32.44×
      memrate
      1.37 22.51 16.43×
      memthrash
      226.52 1,114 4.92×
      ptr-chase
      35,677,313 562,039,813 15.75×
      spinmem
      400.99 4,888 12.19×
      stream
      15.06 14,377 954.68×
      vm
      56,658 304,034 5.37×

      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

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      ecs.hfc6.3xlarge 1224 GiB0
      ecs.hfc6.4xlarge 1632 GiB0
      ecs.hfc6.6xlarge 2448 GiB0
      ecs.hfc6.8xlarge 3264 GiB0

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      ecs.hfc6.16xlarge FAQs