ecs.r7a-nps1.8xlarge by Alibaba Cloud

ecs.r7a-nps1.8xlarge is a ecs.r7a family (32 vCPUs, 256 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 32 vCPUs, 256 GiB of memory and 0 GB of storage. The pricing starts at 1.477 USD per hour.
32 vCPU
256 GiB Memory
Spare SCore
43,093
(All-cores)
2,694
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.r7a-nps1.8xlarge
Description
ecs.r7a family (32 vCPUs, 256 GiB RAM, 0 GB storage)
Family
ecs.r7a
Hw Virt
Average Time To Start
8
Status
active
Observed At
2026-10-26T23:54:08.526078

Availability

REGION / IDSPOTONDEMAND
Shanghai (CN) / cn-shanghai
- 1.477 USD/h

Processor

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

System Resources and Accelerators

MEMORY
Memory Amount
256 GiB
Memory Amount Actual
256 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 x86_64 virtual server featuring dedicated AMD EPYC processors and a high memory-to-vCPU ratio for database and caching workloads.

      Memory OptimizedGeneral Purpose

      Alibaba Cloud ecs.r7a-nps1.8xlarge is an x86_64 memory-optimized server instance powered by a 2.55 GHz AMD EPYC 7T83 processor. It features 32 dedicated vCPUs across 16 physical cores, paired with 256.0 GB of RAM, providing a high 8.0 GB of memory per vCPU. The instance does not include local storage or GPU accelerators, relying instead on network-attached storage and an 8 Gbps baseline network bandwidth. Performance benchmarks show strong single-core CPU and memory subsystem capabilities, while multi-core and memory bandwidth metrics sit in the average tier. Cryptographic tasks are accelerated via AES and SHA_NI instruction sets. This hardware profile is optimized for memory-intensive workloads, including database hosting, caching systems, and enterprise applications requiring substantial memory capacity without the need for local high-speed storage.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.2Score
      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) 2,316,656 ops/sec 1,918,343 ops/sec 1.2 50.00% 50.00% +9.50%
      Redis RPS (pipeline=16, SET) 17,071,087 ops/sec 11,704,734 ops/sec 1.4 20.00% 20.00% +7.00%
      PassMark Memory Mark (composite) 2,760 2,416 1.2 10.00% 10.00% +1.80%
      Memory bandwidth (read, 16 MB ~ L3) 83,604 MB/sec 108,420 MB/sec 0.76 10.00% 10.00% -2.70%
      PassMark single-thread CPU 2,383 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,528

      Geekbench Multi-Core

      Score: 13,075

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 38,144
      Compression
      		 501,507
      Encryption
      		 34,058
      Extended Instructions
      		 29,880
      Floating Point Maths
      		 72,708
      Integer Maths
      		 132,510
      Physics
      		 3,995
      Prime Numbers
      		 191
      Single Threaded
      		 2,383
      String Sorting
      		 70,479

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,760
      Database Operations
      		 13,335
      Memory Latency
      		 63
      Memory Read Cached
      		 23,593
      Memory Read Uncached
      		 16,670
      Memory Write
      		 17,261

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 206.98 165 0.80×
      bitops
      		 141,022 2,586,523 18.34×
      branch
      		 163,742 4,761,706 29.08×
      funccall
      		 540.38 11,161 20.65×
      funcret
      		 16,876 355,555 21.07×
      hash
      		 136,462 3,327,421 24.38×
      intmath
      		 58,141 1,255,580 21.60×
      nop
      		 282,570 4,558,686 16.13×
      prime
      		 391,974 7,742,441 19.75×
      rotate
      		 77,054 1,228,250 15.94×
      str
      		 863,816 16,918,713 19.59×
      wcs
      		 572,830 10,549,448 18.42×
      CryptographySingleMultiScaling
      crypt
      		 3,210 51,278 15.97×
      CompressionSingleMultiScaling
      jpeg
      		 688.71 15,676 22.76×
      zlib
      		 59.73 1,364 22.84×
      HypervisorSingleMultiScaling
      clock
      		 21,830 257,901 11.81×
      clone
      		 272.58 4,401 16.15×
      context
      		 3,134 83,136 26.53×
      cpu-sched
      		 55.42 2,028 36.60×
      eventfd
      		 63,185 1,352,950 21.41×
      fault
      		 7,730 169,982 21.99×
      fork
      		 3,405 61,963 18.20×
      getrandom
      		 45,278 918,086 20.28×
      hrtimers
      		 178,834 3,263,662 18.25×
      mprotect
      		 711,659 5,057,140 7.11×
      mtx
      		 44,124,154 1,452,842,758 32.93×
      munmap
      		 2,381 45,784 19.23×
      null
      		 406,555 10,312,783 25.37×
      pipe
      		 1,491,005 10,892,504 7.31×
      priv-instr
      		 410,657 9,930,663 24.18×
      resched
      		 6,894,628 3,477,101 0.50×
      switch
      		 179,606 3,380,933 18.82×
      timermix
      		 250,884 5,981,356 23.84×
      tlb-shootdown
      		 13,146 95,861 7.29×
      tsc
      		 667,544 20,454,978 30.64×
      usersyscall
      		 297,389 7,289,094 24.51×
      vdso
      		 75,974,384 1,959,685,977 25.79×
      vfork
      		 20,405 118,769 5.82×
      x86syscall
      		 4,832,533 123,461,145 25.55×
      yield
      		 20,137,065 16,957,540 0.84×
      zero
      		 2,812,688 66,987,601 23.82×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 13,755 228,485 16.61×
      expmath
      		 2,400 62,147 25.90×
      fma
      		 780,084 19,554,526 25.07×
      fp
      		 226.61 5,350 23.61×
      fractal
      		 6.8 178.3 26.22×
      hyperbolic
      		 3,281 79,788 24.32×
      logmath
      		 3,875 88,866 22.93×
      matrix
      		 2,712 64,237 23.69×
      matrix-3d
      		 189.6 3,338 17.61×
      monte-carlo
      		 172.59 4,450 25.78×
      mpfr
      		 1,398 27,245 19.49×
      powmath
      		 1,177 31,098 26.42×
      trig
      		 1,491 36,845 24.71×
      veccmp
      		 15,981 336,821 21.08×
      vecfp
      		 1,478 34,226 23.16×
      vecmath
      		 3,418 88,332 25.84×
      vecshuf
      		 533.69 9,934 18.61×
      vecwide
      		 23,675 479,948 20.27×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 8.6 144.8 16.84×
      bsearch
      		 262.22 5,446 20.77×
      bubblesort
      		 0.8 17.2 21.50×
      fibsearch
      		 320.31 6,074 18.96×
      heapsort
      		 9 186.99 20.78×
      hsearch
      		 7,340 138,971 18.93×
      insertionsort
      		 11.6 185.6 16.00×
      malloc
      		 3,062,736 49,127,263 16.04×
      mcontend
      		 132.04 5,260 39.84×
      mergesort
      		 27.2 639.58 23.51×
      qsort
      		 18.6 400.59 21.54×
      skiplist
      		 6,210 152,206 24.51×
      tree
      		 1.6 23.97 14.98×
      MemorySingleMultiScaling
      cache
      		 619,717 1,148,517 1.85×
      cachehammer
      		 260,923 6,933,765 26.57×
      cacheline
      		 31.96 1,319 41.26×
      l1cache
      		 156.77 2,526 16.11×
      memcpy
      		 365.55 5,592 15.30×
      memrate
      		 2.54 12.06 4.75×
      memthrash
      		 149.57 791.11 5.29×
      ptr-chase
      		 40,732,812 261,527,707 6.42×
      spinmem
      		 350.79 2,232 6.36×
      stream
      		 96.01 11,515 119.93×
      vm
      		 59,806 295,652 4.94×

      Stress-ng Raw Scores

      Stress-ng Relative Multicore Performance

      Static Web Server

      Redis

      Alternatives

      Servers of the Same Family

      INSTANCEvCPUsMEMORYAccelerators
      ecs.r7a.large 216 GiB0
      ecs.r7a.xlarge 432 GiB0
      ecs.r7a.2xlarge 864 GiB0
      ecs.r7a.4xlarge 16128 GiB0
      ecs.r7a.8xlarge 32256 GiB0
      ecs.r7a-nps1.16xlarge 64512 GiB0
      ecs.r7a.16xlarge 64512 GiB0

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      ecs.r7a-nps1.8xlarge FAQs