ecs.hfr6.3xlarge by Alibaba Cloud

ecs.hfr6.3xlarge is a ecs.hfr6 family (12 vCPUs, 96 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 12 vCPUs, 96 GiB of memory and 0 GB of storage. The pricing starts at 0.0804 USD per hour.
12 vCPU
96 GiB Memory
Spare SCore
11,481
(All-cores)
1,436
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.hfr6.3xlarge
Description
ecs.hfr6 family (12 vCPUs, 96 GiB RAM, 0 GB storage)
Family
ecs.hfr6
Hw Virt
Status
active
Observed At
2026-10-23T14:57:42.075978

Availability

REGION / IDSPOTONDEMAND
Chengdu (CN) / cn-chengdu
- 0.6094 USD/h
Ulanqab (CN) / cn-wulanchabu
- 0.6094 USD/h
Heyuan (CN) / cn-heyuan
0.1286 USD/h 0.677 USD/h
Guangzhou (CN) / cn-guangzhou
0.1287 USD/h 0.6771 USD/h
Beijing (CN) / cn-beijing
- 0.6771 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.6771 USD/h
Shanghai (CN) / cn-shanghai
- 0.6771 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.6771 USD/h
Virginia (US) / us-east-1
0.0804 USD/h 0.804 USD/h
Silicon Valley (US) / us-west-1
0.0804 USD/h 0.804 USD/h
London (GB) / eu-west-1
0.1801 USD/h 0.948 USD/h
Tokyo (JP) / ap-northeast-1
0.1847 USD/h 0.972 USD/h
Singapore (SG) / ap-southeast-1
0.1847 USD/h 0.972 USD/h
Jakarta (ID) / ap-southeast-5
0.1847 USD/h 0.972 USD/h
Frankfurt (DE) / eu-central-1
0.1847 USD/h 0.972 USD/h
Hong Kong (HK) / cn-hongkong
- 1.068 USD/h
Riyadh (SA) / me-central-1
- 1.1664 USD/h

Processor

vCPUs
12
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
6
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
192 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
192 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
6 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
8
Scalability
66.67

System Resources and Accelerators

MEMORY
Memory Amount
96 GiB
Memory Amount Actual
96 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
      4 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 demanding database and caching workloads.

      Memory Optimized

      Alibaba Cloud ecs.hfr6.3xlarge is a memory-optimized virtual server featuring 12 dedicated vCPUs and 96.0 GB of RAM, yielding an 8.0 GB memory-to-core ratio. Powered by an Intel Xeon 8269CY processor running at 3.1 GHz on the x86_64 architecture, this KVM-based instance includes 35 MB of L3 cache and supports AVX-512 instructions. It lacks local storage and GPU accelerators, relying on a baseline network bandwidth of 4 Gbps. Benchmark data indicates average tier performance, with a multi-core Geekbench score of 6393.0 and a Redis SET throughput of 11.09 million operations per second. The instance provides a balanced, memory-dense profile without the added cost of local storage. It is well-suited for memory-intensive workloads such as in-memory databases, caching layers, and enterprise applications.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.68Score
      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) 1,181,782 ops/sec 1,919,289 ops/sec 0.63 50.00% 50.00% -21.00%
      Redis RPS (pipeline=16, SET) 6,938,233 ops/sec 11,728,058 ops/sec 0.57 20.00% 20.00% -11.00%
      PassMark Memory Mark (composite) 2,475 2,416 1 10.00% 10.00% 0.00%
      Memory bandwidth (read, 16 MB ~ L3) 79,008 MB/sec 108,466 MB/sec 0.72 10.00% 10.00% -3.20%
      PassMark single-thread CPU 2,146 Mops/s 2,365 Mops/s 0.88 10.00% 10.00% -1.30%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,255

      Geekbench Multi-Core

      Score: 6,393

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 13,015
      Compression
      		 178,889
      Encryption
      		 5,314
      Extended Instructions
      		 10,742
      Floating Point Maths
      		 20,608
      Integer Maths
      		 38,440
      Physics
      		 1,324
      Prime Numbers
      		 77
      Single Threaded
      		 2,146
      String Sorting
      		 23,411

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,475
      Database Operations
      		 4,450
      Memory Latency
      		 54
      Memory Read Cached
      		 24,737
      Memory Read Uncached
      		 9,870
      Memory Write
      		 9,749

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 224.04 232.36 1.04×
      bitops
      		 125,985 840,844 6.67×
      branch
      		 158,440 1,442,375 9.10×
      funccall
      		 582.76 3,674 6.30×
      funcret
      		 11,891 103,092 8.67×
      hash
      		 134,464 1,193,945 8.88×
      intmath
      		 23,325 212,285 9.10×
      nop
      		 196,597 1,022,425 5.20×
      prime
      		 332,266 2,226,133 6.70×
      rotate
      		 99,379 755,895 7.61×
      str
      		 811,754 6,212,411 7.65×
      wcs
      		 550,562 3,516,473 6.39×
      CryptographySingleMultiScaling
      crypt
      		 2,505 14,683 5.86×
      CompressionSingleMultiScaling
      jpeg
      		 636.2 4,673 7.34×
      zlib
      		 45.37 518.58 11.43×
      HypervisorSingleMultiScaling
      clock
      		 16,788 128,807 7.67×
      clone
      		 417.29 2,352 5.64×
      context
      		 1,953 15,707 8.04×
      cpu-sched
      		 54.75 794.01 14.50×
      eventfd
      		 89,652 689,210 7.69×
      fault
      		 13,782 105,761 7.67×
      fork
      		 4,151 33,768 8.14×
      getrandom
      		 46,187 344,118 7.45×
      hrtimers
      		 273,302 1,249,133 4.57×
      mprotect
      		 952,819 1,864,515 1.96×
      mtx
      		 13,236,249 377,441,374 28.52×
      munmap
      		 2,978 22,967 7.71×
      null
      		 210,362 1,569,077 7.46×
      pipe
      		 955,788 3,700,538 3.87×
      priv-instr
      		 436,133 3,482,970 7.99×
      resched
      		 2,641,858 1,093,480 0.41×
      switch
      		 177,568 1,601,247 9.02×
      timermix
      		 313,829 3,068,631 9.78×
      tlb-shootdown
      		 13,394 28,505 2.13×
      tsc
      		 1,024,368 8,636,562 8.43×
      usersyscall
      		 310,830 2,423,098 7.80×
      vdso
      		 83,380,172 873,052,258 10.47×
      vfork
      		 30,587 161,621 5.28×
      x86syscall
      		 2,378,067 16,933,287 7.12×
      yield
      		 6,668,299 6,752,696 1.01×
      zero
      		 1,581,022 11,365,111 7.19×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 16,740 122,631 7.33×
      expmath
      		 2,754 25,396 9.22×
      fma
      		 605,018 5,941,082 9.82×
      fp
      		 133.43 1,123 8.42×
      fractal
      		 5 44.8 8.96×
      hyperbolic
      		 2,851 27,071 9.49×
      logmath
      		 4,691 42,543 9.07×
      matrix
      		 3,112 30,096 9.67×
      matrix-3d
      		 653.32 2,644 4.05×
      monte-carlo
      		 107.46 889.88 8.28×
      mpfr
      		 1,258 8,169 6.49×
      powmath
      		 1,631 14,983 9.19×
      trig
      		 1,766 14,365 8.13×
      veccmp
      		 16,024 99,266 6.19×
      vecfp
      		 1,371 10,241 7.47×
      vecmath
      		 2,245 21,318 9.50×
      vecshuf
      		 579.8 3,741 6.45×
      vecwide
      		 26,382 170,451 6.46×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 7.4 52.2 7.05×
      bsearch
      		 256.77 1,757 6.84×
      bubblesort
      		 0.8 4.8 6.00×
      fibsearch
      		 288.83 2,206 7.64×
      heapsort
      		 8.6 64.6 7.51×
      hsearch
      		 5,294 38,222 7.22×
      insertionsort
      		 8.4 50.4 6.00×
      malloc
      		 2,208,479 20,856,106 9.44×
      mcontend
      		 139.45 3,331 23.88×
      mergesort
      		 27.4 215.79 7.88×
      qsort
      		 19.4 143.8 7.41×
      skiplist
      		 5,391 45,491 8.44×
      tree
      		 1.4 9.6 6.86×
      MemorySingleMultiScaling
      cache
      		 338,737 621,777 1.84×
      cachehammer
      		 380,489 4,025,469 10.58×
      cacheline
      		 39.05 389.76 9.98×
      l1cache
      		 233.58 1,513 6.48×
      memcpy
      		 392.27 2,380 6.07×
      memrate
      		 1.17 6.91 5.91×
      memthrash
      		 189.95 447.88 2.36×
      ptr-chase
      		 25,990,802 127,257,974 4.90×
      spinmem
      		 401.79 925.49 2.30×
      stream
      		 30.32 2,634 86.88×
      vm
      		 58,826 292,497 4.97×

      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.hfr6.2xlarge 864 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.hfr6.3xlarge FAQs