ecs.r7.8xlarge by Alibaba Cloud

ecs.r7.8xlarge is a ecs.r7 family (32 vCPUs, 256 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 32 vCPUs, 256 GiB of memory and 0 GB of storage. The pricing starts at 0.3385 USD per hour.
32 vCPU
256 GiB Memory
Spare SCore
30,984
(All-cores)
1,865
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.r7.8xlarge
Description
ecs.r7 family (32 vCPUs, 256 GiB RAM, 0 GB storage)
Family
ecs.r7
Hw Virt
Status
active
Observed At
2026-10-27T21:10:41.037662

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
0.3385 USD/h 1.5387 USD/h
Ulanqab (CN) / cn-wulanchabu
- 1.5517 USD/h
Shenzhen (CN) / cn-shenzhen
0.3793 USD/h 1.7241 USD/h
Guangzhou (CN) / cn-guangzhou
0.4483 USD/h 1.7241 USD/h
Hangzhou (CN) / cn-hangzhou
- 1.7241 USD/h
Virginia (US) / us-east-1
0.3991 USD/h 1.814 USD/h
Tokyo (JP) / ap-northeast-1
0.4159 USD/h 2.189 USD/h
Frankfurt (DE) / eu-central-1
0.52535 USD/h 2.189 USD/h
Hong Kong (HK) / cn-hongkong
0.5291 USD/h 2.4048 USD/h

Processor

vCPUs
32
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
16
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
768 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
512 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
20 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
16.6
Scalability
51.88

System Resources and Accelerators

MEMORY
Memory Amount
256 GiB
Memory Amount Actual
256 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
      16 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      An x86_64 memory-optimized virtual server featuring a high memory-to-core ratio, designed for memory-intensive databases and caching workloads.

      Memory OptimizedGeneral Purpose

      Alibaba Cloud ecs.r7.8xlarge is an x86_64 memory-optimized instance featuring 32 vCPUs and 256.0 GB of RAM, powered by an Intel Xeon 8369B processor at 2.7 GHz. Running on the KVM hypervisor, it provides a high memory-to-vCPU ratio of 8.0 GB per core. The instance lacks local storage and dedicated GPUs, relying on a 16 Gbps baseline network bandwidth. Performance benchmarks indicate average capabilities, with a multi-core Geekbench score of 13384.0 and a Redis SET throughput of 30.13 million operations per second. It exhibits strong performance in small-scale LLM text generation at 282.15 tokens per second. The qualitative cost profile favors memory-dense workloads, making it suitable for in-memory databases, caching layers, and data processing, though users must account for the tradeoff of relying entirely on network-attached storage.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.7Score
      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) 4,144,007 ops/sec 1,918,343 ops/sec 2.2 50.00% 50.00% +48.00%
      Redis RPS (pipeline=16, SET) 20,054,063 ops/sec 11,704,734 ops/sec 1.7 20.00% 20.00% +11.00%
      PassMark Memory Mark (composite) 2,560 2,416 1.1 10.00% 10.00% +0.96%
      Memory bandwidth (read, 16 MB ~ L3) 147,126 MB/sec 108,420 MB/sec 1.4 10.00% 10.00% +3.40%
      PassMark single-thread CPU 2,343 Mops/s 2,365 Mops/s 0.96 10.00% 10.00% -0.41%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,532

      Geekbench Multi-Core

      Score: 13,384

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 35,326
      Compression
      		 465,255
      Encryption
      		 28,850
      Extended Instructions
      		 26,733
      Floating Point Maths
      		 68,563
      Integer Maths
      		 134,074
      Physics
      		 2,735
      Prime Numbers
      		 163
      Single Threaded
      		 2,343
      String Sorting
      		 66,926

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,560
      Database Operations
      		 13,456
      Memory Latency
      		 59
      Memory Read Cached
      		 24,092
      Memory Read Uncached
      		 11,134
      Memory Write
      		 9,845

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 272.5 306.18 1.12×
      bitops
      		 129,686 2,127,159 16.40×
      branch
      		 136,833 3,472,311 25.38×
      funccall
      		 633.47 10,134 16.00×
      funcret
      		 11,722 269,362 22.98×
      hash
      		 151,177 3,484,256 23.05×
      intmath
      		 61,150 1,199,570 19.62×
      nop
      		 188,969 2,657,626 14.06×
      prime
      		 392,626 6,829,514 17.39×
      rotate
      		 97,608 1,672,687 17.14×
      str
      		 866,246 14,652,330 16.91×
      wcs
      		 612,087 8,481,744 13.86×
      CryptographySingleMultiScaling
      crypt
      		 2,827 42,070 14.88×
      CompressionSingleMultiScaling
      jpeg
      		 695.61 14,384 20.68×
      zlib
      		 64.55 1,397 21.65×
      HypervisorSingleMultiScaling
      clock
      		 24,324 368,730 15.16×
      clone
      		 576.84 6,497 11.26×
      context
      		 4,823 116,064 24.07×
      cpu-sched
      		 60.44 2,052 33.95×
      eventfd
      		 111,637 1,292,447 11.58×
      fault
      		 18,050 275,584 15.27×
      fork
      		 5,343 85,631 16.03×
      getrandom
      		 50,920 925,014 18.17×
      hrtimers
      		 140,200 3,076,232 21.94×
      mprotect
      		 1,162,955 8,289,551 7.13×
      mtx
      		 12,998,557 1,025,724,449 78.91×
      munmap
      		 3,853 65,775 17.07×
      null
      		 795,574 15,638,964 19.66×
      pipe
      		 939,982 17,748,663 18.88×
      priv-instr
      		 820,858 15,592,083 18.99×
      resched
      		 14,811,536 4,975,420 0.34×
      switch
      		 201,673 2,373,407 11.77×
      timermix
      		 345,975 9,600,099 27.75×
      tlb-shootdown
      		 11,299 63,915 5.66×
      tsc
      		 766,814 18,177,736 23.71×
      usersyscall
      		 640,751 12,543,783 19.58×
      vdso
      		 111,995,937 2,049,173,354 18.30×
      vfork
      		 42,057 203,990 4.85×
      x86syscall
      		 9,065,579 195,812,859 21.60×
      yield
      		 25,585,792 31,653,200 1.24×
      zero
      		 4,617,420 86,857,155 18.81×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 14,740 304,315 20.65×
      expmath
      		 2,877 67,637 23.51×
      fma
      		 656,901 18,187,449 27.69×
      fp
      		 199.2 3,214 16.14×
      fractal
      		 5 115.41 23.08×
      hyperbolic
      		 3,062 71,943 23.50×
      logmath
      		 4,834 111,704 23.11×
      matrix
      		 3,507 86,020 24.53×
      matrix-3d
      		 724.07 5,000 6.91×
      monte-carlo
      		 258.63 5,540 21.42×
      mpfr
      		 1,401 24,025 17.15×
      powmath
      		 1,682 40,250 23.93×
      trig
      		 1,956 39,844 20.37×
      veccmp
      		 20,280 313,839 15.48×
      vecfp
      		 1,524 29,829 19.58×
      vecmath
      		 3,224 74,728 23.18×
      vecshuf
      		 663.48 11,567 17.43×
      vecwide
      		 31,382 570,874 18.19×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 8 128 16.00×
      bsearch
      		 248.69 5,287 21.26×
      bubblesort
      		 1 12.8 12.80×
      fibsearch
      		 287.33 5,706 19.86×
      heapsort
      		 9.4 167.2 17.79×
      hsearch
      		 7,336 124,956 17.03×
      insertionsort
      		 10.4 96 9.23×
      malloc
      		 2,408,749 36,368,984 15.10×
      mcontend
      		 124.06 6,735 54.29×
      mergesort
      		 26.8 589.58 22.00×
      qsort
      		 20.6 345.79 16.79×
      skiplist
      		 5,437 129,526 23.82×
      tree
      		 1.6 19.98 12.49×
      MemorySingleMultiScaling
      cache
      		 349,339 650,430 1.86×
      cachehammer
      		 364,382 9,209,208 25.27×
      cacheline
      		 64.17 3,933 61.29×
      l1cache
      		 912.89 6,073 6.65×
      memcpy
      		 405.75 6,388 15.74×
      memrate
      		 1.57 12.19 7.76×
      memthrash
      		 216.51 970.29 4.48×
      ptr-chase
      		 18,954,641 302,963,645 15.98×
      spinmem
      		 355.99 2,086 5.86×
      stream
      		 40.78 9,942 243.81×
      vm
      		 106,761 297,136 2.78×

      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.r7.6xlarge 24192 GiB0
      ecs.r7.16xlarge 64512 GiB0

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      ecs.r7.8xlarge FAQs