ecs.hfg5.2xlarge by Alibaba Cloud

ecs.hfg5.2xlarge is a ecs.hfg5 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 last known price was 0.103 USD per hour.
8 vCPU
32 GiB Memory
Spare SCore
7,202
(All-cores)
1,355
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.hfg5.2xlarge
Description
ecs.hfg5 family (8 vCPUs, 32 GiB RAM, 0 GB storage)
Family
ecs.hfg5
Hw Virt
Status
inactive
Observed At
2026-10-28T16:51:40.641409

Availability

REGION / IDSPOTONDEMAND
Virginia (US) / us-east-1
- 0.417 USD/h
Kuala Lumpur (MY) / ap-southeast-3
- 0.46 USD/h
Frankfurt (DE) / eu-central-1
- 0.476 USD/h
Singapore (SG) / ap-southeast-1
- 0.484 USD/h
Jakarta (ID) / ap-southeast-5
- 0.484 USD/h
Hong Kong (HK) / cn-hongkong
- 0.484 USD/h
London (GB) / eu-west-1
- 0.496 USD/h
Silicon Valley (US) / us-west-1
- 0.52 USD/h
Zhangjiakou (CN) / cn-zhangjiakou
- 0.536 USD/h
Dubai (AE) / me-east-1
0.103 USD/h 0.572 USD/h
Chengdu (CN) / cn-chengdu
- 0.65 USD/h
Hohhot (CN) / cn-huhehaote
- 0.65 USD/h
Beijing (CN) / cn-beijing
- 0.73 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.73 USD/h
Qingdao (CN) / cn-qingdao
- 0.73 USD/h
Shanghai (CN) / cn-shanghai
- 0.73 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.73 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
6149
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
22 MiB
CPU L3 Cache Total
22 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, tsc_known_freq, pni, pclmulqdq, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, tsc_deadline_timer, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, abm, 3dnowprefetch, pti, ibrs, ibpb, stibp, fsgsbase, tsc_adjust, bmi1, hle, avx2, smep, bmi2, erms, invpcid, rtm, mpx, avx512f, avx512dq, rdseed, adx, smap, avx512cd, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, arat
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 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated x86_64 virtual server with a balanced vCPU-to-RAM ratio for general-purpose compute and development workloads.

      General Purpose

      Alibaba Cloud ecs.hfg5.2xlarge is a general-purpose virtual machine instance featuring 8 dedicated vCPUs and 32.0 GB of RAM. Powered by an Intel Xeon 6149 processor running at 3.1 GHz on a KVM hypervisor, this instance provides a balanced 1:4 vCPU-to-RAM ratio without bundled local storage or GPU accelerators. Performance benchmarks indicate average multi-core CPU capabilities and solid performance in software compilation, text processing, and small-model LLM prompt processing. However, single-core performance and uncached memory reads are relatively weak. With a baseline network bandwidth of 2 Gbps, this instance is best suited for general-purpose workloads, moderate Redis key-value stores, and development environments rather than high-throughput web serving or intensive database operations.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.39Score
      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) 581,956 ops/sec 1,919,289 ops/sec 0.31 50.00% 50.00% -44.00%
      Redis RPS (pipeline=16, SET) 3,922,860 ops/sec 11,728,058 ops/sec 0.33 20.00% 20.00% -20.00%
      PassMark Memory Mark (composite) 1,716 2,416 0.71 10.00% 10.00% -3.40%
      Memory bandwidth (read, 16 MB ~ L3) 42,246 MB/sec 108,466 MB/sec 0.38 10.00% 10.00% -9.20%
      PassMark single-thread CPU 2,060 Mops/s 2,365 Mops/s 0.88 10.00% 10.00% -1.30%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,088

      Geekbench Multi-Core

      Score: 4,121

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 8,279
      Compression
      		 112,994
      Encryption
      		 3,331
      Extended Instructions
      		 6,464
      Floating Point Maths
      		 12,928
      Integer Maths
      		 24,068
      Physics
      		 723
      Prime Numbers
      		 41
      Single Threaded
      		 2,060
      String Sorting
      		 14,864

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,716
      Database Operations
      		 2,430
      Memory Latency
      		 77
      Memory Read Cached
      		 23,606
      Memory Read Uncached
      		 6,376
      Memory Write
      		 6,897

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 243.04 226.89 0.93×
      bitops
      		 122,926 541,773 4.41×
      branch
      		 149,603 904,160 6.04×
      funccall
      		 550.21 2,336 4.24×
      funcret
      		 11,238 64,988 5.78×
      hash
      		 126,511 742,179 5.87×
      intmath
      		 21,831 133,160 6.10×
      nop
      		 185,687 641,621 3.46×
      prime
      		 316,309 1,440,304 4.55×
      rotate
      		 93,794 476,412 5.08×
      str
      		 736,585 3,890,313 5.28×
      wcs
      		 506,030 2,260,567 4.47×
      CryptographySingleMultiScaling
      crypt
      		 2,368 9,259 3.91×
      CompressionSingleMultiScaling
      jpeg
      		 544.43 2,865 5.26×
      zlib
      		 51.5 297.61 5.78×
      HypervisorSingleMultiScaling
      clock
      		 10,372 59,319 5.72×
      clone
      		 404.77 1,615 3.99×
      context
      		 650.19 3,899 6.00×
      cpu-sched
      		 69.19 510.95 7.38×
      eventfd
      		 30,321 286,796 9.46×
      fault
      		 10,397 57,401 5.52×
      fork
      		 3,072 18,925 6.16×
      getrandom
      		 39,534 200,962 5.08×
      hrtimers
      		 944,881 816,043 0.86×
      mprotect
      		 567,900 613,246 1.08×
      mtx
      		 16,738,713 176,785,743 10.56×
      munmap
      		 2,194 12,781 5.83×
      null
      		 64,044 364,144 5.69×
      pipe
      		 491,866 1,438,549 2.92×
      priv-instr
      		 187,037 1,069,551 5.72×
      resched
      		 928,847 409,668 0.44×
      switch
      		 53,809 764,643 14.21×
      timermix
      		 119,003 837,362 7.04×
      tlb-shootdown
      		 10,562 15,567 1.47×
      tsc
      		 964,691 5,420,768 5.62×
      usersyscall
      		 121,537 691,569 5.69×
      vdso
      		 78,607,322 555,856,912 7.07×
      vfork
      		 20,491 94,111 4.59×
      x86syscall
      		 705,105 3,990,371 5.66×
      yield
      		 2,256,250 2,352,997 1.04×
      zero
      		 593,417 3,520,562 5.93×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 15,892 78,912 4.97×
      expmath
      		 2,611 15,991 6.12×
      fma
      		 478,688 3,306,805 6.91×
      fp
      		 160.8 964.6 6.00×
      fractal
      		 5 30 6.00×
      hyperbolic
      		 2,726 17,008 6.24×
      logmath
      		 4,421 26,647 6.03×
      matrix
      		 2,889 17,692 6.12×
      matrix-3d
      		 488.86 1,462 2.99×
      monte-carlo
      		 42.17 249.66 5.92×
      mpfr
      		 1,202 5,257 4.37×
      powmath
      		 1,546 9,472 6.13×
      trig
      		 1,671 9,131 5.46×
      veccmp
      		 14,965 59,179 3.95×
      vecfp
      		 1,956 9,522 4.87×
      vecmath
      		 2,053 12,952 6.31×
      vecshuf
      		 856.17 3,674 4.29×
      vecwide
      		 51,705 243,180 4.70×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 7 32.4 4.63×
      bsearch
      		 240.54 1,109 4.61×
      bubblesort
      		 0.8 3.2 4.00×
      fibsearch
      		 272.86 1,348 4.94×
      heapsort
      		 8.2 40 4.88×
      hsearch
      		 4,850 24,538 5.06×
      insertionsort
      		 8 31.8 3.98×
      malloc
      		 1,652,949 13,139,952 7.95×
      mcontend
      		 127.74 1,523 11.92×
      mergesort
      		 26 135.6 5.22×
      qsort
      		 18.4 90.4 4.91×
      skiplist
      		 5,073 28,838 5.68×
      tree
      		 1.4 4.8 3.43×
      MemorySingleMultiScaling
      cache
      		 262,130 462,002 1.76×
      cachehammer
      		 381,299 2,662,285 6.98×
      cacheline
      		 32.52 288.1 8.86×
      l1cache
      		 220.29 948.75 4.31×
      memcpy
      		 371.39 1,499 4.04×
      memrate
      		 0.95 4.44 4.67×
      memthrash
      		 96.32 255.4 2.65×
      ptr-chase
      		 14,252,612 63,043,498 4.42×
      spinmem
      		 211.39 339.37 1.61×
      stream
      		 50.55 1,927 38.11×
      vm
      		 16,645 263,292 15.82×

      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

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      ecs.hfg5.2xlarge FAQs