ecs.r7a.16xlarge by Alibaba Cloud

ecs.r7a.16xlarge is a ecs.r7a family (64 vCPUs, 512 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 64 vCPUs, 512 GiB of memory and 0 GB of storage. The pricing starts at 0.6497 USD per hour.
64 vCPU
512 GiB Memory
Spare SCore
86,393
(All-cores)
2,698
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.r7a.16xlarge
Description
ecs.r7a family (64 vCPUs, 512 GiB RAM, 0 GB storage)
Family
ecs.r7a
Hw Virt
Status
active
Observed At
2026-10-27T10:36:44.956679

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
- 2.658 USD/h
Chengdu (CN) / cn-chengdu
0.6497 USD/h 2.953 USD/h
Guangzhou (CN) / cn-guangzhou
0.6497 USD/h 2.953 USD/h
Beijing (CN) / cn-beijing
- 2.953 USD/h
Hangzhou (CN) / cn-hangzhou
- 2.953 USD/h
Shanghai (CN) / cn-shanghai
- 2.953 USD/h
Shenzhen (CN) / cn-shenzhen
- 2.953 USD/h
Virginia (US) / us-east-1
0.7166 USD/h 3.2571 USD/h
Frankfurt (DE) / eu-central-1
0.8258 USD/h 3.7536 USD/h
Jakarta (ID) / ap-southeast-5
- 3.971 USD/h
Singapore (SG) / ap-southeast-1
- 4.1344 USD/h

Processor

vCPUs
64
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
32
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
1 MiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
1 MiB
CPU L2 Cache
512 KiB
CPU L2 Cache Total
16 MiB
CPU L3 Cache
32 MiB
CPU L3 Cache Total
128 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
32
Scalability
50

System Resources and Accelerators

MEMORY
Memory Amount
512 GiB
Memory Amount Actual
512 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

      A memory-optimized virtual server featuring dedicated AMD EPYC processors and high memory density for demanding enterprise database workloads.

      Memory OptimizedGeneral Purpose

      Alibaba Cloud ecs.r7a.16xlarge is a memory-optimized server featuring 64 dedicated vCPUs and 512.0 GB of RAM, powered by an AMD EPYC 7T83 processor on the x86_64 architecture. Operating on a KVM hypervisor, this instance provides 8.0 GB of memory per core but does not include local storage or GPU accelerators. Network performance is supported by a 16 Gbps baseline bandwidth. Benchmarks show strong multi-core CPU performance, high memory bandwidth for small cached blocks, and strong encryption capabilities, while large-block memory operations and single-threaded tasks perform at average levels. Lacking local storage, it relies on network-attached storage options. This hardware profile is designed for memory-intensive workloads, including large databases, in-memory caching, and multi-threaded data processing.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.9Score
      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) 4,688,504 ops/sec 1,918,343 ops/sec 2.5 50.00% 50.00% +58.00%
      Redis RPS (pipeline=16, SET) 35,248,866 ops/sec 11,704,734 ops/sec 2.9 20.00% 20.00% +24.00%
      PassMark Memory Mark (composite) 2,867 2,416 1.2 10.00% 10.00% +1.80%
      Memory bandwidth (read, 16 MB ~ L3) 80,043 MB/sec 108,420 MB/sec 0.73 10.00% 10.00% -3.10%
      PassMark single-thread CPU 2,386 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,537

      Geekbench Multi-Core

      Score: 14,127

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 58,937
      Compression
      		 997,863
      Encryption
      		 68,053
      Extended Instructions
      		 58,252
      Floating Point Maths
      		 145,719
      Integer Maths
      		 266,092
      Physics
      		 3,931
      Prime Numbers
      		 321
      Single Threaded
      		 2,386
      String Sorting
      		 109,709

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,867
      Database Operations
      		 21,246
      Memory Latency
      		 59
      Memory Read Cached
      		 23,684
      Memory Read Uncached
      		 17,580
      Memory Write
      		 15,619

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 453.35 149.34 0.33×
      bitops
      		 141,252 5,232,063 37.04×
      branch
      		 164,438 9,685,419 58.90×
      funccall
      		 541.14 22,330 41.27×
      funcret
      		 16,852 713,267 42.32×
      hash
      		 136,917 6,687,101 48.84×
      intmath
      		 58,367 2,531,896 43.38×
      nop
      		 283,196 9,143,842 32.29×
      prime
      		 393,966 15,527,960 39.41×
      rotate
      		 77,255 2,469,876 31.97×
      str
      		 868,341 33,953,570 39.10×
      wcs
      		 567,016 20,661,814 36.44×
      CryptographySingleMultiScaling
      crypt
      		 3,196 102,153 31.97×
      CompressionSingleMultiScaling
      jpeg
      		 687.66 29,439 42.81×
      zlib
      		 43.5 3,047 70.04×
      HypervisorSingleMultiScaling
      clock
      		 20,374 242,204 11.89×
      clone
      		 265.84 5,634 21.19×
      context
      		 3,071 166,210 54.12×
      cpu-sched
      		 65.08 4,060 62.39×
      eventfd
      		 54,727 2,665,741 48.71×
      fault
      		 7,990 139,114 17.41×
      fork
      		 3,386 68,762 20.31×
      getrandom
      		 45,373 1,838,927 40.53×
      hrtimers
      		 191,652 4,423,711 23.08×
      mprotect
      		 644,759 9,932,059 15.40×
      mtx
      		 43,989,081 3,254,540,921 73.99×
      munmap
      		 2,365 69,101 29.22×
      null
      		 402,544 20,754,889 51.56×
      pipe
      		 1,502,858 23,803,913 15.84×
      priv-instr
      		 410,507 18,798,939 45.79×
      resched
      		 7,547,990 6,069,486 0.80×
      switch
      		 138,365 6,352,265 45.91×
      timermix
      		 250,275 11,981,218 47.87×
      tlb-shootdown
      		 13,126 109,624 8.35×
      tsc
      		 669,685 41,232,327 61.57×
      usersyscall
      		 295,643 14,356,385 48.56×
      vdso
      		 77,660,316 4,188,410,418 53.93×
      vfork
      		 20,121 96,579 4.80×
      x86syscall
      		 4,861,426 244,861,302 50.37×
      yield
      		 36,386,637 39,544,790 1.09×
      zero
      		 2,771,825 133,090,635 48.02×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 13,977 461,070 32.99×
      expmath
      		 2,543 128,892 50.68×
      fma
      		 781,011 39,555,721 50.65×
      fp
      		 227.99 10,460 45.88×
      fractal
      		 6.79 357.39 52.63×
      hyperbolic
      		 3,292 160,735 48.83×
      logmath
      		 3,878 178,569 46.05×
      matrix
      		 2,714 128,332 47.29×
      matrix-3d
      		 625.43 2,754 4.40×
      monte-carlo
      		 182.23 8,948 49.10×
      mpfr
      		 1,402 54,651 38.98×
      powmath
      		 1,213 63,341 52.21×
      trig
      		 1,493 73,866 49.48×
      veccmp
      		 15,992 675,356 42.23×
      vecfp
      		 1,480 65,627 44.35×
      vecmath
      		 3,416 176,835 51.76×
      vecshuf
      		 534.49 19,938 37.30×
      vecwide
      		 23,672 966,510 40.83×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 8.6 294.39 34.23×
      bsearch
      		 263.44 11,122 42.22×
      bubblesort
      		 0.8 38.4 48.00×
      fibsearch
      		 321.04 12,348 38.46×
      heapsort
      		 9 369.19 41.02×
      hsearch
      		 7,432 279,451 37.60×
      insertionsort
      		 11.6 358.4 30.90×
      malloc
      		 2,959,424 88,887,441 30.04×
      mcontend
      		 106.88 10,190 95.34×
      mergesort
      		 27.2 1,275 46.88×
      qsort
      		 18.4 806.79 43.85×
      skiplist
      		 6,160 303,177 49.22×
      tree
      		 1.6 38.36 23.97×
      MemorySingleMultiScaling
      cache
      		 506,517 1,189,834 2.35×
      cachehammer
      		 287,889 9,978,604 34.66×
      cacheline
      		 24.79 2,020 81.50×
      l1cache
      		 147.95 4,818 32.56×
      memcpy
      		 366.1 11,181 30.54×
      memrate
      		 2.35 12.02 5.11×
      memthrash
      		 196.44 715.25 3.64×
      ptr-chase
      		 40,634,290 410,895,314 10.11×
      spinmem
      		 356.59 4,811 13.49×
      stream
      		 45.69 9,041 197.87×
      vm
      		 58,957 300,619 5.10×

      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

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      ecs.r7a.16xlarge FAQs