ecs.r7t.4xlarge by Alibaba Cloud

ecs.r7t.4xlarge is a ecs.r7t family (16 vCPUs, 128 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 16 vCPUs, 128 GiB of memory and 0 GB of storage. The pricing starts at 0.9733 USD per hour.
16 vCPU
128 GiB Memory
Spare SCore
15,553
(All-cores)
1,861
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.r7t.4xlarge
Description
ecs.r7t family (16 vCPUs, 128 GiB RAM, 0 GB storage)
Family
ecs.r7t
Hw Virt
Status
active
Observed At
2026-10-26T17:29:26.539630

Availability

REGION / IDSPOTONDEMAND
Beijing (CN) / cn-beijing
- 0.9733 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.9733 USD/h
Shanghai (CN) / cn-shanghai
- 0.9733 USD/h
Seoul (KR) / ap-northeast-2
- 1.2094 USD/h

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
8
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
384 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
256 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
10 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, sgx, 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, sgx_lc, fsrm, arch_capabilities
Ecpus
8.4
Scalability
52.5

System Resources and Accelerators

MEMORY
Memory Amount
128 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
      10 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 caching and enterprise applications.

      Memory OptimizedGeneral Purpose

      Alibaba Cloud ecs.r7t.4xlarge is a memory-optimized instance featuring 16 dedicated vCPUs and 128.0 GB of RAM, powered by an Intel Xeon 8369B processor running at 2.7 GHz. Utilizing the KVM hypervisor, this x86_64 architecture server provides a high memory-to-vCPU ratio of 8.0 GB per core, though it lacks local storage and GPU accelerators. Baseline network performance is rated at 10 Gbps. Benchmark results place the instance in the average tier for general compute and memory bandwidth, with a Geekbench multi-core score of 9709.0 and a Passmark CPU score of 21137.68. However, it exhibits strong performance in small-scale LLM text generation at 265.61 tokens/sec. Lacking local storage, this instance is qualitatively cost-efficient for memory-heavy workloads that rely on network storage, making it suitable for in-memory databases, Redis caching, and enterprise application hosting.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1Score
      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) 2,103,081 ops/sec 1,919,289 ops/sec 1.1 50.00% 50.00% +4.90%
      Redis RPS (pipeline=16, SET) 11,095,989 ops/sec 11,728,058 ops/sec 0.92 20.00% 20.00% -1.70%
      PassMark Memory Mark (composite) 2,441 2,416 1 10.00% 10.00% 0.00%
      Memory bandwidth (read, 16 MB ~ L3) 102,958 MB/sec 108,466 MB/sec 0.91 10.00% 10.00% -0.94%
      PassMark single-thread CPU 2,368 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,607

      Geekbench Multi-Core

      Score: 9,709

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 21,138
      Compression
      		 246,933
      Encryption
      		 14,650
      Extended Instructions
      		 14,118
      Floating Point Maths
      		 34,486
      Integer Maths
      		 67,443
      Physics
      		 2,282
      Prime Numbers
      		 131
      Single Threaded
      		 2,368
      String Sorting
      		 35,050

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,441
      Database Operations
      		 7,706
      Memory Latency
      		 62
      Memory Read Cached
      		 23,919
      Memory Read Uncached
      		 11,190
      Memory Write
      		 10,454

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 279.94 327.11 1.17×
      bitops
      		 130,114 1,067,324 8.20×
      branch
      		 137,530 1,748,308 12.71×
      funccall
      		 635.53 5,205 8.19×
      funcret
      		 11,942 140,470 11.76×
      hash
      		 151,311 1,762,845 11.65×
      intmath
      		 61,402 606,078 9.87×
      nop
      		 190,206 1,335,852 7.02×
      prime
      		 394,275 3,412,389 8.65×
      rotate
      		 98,003 832,897 8.50×
      str
      		 870,938 7,228,595 8.30×
      wcs
      		 618,157 4,179,407 6.76×
      CryptographySingleMultiScaling
      crypt
      		 2,841 21,114 7.43×
      CompressionSingleMultiScaling
      jpeg
      		 725.71 7,480 10.31×
      zlib
      		 53.37 668.85 12.53×
      HypervisorSingleMultiScaling
      clock
      		 25,672 246,326 9.60×
      clone
      		 580.23 3,591 6.19×
      context
      		 4,834 58,250 12.05×
      cpu-sched
      		 63.09 1,036 16.42×
      eventfd
      		 114,492 720,620 6.29×
      fault
      		 18,519 166,249 8.98×
      fork
      		 5,917 54,151 9.15×
      getrandom
      		 51,212 473,755 9.25×
      hrtimers
      		 207,949 2,068,006 9.94×
      mprotect
      		 1,158,901 4,267,235 3.68×
      mtx
      		 8,636,798 546,815,033 63.31×
      munmap
      		 4,216 40,308 9.56×
      null
      		 802,003 7,901,461 9.85×
      pipe
      		 1,028,615 8,482,102 8.25×
      priv-instr
      		 828,797 8,291,727 10.00×
      resched
      		 7,742,859 2,338,785 0.30×
      switch
      		 246,884 2,821,258 11.43×
      timermix
      		 347,054 4,835,796 13.93×
      tlb-shootdown
      		 11,451 38,475 3.36×
      tsc
      		 769,985 9,121,487 11.85×
      usersyscall
      		 645,814 6,411,625 9.93×
      vdso
      		 112,355,116 1,020,386,150 9.08×
      vfork
      		 47,675 234,999 4.93×
      x86syscall
      		 9,131,396 99,525,610 10.90×
      yield
      		 13,977,604 13,620,460 0.97×
      zero
      		 4,640,503 44,458,535 9.58×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 14,837 154,554 10.42×
      expmath
      		 2,888 34,025 11.78×
      fma
      		 661,444 9,225,787 13.95×
      fp
      		 179.31 1,629 9.09×
      fractal
      		 5 59.2 11.84×
      hyperbolic
      		 3,073 36,548 11.89×
      logmath
      		 4,850 56,296 11.61×
      matrix
      		 3,547 44,500 12.55×
      matrix-3d
      		 738.09 3,674 4.98×
      monte-carlo
      		 258.72 2,791 10.79×
      mpfr
      		 1,414 12,103 8.56×
      powmath
      		 1,688 20,213 11.98×
      trig
      		 1,967 20,087 10.21×
      veccmp
      		 20,254 157,682 7.79×
      vecfp
      		 1,530 14,951 9.77×
      vecmath
      		 3,236 37,559 11.61×
      vecshuf
      		 666.1 5,808 8.72×
      vecwide
      		 31,669 296,832 9.37×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 8 64 8.00×
      bsearch
      		 249.4 2,724 10.92×
      bubblesort
      		 1 6.4 6.40×
      fibsearch
      		 290.3 2,929 10.09×
      heapsort
      		 9.4 86.4 9.19×
      hsearch
      		 7,349 65,262 8.88×
      insertionsort
      		 10.6 51 4.81×
      malloc
      		 2,662,259 27,420,729 10.30×
      mcontend
      		 125.49 3,279 26.13×
      mergesort
      		 26.8 300.99 11.23×
      qsort
      		 20.6 173.39 8.42×
      skiplist
      		 5,455 64,913 11.90×
      tree
      		 1.6 12.79 7.99×
      MemorySingleMultiScaling
      cache
      		 438,680 783,334 1.79×
      cachehammer
      		 359,590 4,971,166 13.82×
      cacheline
      		 75.16 1,053 14.01×
      l1cache
      		 917.98 3,059 3.33×
      memcpy
      		 407.36 3,191 7.83×
      memrate
      		 1.78 9.5 5.34×
      memthrash
      		 225.74 653.82 2.90×
      ptr-chase
      		 34,766,476 160,030,402 4.60×
      spinmem
      		 346.19 1,015 2.93×
      stream
      		 41.3 4,194 101.54×
      vm
      		 110,211 293,924 2.67×

      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.r7t.large 216 GiB0
      ecs.r7t.xlarge 432 GiB0
      ecs.r7t.2xlarge 864 GiB0
      ecs.r7t.3xlarge 1296 GiB0
      ecs.r7t.6xlarge 24192 GiB0
      ecs.r7t.8xlarge 32256 GiB0
      ecs.r7t.16xlarge 64512 GiB0

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      ecs.r7t.4xlarge FAQs