ecs.hfg6.8xlarge by Alibaba Cloud

ecs.hfg6.8xlarge is a ecs.hfg6 family (32 vCPUs, 128 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 32 vCPUs, 128 GiB of memory and 0 GB of storage. The pricing starts at 0.2333 USD per hour.
32 vCPU
128 GiB Memory
Spare SCore
30,666
(All-cores)
1,437
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.hfg6.8xlarge
Description
ecs.hfg6 family (32 vCPUs, 128 GiB RAM, 0 GB storage)
Family
ecs.hfg6
Hw Virt
Status
active
Observed At
2026-10-23T11:32:59.795768

Availability

REGION / IDSPOTONDEMAND
Chengdu (CN) / cn-chengdu
0.2333 USD/h 1.2279 USD/h
Guangzhou (CN) / cn-guangzhou
0.2588 USD/h 1.362 USD/h
Beijing (CN) / cn-beijing
- 1.362 USD/h
Hangzhou (CN) / cn-hangzhou
- 1.362 USD/h
Heyuan (CN) / cn-heyuan
- 1.362 USD/h
Shanghai (CN) / cn-shanghai
- 1.362 USD/h
Shenzhen (CN) / cn-shenzhen
- 1.362 USD/h
Virginia (US) / us-east-1
- 1.632 USD/h
London (GB) / eu-west-1
0.3587 USD/h 1.888 USD/h
Frankfurt (DE) / eu-central-1
- 1.968 USD/h
Jakarta (ID) / ap-southeast-5
- 2.048 USD/h
Tokyo (JP) / ap-northeast-1
0.4013 USD/h 2.112 USD/h
Hong Kong (HK) / cn-hongkong
0.3384 USD/h 2.256 USD/h
Riyadh (SA) / me-central-1
- 2.4576 USD/h

Processor

vCPUs
32
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
16
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
512 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
512 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
16 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
21.3
Scalability
66.56

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
      10 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      High-frequency 32-vCPU x86 instance offering 128 GB memory and 10 Gbps network capacity for enterprise general workloads.

      General PurposeCompute Optimized

      Alibaba Cloud ecs.hfg6.8xlarge is a general-purpose compute instance equipped with 32 vCPUs and 128.0 GB of RAM, powered by a 3.1 GHz Intel Xeon 8269CY processor built on the x86_64 architecture and KVM hypervisor. Featuring 16 physical cores with Hyper-Threading, 35 MB of L3 cache, and AVX-512 extensions including VNNI, this instance provides steady multi-core execution for broad application requirements. It features 10 Gbps baseline network bandwidth without integrated local disk storage. Benchmark evaluations show multi-threaded performance with a PassMark CPU score of 29,517.51, Redis SET handling at 28.91 million operations per second, and web serving throughput reaching 21.45 GB/sec. Uncached large-block memory read bandwidth measures 109.89 GB/sec. The balanced 1:4 core-to-memory allocation makes it efficient for software compilation, static web serving, enterprise backend services, and database workloads relying on external network storage.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.4Score
      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) 3,106,642 ops/sec 1,919,289 ops/sec 1.6 50.00% 50.00% +26.00%
      Redis RPS (pipeline=16, SET) 17,568,561 ops/sec 11,728,058 ops/sec 1.5 20.00% 20.00% +8.40%
      PassMark Memory Mark (composite) 2,616 2,416 1.1 10.00% 10.00% +0.96%
      Memory bandwidth (read, 16 MB ~ L3) 117,311 MB/sec 108,466 MB/sec 1.1 10.00% 10.00% +0.96%
      PassMark single-thread CPU 2,156 Mops/s 2,365 Mops/s 0.92 10.00% 10.00% -0.83%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,287

      Geekbench Multi-Core

      Score: 11,107

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 29,518
      Compression
      		 470,453
      Encryption
      		 14,169
      Extended Instructions
      		 28,692
      Floating Point Maths
      		 55,024
      Integer Maths
      		 102,484
      Physics
      		 2,378
      Prime Numbers
      		 142
      Single Threaded
      		 2,156
      String Sorting
      		 61,443

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,616
      Database Operations
      		 11,443
      Memory Latency
      		 52
      Memory Read Cached
      		 24,435
      Memory Read Uncached
      		 10,061
      Memory Write
      		 9,823

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 235.47 212.63 0.90×
      bitops
      		 126,009 2,247,234 17.83×
      branch
      		 158,333 3,854,377 24.34×
      funccall
      		 583.39 9,825 16.84×
      funcret
      		 11,814 275,667 23.33×
      hash
      		 134,563 3,191,423 23.72×
      intmath
      		 23,538 566,068 24.05×
      nop
      		 196,638 2,730,240 13.88×
      prime
      		 332,604 5,939,514 17.86×
      rotate
      		 99,428 2,003,356 20.15×
      str
      		 852,881 17,400,022 20.40×
      wcs
      		 533,533 9,631,175 18.05×
      CryptographySingleMultiScaling
      crypt
      		 2,505 39,206 15.65×
      CompressionSingleMultiScaling
      jpeg
      		 615.16 11,831 19.23×
      zlib
      		 48.64 1,376 28.28×
      HypervisorSingleMultiScaling
      clock
      		 16,483 274,175 16.63×
      clone
      		 441.45 6,566 14.87×
      context
      		 1,953 41,221 21.10×
      cpu-sched
      		 63.37 1,998 31.53×
      eventfd
      		 90,649 990,497 10.93×
      fault
      		 13,892 209,855 15.11×
      fork
      		 4,080 69,261 16.98×
      getrandom
      		 46,253 919,306 19.88×
      hrtimers
      		 285,150 2,625,663 9.21×
      mprotect
      		 1,115,569 4,954,144 4.44×
      mtx
      		 13,057,922 1,003,754,713 76.87×
      munmap
      		 2,996 51,607 17.22×
      null
      		 212,655 4,117,408 19.36×
      pipe
      		 982,850 7,651,590 7.79×
      priv-instr
      		 444,132 9,054,012 20.39×
      resched
      		 5,240,516 2,965,579 0.57×
      switch
      		 176,806 4,257,552 24.08×
      timermix
      		 312,959 8,087,219 25.84×
      tlb-shootdown
      		 11,139 59,600 5.35×
      tsc
      		 1,024,496 23,063,895 22.51×
      usersyscall
      		 309,416 6,373,576 20.60×
      vdso
      		 83,412,596 2,351,414,914 28.19×
      vfork
      		 30,563 154,316 5.05×
      x86syscall
      		 2,379,211 45,983,890 19.33×
      yield
      		 16,581,410 18,172,514 1.10×
      zero
      		 1,597,829 30,520,922 19.10×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 16,731 323,935 19.36×
      expmath
      		 2,759 67,924 24.62×
      fma
      		 605,158 15,891,479 26.26×
      fp
      		 127.2 3,000 23.59×
      fractal
      		 5 119.22 23.84×
      hyperbolic
      		 2,873 72,473 25.23×
      logmath
      		 4,691 113,288 24.15×
      matrix
      		 3,110 80,356 25.84×
      matrix-3d
      		 649.66 3,456 5.32×
      monte-carlo
      		 107.43 2,366 22.02×
      mpfr
      		 1,257 21,810 17.35×
      powmath
      		 1,632 39,994 24.50×
      trig
      		 1,762 38,422 21.81×
      veccmp
      		 16,030 264,096 16.48×
      vecfp
      		 1,372 27,195 19.82×
      vecmath
      		 2,246 56,935 25.35×
      vecshuf
      		 579.98 9,997 17.24×
      vecwide
      		 25,861 454,667 17.58×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 7.4 139.2 18.81×
      bsearch
      		 256.36 4,584 17.88×
      bubblesort
      		 0.8 12.8 16.00×
      fibsearch
      		 288.92 5,930 20.52×
      heapsort
      		 8.8 171.2 19.45×
      hsearch
      		 5,284 101,794 19.26×
      insertionsort
      		 8.4 134.4 16.00×
      malloc
      		 2,314,447 34,530,520 14.92×
      mcontend
      		 113.47 8,987 79.20×
      mergesort
      		 27.4 564.18 20.59×
      qsort
      		 19.4 383.59 19.77×
      skiplist
      		 5,350 122,184 22.84×
      tree
      		 1.4 19.18 13.70×
      MemorySingleMultiScaling
      cache
      		 386,564 606,981 1.57×
      cachehammer
      		 385,137 9,837,817 25.54×
      cacheline
      		 31.57 2,447 77.50×
      l1cache
      		 233.3 4,019 17.23×
      memcpy
      		 392.28 6,354 16.20×
      memrate
      		 1.37 11.92 8.70×
      memthrash
      		 225.28 827.83 3.67×
      ptr-chase
      		 34,722,518 303,191,029 8.73×
      spinmem
      		 399.79 2,577 6.45×
      stream
      		 33.11 8,921 269.45×
      vm
      		 57,109 297,330 5.21×

      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

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      ecs.hfg6.3xlarge 1248 GiB0
      ecs.hfg6.4xlarge 1664 GiB0
      ecs.hfg6.6xlarge 2496 GiB0
      ecs.hfg6.10xlarge 40192 GiB0

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