ecs.hfg6.2xlarge by Alibaba Cloud

ecs.hfg6.2xlarge is a ecs.hfg6 family (8 vCPUs, 32 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 8 vCPUs, 32 GiB of memory and 0 GB of storage. The pricing starts at 0.0477 USD per hour.
8 vCPU
32 GiB Memory
Spare SCore
7,647
(All-cores)
1,434
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.hfg6.2xlarge
Description
ecs.hfg6 family (8 vCPUs, 32 GiB RAM, 0 GB storage)
Family
ecs.hfg6
Hw Virt
Status
active
Observed At
2026-10-23T14:57:42.075474

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
- 0.3065 USD/h
Chengdu (CN) / cn-chengdu
0.0583 USD/h 0.307 USD/h
Beijing (CN) / cn-beijing
0.063 USD/h 0.3405 USD/h
Guangzhou (CN) / cn-guangzhou
0.0647 USD/h 0.3405 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.3405 USD/h
Shanghai (CN) / cn-shanghai
- 0.3405 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.3405 USD/h
Heyuan (CN) / cn-heyuan
0.0716 USD/h 0.341 USD/h
Virginia (US) / us-east-1
0.0938 USD/h 0.408 USD/h
Silicon Valley (US) / us-west-1
0.0938 USD/h 0.408 USD/h
London (GB) / eu-west-1
0.09915 USD/h 0.472 USD/h
Frankfurt (DE) / eu-central-1
- 0.492 USD/h
Singapore (SG) / ap-southeast-1
0.10755 USD/h 0.512 USD/h
Jakarta (ID) / ap-southeast-5
0.10755 USD/h 0.512 USD/h
Tokyo (JP) / ap-northeast-1
0.1003 USD/h 0.528 USD/h
Hong Kong (HK) / cn-hongkong
0.1147 USD/h 0.564 USD/h
Riyadh (SA) / me-central-1
- 0.6144 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
32 GiB
Memory Amount Actual
32 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

      An x86_64 dedicated processor instance with balanced memory and compute resources for general-purpose workloads and web serving.

      General PurposeCompute Optimized

      Alibaba Cloud ecs.hfg6.2xlarge is an x86_64 general-purpose server instance featuring 8 dedicated vCPUs from an Intel Xeon 8269CY processor running at 3.1 GHz, paired with 32.0 GB of RAM. Operating on the KVM hypervisor, it lacks local storage and provides a 2 Gbps baseline network bandwidth. Benchmark results place its compute and memory performance consistently in the average tier, with a PassMark CPU score of 8999.79 and a static web serving throughput of 6.99 GB/sec. However, it exhibits poor performance on medium 7B LLM inference tasks, generating only 6.28 tokens per second. This instance is best suited for general-purpose applications, web serving, software compilation, and moderate database operations that do not require local NVMe storage or high-capacity GPU acceleration.

      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) 778,953 ops/sec 1,919,289 ops/sec 0.41 50.00% 50.00% -36.00%
      Redis RPS (pipeline=16, SET) 4,649,658 ops/sec 11,728,058 ops/sec 0.38 20.00% 20.00% -18.00%
      PassMark Memory Mark (composite) 2,320 2,416 0.96 10.00% 10.00% -0.41%
      Memory bandwidth (read, 16 MB ~ L3) 52,808 MB/sec 108,466 MB/sec 0.48 10.00% 10.00% -7.10%
      PassMark single-thread CPU 2,147 Mops/s 2,365 Mops/s 0.88 10.00% 10.00% -1.30%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,247

      Geekbench Multi-Core

      Score: 4,810

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 9,000
      Compression
      		 119,641
      Encryption
      		 3,537
      Extended Instructions
      		 7,075
      Floating Point Maths
      		 13,728
      Integer Maths
      		 25,570
      Physics
      		 986
      Prime Numbers
      		 58
      Single Threaded
      		 2,147
      String Sorting
      		 15,794

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,320
      Database Operations
      		 2,977
      Memory Latency
      		 55
      Memory Read Cached
      		 24,340
      Memory Read Uncached
      		 10,218
      Memory Write
      		 9,959

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 224.29 240 1.07×
      bitops
      		 125,899 560,366 4.45×
      branch
      		 158,316 959,898 6.06×
      funccall
      		 582.18 2,439 4.19×
      funcret
      		 11,743 68,469 5.83×
      hash
      		 133,886 793,157 5.92×
      intmath
      		 23,208 141,048 6.08×
      nop
      		 196,366 680,548 3.47×
      prime
      		 332,406 1,486,102 4.47×
      rotate
      		 99,350 503,879 5.07×
      str
      		 822,101 4,201,316 5.11×
      wcs
      		 521,836 2,379,635 4.56×
      CryptographySingleMultiScaling
      crypt
      		 2,503 9,781 3.91×
      CompressionSingleMultiScaling
      jpeg
      		 637.56 3,120 4.89×
      zlib
      		 53.29 352.6 6.62×
      HypervisorSingleMultiScaling
      clock
      		 16,869 89,608 5.31×
      clone
      		 460.45 1,881 4.08×
      context
      		 1,948 10,398 5.34×
      cpu-sched
      		 68.88 519.23 7.54×
      eventfd
      		 89,239 470,865 5.28×
      fault
      		 13,909 73,309 5.27×
      fork
      		 4,258 23,715 5.57×
      getrandom
      		 46,215 229,171 4.96×
      hrtimers
      		 171,045 828,916 4.85×
      mprotect
      		 840,676 1,236,358 1.47×
      mtx
      		 13,318,909 249,527,724 18.73×
      munmap
      		 3,058 16,021 5.24×
      null
      		 208,567 1,038,886 4.98×
      pipe
      		 980,838 2,553,406 2.60×
      priv-instr
      		 441,106 2,315,223 5.25×
      resched
      		 1,763,501 787,266 0.45×
      switch
      		 172,278 1,069,143 6.21×
      timermix
      		 313,603 2,032,395 6.48×
      tlb-shootdown
      		 10,859 21,116 1.94×
      tsc
      		 1,023,628 5,751,302 5.62×
      usersyscall
      		 308,010 1,609,050 5.22×
      vdso
      		 83,289,204 589,904,260 7.08×
      vfork
      		 30,448 119,177 3.91×
      x86syscall
      		 2,330,002 11,641,727 5.00×
      yield
      		 4,159,870 4,343,098 1.04×
      zero
      		 1,594,449 7,552,194 4.74×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 16,697 81,804 4.90×
      expmath
      		 2,752 16,873 6.13×
      fma
      		 604,423 3,963,407 6.56×
      fp
      		 129.6 754.63 5.82×
      fractal
      		 5 29.8 5.96×
      hyperbolic
      		 2,868 18,056 6.30×
      logmath
      		 4,685 28,283 6.04×
      matrix
      		 3,110 19,939 6.41×
      matrix-3d
      		 647.59 1,909 2.95×
      monte-carlo
      		 107.58 593.52 5.52×
      mpfr
      		 1,257 5,433 4.32×
      powmath
      		 1,630 9,990 6.13×
      trig
      		 1,760 9,526 5.41×
      veccmp
      		 16,014 65,900 4.12×
      vecfp
      		 1,368 6,858 5.01×
      vecmath
      		 2,244 14,192 6.33×
      vecshuf
      		 579.88 2,492 4.30×
      vecwide
      		 25,007 113,430 4.54×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 7.4 34.4 4.65×
      bsearch
      		 256.65 1,170 4.56×
      bubblesort
      		 0.8 3.2 4.00×
      fibsearch
      		 288.57 1,438 4.98×
      heapsort
      		 8.8 42.8 4.86×
      hsearch
      		 5,276 25,441 4.82×
      insertionsort
      		 8.4 33.6 4.00×
      malloc
      		 2,187,159 16,001,176 7.32×
      mcontend
      		 157.65 2,172 13.78×
      mergesort
      		 27.4 143.8 5.25×
      qsort
      		 19.4 95.8 4.94×
      skiplist
      		 5,385 30,585 5.68×
      tree
      		 1.4 6.4 4.57×
      MemorySingleMultiScaling
      cache
      		 340,249 566,894 1.67×
      cachehammer
      		 377,465 2,696,185 7.14×
      cacheline
      		 34.45 296.22 8.60×
      l1cache
      		 233.75 1,009 4.31×
      memcpy
      		 392.11 1,587 4.05×
      memrate
      		 1.17 4.8 4.10×
      memthrash
      		 168.9 309.24 1.83×
      ptr-chase
      		 24,004,399 88,367,921 3.68×
      spinmem
      		 398.19 401.38 1.01×
      stream
      		 29.57 1,190 40.23×
      vm
      		 56,707 291,378 5.14×

      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
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      ecs.hfg6.4xlarge 1664 GiB0
      ecs.hfg6.6xlarge 2496 GiB0
      ecs.hfg6.8xlarge 32128 GiB0
      ecs.hfg6.10xlarge 40192 GiB0

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      ecs.hfg6.2xlarge FAQs