ecs.g7a.16xlarge by Alibaba Cloud

ecs.g7a.16xlarge is a ecs.g7a family (64 vCPUs, 256 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 64 vCPUs, 256 GiB of memory and 0 GB of storage. The pricing starts at 0.3726 USD per hour.
64 vCPU
256 GiB Memory
Spare SCore
86,178
(All-cores)
2,696
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.g7a.16xlarge
Description
ecs.g7a family (64 vCPUs, 256 GiB RAM, 0 GB storage)
Family
ecs.g7a
Hw Virt
Status
active
Observed At
2026-10-16T13:33:29.227162

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
0.3726 USD/h 1.961 USD/h
Chengdu (CN) / cn-chengdu
0.414 USD/h 2.179 USD/h
Beijing (CN) / cn-beijing
0.4794 USD/h 2.179 USD/h
Guangzhou (CN) / cn-guangzhou
- 2.179 USD/h
Hangzhou (CN) / cn-hangzhou
- 2.179 USD/h
Shanghai (CN) / cn-shanghai
- 2.179 USD/h
Shenzhen (CN) / cn-shenzhen
- 2.179 USD/h
Frankfurt (DE) / eu-central-1
0.8133 USD/h 3.128 USD/h
Jakarta (ID) / ap-southeast-5
0.65805 USD/h 3.21 USD/h
Tokyo (JP) / ap-northeast-1
0.66915 USD/h 3.264 USD/h
Hong Kong (HK) / cn-hongkong
0.7181 USD/h 3.264 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
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
      16 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated AMD EPYC platform delivering balanced compute and memory resources for enterprise applications and multi-threaded workloads.

      General PurposeCompute Optimized

      Alibaba Cloud ecs.g7a.16xlarge is a general-purpose instance featuring 64 dedicated vCPUs and 256.0 GB of RAM, powered by an AMD EPYC 7T83 processor running at 2.55 GHz. Built on the x86_64 architecture, it delivers strong multi-core CPU performance, ranking in the top 25% for software compilation, ray tracing, and database operations. The instance lacks local storage and dedicated GPUs, relying on network-attached storage and a 16 Gbps baseline network bandwidth. While cached memory bandwidth is highly competitive, uncached large-block memory operations perform at average levels. This resource configuration provides balanced compute-to-memory density, making it a viable option for enterprise workloads, multi-threaded applications, and database hosting.

      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) 4,690,121 ops/sec 1,919,289 ops/sec 2.5 50.00% 50.00% +58.00%
      Redis RPS (pipeline=16, SET) 35,106,623 ops/sec 11,728,058 ops/sec 2.9 20.00% 20.00% +24.00%
      PassMark Memory Mark (composite) 2,933 2,416 1.2 10.00% 10.00% +1.80%
      Memory bandwidth (read, 16 MB ~ L3) 86,737 MB/sec 108,466 MB/sec 0.79 10.00% 10.00% -2.30%
      PassMark single-thread CPU 2,382 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,536

      Geekbench Multi-Core

      Score: 14,330

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      59,280
      Compression
      998,117
      Encryption
      68,137
      Extended Instructions
      58,172
      Floating Point Maths
      145,317
      Integer Maths
      265,419
      Physics
      4,225
      Prime Numbers
      324
      Single Threaded
      2,382
      String Sorting
      113,017

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      2,933
      Database Operations
      22,048
      Memory Latency
      57
      Memory Read Cached
      23,611
      Memory Read Uncached
      17,706
      Memory Write
      16,081

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      474.15 149.46 0.32×
      bitops
      141,006 5,222,508 37.04×
      branch
      164,147 9,647,923 58.78×
      funccall
      540.79 22,399 41.42×
      funcret
      16,807 697,351 41.49×
      hash
      136,396 6,663,817 48.86×
      intmath
      58,073 2,519,104 43.38×
      nop
      282,932 9,124,715 32.25×
      prime
      391,485 15,495,417 39.58×
      rotate
      77,072 2,470,965 32.06×
      str
      789,245 33,583,695 42.55×
      wcs
      576,402 20,799,872 36.09×
      CryptographySingleMultiScaling
      crypt
      3,140 103,205 32.87×
      CompressionSingleMultiScaling
      jpeg
      683.5 30,009 43.91×
      zlib
      38.2 2,860 74.87×
      HypervisorSingleMultiScaling
      clock
      20,257 240,078 11.85×
      clone
      265.59 6,006 22.61×
      context
      3,106 166,071 53.48×
      cpu-sched
      63.36 3,968 62.63×
      eventfd
      55,574 3,016,190 54.27×
      fault
      7,814 133,652 17.10×
      fork
      3,376 67,356 19.95×
      getrandom
      45,163 1,832,364 40.57×
      hrtimers
      348,301 6,503,967 18.67×
      mprotect
      619,156 9,902,541 15.99×
      mtx
      44,101,266 3,277,316,896 74.31×
      munmap
      2,374 68,098 28.68×
      null
      406,708 20,806,742 51.16×
      pipe
      1,513,484 23,250,023 15.36×
      priv-instr
      409,437 18,314,495 44.73×
      resched
      7,552,335 5,879,103 0.78×
      switch
      129,825 6,332,224 48.78×
      timermix
      252,579 11,934,837 47.25×
      tlb-shootdown
      12,722 119,978 9.43×
      tsc
      667,972 41,144,072 61.60×
      usersyscall
      294,716 14,294,399 48.50×
      vdso
      77,210,675 4,186,957,989 54.23×
      vfork
      20,050 95,238 4.75×
      x86syscall
      4,801,923 246,343,081 51.30×
      yield
      36,891,964 37,861,826 1.03×
      zero
      2,786,972 133,555,582 47.92×
      CPU float/SIMDSingleMultiScaling
      eigen
      14,022 461,018 32.88×
      expmath
      2,067 122,305 59.16×
      fma
      779,845 39,425,115 50.56×
      fp
      227.7 10,531 46.25×
      fractal
      6.8 356.42 52.41×
      hyperbolic
      3,289 160,213 48.71×
      logmath
      3,868 178,092 46.04×
      matrix
      2,690 128,286 47.69×
      matrix-3d
      819.15 2,976 3.63×
      monte-carlo
      182.7 8,956 49.02×
      mpfr
      1,400 54,595 39.00×
      powmath
      1,180 62,425 52.89×
      trig
      1,492 73,702 49.41×
      veccmp
      15,971 673,829 42.19×
      vecfp
      1,477 65,979 44.67×
      vecmath
      3,416 176,697 51.72×
      vecshuf
      533.12 19,888 37.30×
      vecwide
      23,632 963,992 40.79×
      AlgorithmsSingleMultiScaling
      bitonicsort
      8.6 294.39 34.23×
      bsearch
      262.5 11,069 42.17×
      bubblesort
      0.8 38.4 48.00×
      fibsearch
      320.07 12,256 38.29×
      heapsort
      9.4 369.99 39.36×
      hsearch
      7,542 280,455 37.19×
      insertionsort
      11.6 367.8 31.71×
      malloc
      3,118,721 85,049,506 27.27×
      mcontend
      106.43 10,109 94.98×
      mergesort
      27.4 1,267 46.25×
      qsort
      18.6 802.97 43.17×
      skiplist
      6,147 303,583 49.39×
      tree
      1.6 38.36 23.97×
      MemorySingleMultiScaling
      cache
      517,899 1,177,415 2.27×
      cachehammer
      294,885 9,774,762 33.15×
      cacheline
      32.78 2,108 64.31×
      l1cache
      159.08 4,779 30.04×
      memcpy
      365.87 11,183 30.57×
      memrate
      2.54 11.96 4.71×
      memthrash
      206.39 753.9 3.65×
      ptr-chase
      39,653,307 414,815,826 10.46×
      spinmem
      353.18 4,846 13.72×
      stream
      49.69 10,020 201.65×
      vm
      57,892 300,627 5.19×

      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.g7a.16xlarge FAQs