ecs.r7se.2xlarge by Alibaba Cloud

ecs.r7se.2xlarge is a ecs.r7se family (8 vCPUs, 64 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 8 vCPUs, 64 GiB of memory and 0 GB of storage. The pricing starts at 0.533 USD per hour.
8 vCPU
64 GiB Memory
Spare SCore
7,771
(All-cores)
1,869
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.r7se.2xlarge
Description
ecs.r7se family (8 vCPUs, 64 GiB RAM, 0 GB storage)
Family
ecs.r7se
Hw Virt
Status
active
Observed At
2026-10-28T16:51:40.653598

Availability

REGION / IDSPOTONDEMAND
Beijing (CN) / cn-beijing
- 0.533 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.533 USD/h
Shanghai (CN) / cn-shanghai
- 0.533 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.533 USD/h
Singapore (SG) / ap-southeast-1
- 0.6438 USD/h
Hong Kong (HK) / cn-hongkong
- 0.7073 USD/h

Processor

vCPUs
8
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
4
CPU Speed
2.9 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8369B
CPU L1D Cache
48 KiB
CPU L1D Cache Total
192 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
128 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
5 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, 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
4.2
Scalability
52.5

System Resources and Accelerators

MEMORY
Memory Amount
64 GiB
Memory Amount Actual
64 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
      3 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 a high RAM-to-vCPU ratio and dedicated Intel Xeon processing for memory-intensive workloads.

      Memory OptimizedGeneral Purpose

      Alibaba Cloud ecs.r7se.2xlarge is a memory-optimized instance featuring 8 dedicated vCPUs and 64.0 GB of RAM, powered by an Intel Xeon 8369B processor at 2.9 GHz on an x86_64 architecture. Operating under the KVM hypervisor, this server provides a high memory-to-core ratio of 8.0 GB per vCPU but includes no local storage or GPU resources. Network performance is anchored by a 3 Gbps baseline bandwidth. Benchmark data indicates average performance across standard compute and memory tasks, with a stress-ng multi-core score of 7770.86 and a Redis SET throughput of 8.03 million operations per second. Conversely, complex tasks like medium-scale LLM inference show weaker execution speeds. Given its high memory density and lack of local storage, this instance is optimized for memory-heavy, network-reliant workloads such as caching layers, in-memory databases, and structured data processing.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.63Score
      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) 1,093,302 ops/sec 1,919,289 ops/sec 0.58 50.00% 50.00% -24.00%
      Redis RPS (pipeline=16, SET) 5,652,783 ops/sec 11,728,058 ops/sec 0.47 20.00% 20.00% -14.00%
      PassMark Memory Mark (composite) 2,630 2,416 1.1 10.00% 10.00% +0.96%
      Memory bandwidth (read, 16 MB ~ L3) 64,703 MB/sec 108,466 MB/sec 0.59 10.00% 10.00% -5.10%
      PassMark single-thread CPU 2,369 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,589

      Geekbench Multi-Core

      Score: 5,941

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 11,412
      Compression
      		 124,873
      Encryption
      		 7,315
      Extended Instructions
      		 6,990
      Floating Point Maths
      		 17,238
      Integer Maths
      		 33,701
      Physics
      		 1,404
      Prime Numbers
      		 75
      Single Threaded
      		 2,369
      String Sorting
      		 17,762

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,630
      Database Operations
      		 4,137
      Memory Latency
      		 53
      Memory Read Cached
      		 23,868
      Memory Read Uncached
      		 12,847
      Memory Write
      		 11,690

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 282.5 320.91 1.14×
      bitops
      		 130,632 533,640 4.09×
      branch
      		 137,579 873,047 6.35×
      funccall
      		 635.39 2,609 4.11×
      funcret
      		 11,842 69,759 5.89×
      hash
      		 151,296 881,166 5.82×
      intmath
      		 61,428 302,263 4.92×
      nop
      		 190,069 665,938 3.50×
      prime
      		 394,308 1,712,126 4.34×
      rotate
      		 98,005 417,695 4.26×
      str
      		 850,209 3,818,411 4.49×
      wcs
      		 602,614 2,179,061 3.62×
      CryptographySingleMultiScaling
      crypt
      		 2,841 10,584 3.73×
      CompressionSingleMultiScaling
      jpeg
      		 729.48 3,772 5.17×
      zlib
      		 65.36 391.37 5.99×
      HypervisorSingleMultiScaling
      clock
      		 26,018 154,621 5.94×
      clone
      		 650.72 1,873 2.88×
      context
      		 4,829 29,129 6.03×
      cpu-sched
      		 79.29 492.34 6.21×
      eventfd
      		 115,068 734,672 6.38×
      fault
      		 18,591 92,292 4.96×
      fork
      		 6,099 32,906 5.40×
      getrandom
      		 51,196 236,786 4.63×
      hrtimers
      		 235,228 1,195,148 5.08×
      mprotect
      		 1,098,356 2,158,694 1.97×
      mtx
      		 12,325,060 280,675,296 22.77×
      munmap
      		 4,360 21,991 5.04×
      null
      		 800,636 3,970,258 4.96×
      pipe
      		 1,100,650 4,624,799 4.20×
      priv-instr
      		 827,485 4,191,756 5.07×
      resched
      		 3,401,115 1,205,037 0.35×
      switch
      		 205,680 1,530,585 7.44×
      timermix
      		 349,015 2,409,390 6.90×
      tlb-shootdown
      		 12,243 23,444 1.91×
      tsc
      		 770,082 4,558,743 5.92×
      usersyscall
      		 644,114 3,231,563 5.02×
      vdso
      		 112,511,594 509,966,165 4.53×
      vfork
      		 48,045 166,489 3.47×
      x86syscall
      		 9,105,230 49,838,387 5.47×
      yield
      		 7,083,119 6,175,838 0.87×
      zero
      		 4,643,251 22,236,961 4.79×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 14,841 76,909 5.18×
      expmath
      		 2,889 16,986 5.88×
      fma
      		 661,865 4,607,761 6.96×
      fp
      		 198.07 832.72 4.20×
      fractal
      		 5 29.6 5.92×
      hyperbolic
      		 3,074 18,272 5.94×
      logmath
      		 4,860 28,196 5.80×
      matrix
      		 3,513 21,615 6.15×
      matrix-3d
      		 769.1 2,263 2.94×
      monte-carlo
      		 258.76 1,400 5.41×
      mpfr
      		 1,409 6,066 4.30×
      powmath
      		 1,693 10,093 5.96×
      trig
      		 1,967 10,044 5.11×
      veccmp
      		 20,285 78,791 3.88×
      vecfp
      		 1,531 7,505 4.90×
      vecmath
      		 3,266 18,779 5.75×
      vecshuf
      		 666.46 2,904 4.36×
      vecwide
      		 31,960 148,612 4.65×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 8 32 4.00×
      bsearch
      		 249.79 1,351 5.41×
      bubblesort
      		 1 3.2 3.20×
      fibsearch
      		 288.97 1,434 4.96×
      heapsort
      		 9.4 43.6 4.64×
      hsearch
      		 7,286 32,612 4.48×
      insertionsort
      		 10.4 25.6 2.46×
      malloc
      		 2,685,068 18,999,951 7.08×
      mcontend
      		 164.54 1,720 10.45×
      mergesort
      		 26.8 150.6 5.62×
      qsort
      		 20.8 87 4.18×
      skiplist
      		 5,459 32,544 5.96×
      tree
      		 1.6 8 5.00×
      MemorySingleMultiScaling
      cache
      		 452,055 764,159 1.69×
      cachehammer
      		 374,091 2,752,546 7.36×
      cacheline
      		 55.31 500.84 9.06×
      l1cache
      		 917.32 1,536 1.67×
      memcpy
      		 408.03 1,602 3.93×
      memrate
      		 1.78 7.82 4.39×
      memthrash
      		 164.94 361.4 2.19×
      ptr-chase
      		 33,763,384 103,076,326 3.05×
      spinmem
      		 359.39 597.17 1.66×
      stream
      		 43.97 1,415 32.17×
      vm
      		 123,656 292,128 2.36×

      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.r7se.3xlarge 1296 GiB0
      ecs.r7se.4xlarge 16128 GiB0
      ecs.r7se.6xlarge 24192 GiB0
      ecs.r7se.8xlarge 32256 GiB0
      ecs.r7se.16xlarge 64512 GiB0

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      ecs.r7se.2xlarge FAQs