ecs.hfc6.2xlarge by Alibaba Cloud

ecs.hfc6.2xlarge is a ecs.hfc6 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 0.0388 USD per hour.
8 vCPU
16 GiB Memory
Spare SCore
7,646
(All-cores)
1,435
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.hfc6.2xlarge
Description
ecs.hfc6 family (8 vCPUs, 16 GiB RAM, 0 GB storage)
Family
ecs.hfc6
Hw Virt
Status
active
Observed At
2026-10-24T11:32:00.646452

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
- 0.2496 USD/h
Chengdu (CN) / cn-chengdu
0.0475 USD/h 0.2502 USD/h
Heyuan (CN) / cn-heyuan
- 0.277 USD/h
Beijing (CN) / cn-beijing
0.0388 USD/h 0.2773 USD/h
Guangzhou (CN) / cn-guangzhou
0.0527 USD/h 0.2773 USD/h
Shenzhen (CN) / cn-shenzhen
0.0527 USD/h 0.2773 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.2773 USD/h
Shanghai (CN) / cn-shanghai
- 0.2773 USD/h
Virginia (US) / us-east-1
0.07305 USD/h 0.348 USD/h
Silicon Valley (US) / us-west-1
0.07305 USD/h 0.348 USD/h
Frankfurt (DE) / eu-central-1
- 0.396 USD/h
Jakarta (ID) / ap-southeast-5
0.076 USD/h 0.4 USD/h
Singapore (SG) / ap-southeast-1
0.092 USD/h 0.4 USD/h
London (GB) / eu-west-1
0.0783 USD/h 0.412 USD/h
Tokyo (JP) / ap-northeast-1
0.0836 USD/h 0.44 USD/h
Hong Kong (HK) / cn-hongkong
0.0844 USD/h 0.444 USD/h
Riyadh (SA) / me-central-1
- 0.48 USD/h

Processor

vCPUs
8
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
4
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
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
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
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
      2.5 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated compute-optimized instance featuring high-frequency Intel Xeon processors for balanced web serving, compilation, and database operations.

      Compute Optimized

      Alibaba Cloud ecs.hfc6.2xlarge is an x86_64 compute-optimized instance featuring 8 dedicated vCPUs and 16.0 GB of RAM, powered by an Intel Xeon 8269CY processor running at 3.1 GHz. Built on the KVM hypervisor, it allocates 2.0 GB of memory per core and lacks local storage and GPU accelerators, relying on a 2 Gbps baseline network bandwidth. Benchmark data places its processing and memory capabilities in the average tier, with a Geekbench multi-core score of 4795.0 and a Passmark CPU score of 8939.31. The CPU supports AVX-512 instructions, enabling efficient compression and cryptography. However, performance drops significantly on larger workloads like 7B LLM inference due to memory and hardware constraints. This instance is qualitatively cost-efficient for compute-bound tasks with low memory requirements, making it suitable for static web serving, Redis operations, software compilation, and lightweight image processing.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.48Score
      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) 777,832 ops/sec 1,919,289 ops/sec 0.41 50.00% 50.00% -36.00%
      Redis RPS (pipeline=16, SET) 4,547,784 ops/sec 11,728,058 ops/sec 0.38 20.00% 20.00% -18.00%
      PassMark Memory Mark (composite) 1,982 2,416 0.83 10.00% 10.00% -1.80%
      Memory bandwidth (read, 16 MB ~ L3) 56,314 MB/sec 108,466 MB/sec 0.51 10.00% 10.00% -6.50%
      PassMark single-thread CPU 2,146 Mops/s 2,365 Mops/s 0.88 10.00% 10.00% -1.30%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,244

      Geekbench Multi-Core

      Score: 4,795

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 8,939
      Compression
      		 118,475
      Encryption
      		 3,538
      Extended Instructions
      		 7,074
      Floating Point Maths
      		 13,713
      Integer Maths
      		 25,537
      Physics
      		 951
      Prime Numbers
      		 53
      Single Threaded
      		 2,146
      String Sorting
      		 15,721

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,982
      Database Operations
      		 2,943
      Memory Latency
      		 56
      Memory Read Cached
      		 24,756
      Memory Read Uncached
      		 9,727
      Memory Write
      		 9,679

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 236.53 247.01 1.04×
      bitops
      		 125,922 560,088 4.45×
      branch
      		 158,356 959,999 6.06×
      funccall
      		 582 2,440 4.19×
      funcret
      		 11,631 68,664 5.90×
      hash
      		 134,444 794,760 5.91×
      intmath
      		 23,039 141,236 6.13×
      nop
      		 196,471 680,812 3.47×
      prime
      		 331,543 1,484,446 4.48×
      rotate
      		 99,312 503,430 5.07×
      str
      		 853,644 4,068,082 4.77×
      wcs
      		 533,393 2,335,153 4.38×
      CryptographySingleMultiScaling
      crypt
      		 2,505 9,782 3.91×
      CompressionSingleMultiScaling
      jpeg
      		 634.7 3,092 4.87×
      zlib
      		 53.13 336.38 6.33×
      HypervisorSingleMultiScaling
      clock
      		 16,760 89,466 5.34×
      clone
      		 453.01 1,857 4.10×
      context
      		 1,938 10,427 5.38×
      cpu-sched
      		 68.61 504.51 7.35×
      eventfd
      		 91,267 474,174 5.20×
      fault
      		 13,931 73,180 5.25×
      fork
      		 4,262 24,104 5.66×
      getrandom
      		 46,178 229,172 4.96×
      hrtimers
      		 196,726 831,598 4.23×
      mprotect
      		 839,343 1,235,928 1.47×
      mtx
      		 13,038,851 241,537,448 18.52×
      munmap
      		 3,061 15,968 5.22×
      null
      		 212,956 1,039,727 4.88×
      pipe
      		 875,567 2,536,167 2.90×
      priv-instr
      		 443,434 2,323,137 5.24×
      resched
      		 1,783,032 740,207 0.42×
      switch
      		 180,161 1,075,610 5.97×
      timermix
      		 315,843 2,035,332 6.44×
      tlb-shootdown
      		 10,250 21,033 2.05×
      tsc
      		 1,023,715 5,749,917 5.62×
      usersyscall
      		 310,285 1,614,117 5.20×
      vdso
      		 83,282,766 587,945,657 7.06×
      vfork
      		 30,440 119,851 3.94×
      x86syscall
      		 2,383,381 11,657,756 4.89×
      yield
      		 4,307,030 4,472,877 1.04×
      zero
      		 1,578,735 7,533,179 4.77×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 16,736 82,004 4.90×
      expmath
      		 2,754 16,922 6.14×
      fma
      		 604,701 3,957,866 6.55×
      fp
      		 122.4 747.85 6.11×
      fractal
      		 5 29.8 5.96×
      hyperbolic
      		 2,857 18,010 6.30×
      logmath
      		 4,689 28,262 6.03×
      matrix
      		 3,112 19,938 6.41×
      matrix-3d
      		 631.7 1,920 3.04×
      monte-carlo
      		 107.39 592.43 5.52×
      mpfr
      		 1,256 5,438 4.33×
      powmath
      		 1,633 9,987 6.12×
      trig
      		 1,758 9,555 5.44×
      veccmp
      		 15,995 66,002 4.13×
      vecfp
      		 1,369 6,843 5.00×
      vecmath
      		 2,243 14,187 6.33×
      vecshuf
      		 579.32 2,491 4.30×
      vecwide
      		 26,807 113,385 4.23×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 7.4 34.4 4.65×
      bsearch
      		 254.33 1,174 4.61×
      bubblesort
      		 0.8 3.2 4.00×
      fibsearch
      		 288.38 1,448 5.02×
      heapsort
      		 8.6 43 5.00×
      hsearch
      		 5,266 25,200 4.79×
      insertionsort
      		 8.4 33.6 4.00×
      malloc
      		 2,151,874 16,024,052 7.45×
      mcontend
      		 146.26 2,161 14.78×
      mergesort
      		 27.4 144.8 5.28×
      qsort
      		 19.4 95.8 4.94×
      skiplist
      		 5,378 30,306 5.63×
      tree
      		 1.4 6.4 4.57×
      MemorySingleMultiScaling
      cache
      		 329,495 455,099 1.38×
      cachehammer
      		 375,216 2,705,433 7.21×
      cacheline
      		 33.45 292.47 8.74×
      l1cache
      		 232.98 1,008 4.33×
      memcpy
      		 392.19 1,588 4.05×
      memrate
      		 1.17 4.79 4.09×
      memthrash
      		 133.38 303.87 2.28×
      ptr-chase
      		 19,982,454 85,689,731 4.29×
      spinmem
      		 399.79 646.96 1.62×
      stream
      		 28.99 1,176 40.56×
      vm
      		 58,930 291,380 4.94×

      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.hfc6.3xlarge 1224 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.hfc6.2xlarge FAQs