ecs.r7a.4xlarge by Alibaba Cloud

ecs.r7a.4xlarge is a ecs.r7a 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 0.1262 USD per hour.
16 vCPU
128 GiB Memory
Spare SCore
21,580
(All-cores)
2,699
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.r7a.4xlarge
Description
ecs.r7a family (16 vCPUs, 128 GiB RAM, 0 GB storage)
Family
ecs.r7a
Hw Virt
Status
active
Observed At
2026-10-25T16:37:34.506286

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
0.1262 USD/h 0.664 USD/h
Chengdu (CN) / cn-chengdu
0.1624 USD/h 0.738 USD/h
Guangzhou (CN) / cn-guangzhou
0.1624 USD/h 0.738 USD/h
Shenzhen (CN) / cn-shenzhen
0.1919 USD/h 0.738 USD/h
Beijing (CN) / cn-beijing
- 0.738 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.738 USD/h
Shanghai (CN) / cn-shanghai
- 0.738 USD/h
Virginia (US) / us-east-1
0.1791 USD/h 0.8143 USD/h
Frankfurt (DE) / eu-central-1
0.19235 USD/h 0.9384 USD/h
Jakarta (ID) / ap-southeast-5
0.2582 USD/h 0.993 USD/h
Tokyo (JP) / ap-northeast-1
0.2274 USD/h 1.0336 USD/h
Hong Kong (HK) / cn-hongkong
0.2274 USD/h 1.0336 USD/h
Singapore (SG) / ap-southeast-1
0.2687 USD/h 1.0336 USD/h

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
8
CPU Speed
2.55 GHz
CPU Architecture
x86_64
CPU Manufacturer
AMD
CPU Family
EPYC
CPU Model
7T83
CPU L1D Cache
32 KiB
CPU L1D Cache Total
256 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
256 KiB
CPU L2 Cache
512 KiB
CPU L2 Cache Total
4 MiB
CPU L3 Cache
32 MiB
CPU L3 Cache Total
32 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, ht, syscall, nx, mmxext, fxsr_opt, pdpe1gb, rdtscp, lm, constant_tsc, rep_good, nopl, nonstop_tsc, cpuid, extd_apicid, 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, cmp_legacy, cr8_legacy, abm, sse4a, misalignsse, 3dnowprefetch, osvw, topoext, ssbd, ibrs, ibpb, stibp, vmmcall, tsc_adjust, bmi1, avx2, smep, bmi2, erms, invpcid, rdseed, adx, smap, clflushopt, clwb, sha_ni, xsaveopt, xsavec, xgetbv1, xsaves, clzero, xsaveerptr, wbnoinvd, arat, vaes, vpclmulqdq, rdpid, fsrm
Ecpus
8
Scalability
50

System Resources and Accelerators

MEMORY
Memory Amount
128 GiB
Memory Amount Actual
128 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
      5 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 AMD EPYC processing and high RAM density for memory-bound enterprise workloads.

      Memory OptimizedGeneral Purpose

      Alibaba Cloud ecs.r7a.4xlarge is a memory-optimized virtual machine instance featuring 16 dedicated vCPUs and 128.0 GB of RAM, powered by an AMD EPYC 7T83 processor running at 2.55 GHz. Built on the x86_64 architecture under the KVM hypervisor, this instance provides 8.0 GB of memory per core but lacks local storage and GPU accelerators. It delivers a baseline network bandwidth of 5 Gbps. Performance benchmarks show strong single-core CPU execution and strong text generation speeds for small language models, while multi-core operations and database tasks perform at average levels. However, uncached large-block memory bandwidth is a notable bottleneck, scoring in the bottom 25%. This profile makes the ecs.r7a.4xlarge qualitatively cost-efficient for memory-intensive workloads such as Redis caching, database hosting, and memory-bound enterprise applications that do not rely on high-speed local storage.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.68Score
      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) 1,213,072 ops/sec 1,919,289 ops/sec 0.63 50.00% 50.00% -21.00%
      Redis RPS (pipeline=16, SET) 8,949,304 ops/sec 11,728,058 ops/sec 0.74 20.00% 20.00% -5.80%
      PassMark Memory Mark (composite) 2,700 2,416 1.1 10.00% 10.00% +0.96%
      Memory bandwidth (read, 16 MB ~ L3) 38,648 MB/sec 108,466 MB/sec 0.35 10.00% 10.00% -10.00%
      PassMark single-thread CPU 2,387 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,532

      Geekbench Multi-Core

      Score: 8,699

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 21,162
      Compression
      		 251,453
      Encryption
      		 17,016
      Extended Instructions
      		 14,900
      Floating Point Maths
      		 36,324
      Integer Maths
      		 66,472
      Physics
      		 1,660
      Prime Numbers
      		 94
      Single Threaded
      		 2,387
      String Sorting
      		 33,982

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,700
      Database Operations
      		 6,720
      Memory Latency
      		 58
      Memory Read Cached
      		 23,642
      Memory Read Uncached
      		 17,537
      Memory Write
      		 15,819

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 236.87 204.32 0.86×
      bitops
      		 141,281 1,307,753 9.26×
      branch
      		 164,304 2,416,984 14.71×
      funccall
      		 540.91 5,570 10.30×
      funcret
      		 16,845 178,224 10.58×
      hash
      		 136,582 1,669,174 12.22×
      intmath
      		 58,441 630,320 10.79×
      nop
      		 283,095 2,282,407 8.06×
      prime
      		 393,538 3,872,526 9.84×
      rotate
      		 77,170 618,562 8.02×
      str
      		 869,158 7,935,589 9.13×
      wcs
      		 574,430 5,253,583 9.15×
      CryptographySingleMultiScaling
      crypt
      		 3,217 25,954 8.07×
      CompressionSingleMultiScaling
      jpeg
      		 724.98 7,950 10.97×
      zlib
      		 52.81 766.41 14.51×
      HypervisorSingleMultiScaling
      clock
      		 23,156 234,910 10.14×
      clone
      		 392.45 2,518 6.42×
      context
      		 3,151 42,304 13.42×
      cpu-sched
      		 66.21 1,006 15.19×
      eventfd
      		 65,366 797,991 12.21×
      fault
      		 7,842 103,466 13.19×
      fork
      		 4,159 42,662 10.26×
      getrandom
      		 45,307 459,390 10.14×
      hrtimers
      		 122,636 1,770,632 14.44×
      mprotect
      		 1,134,546 2,658,051 2.34×
      mtx
      		 28,416,063 892,545,331 31.41×
      munmap
      		 2,671 30,541 11.43×
      null
      		 403,698 5,208,945 12.90×
      pipe
      		 1,530,145 5,134,356 3.36×
      priv-instr
      		 412,005 5,280,839 12.82×
      resched
      		 4,467,263 1,262,317 0.28×
      switch
      		 194,359 1,612,602 8.30×
      timermix
      		 250,087 3,002,654 12.01×
      tlb-shootdown
      		 19,332 52,981 2.74×
      tsc
      		 669,004 10,294,462 15.39×
      usersyscall
      		 295,709 3,782,315 12.79×
      vdso
      		 77,305,736 1,045,038,721 13.52×
      vfork
      		 29,605 200,877 6.79×
      x86syscall
      		 4,878,990 62,212,011 12.75×
      yield
      		 7,590,683 8,919,818 1.18×
      zero
      		 2,791,247 33,430,129 11.98×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 13,981 115,626 8.27×
      expmath
      		 2,450 30,728 12.54×
      fma
      		 777,030 9,869,936 12.70×
      fp
      		 227.8 2,616 11.49×
      fractal
      		 6.8 89.41 13.15×
      hyperbolic
      		 3,292 40,169 12.20×
      logmath
      		 3,879 44,582 11.49×
      matrix
      		 2,713 32,104 11.83×
      matrix-3d
      		 814.23 1,273 1.56×
      monte-carlo
      		 182.7 2,240 12.26×
      mpfr
      		 1,403 13,591 9.69×
      powmath
      		 1,208 15,818 13.10×
      trig
      		 1,492 18,482 12.39×
      veccmp
      		 15,975 168,602 10.55×
      vecfp
      		 1,478 16,262 11.00×
      vecmath
      		 3,417 44,162 12.93×
      vecshuf
      		 533.82 4,977 9.32×
      vecwide
      		 23,663 240,911 10.18×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 8.6 73.6 8.56×
      bsearch
      		 252.89 2,786 11.01×
      bubblesort
      		 0.8 9.6 12.00×
      fibsearch
      		 320.81 3,078 9.59×
      heapsort
      		 9.4 92 9.79×
      hsearch
      		 7,326 68,896 9.40×
      insertionsort
      		 11.6 92.8 8.00×
      malloc
      		 3,116,609 36,534,710 11.72×
      mcontend
      		 234.22 3,039 12.98×
      mergesort
      		 27.2 322.19 11.85×
      qsort
      		 18.6 201 10.81×
      skiplist
      		 6,189 75,597 12.21×
      tree
      		 1.8 11.19 6.22×
      MemorySingleMultiScaling
      cache
      		 658,427 1,311,871 1.99×
      cachehammer
      		 297,088 3,940,733 13.26×
      cacheline
      		 37.76 618.4 16.38×
      l1cache
      		 136.71 1,265 9.25×
      memcpy
      		 365.91 2,798 7.65×
      memrate
      		 2.35 3.05 1.30×
      memthrash
      		 122.9 332.81 2.71×
      ptr-chase
      		 40,774,223 124,462,194 3.05×
      spinmem
      		 356.19 1,052 2.95×
      stream
      		 94.51 1,901 20.12×
      vm
      		 59,078 292,811 4.96×

      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

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      ecs.r7a.8xlarge 32256 GiB0
      ecs.r7a-nps1.16xlarge 64512 GiB0
      ecs.r7a.16xlarge 64512 GiB0

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      ecs.r7a.4xlarge FAQs