ecs.hfr6.2xlarge by Alibaba Cloud

ecs.hfr6.2xlarge is a ecs.hfr6 family (8 vCPUs, 64 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 8 vCPUs, 64 GiB of memory and 0 GB of storage. The pricing starts at 0.0536 USD per hour.
8 vCPU
64 GiB Memory
Spare SCore
7,662
(All-cores)
1,437
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.hfr6.2xlarge
Description
ecs.hfr6 family (8 vCPUs, 64 GiB RAM, 0 GB storage)
Family
ecs.hfr6
Hw Virt
Status
active
Observed At
2026-10-24T11:32:00.646576

Availability

REGION / IDSPOTONDEMAND
Chengdu (CN) / cn-chengdu
- 0.4063 USD/h
Ulanqab (CN) / cn-wulanchabu
- 0.4063 USD/h
Heyuan (CN) / cn-heyuan
0.0767 USD/h 0.451 USD/h
Guangzhou (CN) / cn-guangzhou
0.0677 USD/h 0.4514 USD/h
Shanghai (CN) / cn-shanghai
0.0858 USD/h 0.4514 USD/h
Beijing (CN) / cn-beijing
- 0.4514 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.4514 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.4514 USD/h
Virginia (US) / us-east-1
0.0536 USD/h 0.536 USD/h
Silicon Valley (US) / us-west-1
0.0536 USD/h 0.536 USD/h
London (GB) / eu-west-1
0.1201 USD/h 0.632 USD/h
Tokyo (JP) / ap-northeast-1
0.12635 USD/h 0.648 USD/h
Frankfurt (DE) / eu-central-1
0.1231 USD/h 0.648 USD/h
Singapore (SG) / ap-southeast-1
0.149 USD/h 0.648 USD/h
Jakarta (ID) / ap-southeast-5
0.149 USD/h 0.648 USD/h
Hong Kong (HK) / cn-hongkong
0.1353 USD/h 0.712 USD/h
Riyadh (SA) / me-central-1
- 0.7776 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
64 GiB
Memory Amount Actual
64 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

      A memory-optimized virtual server featuring dedicated Intel Xeon processors and high memory density for caching and database workloads.

      Memory OptimizedGeneral Purpose

      Alibaba Cloud ecs.hfr6.2xlarge is a memory-optimized instance featuring 8 dedicated vCPUs and 64.0 GB of RAM, delivering a high 8.0 GB of memory per core. Powered by an Intel Xeon 8269CY processor running at 3.1 GHz on the x86_64 architecture, this KVM-based server lacks local storage and GPU accelerators, relying on a baseline network bandwidth of 2 Gbps. Benchmark results indicate average performance across standard compute and memory tests, with a PassMark database score of 3011.35 and 7.55 million Redis SET operations per second. While it exhibits weak performance for larger LLM inference tasks, its high memory-to-vCPU ratio and solid memory bandwidth make it highly suitable for memory-intensive workloads, including in-memory databases, caching layers, and enterprise applications.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.5Score
      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) 796,049 ops/sec 1,919,289 ops/sec 0.42 50.00% 50.00% -35.00%
      Redis RPS (pipeline=16, SET) 4,828,012 ops/sec 11,728,058 ops/sec 0.4 20.00% 20.00% -17.00%
      PassMark Memory Mark (composite) 2,414 2,416 1 10.00% 10.00% 0.00%
      Memory bandwidth (read, 16 MB ~ L3) 53,906 MB/sec 108,466 MB/sec 0.49 10.00% 10.00% -6.90%
      PassMark single-thread CPU 2,160 Mops/s 2,365 Mops/s 0.92 10.00% 10.00% -0.83%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,273

      Geekbench Multi-Core

      Score: 4,867

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 9,028
      Compression
      		 118,872
      Encryption
      		 3,545
      Extended Instructions
      		 7,033
      Floating Point Maths
      		 13,747
      Integer Maths
      		 25,608
      Physics
      		 1,008
      Prime Numbers
      		 62
      Single Threaded
      		 2,160
      String Sorting
      		 15,931

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,414
      Database Operations
      		 3,011
      Memory Latency
      		 54
      Memory Read Cached
      		 24,762
      Memory Read Uncached
      		 10,309
      Memory Write
      		 10,006

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 236.03 231.6 0.98×
      bitops
      		 126,131 561,560 4.45×
      branch
      		 158,599 962,211 6.07×
      funccall
      		 583.32 2,456 4.21×
      funcret
      		 11,822 68,948 5.83×
      hash
      		 133,678 795,022 5.95×
      intmath
      		 23,068 141,386 6.13×
      nop
      		 196,830 682,210 3.47×
      prime
      		 331,054 1,489,995 4.50×
      rotate
      		 99,412 500,948 5.04×
      str
      		 823,505 4,174,899 5.07×
      wcs
      		 534,827 2,359,775 4.41×
      CryptographySingleMultiScaling
      crypt
      		 2,507 9,809 3.91×
      CompressionSingleMultiScaling
      jpeg
      		 637.27 3,091 4.85×
      zlib
      		 44.59 341 7.65×
      HypervisorSingleMultiScaling
      clock
      		 16,860 89,831 5.33×
      clone
      		 443.14 1,742 3.93×
      context
      		 1,971 10,446 5.30×
      cpu-sched
      		 61.97 527 8.50×
      eventfd
      		 89,615 471,381 5.26×
      fault
      		 13,974 73,659 5.27×
      fork
      		 4,311 23,990 5.56×
      getrandom
      		 46,226 229,752 4.97×
      hrtimers
      		 293,285 839,265 2.86×
      mprotect
      		 856,570 1,258,722 1.47×
      mtx
      		 12,758,181 250,746,192 19.65×
      munmap
      		 3,123 15,973 5.12×
      null
      		 209,883 1,044,177 4.98×
      pipe
      		 899,786 2,541,258 2.82×
      priv-instr
      		 442,414 2,332,283 5.27×
      resched
      		 1,779,883 773,430 0.43×
      switch
      		 177,565 1,075,957 6.06×
      timermix
      		 312,746 2,045,088 6.54×
      tlb-shootdown
      		 10,912 21,719 1.99×
      tsc
      		 1,024,992 5,763,257 5.62×
      usersyscall
      		 313,016 1,611,697 5.15×
      vdso
      		 83,368,434 568,594,180 6.82×
      vfork
      		 32,062 123,787 3.86×
      x86syscall
      		 2,389,411 11,706,611 4.90×
      yield
      		 4,288,243 4,411,670 1.03×
      zero
      		 1,565,832 7,573,178 4.84×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 16,778 82,163 4.90×
      expmath
      		 2,757 16,934 6.14×
      fma
      		 605,992 3,956,087 6.53×
      fp
      		 131.18 762.8 5.81×
      fractal
      		 5 29.8 5.96×
      hyperbolic
      		 2,863 18,093 6.32×
      logmath
      		 4,691 28,315 6.04×
      matrix
      		 3,114 20,174 6.48×
      matrix-3d
      		 670.89 1,946 2.90×
      monte-carlo
      		 107.8 593.57 5.51×
      mpfr
      		 1,258 5,448 4.33×
      powmath
      		 1,632 10,004 6.13×
      trig
      		 1,765 9,588 5.43×
      veccmp
      		 16,017 65,969 4.12×
      vecfp
      		 1,370 6,830 4.98×
      vecmath
      		 2,247 14,224 6.33×
      vecshuf
      		 580.44 2,497 4.30×
      vecwide
      		 26,455 113,669 4.30×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 7.4 35 4.73×
      bsearch
      		 254.03 1,176 4.63×
      bubblesort
      		 0.8 3.2 4.00×
      fibsearch
      		 289.25 1,459 5.04×
      heapsort
      		 8.8 43 4.89×
      hsearch
      		 5,281 25,403 4.81×
      insertionsort
      		 8.4 33.6 4.00×
      malloc
      		 2,271,330 16,330,677 7.19×
      mcontend
      		 144.08 2,283 15.84×
      mergesort
      		 27.6 145 5.25×
      qsort
      		 19.4 96 4.95×
      skiplist
      		 5,404 30,541 5.65×
      tree
      		 1.6 6.4 4.00×
      MemorySingleMultiScaling
      cache
      		 375,522 603,009 1.61×
      cachehammer
      		 382,344 2,742,917 7.17×
      cacheline
      		 33.72 289.97 8.60×
      l1cache
      		 233.78 1,010 4.32×
      memcpy
      		 392.1 1,591 4.06×
      memrate
      		 1.37 5.75 4.20×
      memthrash
      		 159.5 311.43 1.95×
      ptr-chase
      		 34,535,040 94,781,150 2.74×
      spinmem
      		 401.39 589.92 1.47×
      stream
      		 32.4 1,226 37.85×
      vm
      		 56,083 291,127 5.19×

      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
      ecs.hfr6.large 216 GiB0
      ecs.hfr6.xlarge 432 GiB0
      ecs.hfr6.3xlarge 1296 GiB0
      ecs.hfr6.4xlarge 16128 GiB0
      ecs.hfr6.6xlarge 24192 GiB0
      ecs.hfr6.8xlarge 32256 GiB0
      ecs.hfr6.10xlarge 40384 GiB0

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      ecs.hfr6.2xlarge FAQs