ecs.r7.3xlarge by Alibaba Cloud

ecs.r7.3xlarge is a ecs.r7 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 0.1228 USD per hour.
12 vCPU
96 GiB Memory
Spare SCore
11,630
(All-cores)
1,868
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.r7.3xlarge
Description
ecs.r7 family (12 vCPUs, 96 GiB RAM, 0 GB storage)
Family
ecs.r7
Hw Virt
Status
active
Observed At
2026-10-23T21:32:38.427833

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
0.15 USD/h 0.577 USD/h
Ulanqab (CN) / cn-wulanchabu
- 0.5819 USD/h
Hangzhou (CN) / cn-hangzhou
0.1228 USD/h 0.6465 USD/h
Guangzhou (CN) / cn-guangzhou
- 0.6465 USD/h
Shanghai (CN) / cn-shanghai
- 0.6465 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.6465 USD/h
Virginia (US) / us-east-1
0.1394 USD/h 0.68 USD/h
Tokyo (JP) / ap-northeast-1
0.156 USD/h 0.821 USD/h
Frankfurt (DE) / eu-central-1
0.1683 USD/h 0.821 USD/h
Hong Kong (HK) / cn-hongkong
- 0.9018 USD/h

Processor

vCPUs
12
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
6
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
288 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
192 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
8 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
6.2
Scalability
51.67

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
      8 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 high memory-to-core density and dedicated Intel Xeon processors for enterprise database and caching workloads.

      Memory OptimizedGeneral Purpose

      Alibaba Cloud ecs.r7.3xlarge is a memory-optimized instance featuring 12 dedicated vCPUs and 96.0 GB of RAM, delivering a high 8.0 GB of memory per core. Powered by an Intel Xeon 8369B processor running at 2.7 GHz on a KVM hypervisor, this instance lacks local storage and GPU accelerators, relying on an 8 Gbps baseline network bandwidth. Benchmark data indicates average performance across standard compute and memory tests, with a Geekbench multi-core score of 7628.0 and a Redis SET throughput of 11.89 million operations per second. While it exhibits weak performance on larger machine learning models, its high memory-to-vCPU ratio makes it a qualitatively cost-efficient choice for memory-intensive workloads such as in-memory caching, relational databases, and enterprise application hosting.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.77Score
      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) 1,562,158 ops/sec 1,919,289 ops/sec 0.84 50.00% 50.00% -8.30%
      Redis RPS (pipeline=16, SET) 8,343,889 ops/sec 11,728,058 ops/sec 0.69 20.00% 20.00% -7.20%
      PassMark Memory Mark (composite) 2,288 2,416 0.96 10.00% 10.00% -0.41%
      Memory bandwidth (read, 16 MB ~ L3) 42,316 MB/sec 108,466 MB/sec 0.38 10.00% 10.00% -9.20%
      PassMark single-thread CPU 2,362 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,548

      Geekbench Multi-Core

      Score: 7,628

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 16,348
      Compression
      		 185,373
      Encryption
      		 10,915
      Extended Instructions
      		 10,490
      Floating Point Maths
      		 25,775
      Integer Maths
      		 50,371
      Physics
      		 1,799
      Prime Numbers
      		 107
      Single Threaded
      		 2,362
      String Sorting
      		 25,799

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,288
      Database Operations
      		 5,839
      Memory Latency
      		 52
      Memory Read Cached
      		 24,045
      Memory Read Uncached
      		 8,166
      Memory Write
      		 8,322

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 252.16 289.86 1.15×
      bitops
      		 129,523 798,015 6.16×
      branch
      		 137,009 1,305,530 9.53×
      funccall
      		 633.46 3,893 6.15×
      funcret
      		 11,720 103,735 8.85×
      hash
      		 150,662 1,316,003 8.73×
      intmath
      		 61,198 449,903 7.35×
      nop
      		 189,454 995,514 5.25×
      prime
      		 392,522 2,561,958 6.53×
      rotate
      		 97,675 628,815 6.44×
      str
      		 864,902 5,522,507 6.39×
      wcs
      		 619,043 3,236,603 5.23×
      CryptographySingleMultiScaling
      crypt
      		 2,829 15,805 5.59×
      CompressionSingleMultiScaling
      jpeg
      		 720.51 5,599 7.77×
      zlib
      		 57 545.49 9.57×
      HypervisorSingleMultiScaling
      clock
      		 25,818 206,626 8.00×
      clone
      		 617.54 2,771 4.49×
      context
      		 4,829 43,580 9.02×
      cpu-sched
      		 63.85 763.88 11.96×
      eventfd
      		 115,180 1,033,884 8.98×
      fault
      		 18,296 127,408 6.96×
      fork
      		 5,970 45,849 7.68×
      getrandom
      		 51,037 354,041 6.94×
      hrtimers
      		 172,761 1,730,081 10.01×
      mprotect
      		 1,122,734 3,200,613 2.85×
      mtx
      		 14,191,428 410,729,168 28.94×
      munmap
      		 4,274 31,564 7.38×
      null
      		 798,520 5,886,886 7.37×
      pipe
      		 987,762 6,795,603 6.88×
      priv-instr
      		 826,494 6,156,978 7.45×
      resched
      		 5,392,609 1,796,388 0.33×
      switch
      		 279,466 2,077,598 7.43×
      timermix
      		 348,614 3,604,264 10.34×
      tlb-shootdown
      		 11,521 30,343 2.63×
      tsc
      		 767,456 6,814,882 8.88×
      usersyscall
      		 641,800 4,772,615 7.44×
      vdso
      		 112,139,513 762,355,738 6.80×
      vfork
      		 47,456 211,193 4.45×
      x86syscall
      		 9,102,047 74,512,267 8.19×
      yield
      		 9,637,123 10,062,462 1.04×
      zero
      		 4,614,097 33,521,867 7.27×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 14,769 114,929 7.78×
      expmath
      		 2,878 25,378 8.82×
      fma
      		 659,584 6,893,670 10.45×
      fp
      		 199.2 1,233 6.19×
      fractal
      		 5 44.2 8.84×
      hyperbolic
      		 3,055 27,327 8.94×
      logmath
      		 4,842 41,742 8.62×
      matrix
      		 3,518 32,326 9.19×
      matrix-3d
      		 782.57 3,082 3.94×
      monte-carlo
      		 258.66 2,081 8.04×
      mpfr
      		 1,407 9,062 6.44×
      powmath
      		 1,688 15,094 8.94×
      trig
      		 1,956 14,999 7.67×
      veccmp
      		 20,132 117,865 5.85×
      vecfp
      		 1,525 11,193 7.34×
      vecmath
      		 3,225 28,068 8.70×
      vecshuf
      		 663.87 4,342 6.54×
      vecwide
      		 31,826 222,105 6.98×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 8 48 6.00×
      bsearch
      		 248.97 2,030 8.15×
      bubblesort
      		 1 4.8 4.80×
      fibsearch
      		 287.54 2,137 7.43×
      heapsort
      		 9.4 64.8 6.89×
      hsearch
      		 7,326 48,977 6.69×
      insertionsort
      		 10.4 38.2 3.67×
      malloc
      		 2,635,059 23,932,416 9.08×
      mcontend
      		 137.83 2,516 18.25×
      mergesort
      		 26.8 225.79 8.42×
      qsort
      		 20.6 130.4 6.33×
      skiplist
      		 5,447 48,395 8.88×
      tree
      		 1.6 12 7.50×
      MemorySingleMultiScaling
      cache
      		 436,636 672,051 1.54×
      cachehammer
      		 377,878 4,083,093 10.81×
      cacheline
      		 55.73 696.98 12.51×
      l1cache
      		 914.78 2,299 2.51×
      memcpy
      		 405.87 2,402 5.92×
      memrate
      		 1.78 9.36 5.26×
      memthrash
      		 230.11 501.62 2.18×
      ptr-chase
      		 34,693,406 138,681,728 4.00×
      spinmem
      		 358.19 897.7 2.51×
      stream
      		 11.92 1,181 99.10×
      vm
      		 97,689 293,037 3.00×

      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.r7.4xlarge 16128 GiB0
      ecs.r7.6xlarge 24192 GiB0
      ecs.r7.8xlarge 32256 GiB0
      ecs.r7.16xlarge 64512 GiB0

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      ecs.r7.3xlarge FAQs