ecs.c8ae.4xlarge by Alibaba Cloud

ecs.c8ae.4xlarge is a ecs.c8ae family (16 vCPUs, 32 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 16 vCPUs, 32 GiB of memory and 0 GB of storage. The pricing starts at 0.3433 USD per hour.
16 vCPU
32 GiB Memory
Spare SCore
24,940
(All-cores)
3,115
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.c8ae.4xlarge
Description
ecs.c8ae family (16 vCPUs, 32 GiB RAM, 0 GB storage)
Family
ecs.c8ae
Hw Virt
Average Time To Start
14.5
Status
active
Observed At
2026-10-28T23:18:20.667233

Availability

REGION / IDSPOTONDEMAND
Hangzhou (CN) / cn-hangzhou
0.3433 USD/h 0.5449 USD/h
Beijing (CN) / cn-beijing
- 0.5449 USD/h
Shanghai (CN) / cn-shanghai
- 0.5449 USD/h

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
8
CPU Speed
3.4 GHz
CPU Architecture
x86_64
CPU Manufacturer
AMD
CPU Family
EPYC
CPU Model
9T34
CPU L1D Cache
32 KiB
CPU L1D Cache Total
256 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
256 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
8 MiB
CPU L3 Cache
32 MiB
CPU L3 Cache Total
32 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, amd_lbr_v2, 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, extapic, cr8_legacy, abm, sse4a, misalignsse, 3dnowprefetch, osvw, ibs, topoext, perfctr_core, perfctr_llc, mwaitx, ssbd, perfmon_v2, ibrs, ibpb, stibp, ibrs_enhanced, vmmcall, fsgsbase, tsc_adjust, bmi1, avx2, smep, bmi2, erms, invpcid, avx512f, avx512dq, rdseed, adx, smap, avx512ifma, clflushopt, clwb, avx512cd, sha_ni, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, avx512_bf16, clzero, irperf, xsaveerptr, rdpru, wbnoinvd, arat, avx512vbmi, umip, pku, ospke, avx512_vbmi2, gfni, vaes, vpclmulqdq, avx512_vnni, avx512_bitalg, avx512_vpopcntdq, rdpid, fsrm
Ecpus
8
Scalability
50

System Resources and Accelerators

MEMORY
Memory Amount
32 GiB
Memory Amount Actual
32 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
      12 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A compute-optimized virtual server featuring dedicated AMD EPYC processors, delivering top-tier single-core performance for compute-intensive workloads.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.c8ae.4xlarge is an x86_64 compute-optimized server instance featuring 16 dedicated vCPUs and 32.0 GB of RAM, powered by an AMD EPYC 9T34 processor running at 3.4 GHz. It operates on the KVM hypervisor and provides a baseline network bandwidth of 12 Gbps, with no local storage or GPU accelerators included. Performance benchmarks show top-tier single-core CPU capabilities, ranking in the top 10% on stress-ng, and strong Geekbench single-core and text processing results in the top 25%. Multi-core compute, memory bandwidth, and database operations perform in the average tier. This hardware profile is qualitatively cost-effective for compute-bound tasks that benefit from high single-thread performance without requiring high memory-to-vCPU ratios. It is suited for workloads such as web serving, software compilation, and text processing.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.84Score
      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) 1,489,856 ops/sec 1,919,289 ops/sec 0.79 50.00% 50.00% -11.00%
      Redis RPS (pipeline=16, SET) 11,472,976 ops/sec 11,728,058 ops/sec 0.92 20.00% 20.00% -1.70%
      PassMark Memory Mark (composite) 2,705 2,416 1.1 10.00% 10.00% +0.96%
      Memory bandwidth (read, 16 MB ~ L3) 55,266 MB/sec 108,466 MB/sec 0.5 10.00% 10.00% -6.70%
      PassMark single-thread CPU 2,929 Mops/s 2,365 Mops/s 1.2 10.00% 10.00% +1.80%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 2,028

      Geekbench Multi-Core

      Score: 12,205

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 26,779
      Compression
      		 313,329
      Encryption
      		 19,516
      Extended Instructions
      		 22,203
      Floating Point Maths
      		 43,080
      Integer Maths
      		 77,008
      Physics
      		 2,628
      Prime Numbers
      		 127
      Single Threaded
      		 2,929
      String Sorting
      		 46,224

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,705
      Database Operations
      		 8,088
      Memory Latency
      		 71
      Memory Read Cached
      		 27,821
      Memory Read Uncached
      		 26,498
      Memory Write
      		 25,990

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 545.34 327.12 0.60×
      bitops
      		 162,640 1,567,622 9.64×
      branch
      		 215,408 3,086,728 14.33×
      funccall
      		 624.41 6,981 11.18×
      funcret
      		 21,636 255,127 11.79×
      hash
      		 165,216 1,987,734 12.03×
      intmath
      		 68,020 727,842 10.70×
      nop
      		 635,091 5,155,916 8.12×
      prime
      		 487,512 5,157,659 10.58×
      rotate
      		 89,237 716,286 8.03×
      str
      		 1,081,213 10,892,151 10.07×
      wcs
      		 712,539 6,607,664 9.27×
      CryptographySingleMultiScaling
      crypt
      		 3,765 32,812 8.71×
      CompressionSingleMultiScaling
      jpeg
      		 842.02 9,368 11.13×
      zlib
      		 73.75 862.89 11.70×
      HypervisorSingleMultiScaling
      clock
      		 18,835 211,490 11.23×
      clone
      		 455.95 3,079 6.75×
      context
      		 1,800 21,756 12.09×
      cpu-sched
      		 69.7 1,048 15.04×
      eventfd
      		 73,055 869,571 11.90×
      fault
      		 10,931 131,889 12.07×
      fork
      		 4,881 50,009 10.24×
      getrandom
      		 50,675 539,492 10.65×
      hrtimers
      		 416,866 1,663,618 3.99×
      mprotect
      		 1,247,589 2,408,252 1.93×
      mtx
      		 39,544,594 1,000,966,746 25.31×
      munmap
      		 3,299 36,177 10.97×
      null
      		 195,475 2,257,745 11.55×
      pipe
      		 979,660 5,390,789 5.50×
      priv-instr
      		 332,018 4,104,747 12.36×
      resched
      		 3,835,930 1,659,360 0.43×
      switch
      		 192,864 1,926,282 9.99×
      timermix
      		 185,196 2,486,808 13.43×
      tlb-shootdown
      		 22,219 69,381 3.12×
      tsc
      		 794,483 12,437,694 15.66×
      usersyscall
      		 240,902 2,962,227 12.30×
      vdso
      		 93,677,083 1,213,959,998 12.96×
      vfork
      		 41,074 275,439 6.71×
      x86syscall
      		 2,234,005 25,495,238 11.41×
      yield
      		 7,768,358 8,031,456 1.03×
      zero
      		 1,697,331 20,137,647 11.86×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 16,719 141,924 8.49×
      expmath
      		 2,466 33,107 13.42×
      fma
      		 931,015 12,247,821 13.16×
      fp
      		 254.4 3,106 12.21×
      fractal
      		 7.6 102.61 13.50×
      hyperbolic
      		 3,866 46,341 11.99×
      logmath
      		 4,615 52,961 11.48×
      matrix
      		 4,973 46,661 9.38×
      matrix-3d
      		 918.49 2,612 2.84×
      monte-carlo
      		 107.27 1,209 11.27×
      mpfr
      		 1,708 17,407 10.19×
      powmath
      		 1,332 17,434 13.08×
      trig
      		 1,893 23,208 12.26×
      veccmp
      		 19,230 201,439 10.48×
      vecfp
      		 1,831 22,195 12.12×
      vecmath
      		 4,074 52,808 12.96×
      vecshuf
      		 646.79 6,385 9.87×
      vecwide
      		 28,953 310,566 10.73×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 10.4 96 9.23×
      bsearch
      		 309.82 3,474 11.21×
      bubblesort
      		 1 12.4 12.40×
      fibsearch
      		 384.55 3,738 9.72×
      heapsort
      		 11.2 122 10.89×
      hsearch
      		 11,476 99,952 8.71×
      insertionsort
      		 13.2 106 8.03×
      malloc
      		 3,858,868 40,873,933 10.59×
      mcontend
      		 254.68 3,251 12.77×
      mergesort
      		 34.2 409.39 11.97×
      qsort
      		 22 255.39 11.61×
      skiplist
      		 7,130 92,370 12.95×
      tree
      		 2 12.79 6.39×
      MemorySingleMultiScaling
      cache
      		 906,526 2,594,887 2.86×
      cachehammer
      		 290,218 4,217,305 14.53×
      cacheline
      		 90.53 1,327 14.66×
      l1cache
      		 269.44 2,386 8.86×
      memcpy
      		 453.36 3,722 8.21×
      memrate
      		 3.9 6.1 1.56×
      memthrash
      		 206.38 681.88 3.30×
      ptr-chase
      		 45,359,271 133,746,566 2.95×
      spinmem
      		 287.79 970.83 3.37×
      stream
      		 138.16 3,359 24.31×
      vm
      		 58,594 293,226 5.00×

      Stress-ng Raw Scores

      Stress-ng Relative Multicore Performance

      Static Web Server

      Redis

      Alternatives

      Servers of the Same Family

      INSTANCEvCPUsMEMORYAccelerators
      ecs.c8ae.large 24 GiB0
      ecs.c8ae.xlarge 48 GiB0
      ecs.c8ae.2xlarge 816 GiB0
      ecs.c8ae.8xlarge 3264 GiB0
      ecs.c8ae.16xlarge 64128 GiB0
      ecs.c8ae.32xlarge 128256 GiB0

      Similar Servers

      INSTANCEVENDORvCPUsMEMORYAccelerators

      ecs.c8ae.4xlarge FAQs