ecs.g7a-nps1.8xlarge by Alibaba Cloud

ecs.g7a-nps1.8xlarge is a ecs.g7a family (32 vCPUs, 128 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 32 vCPUs, 128 GiB of memory and 0 GB of storage. The pricing starts at 0.2398 USD per hour.
32 vCPU
128 GiB Memory
Spare SCore
43,140
(All-cores)
2,697
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.g7a-nps1.8xlarge
Description
ecs.g7a family (32 vCPUs, 128 GiB RAM, 0 GB storage)
Family
ecs.g7a
Hw Virt
Average Time To Start
8
Status
active
Observed At
2026-11-02T21:57:11.244642

Availability

REGION / IDSPOTONDEMAND
Guangzhou (CN) / cn-guangzhou
0.2398 USD/h 1.09 USD/h
Beijing (CN) / cn-beijing
- 1.09 USD/h
Hangzhou (CN) / cn-hangzhou
- 1.09 USD/h
Shanghai (CN) / cn-shanghai
- 1.09 USD/h
Singapore (SG) / ap-southeast-1
- 1.632 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
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
      8 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated AMD EPYC processor instance offering balanced compute and memory resources for general-purpose workloads without local storage.

      General Purpose

      Alibaba Cloud ecs.g7a-nps1.8xlarge is a general-purpose server instance featuring 32 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, this KVM-hypervised instance offers a balanced 4.0 GB of memory per core but lacks local storage and GPU accelerators. Benchmark data indicates strong single-core CPU performance and a strong Passmark memory score, though multi-core execution and database operations remain average. Notably, uncached large-block memory write bandwidth is weak, representing a potential bottleneck for write-heavy memory operations. With an 8 Gbps baseline network bandwidth, this instance is designed for workloads such as static web serving, software compilation, and standard database operations that require dedicated compute resources without local storage dependencies.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.1Score
      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) 2,319,186 ops/sec 1,918,343 ops/sec 1.2 50.00% 50.00% +9.50%
      Redis RPS (pipeline=16, SET) 17,352,112 ops/sec 11,704,734 ops/sec 1.4 20.00% 20.00% +7.00%
      PassMark Memory Mark (composite) 2,867 2,415 1.2 10.00% 10.00% +1.80%
      Memory bandwidth (read, 16 MB ~ L3) 43,932 MB/sec 108,466 MB/sec 0.4 10.00% 10.00% -8.80%
      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: 1,531

      Geekbench Multi-Core

      Score: 11,247

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 36,057
      Compression
      		 502,302
      Encryption
      		 34,040
      Extended Instructions
      		 29,890
      Floating Point Maths
      		 72,763
      Integer Maths
      		 132,945
      Physics
      		 2,147
      Prime Numbers
      		 163
      Single Threaded
      		 2,386
      String Sorting
      		 58,112

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,867
      Database Operations
      		 10,997
      Memory Latency
      		 55
      Memory Read Cached
      		 23,616
      Memory Read Uncached
      		 18,052
      Memory Write
      		 16,060

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 205.39 165.76 0.81×
      bitops
      		 140,951 2,596,867 18.42×
      branch
      		 164,092 4,807,757 29.30×
      funccall
      		 539.51 11,216 20.79×
      funcret
      		 17,087 348,559 20.40×
      hash
      		 136,250 3,326,423 24.41×
      intmath
      		 58,041 1,258,098 21.68×
      nop
      		 282,751 4,560,472 16.13×
      prime
      		 392,191 7,722,292 19.69×
      rotate
      		 77,136 1,235,033 16.01×
      str
      		 840,920 16,379,437 19.48×
      wcs
      		 571,594 10,248,219 17.93×
      CryptographySingleMultiScaling
      crypt
      		 3,207 48,915 15.25×
      CompressionSingleMultiScaling
      jpeg
      		 687.2 15,669 22.80×
      zlib
      		 51.19 1,434 28.02×
      HypervisorSingleMultiScaling
      clock
      		 21,551 260,623 12.09×
      clone
      		 294.27 3,985 13.54×
      context
      		 3,132 83,953 26.81×
      cpu-sched
      		 62.71 2,083 33.21×
      eventfd
      		 64,262 1,269,226 19.75×
      fault
      		 7,900 171,346 21.69×
      fork
      		 3,558 62,065 17.44×
      getrandom
      		 45,251 918,384 20.30×
      hrtimers
      		 126,486 3,037,787 24.02×
      mprotect
      		 741,808 5,033,078 6.78×
      mtx
      		 46,928,810 1,525,230,749 32.50×
      munmap
      		 2,430 46,705 19.22×
      null
      		 406,564 10,398,993 25.58×
      pipe
      		 1,528,723 11,676,618 7.64×
      priv-instr
      		 410,476 10,054,331 24.49×
      resched
      		 6,949,345 3,347,274 0.48×
      switch
      		 178,197 3,385,513 19.00×
      timermix
      		 252,577 5,929,952 23.48×
      tlb-shootdown
      		 14,474 91,401 6.31×
      tsc
      		 667,878 20,244,467 30.31×
      usersyscall
      		 298,056 7,341,752 24.63×
      vdso
      		 76,041,392 1,954,183,421 25.70×
      vfork
      		 21,194 122,474 5.78×
      x86syscall
      		 4,797,734 123,884,512 25.82×
      yield
      		 20,747,901 19,175,088 0.92×
      zero
      		 2,809,908 66,901,424 23.81×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 13,993 230,303 16.46×
      expmath
      		 2,268 59,390 26.18×
      fma
      		 779,478 19,682,849 25.25×
      fp
      		 226.86 5,333 23.51×
      fractal
      		 6.8 178.64 26.27×
      hyperbolic
      		 3,280 79,722 24.30×
      logmath
      		 3,864 88,771 22.98×
      matrix
      		 2,717 63,943 23.53×
      matrix-3d
      		 160.81 1,485 9.24×
      monte-carlo
      		 172.63 4,422 25.62×
      mpfr
      		 1,396 27,347 19.59×
      powmath
      		 1,061 28,910 27.25×
      trig
      		 1,487 36,623 24.62×
      veccmp
      		 15,975 336,828 21.09×
      vecfp
      		 1,478 33,714 22.81×
      vecmath
      		 3,412 88,335 25.89×
      vecshuf
      		 532.58 9,886 18.56×
      vecwide
      		 23,654 480,057 20.29×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 8.6 146.2 17.00×
      bsearch
      		 262.44 5,565 21.20×
      bubblesort
      		 0.8 17.8 22.25×
      fibsearch
      		 320.75 6,123 19.09×
      heapsort
      		 9 178.2 19.80×
      hsearch
      		 7,460 138,334 18.54×
      insertionsort
      		 11.6 185.4 15.98×
      malloc
      		 3,037,856 52,548,918 17.30×
      mcontend
      		 138.08 5,440 39.40×
      mergesort
      		 27.2 638.39 23.47×
      qsort
      		 18.6 409.59 22.02×
      skiplist
      		 6,207 151,510 24.41×
      tree
      		 1.6 19.18 11.99×
      MemorySingleMultiScaling
      cache
      		 645,154 1,102,883 1.71×
      cachehammer
      		 309,861 5,955,218 19.22×
      cacheline
      		 41.38 1,323 31.97×
      l1cache
      		 162.24 2,508 15.46×
      memcpy
      		 365.71 5,587 15.28×
      memrate
      		 2.54 6.03 2.37×
      memthrash
      		 168.19 376.09 2.24×
      ptr-chase
      		 40,637,177 207,138,468 5.10×
      spinmem
      		 358.39 2,241 6.25×
      stream
      		 97 5,042 51.97×
      vm
      		 59,086 295,437 5.00×

      Stress-ng Raw Scores

      Stress-ng Relative Multicore Performance

      Static Web Server

      Redis

      Alternatives

      Servers of the Same Family

      INSTANCEvCPUsMEMORYAccelerators
      ecs.g7a.large 28 GiB0
      ecs.g7a.xlarge 416 GiB0
      ecs.g7a.2xlarge 832 GiB0
      ecs.g7a.4xlarge 1664 GiB0
      ecs.g7a.8xlarge 32128 GiB0
      ecs.g7a-nps1.16xlarge 64256 GiB0
      ecs.g7a.16xlarge 64256 GiB0

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      ecs.g7a-nps1.8xlarge FAQs