ecs.c7a-nps1.8xlarge by Alibaba Cloud

ecs.c7a-nps1.8xlarge is a ecs.c7a family (32 vCPUs, 64 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 32 vCPUs, 64 GiB of memory and 0 GB of storage. The pricing starts at 0.726 USD per hour.
32 vCPU
64 GiB Memory
Spare SCore
43,209
(All-cores)
2,698
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.c7a-nps1.8xlarge
Description
ecs.c7a family (32 vCPUs, 64 GiB RAM, 0 GB storage)
Family
ecs.c7a
Hw Virt
Average Time To Start
13
Status
active
Observed At
2026-10-27T03:17:14.556585

Availability

REGION / IDSPOTONDEMAND
Beijing (CN) / cn-beijing
- 0.726 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.726 USD/h
Shanghai (CN) / cn-shanghai
- 0.726 USD/h
Singapore (SG) / ap-southeast-1
- 1.1968 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
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
      8 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated AMD EPYC compute-optimized instance delivering strong single-core performance and balanced memory bandwidth for compute-heavy workloads.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.c7a-nps1.8xlarge is a compute-optimized instance featuring 32 dedicated vCPUs and 64.0 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 server provides 2.0 GB of memory per core and lacks local storage or GPU accelerators. It features an 8 Gbps baseline network bandwidth. Performance benchmarks show strong single-core CPU capabilities alongside average multi-core and memory bandwidth performance. The hardware configuration makes it a qualitatively cost-efficient choice for compute-intensive workloads that do not require high memory-to-CPU ratios, such as web serving, software compilation, and database operations.

      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) 2,323,789 ops/sec 1,918,343 ops/sec 1.2 50.00% 50.00% +9.50%
      Redis RPS (pipeline=16, SET) 17,283,442 ops/sec 11,704,734 ops/sec 1.4 20.00% 20.00% +7.00%
      PassMark Memory Mark (composite) 2,755 2,416 1.2 10.00% 10.00% +1.80%
      Memory bandwidth (read, 16 MB ~ L3) 84,635 MB/sec 108,420 MB/sec 0.77 10.00% 10.00% -2.60%
      PassMark single-thread CPU 2,390 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,531

      Geekbench Multi-Core

      Score: 13,194

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 38,324
      Compression
      		 503,694
      Encryption
      		 34,052
      Extended Instructions
      		 29,938
      Floating Point Maths
      		 72,844
      Integer Maths
      		 133,079
      Physics
      		 4,033
      Prime Numbers
      		 193
      Single Threaded
      		 2,390
      String Sorting
      		 71,852

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,755
      Database Operations
      		 13,622
      Memory Latency
      		 62
      Memory Read Cached
      		 23,678
      Memory Read Uncached
      		 16,579
      Memory Write
      		 17,464

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 210.05 163.86 0.78×
      bitops
      		 141,195 2,579,241 18.27×
      branch
      		 164,346 4,798,776 29.20×
      funccall
      		 541.08 11,230 20.75×
      funcret
      		 16,417 357,090 21.75×
      hash
      		 136,657 3,330,087 24.37×
      intmath
      		 58,275 1,257,303 21.58×
      nop
      		 283,143 4,562,763 16.11×
      prime
      		 391,871 7,747,221 19.77×
      rotate
      		 77,158 1,236,310 16.02×
      str
      		 842,865 16,898,462 20.05×
      wcs
      		 579,257 10,345,424 17.86×
      CryptographySingleMultiScaling
      crypt
      		 3,208 51,032 15.91×
      CompressionSingleMultiScaling
      jpeg
      		 684.06 15,636 22.86×
      zlib
      		 63.29 1,454 22.97×
      HypervisorSingleMultiScaling
      clock
      		 21,590 260,931 12.09×
      clone
      		 285.66 4,436 15.53×
      context
      		 3,132 83,672 26.71×
      cpu-sched
      		 73.87 2,050 27.75×
      eventfd
      		 61,574 1,302,445 21.15×
      fault
      		 7,760 169,250 21.81×
      fork
      		 3,337 61,270 18.36×
      getrandom
      		 45,392 920,363 20.28×
      hrtimers
      		 763,468 3,148,861 4.12×
      mprotect
      		 712,730 5,068,477 7.11×
      mtx
      		 46,043,140 1,542,759,382 33.51×
      munmap
      		 2,374 45,603 19.21×
      null
      		 407,483 10,341,935 25.38×
      pipe
      		 1,426,347 11,557,187 8.10×
      priv-instr
      		 409,489 9,977,339 24.37×
      resched
      		 6,923,039 3,490,710 0.50×
      switch
      		 146,064 3,382,729 23.16×
      timermix
      		 257,808 5,991,308 23.24×
      tlb-shootdown
      		 13,897 94,585 6.81×
      tsc
      		 668,727 20,440,024 30.57×
      usersyscall
      		 297,382 7,320,583 24.62×
      vdso
      		 76,143,094 1,962,329,090 25.77×
      vfork
      		 20,753 117,379 5.66×
      x86syscall
      		 4,838,626 123,871,386 25.60×
      yield
      		 20,714,609 17,718,902 0.86×
      zero
      		 2,814,607 67,433,035 23.96×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 14,060 230,808 16.42×
      expmath
      		 2,082 55,536 26.68×
      fma
      		 781,734 19,641,993 25.13×
      fp
      		 227.21 5,352 23.55×
      fractal
      		 6.8 178.69 26.28×
      hyperbolic
      		 3,287 80,322 24.44×
      logmath
      		 3,879 89,090 22.97×
      matrix
      		 2,720 64,487 23.71×
      matrix-3d
      		 104.51 3,377 32.31×
      monte-carlo
      		 172.72 4,454 25.79×
      mpfr
      		 1,398 27,397 19.60×
      powmath
      		 1,170 30,667 26.21×
      trig
      		 1,496 37,058 24.77×
      veccmp
      		 16,014 337,374 21.07×
      vecfp
      		 1,480 33,525 22.65×
      vecmath
      		 3,422 86,947 25.41×
      vecshuf
      		 534.42 9,969 18.65×
      vecwide
      		 23,703 481,075 20.30×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 8.6 144.4 16.79×
      bsearch
      		 261.42 5,388 20.61×
      bubblesort
      		 0.8 19.2 24.00×
      fibsearch
      		 320.91 6,062 18.89×
      heapsort
      		 9 182.4 20.27×
      hsearch
      		 7,591 139,090 18.32×
      insertionsort
      		 11.6 185.2 15.97×
      malloc
      		 2,978,907 50,799,700 17.05×
      mcontend
      		 126.29 5,113 40.49×
      mergesort
      		 27.4 638.38 23.30×
      qsort
      		 18.79 403.99 21.50×
      skiplist
      		 6,199 151,210 24.39×
      tree
      		 1.6 23.78 14.86×
      MemorySingleMultiScaling
      cache
      		 602,636 1,176,668 1.95×
      cachehammer
      		 256,178 6,840,480 26.70×
      cacheline
      		 32.37 1,312 40.54×
      l1cache
      		 159.51 2,525 15.83×
      memcpy
      		 365.95 5,579 15.25×
      memrate
      		 2.54 11.9 4.69×
      memthrash
      		 171.85 825.23 4.80×
      ptr-chase
      		 40,037,640 262,788,450 6.56×
      spinmem
      		 355.75 2,223 6.25×
      stream
      		 98.41 11,534 117.20×
      vm
      		 59,052 295,638 5.01×

      Stress-ng Raw Scores

      Stress-ng Relative Multicore Performance

      Static Web Server

      Redis

      Alternatives

      Servers of the Same Family

      INSTANCEvCPUsMEMORYAccelerators
      ecs.c7a.large 24 GiB0
      ecs.c7a.xlarge 48 GiB0
      ecs.c7a.2xlarge 816 GiB0
      ecs.c7a.4xlarge 1632 GiB0
      ecs.c7a.8xlarge 3264 GiB0
      ecs.c7a-nps1.16xlarge 64128 GiB0
      ecs.c7a.16xlarge 64128 GiB0

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      ecs.c7a-nps1.8xlarge FAQs