ecs.c8ae.8xlarge by Alibaba Cloud

ecs.c8ae.8xlarge is a ecs.c8ae 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 1.0898 USD per hour.
32 vCPU
64 GiB Memory
Spare SCore
49,847
(All-cores)
3,111
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.c8ae.8xlarge
Description
ecs.c8ae family (32 vCPUs, 64 GiB RAM, 0 GB storage)
Family
ecs.c8ae
Hw Virt
Average Time To Start
14
Status
active
Observed At
2026-10-29T06:18:51.982010

Availability

REGION / IDSPOTONDEMAND
Beijing (CN) / cn-beijing
- 1.0898 USD/h
Hangzhou (CN) / cn-hangzhou
- 1.0898 USD/h
Shanghai (CN) / cn-shanghai
- 1.0898 USD/h

Processor

vCPUs
32
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
16
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
512 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
512 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
16 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, 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
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
      20 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 and high-speed networking for demanding CPU-bound workloads.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.c8ae.8xlarge is a compute-optimized instance featuring 32 dedicated vCPUs and 64.0 GB of RAM, powered by an AMD EPYC 9T34 processor running at 3.4 GHz. Built on the x86_64 architecture and managed via KVM, this instance lacks local storage and GPUs but provides a 20 Gbps baseline network bandwidth. Its hardware supports advanced vector and cryptographic instructions, including AVX-512 and VAES. Benchmark results highlight strong single-core and multi-core performance, particularly in Geekbench tests, image processing, and CPU encryption. With a 1:2 vCPU-to-RAM ratio, it offers a cost-efficient profile for compute-heavy workloads. The instance is suited for image processing, text processing, cryptographic tasks, and web serving.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.5Score
      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) 2,961,066 ops/sec 1,919,289 ops/sec 1.6 50.00% 50.00% +26.00%
      Redis RPS (pipeline=16, SET) 22,699,864 ops/sec 11,728,058 ops/sec 1.9 20.00% 20.00% +14.00%
      PassMark Memory Mark (composite) 2,882 2,416 1.2 10.00% 10.00% +1.80%
      Memory bandwidth (read, 16 MB ~ L3) 106,326 MB/sec 108,466 MB/sec 1 10.00% 10.00% 0.00%
      PassMark single-thread CPU 2,924 Mops/s 2,365 Mops/s 1.2 10.00% 10.00% +1.80%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 2,019

      Geekbench Multi-Core

      Score: 16,728

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 47,466
      Compression
      		 625,520
      Encryption
      		 38,962
      Extended Instructions
      		 44,488
      Floating Point Maths
      		 86,130
      Integer Maths
      		 153,917
      Physics
      		 5,067
      Prime Numbers
      		 251
      Single Threaded
      		 2,924
      String Sorting
      		 92,217

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,882
      Database Operations
      		 15,725
      Memory Latency
      		 71
      Memory Read Cached
      		 27,960
      Memory Read Uncached
      		 26,582
      Memory Write
      		 26,156

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 374.87 218.08 0.58×
      bitops
      		 161,524 3,136,184 19.42×
      branch
      		 215,319 6,169,981 28.66×
      funccall
      		 625.57 13,879 22.19×
      funcret
      		 21,143 506,773 23.97×
      hash
      		 165,075 3,960,555 23.99×
      intmath
      		 67,570 1,453,066 21.50×
      nop
      		 634,443 10,311,143 16.25×
      prime
      		 485,030 10,228,846 21.09×
      rotate
      		 89,196 1,427,870 16.01×
      str
      		 1,071,805 22,466,182 20.96×
      wcs
      		 692,388 13,396,352 19.35×
      CryptographySingleMultiScaling
      crypt
      		 3,789 63,513 16.76×
      CompressionSingleMultiScaling
      jpeg
      		 837.57 19,545 23.33×
      zlib
      		 69.17 1,733 25.05×
      HypervisorSingleMultiScaling
      clock
      		 18,511 257,632 13.92×
      clone
      		 327.91 5,212 15.89×
      context
      		 1,798 43,456 24.17×
      cpu-sched
      		 66.24 2,011 30.36×
      eventfd
      		 73,586 1,721,529 23.39×
      fault
      		 11,034 219,766 19.92×
      fork
      		 3,840 67,202 17.50×
      getrandom
      		 51,174 1,079,183 21.09×
      hrtimers
      		 430,743 3,338,533 7.75×
      mprotect
      		 723,807 4,593,264 6.35×
      mtx
      		 36,551,214 1,815,478,666 49.67×
      munmap
      		 2,815 49,856 17.71×
      null
      		 194,499 4,500,707 23.14×
      pipe
      		 974,159 10,525,287 10.80×
      priv-instr
      		 333,256 7,963,963 23.90×
      resched
      		 5,834,867 3,620,521 0.62×
      switch
      		 191,266 3,808,406 19.91×
      timermix
      		 182,335 4,927,009 27.02×
      tlb-shootdown
      		 15,086 112,862 7.48×
      tsc
      		 793,686 24,754,904 31.19×
      usersyscall
      		 240,976 5,768,778 23.94×
      vdso
      		 93,601,438 2,427,006,147 25.93×
      vfork
      		 28,500 166,559 5.84×
      x86syscall
      		 2,230,961 50,906,045 22.82×
      yield
      		 18,315,635 17,499,352 0.96×
      zero
      		 1,699,309 40,265,239 23.70×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 16,580 282,005 17.01×
      expmath
      		 2,893 70,493 24.37×
      fma
      		 930,619 23,941,549 25.73×
      fp
      		 254.4 6,179 24.29×
      fractal
      		 7.6 204.29 26.88×
      hyperbolic
      		 3,605 92,829 25.75×
      logmath
      		 4,602 105,228 22.86×
      matrix
      		 4,988 93,880 18.82×
      matrix-3d
      		 377.58 5,117 13.55×
      monte-carlo
      		 107.25 2,415 22.52×
      mpfr
      		 1,706 34,881 20.44×
      powmath
      		 1,363 35,330 25.91×
      trig
      		 1,894 46,342 24.47×
      veccmp
      		 19,224 402,976 20.96×
      vecfp
      		 1,831 43,322 23.66×
      vecmath
      		 4,070 105,639 25.95×
      vecshuf
      		 645.46 12,771 19.79×
      vecwide
      		 28,915 620,216 21.45×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 10.4 191.8 18.44×
      bsearch
      		 309.27 6,960 22.50×
      bubblesort
      		 0.8 24 30.00×
      fibsearch
      		 384.62 7,553 19.64×
      heapsort
      		 11 243.39 22.13×
      hsearch
      		 11,275 198,885 17.64×
      insertionsort
      		 13 209 16.08×
      malloc
      		 3,893,815 56,300,281 14.46×
      mcontend
      		 125.65 5,666 45.09×
      mergesort
      		 34.8 797.99 22.93×
      qsort
      		 22.2 509.19 22.94×
      skiplist
      		 7,123 183,938 25.82×
      tree
      		 2 25.99 12.99×
      MemorySingleMultiScaling
      cache
      		 888,543 1,602,779 1.80×
      cachehammer
      		 284,048 7,660,799 26.97×
      cacheline
      		 56.15 2,463 43.86×
      l1cache
      		 262.37 4,648 17.72×
      memcpy
      		 452.58 7,429 16.42×
      memrate
      		 3.91 12.11 3.10×
      memthrash
      		 162.92 1,250 7.67×
      ptr-chase
      		 45,829,628 262,256,235 5.72×
      spinmem
      		 234.99 1,909 8.12×
      stream
      		 137.45 13,482 98.09×
      vm
      		 69,581 295,944 4.25×

      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.4xlarge 1632 GiB0
      ecs.c8ae.16xlarge 64128 GiB0
      ecs.c8ae.32xlarge 128256 GiB0

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      ecs.c8ae.8xlarge FAQs