ecs.hfg6.3xlarge by Alibaba Cloud

ecs.hfg6.3xlarge is a ecs.hfg6 family (12 vCPUs, 48 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 12 vCPUs, 48 GiB of memory and 0 GB of storage. The pricing starts at 0.0736 USD per hour.
12 vCPU
48 GiB Memory
Spare SCore
11,512
(All-cores)
1,439
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.hfg6.3xlarge
Description
ecs.hfg6 family (12 vCPUs, 48 GiB RAM, 0 GB storage)
Family
ecs.hfg6
Hw Virt
Status
active
Observed At
2026-10-23T18:18:26.220243

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
0.0736 USD/h 0.4597 USD/h
Chengdu (CN) / cn-chengdu
0.0737 USD/h 0.4605 USD/h
Hangzhou (CN) / cn-hangzhou
0.10725 USD/h 0.5108 USD/h
Shenzhen (CN) / cn-shenzhen
0.097 USD/h 0.5108 USD/h
Beijing (CN) / cn-beijing
- 0.5108 USD/h
Guangzhou (CN) / cn-guangzhou
- 0.5108 USD/h
Shanghai (CN) / cn-shanghai
- 0.5108 USD/h
Heyuan (CN) / cn-heyuan
- 0.511 USD/h
Virginia (US) / us-east-1
0.1163 USD/h 0.612 USD/h
Silicon Valley (US) / us-west-1
0.1163 USD/h 0.612 USD/h
London (GB) / eu-west-1
0.1345 USD/h 0.708 USD/h
Frankfurt (DE) / eu-central-1
0.1402 USD/h 0.738 USD/h
Jakarta (ID) / ap-southeast-5
0.1152 USD/h 0.768 USD/h
Singapore (SG) / ap-southeast-1
0.1459 USD/h 0.768 USD/h
Tokyo (JP) / ap-northeast-1
0.1188 USD/h 0.792 USD/h
Hong Kong (HK) / cn-hongkong
0.1269 USD/h 0.846 USD/h
Riyadh (SA) / me-central-1
- 0.9216 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
48 GiB
Memory Amount Actual
48 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 dedicated Intel Xeon instance with a balanced memory-to-core ratio, suitable for web serving, caching, and general-purpose computing.

      General Purpose

      Alibaba Cloud ecs.hfg6.3xlarge is an x86_64 general-purpose server instance featuring a dedicated Intel Xeon 8269CY processor with 12 vCPUs, 6 physical cores, and a 3.1 GHz clock speed. It is configured with 48.0 GB of RAM, 35 MB of L3 cache, and a KVM hypervisor, but lacks local storage and has a baseline network bandwidth of 4 Gbps. Benchmark results indicate average performance across standard compute and memory tasks, with a single-core Geekbench score of 1290.0 and a multi-core score of 6470.0. It achieves 11.25 million operations per second in Redis SET tests and 10.16 GB/sec in static web serving. The instance is suitable for general-purpose workloads, including web serving, caching, and software compilation, though it exhibits weak performance on larger language model inference tasks.

      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) 1,202,107 ops/sec 1,919,289 ops/sec 0.63 50.00% 50.00% -21.00%
      Redis RPS (pipeline=16, SET) 7,232,460 ops/sec 11,728,058 ops/sec 0.6 20.00% 20.00% -9.70%
      PassMark Memory Mark (composite) 2,535 2,416 1 10.00% 10.00% 0.00%
      Memory bandwidth (read, 16 MB ~ L3) 75,524 MB/sec 108,466 MB/sec 0.69 10.00% 10.00% -3.60%
      PassMark single-thread CPU 2,166 Mops/s 2,365 Mops/s 0.92 10.00% 10.00% -0.83%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,290

      Geekbench Multi-Core

      Score: 6,470

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 13,063
      Compression
      		 177,515
      Encryption
      		 5,329
      Extended Instructions
      		 10,618
      Floating Point Maths
      		 20,650
      Integer Maths
      		 38,506
      Physics
      		 1,355
      Prime Numbers
      		 83
      Single Threaded
      		 2,166
      String Sorting
      		 23,519

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,535
      Database Operations
      		 4,513
      Memory Latency
      		 52
      Memory Read Cached
      		 24,930
      Memory Read Uncached
      		 10,377
      Memory Write
      		 10,119

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 255.31 228.76 0.90×
      bitops
      		 126,222 844,114 6.69×
      branch
      		 158,854 1,446,401 9.11×
      funccall
      		 583.9 3,672 6.29×
      funcret
      		 11,799 103,380 8.76×
      hash
      		 134,309 1,192,819 8.88×
      intmath
      		 23,245 212,749 9.15×
      nop
      		 197,024 1,024,753 5.20×
      prime
      		 333,489 2,230,029 6.69×
      rotate
      		 99,591 756,819 7.60×
      str
      		 780,165 6,309,819 8.09×
      wcs
      		 528,082 3,614,000 6.84×
      CryptographySingleMultiScaling
      crypt
      		 2,512 14,722 5.86×
      CompressionSingleMultiScaling
      jpeg
      		 638.77 4,612 7.22×
      zlib
      		 62.79 506.87 8.07×
      HypervisorSingleMultiScaling
      clock
      		 17,756 141,950 7.99×
      clone
      		 442.77 2,663 6.02×
      context
      		 1,961 15,692 8.00×
      cpu-sched
      		 59.24 767.04 12.95×
      eventfd
      		 91,540 715,652 7.82×
      fault
      		 13,949 107,645 7.72×
      fork
      		 4,283 34,863 8.14×
      getrandom
      		 46,358 345,238 7.45×
      hrtimers
      		 564,824 1,342,355 2.38×
      mprotect
      		 964,759 1,882,135 1.95×
      mtx
      		 13,941,527 353,464,484 25.35×
      munmap
      		 3,065 23,335 7.61×
      null
      		 210,572 1,572,199 7.47×
      pipe
      		 991,670 3,751,175 3.78×
      priv-instr
      		 450,431 3,490,647 7.75×
      resched
      		 2,684,698 1,097,663 0.41×
      switch
      		 183,191 1,635,274 8.93×
      timermix
      		 352,905 3,627,759 10.28×
      tlb-shootdown
      		 11,605 29,749 2.56×
      tsc
      		 1,026,324 8,658,563 8.44×
      usersyscall
      		 311,917 2,426,962 7.78×
      vdso
      		 75,394,747 883,502,252 11.72×
      vfork
      		 31,621 164,857 5.21×
      x86syscall
      		 2,379,415 17,573,281 7.39×
      yield
      		 6,613,726 6,605,600 1.00×
      zero
      		 1,575,293 11,464,622 7.28×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 16,135 123,144 7.63×
      expmath
      		 2,764 25,437 9.20×
      fma
      		 606,066 5,960,831 9.84×
      fp
      		 124.8 1,147 9.19×
      fractal
      		 5 44.8 8.96×
      hyperbolic
      		 2,877 27,203 9.46×
      logmath
      		 4,702 42,654 9.07×
      matrix
      		 3,118 30,256 9.70×
      matrix-3d
      		 672.16 2,635 3.92×
      monte-carlo
      		 107.58 890.31 8.28×
      mpfr
      		 1,261 8,196 6.50×
      powmath
      		 1,637 15,025 9.18×
      trig
      		 1,765 14,422 8.17×
      veccmp
      		 16,055 99,588 6.20×
      vecfp
      		 1,374 10,244 7.46×
      vecmath
      		 2,252 21,381 9.49×
      vecshuf
      		 581.23 3,753 6.46×
      vecwide
      		 26,640 170,852 6.41×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 7.4 52.4 7.08×
      bsearch
      		 257.35 1,774 6.89×
      bubblesort
      		 0.8 4.8 6.00×
      fibsearch
      		 289.48 2,215 7.65×
      heapsort
      		 8.8 64.8 7.36×
      hsearch
      		 5,315 38,407 7.23×
      insertionsort
      		 8.4 50.4 6.00×
      malloc
      		 2,335,904 22,753,233 9.74×
      mcontend
      		 137.64 3,344 24.30×
      mergesort
      		 27.6 217.59 7.88×
      qsort
      		 19.4 144.8 7.46×
      skiplist
      		 5,390 45,975 8.53×
      tree
      		 1.6 9.6 6.00×
      MemorySingleMultiScaling
      cache
      		 390,335 720,293 1.85×
      cachehammer
      		 380,434 4,065,580 10.69×
      cacheline
      		 38.15 418.89 10.98×
      l1cache
      		 234.2 1,516 6.47×
      memcpy
      		 393.49 2,390 6.07×
      memrate
      		 1.36 6.9 5.07×
      memthrash
      		 192.2 462.1 2.40×
      ptr-chase
      		 33,924,312 133,142,514 3.92×
      spinmem
      		 397.19 905.13 2.28×
      stream
      		 33.8 2,674 79.11×
      vm
      		 57,440 292,686 5.10×

      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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      INSTANCEvCPUsMEMORYAccelerators
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      ecs.hfg6.6xlarge 2496 GiB0
      ecs.hfg6.8xlarge 32128 GiB0
      ecs.hfg6.10xlarge 40192 GiB0

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      ecs.hfg6.3xlarge FAQs