ecs.r7.6xlarge by Alibaba Cloud

ecs.r7.6xlarge is a ecs.r7 family (24 vCPUs, 192 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 24 vCPUs, 192 GiB of memory and 0 GB of storage. The pricing starts at 0.2457 USD per hour.
24 vCPU
192 GiB Memory
Spare SCore
23,251
(All-cores)
1,844
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.r7.6xlarge
Description
ecs.r7 family (24 vCPUs, 192 GiB RAM, 0 GB storage)
Family
ecs.r7
Hw Virt
Status
active
Observed At
2026-10-24T00:57:06.627353

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
0.3001 USD/h 1.1541 USD/h
Ulanqab (CN) / cn-wulanchabu
0.2793 USD/h 1.1638 USD/h
Hangzhou (CN) / cn-hangzhou
0.2457 USD/h 1.2931 USD/h
Guangzhou (CN) / cn-guangzhou
- 1.2931 USD/h
Shanghai (CN) / cn-shanghai
- 1.2931 USD/h
Shenzhen (CN) / cn-shenzhen
- 1.2931 USD/h
Virginia (US) / us-east-1
0.279 USD/h 1.361 USD/h
Tokyo (JP) / ap-northeast-1
0.312 USD/h 1.642 USD/h
Frankfurt (DE) / eu-central-1
- 1.642 USD/h
Hong Kong (HK) / cn-hongkong
0.3427 USD/h 1.8036 USD/h

Processor

vCPUs
24
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
12
CPU Speed
2.7 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8369B
CPU L1D Cache
48 KiB
CPU L1D Cache Total
576 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
384 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
15 MiB
CPU L3 Cache
48 MiB
CPU L3 Cache Total
48 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, cpuid_fault, ibrs_enhanced, fsgsbase, tsc_adjust, bmi1, avx2, smep, bmi2, erms, invpcid, avx512f, avx512dq, rdseed, adx, smap, avx512ifma, clflushopt, clwb, avx512cd, sha_ni, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, wbnoinvd, arat, avx512vbmi, pku, ospke, avx512_vbmi2, gfni, vaes, vpclmulqdq, avx512_vnni, avx512_bitalg, avx512_vpopcntdq, rdpid, fsrm, arch_capabilities
Ecpus
12.6
Scalability
52.5

System Resources and Accelerators

MEMORY
Memory Amount
192 GiB
Memory Amount Actual
192 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
      12 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 RAM density for demanding database and caching workloads.

      Memory OptimizedGeneral Purpose

      Alibaba Cloud ecs.r7.6xlarge is a memory-optimized instance featuring 24 dedicated vCPUs and 192.0 GB of RAM, delivering a high memory-to-vCPU ratio of 8.0 GB. Powered by an Intel Xeon 8369B processor running at 2.7 GHz on the x86_64 architecture, this KVM-based server includes 48 MB of L3 cache and supports AVX-512 and cryptographic accelerations. It does not contain local storage or GPUs, utilizing a baseline network bandwidth of 12 Gbps. Benchmark results show average performance across compute and memory metrics, with a PassMark CPU score of 29229.28 and a Redis SET throughput of 23.5 million operations per second. The instance is highly suited for memory-intensive workloads, including database operations, in-memory caching, and enterprise application hosting where high memory density is required.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.4Score
      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) 3,199,132 ops/sec 1,919,289 ops/sec 1.7 50.00% 50.00% +30.00%
      Redis RPS (pipeline=16, SET) 15,879,517 ops/sec 11,728,058 ops/sec 1.3 20.00% 20.00% +5.40%
      PassMark Memory Mark (composite) 2,698 2,416 1.1 10.00% 10.00% +0.96%
      Memory bandwidth (read, 16 MB ~ L3) 133,224 MB/sec 108,466 MB/sec 1.2 10.00% 10.00% +1.80%
      PassMark single-thread CPU 2,353 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,534

      Geekbench Multi-Core

      Score: 11,384

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      29,229
      Compression
      370,286
      Encryption
      21,862
      Extended Instructions
      21,171
      Floating Point Maths
      51,554
      Integer Maths
      100,721
      Physics
      2,780
      Prime Numbers
      152
      Single Threaded
      2,353
      String Sorting
      51,686

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      2,698
      Database Operations
      11,538
      Memory Latency
      55
      Memory Read Cached
      24,230
      Memory Read Uncached
      11,947
      Memory Write
      10,992

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      264.95 300.76 1.14×
      bitops
      129,983 1,595,891 12.28×
      branch
      136,989 2,606,493 19.03×
      funccall
      633.22 7,776 12.28×
      funcret
      11,506 196,707 17.10×
      hash
      151,567 2,630,375 17.35×
      intmath
      61,198 901,754 14.74×
      nop
      189,673 1,993,975 10.51×
      prime
      392,715 5,098,658 12.98×
      rotate
      97,600 1,255,431 12.86×
      str
      855,549 11,040,481 12.90×
      wcs
      609,273 6,502,179 10.67×
      CryptographySingleMultiScaling
      crypt
      2,829 31,612 11.18×
      CompressionSingleMultiScaling
      jpeg
      714.27 11,199 15.68×
      zlib
      57.45 1,111 19.34×
      HypervisorSingleMultiScaling
      clock
      24,931 320,435 12.85×
      clone
      560.87 5,151 9.18×
      context
      4,822 86,852 18.01×
      cpu-sched
      79.56 1,547 19.44×
      eventfd
      110,749 1,012,034 9.14×
      fault
      18,094 232,949 12.87×
      fork
      5,646 73,232 12.97×
      getrandom
      51,040 708,094 13.87×
      hrtimers
      547,995 2,678,623 4.89×
      mprotect
      1,167,132 6,379,423 5.47×
      mtx
      12,783,267 798,418,154 62.46×
      munmap
      4,020 53,197 13.23×
      null
      795,026 11,822,459 14.87×
      pipe
      1,033,569 12,035,299 11.64×
      priv-instr
      825,231 11,976,685 14.51×
      resched
      11,849,922 3,608,885 0.30×
      switch
      209,481 4,415,706 21.08×
      timermix
      346,788 7,185,302 20.72×
      tlb-shootdown
      11,160 51,544 4.62×
      tsc
      766,662 13,628,509 17.78×
      usersyscall
      642,077 9,411,334 14.66×
      vdso
      109,181,347 1,523,864,616 13.96×
      vfork
      41,291 213,445 5.17×
      x86syscall
      9,069,356 148,854,912 16.41×
      yield
      18,953,624 22,130,239 1.17×
      zero
      4,615,610 66,882,975 14.49×
      CPU float/SIMDSingleMultiScaling
      eigen
      14,749 230,085 15.60×
      expmath
      2,878 50,771 17.64×
      fma
      658,939 13,783,906 20.92×
      fp
      179.07 2,486 13.88×
      fractal
      5 88.41 17.68×
      hyperbolic
      3,063 54,646 17.84×
      logmath
      4,840 84,260 17.41×
      matrix
      3,507 64,380 18.36×
      matrix-3d
      753.95 4,507 5.98×
      monte-carlo
      258.6 4,229 16.35×
      mpfr
      1,408 18,140 12.88×
      powmath
      1,682 30,186 17.94×
      trig
      1,956 30,008 15.34×
      veccmp
      20,245 235,747 11.64×
      vecfp
      1,525 22,387 14.68×
      vecmath
      3,225 56,115 17.40×
      vecshuf
      663.28 8,676 13.08×
      vecwide
      31,820 440,101 13.83×
      AlgorithmsSingleMultiScaling
      bitonicsort
      8 96.2 12.03×
      bsearch
      248.75 4,039 16.24×
      bubblesort
      1 9.6 9.60×
      fibsearch
      287.55 4,315 15.00×
      heapsort
      9.4 129.8 13.81×
      hsearch
      7,106 99,159 13.95×
      insertionsort
      10.4 76.6 7.37×
      malloc
      2,500,402 30,183,628 12.07×
      mcontend
      119.51 5,006 41.89×
      mergesort
      26.8 446.39 16.66×
      qsort
      20.6 260.59 12.65×
      skiplist
      5,432 97,278 17.91×
      tree
      1.6 19.19 11.99×
      MemorySingleMultiScaling
      cache
      337,403 584,323 1.73×
      cachehammer
      367,665 7,412,549 20.16×
      cacheline
      86.16 1,427 16.56×
      l1cache
      914.19 4,613 5.05×
      memcpy
      404.97 4,816 11.89×
      memrate
      1.58 13.85 8.77×
      memthrash
      239.19 856.47 3.58×
      ptr-chase
      23,825,817 241,981,157 10.16×
      spinmem
      353.59 1,528 4.32×
      stream
      40.38 6,560 162.45×
      vm
      93,052 295,600 3.18×

      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.r7.large 216 GiB0
      ecs.r7.xlarge 432 GiB0
      ecs.r7.2xlarge 864 GiB0
      ecs.r7.3xlarge 1296 GiB0
      ecs.r7.4xlarge 16128 GiB0
      ecs.r7.8xlarge 32256 GiB0
      ecs.r7.16xlarge 64512 GiB0

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      ecs.r7.6xlarge FAQs