ecs.hfg6.10xlarge by Alibaba Cloud

ecs.hfg6.10xlarge is a ecs.hfg6 family (40 vCPUs, 192 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 40 vCPUs, 192 GiB of memory and 0 GB of storage. The pricing starts at 0.2725 USD per hour.
40 vCPU
192 GiB Memory
Spare SCore
38,378
(All-cores)
1,439
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.hfg6.10xlarge
Description
ecs.hfg6 family (40 vCPUs, 192 GiB RAM, 0 GB storage)
Family
ecs.hfg6
Hw Virt
Status
active
Observed At
2026-10-24T04:54:00.941374

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
0.2911 USD/h 1.5323 USD/h
Chengdu (CN) / cn-chengdu
- 1.5349 USD/h
Beijing (CN) / cn-beijing
- 1.7025 USD/h
Guangzhou (CN) / cn-guangzhou
- 1.7025 USD/h
Hangzhou (CN) / cn-hangzhou
- 1.7025 USD/h
Shenzhen (CN) / cn-shenzhen
- 1.7025 USD/h
Heyuan (CN) / cn-heyuan
0.2725 USD/h 1.703 USD/h
Virginia (US) / us-east-1
0.3876 USD/h 2.04 USD/h
London (GB) / eu-west-1
0.4484 USD/h 2.36 USD/h
Frankfurt (DE) / eu-central-1
0.4674 USD/h 2.46 USD/h
Jakarta (ID) / ap-southeast-5
0.4864 USD/h 2.56 USD/h
Tokyo (JP) / ap-northeast-1
0.5016 USD/h 2.64 USD/h
Hong Kong (HK) / cn-hongkong
- 2.82 USD/h
Riyadh (SA) / me-central-1
- 3.072 USD/h

Processor

vCPUs
40
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
20
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
640 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
640 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
20 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
26.7
Scalability
66.75

System Resources and Accelerators

MEMORY
Memory Amount
192 GiB
Memory Amount Actual
192 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
      12.5 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      High-frequency x86 compute instance with 40 dedicated vCPUs and 192 GB RAM for scalable application execution and memory caching.

      General PurposeCompute Optimized

      Alibaba Cloud ecs.hfg6.10xlarge is an x86_64 instance built on the KVM hypervisor, powered by a 3.1 GHz Intel Xeon 8269CY processor. The instance features 40 dedicated vCPUs, 20 physical cores, and 192.0 GB of system memory. It includes no local SSD storage and zero GPU accelerators, relying on remote storage for persistent data and external network connectivity rated at 12 Gbps baseline bandwidth. Benchmarks demonstrate average multi-core CPU capacity, highlighted by a stress-ng multi-core score of 38,378.07, a Geekbench multi-core score of 12,045.0, and 34.78 million Redis SET operations per second. Static web serving reaches 25.35 GB/sec, while LLM inference generates 76.66 tokens per second on 135M parameter models. The balanced core-to-memory architecture makes this instance suitable for general application serving, Redis in-memory caching, software compilation, and moderate database operations requiring dedicated x86 CPU performance.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.6Score
      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) 3,763,731 ops/sec 1,919,289 ops/sec 2 50.00% 50.00% +41.00%
      Redis RPS (pipeline=16, SET) 20,921,415 ops/sec 11,728,058 ops/sec 1.8 20.00% 20.00% +12.00%
      PassMark Memory Mark (composite) 2,685 2,416 1.1 10.00% 10.00% +0.96%
      Memory bandwidth (read, 16 MB ~ L3) 116,097 MB/sec 108,466 MB/sec 1.1 10.00% 10.00% +0.96%
      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: 1,289

      Geekbench Multi-Core

      Score: 12,045

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 34,692
      Compression
      		 588,958
      Encryption
      		 17,622
      Extended Instructions
      		 35,214
      Floating Point Maths
      		 68,795
      Integer Maths
      		 128,387
      Physics
      		 2,499
      Prime Numbers
      		 161
      Single Threaded
      		 2,166
      String Sorting
      		 74,928

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,685
      Database Operations
      		 14,249
      Memory Latency
      		 52
      Memory Read Cached
      		 24,813
      Memory Read Uncached
      		 10,357
      Memory Write
      		 10,073

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 236.97 206.38 0.87×
      bitops
      		 126,222 2,814,789 22.30×
      branch
      		 158,830 4,823,610 30.37×
      funccall
      		 584.61 12,306 21.05×
      funcret
      		 11,888 344,360 28.97×
      hash
      		 134,714 4,011,687 29.78×
      intmath
      		 23,429 710,856 30.34×
      nop
      		 197,037 3,416,515 17.34×
      prime
      		 332,239 7,442,246 22.40×
      rotate
      		 99,600 2,507,989 25.18×
      str
      		 782,285 20,835,361 26.63×
      wcs
      		 550,876 11,266,346 20.45×
      CryptographySingleMultiScaling
      crypt
      		 2,509 49,048 19.55×
      CompressionSingleMultiScaling
      jpeg
      		 616.1 13,883 22.53×
      zlib
      		 48.26 1,700 35.22×
      HypervisorSingleMultiScaling
      clock
      		 17,254 305,367 17.70×
      clone
      		 429.6 7,276 16.94×
      context
      		 1,945 51,198 26.33×
      cpu-sched
      		 71.76 2,560 35.68×
      eventfd
      		 92,165 1,191,687 12.93×
      fault
      		 14,049 207,825 14.79×
      fork
      		 4,129 83,209 20.15×
      getrandom
      		 46,341 1,151,004 24.84×
      hrtimers
      		 202,409 2,645,689 13.07×
      mprotect
      		 1,102,616 6,135,835 5.56×
      mtx
      		 13,368,400 1,199,988,591 89.76×
      munmap
      		 2,961 61,953 20.93×
      null
      		 208,516 5,084,952 24.39×
      pipe
      		 991,549 11,425,061 11.52×
      priv-instr
      		 449,623 10,821,612 24.07×
      resched
      		 5,475,386 3,767,876 0.69×
      switch
      		 236,173 5,293,056 22.41×
      timermix
      		 351,478 11,932,348 33.95×
      tlb-shootdown
      		 13,702 67,377 4.92×
      tsc
      		 1,026,139 28,867,370 28.13×
      usersyscall
      		 313,475 7,831,126 24.98×
      vdso
      		 83,469,798 2,855,410,615 34.21×
      vfork
      		 30,544 133,514 4.37×
      x86syscall
      		 2,377,017 56,642,179 23.83×
      yield
      		 20,533,857 23,044,429 1.12×
      zero
      		 1,577,962 37,874,856 24.00×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 16,415 409,698 24.96×
      expmath
      		 2,768 84,963 30.70×
      fma
      		 605,480 19,884,495 32.84×
      fp
      		 133.33 3,796 28.47×
      fractal
      		 5 149.23 29.85×
      hyperbolic
      		 2,859 90,660 31.71×
      logmath
      		 4,700 141,931 30.20×
      matrix
      		 3,115 100,592 32.29×
      matrix-3d
      		 662.19 3,301 4.99×
      monte-carlo
      		 107.47 2,959 27.54×
      mpfr
      		 1,261 27,224 21.59×
      powmath
      		 1,636 50,086 30.62×
      trig
      		 1,766 47,054 26.65×
      veccmp
      		 16,052 328,149 20.44×
      vecfp
      		 1,376 34,021 24.72×
      vecmath
      		 2,249 71,242 31.68×
      vecshuf
      		 580.94 12,511 21.54×
      vecwide
      		 26,512 568,873 21.46×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 7.4 170.4 23.03×
      bsearch
      		 256.74 5,891 22.94×
      bubblesort
      		 0.8 16 20.00×
      fibsearch
      		 289.34 7,442 25.72×
      heapsort
      		 9 215.8 23.98×
      hsearch
      		 5,288 126,564 23.93×
      insertionsort
      		 8.4 168 20.00×
      malloc
      		 2,295,239 35,747,309 15.57×
      mcontend
      		 113.65 11,294 99.38×
      mergesort
      		 27.6 698.78 25.32×
      qsort
      		 19.4 474.39 24.45×
      skiplist
      		 5,404 153,188 28.35×
      tree
      		 1.6 23.97 14.98×
      MemorySingleMultiScaling
      cache
      		 387,084 748,841 1.93×
      cachehammer
      		 383,428 11,874,925 30.97×
      cacheline
      		 30.77 2,572 83.58×
      l1cache
      		 233.9 5,002 21.38×
      memcpy
      		 392.6 7,945 20.24×
      memrate
      		 1.37 14.72 10.74×
      memthrash
      		 267.8 898.75 3.36×
      ptr-chase
      		 34,175,628 366,686,996 10.73×
      spinmem
      		 400.59 3,147 7.86×
      stream
      		 33.04 11,072 335.11×
      vm
      		 59,017 298,897 5.06×

      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.hfg6.4xlarge 1664 GiB0
      ecs.hfg6.6xlarge 2496 GiB0
      ecs.hfg6.8xlarge 32128 GiB0

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