ecs.hfr6.4xlarge by Alibaba Cloud

ecs.hfr6.4xlarge is a ecs.hfr6 family (16 vCPUs, 128 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 16 vCPUs, 128 GiB of memory and 0 GB of storage. The pricing starts at 0.1072 USD per hour.
16 vCPU
128 GiB Memory
Spare SCore
15,327
(All-cores)
1,436
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.hfr6.4xlarge
Description
ecs.hfr6 family (16 vCPUs, 128 GiB RAM, 0 GB storage)
Family
ecs.hfr6
Hw Virt
Status
active
Observed At
2026-10-24T15:16:59.074332

Availability

REGION / IDSPOTONDEMAND
Chengdu (CN) / cn-chengdu
0.1544 USD/h 0.8126 USD/h
Ulanqab (CN) / cn-wulanchabu
- 0.8126 USD/h
Shenzhen (CN) / cn-shenzhen
0.1715 USD/h 0.9029 USD/h
Beijing (CN) / cn-beijing
- 0.9029 USD/h
Guangzhou (CN) / cn-guangzhou
- 0.9029 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.9029 USD/h
Shanghai (CN) / cn-shanghai
- 0.9029 USD/h
Heyuan (CN) / cn-heyuan
0.1716 USD/h 0.903 USD/h
Virginia (US) / us-east-1
0.1072 USD/h 1.072 USD/h
Silicon Valley (US) / us-west-1
0.2037 USD/h 1.072 USD/h
London (GB) / eu-west-1
- 1.264 USD/h
Tokyo (JP) / ap-northeast-1
0.2462 USD/h 1.296 USD/h
Jakarta (ID) / ap-southeast-5
0.2462 USD/h 1.296 USD/h
Hong Kong (HK) / cn-hongkong
0.2706 USD/h 1.424 USD/h
Riyadh (SA) / me-central-1
- 1.5552 USD/h

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
8
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
256 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
256 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
8 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
10.7
Scalability
66.88

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

      CPU and System Topology

      Server Description

      An x86_64 memory-optimized instance featuring sixteen dedicated vCPUs and 128 GB RAM for memory-intensive database and caching workloads.

      Memory OptimizedGeneral Purpose

      Alibaba Cloud ecs.hfr6.4xlarge is an x86_64 memory-optimized server featuring 16 dedicated vCPUs and 128.0 GB of RAM, powered by an Intel Xeon 8269CY processor running at 3.1 GHz. It operates on a KVM hypervisor with no local storage or GPUs, utilizing a baseline network bandwidth of 5 Gbps. Benchmark data indicates average performance across most metrics, with a stress-ng multi-core score of 15326.6 and a Passmark CPU score of 16780.3. The instance demonstrates solid memory performance, delivering 14.91 million Redis SET operations per second and a cached read bandwidth of 853.84 GB/sec. However, it exhibits weaker performance in complex tasks, such as prompt processing for 7B LLM models, which registers at 23.2 tokens/sec. This server is appropriate for memory-intensive workloads, database operations, and caching applications that do not require local NVMe storage.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.86Score
      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) 1,582,662 ops/sec 1,919,289 ops/sec 0.84 50.00% 50.00% -8.30%
      Redis RPS (pipeline=16, SET) 9,385,671 ops/sec 11,728,058 ops/sec 0.78 20.00% 20.00% -4.80%
      PassMark Memory Mark (composite) 2,583 2,416 1.1 10.00% 10.00% +0.96%
      Memory bandwidth (read, 16 MB ~ L3) 95,547 MB/sec 108,466 MB/sec 0.87 10.00% 10.00% -1.40%
      PassMark single-thread CPU 2,158 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: 7,935

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 16,780
      Compression
      		 235,495
      Encryption
      		 7,092
      Extended Instructions
      		 14,294
      Floating Point Maths
      		 27,500
      Integer Maths
      		 51,282
      Physics
      		 1,650
      Prime Numbers
      		 96
      Single Threaded
      		 2,158
      String Sorting
      		 31,062

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,583
      Database Operations
      		 5,956
      Memory Latency
      		 52
      Memory Read Cached
      		 24,616
      Memory Read Uncached
      		 10,039
      Memory Write
      		 9,863

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 245.37 220.51 0.90×
      bitops
      		 126,017 1,122,938 8.91×
      branch
      		 158,474 1,926,254 12.16×
      funccall
      		 583.02 4,895 8.40×
      funcret
      		 11,853 137,510 11.60×
      hash
      		 134,519 1,593,539 11.85×
      intmath
      		 23,063 282,648 12.26×
      nop
      		 196,776 1,364,527 6.93×
      prime
      		 332,862 2,967,033 8.91×
      rotate
      		 99,394 1,007,966 10.14×
      str
      		 823,389 8,429,523 10.24×
      wcs
      		 521,396 4,800,461 9.21×
      CryptographySingleMultiScaling
      crypt
      		 2,507 19,594 7.82×
      CompressionSingleMultiScaling
      jpeg
      		 633.47 5,744 9.07×
      zlib
      		 29.74 702.25 23.61×
      HypervisorSingleMultiScaling
      clock
      		 16,808 167,402 9.96×
      clone
      		 463.78 3,614 7.79×
      context
      		 1,952 20,852 10.68×
      cpu-sched
      		 66.71 1,021 15.30×
      eventfd
      		 90,524 918,885 10.15×
      fault
      		 13,909 137,629 9.90×
      fork
      		 4,212 39,263 9.32×
      getrandom
      		 46,254 459,477 9.93×
      hrtimers
      		 246,471 1,636,312 6.64×
      mprotect
      		 1,077,931 2,501,817 2.32×
      mtx
      		 14,052,543 494,054,065 35.16×
      munmap
      		 3,018 29,770 9.86×
      null
      		 209,772 2,089,940 9.96×
      pipe
      		 909,848 4,856,707 5.34×
      priv-instr
      		 445,019 4,632,287 10.41×
      resched
      		 3,509,598 1,545,773 0.44×
      switch
      		 172,841 2,124,185 12.29×
      timermix
      		 314,673 4,112,478 13.07×
      tlb-shootdown
      		 11,223 36,443 3.25×
      tsc
      		 1,024,402 11,525,713 11.25×
      usersyscall
      		 309,921 3,211,016 10.36×
      vdso
      		 83,346,479 1,111,729,426 13.34×
      vfork
      		 31,401 193,378 6.16×
      x86syscall
      		 2,381,279 23,356,560 9.81×
      yield
      		 8,372,725 9,235,095 1.10×
      zero
      		 1,572,602 15,200,594 9.67×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 16,750 164,769 9.84×
      expmath
      		 2,758 33,755 12.24×
      fma
      		 605,790 7,931,257 13.09×
      fp
      		 129.6 1,499 11.56×
      fractal
      		 5 59.6 11.92×
      hyperbolic
      		 2,860 36,147 12.64×
      logmath
      		 4,692 56,666 12.08×
      matrix
      		 3,112 40,214 12.92×
      matrix-3d
      		 682.78 3,171 4.64×
      monte-carlo
      		 107.84 1,186 11.00×
      mpfr
      		 1,256 10,900 8.68×
      powmath
      		 1,632 19,998 12.26×
      trig
      		 1,762 19,194 10.89×
      veccmp
      		 16,023 132,505 8.27×
      vecfp
      		 1,372 13,623 9.93×
      vecmath
      		 2,247 28,454 12.66×
      vecshuf
      		 580.17 4,993 8.61×
      vecwide
      		 24,991 225,160 9.01×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 7.4 70 9.46×
      bsearch
      		 256.75 2,345 9.13×
      bubblesort
      		 0.8 6.4 8.00×
      fibsearch
      		 289.02 2,955 10.22×
      heapsort
      		 8.6 86.2 10.02×
      hsearch
      		 5,277 50,821 9.63×
      insertionsort
      		 8.4 67.2 8.00×
      malloc
      		 2,269,317 26,490,348 11.67×
      mcontend
      		 128.67 4,513 35.07×
      mergesort
      		 27.4 287.79 10.50×
      qsort
      		 19.4 191.8 9.89×
      skiplist
      		 5,392 60,912 11.30×
      tree
      		 1.4 12.79 9.14×
      MemorySingleMultiScaling
      cache
      		 390,174 759,986 1.95×
      cachehammer
      		 383,212 5,347,919 13.96×
      cacheline
      		 36.96 632.08 17.10×
      l1cache
      		 233.79 2,019 8.63×
      memcpy
      		 392.71 3,177 8.09×
      memrate
      		 1.37 9.13 6.66×
      memthrash
      		 183.52 582.81 3.18×
      ptr-chase
      		 33,997,845 169,934,085 5.00×
      spinmem
      		 401.79 1,223 3.04×
      stream
      		 33.39 4,265 127.73×
      vm
      		 57,635 293,719 5.10×

      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.hfr6.xlarge 432 GiB0
      ecs.hfr6.2xlarge 864 GiB0
      ecs.hfr6.3xlarge 1296 GiB0
      ecs.hfr6.6xlarge 24192 GiB0
      ecs.hfr6.8xlarge 32256 GiB0
      ecs.hfr6.10xlarge 40384 GiB0

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