ecs.c8ae.2xlarge by Alibaba Cloud

ecs.c8ae.2xlarge is a ecs.c8ae family (8 vCPUs, 16 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 8 vCPUs, 16 GiB of memory and 0 GB of storage. The pricing starts at 0.0545 USD per hour.
8 vCPU
16 GiB Memory
Spare SCore
12,466
(All-cores)
3,115
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.c8ae.2xlarge
Description
ecs.c8ae family (8 vCPUs, 16 GiB RAM, 0 GB storage)
Family
ecs.c8ae
Hw Virt
Average Time To Start
15
Status
active
Observed At
2026-10-28T07:38:05.804897

Availability

REGION / IDSPOTONDEMAND
Beijing (CN) / cn-beijing
0.07765 USD/h 0.2724 USD/h
Shanghai (CN) / cn-shanghai
0.0545 USD/h 0.2724 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.2724 USD/h

Processor

vCPUs
8
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
4
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
128 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
128 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
4 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, 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
4
Scalability
50

System Resources and Accelerators

MEMORY
Memory Amount
16 GiB
Memory Amount Actual
16 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
      6 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A compute-optimized instance featuring dedicated AMD EPYC processors with top-tier single-core performance and a balanced 1:2 memory-to-CPU ratio.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.c8ae.2xlarge is an x86_64 compute-optimized server featuring 8 dedicated vCPUs from 4 physical AMD EPYC 9T34 cores running at 3.4 GHz. It is configured with 16.0 GB of RAM, providing a 2.0 GB per core ratio, and does not include local storage or GPU accelerators. Operating on a KVM hypervisor, the instance delivers a baseline network bandwidth of 6 Gbps. Benchmark data highlights top-tier single-core performance, with stress-ng single-core results in the top 10%, while multi-core and memory bandwidth metrics remain in the average tier. This resource profile presents a tradeoff, favoring single-threaded compute efficiency over memory capacity. The instance is suited for compute-bound workloads such as web serving, software compilation, and database operations that do not require local storage.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.52Score
      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) 734,758 ops/sec 1,919,289 ops/sec 0.38 50.00% 50.00% -38.00%
      Redis RPS (pipeline=16, SET) 6,066,160 ops/sec 11,728,058 ops/sec 0.51 20.00% 20.00% -13.00%
      PassMark Memory Mark (composite) 2,385 2,416 1 10.00% 10.00% 0.00%
      Memory bandwidth (read, 16 MB ~ L3) 60,263 MB/sec 108,466 MB/sec 0.55 10.00% 10.00% -5.80%
      PassMark single-thread CPU 2,904 Mops/s 2,365 Mops/s 1.2 10.00% 10.00% +1.80%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 2,005

      Geekbench Multi-Core

      Score: 7,872

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 14,618
      Compression
      		 160,230
      Encryption
      		 9,725
      Extended Instructions
      		 10,954
      Floating Point Maths
      		 21,508
      Integer Maths
      		 38,318
      Physics
      		 1,539
      Prime Numbers
      		 92
      Single Threaded
      		 2,904
      String Sorting
      		 23,156

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,385
      Database Operations
      		 3,958
      Memory Latency
      		 73
      Memory Read Cached
      		 27,806
      Memory Read Uncached
      		 26,383
      Memory Write
      		 25,850

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 620.06 374.27 0.60×
      bitops
      		 162,582 782,490 4.81×
      branch
      		 215,126 1,541,201 7.16×
      funccall
      		 625.91 3,542 5.66×
      funcret
      		 21,229 123,455 5.82×
      hash
      		 165,473 979,962 5.92×
      intmath
      		 66,672 357,380 5.36×
      nop
      		 634,843 2,574,868 4.06×
      prime
      		 486,796 2,565,628 5.27×
      rotate
      		 89,120 357,755 4.01×
      str
      		 1,073,722 5,491,423 5.11×
      wcs
      		 694,436 3,311,211 4.77×
      CryptographySingleMultiScaling
      crypt
      		 3,794 16,328 4.30×
      CompressionSingleMultiScaling
      jpeg
      		 885.17 4,922 5.56×
      zlib
      		 55.28 414.01 7.49×
      HypervisorSingleMultiScaling
      clock
      		 19,043 110,610 5.81×
      clone
      		 460.99 1,595 3.46×
      context
      		 1,800 10,874 6.04×
      cpu-sched
      		 66.69 537.15 8.05×
      eventfd
      		 73,017 434,774 5.95×
      fault
      		 11,034 67,454 6.11×
      fork
      		 4,897 28,618 5.84×
      getrandom
      		 51,573 271,758 5.27×
      hrtimers
      		 513,679 978,038 1.90×
      mprotect
      		 1,037,070 1,206,443 1.16×
      mtx
      		 38,214,001 574,224,984 15.03×
      munmap
      		 3,341 18,775 5.62×
      null
      		 195,551 1,126,745 5.76×
      pipe
      		 969,334 2,472,702 2.55×
      priv-instr
      		 333,392 2,047,980 6.14×
      resched
      		 1,787,125 897,418 0.50×
      switch
      		 184,920 957,866 5.18×
      timermix
      		 184,765 1,228,683 6.65×
      tlb-shootdown
      		 21,800 41,295 1.89×
      tsc
      		 794,642 6,211,766 7.82×
      usersyscall
      		 241,361 1,472,026 6.10×
      vdso
      		 93,681,378 605,863,799 6.47×
      vfork
      		 42,433 164,222 3.87×
      x86syscall
      		 2,233,199 12,740,776 5.71×
      yield
      		 3,727,345 3,829,102 1.03×
      zero
      		 1,694,867 10,075,051 5.94×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 16,608 71,188 4.29×
      expmath
      		 2,707 18,000 6.65×
      fma
      		 929,183 6,119,767 6.59×
      fp
      		 254.4 1,580 6.21×
      fractal
      		 7.6 51.01 6.71×
      hyperbolic
      		 3,868 23,104 5.97×
      logmath
      		 4,615 26,402 5.72×
      matrix
      		 4,965 23,481 4.73×
      matrix-3d
      		 956.15 2,612 2.73×
      monte-carlo
      		 107.45 603.75 5.62×
      mpfr
      		 1,717 8,799 5.13×
      powmath
      		 1,333 8,732 6.55×
      trig
      		 1,896 11,562 6.10×
      veccmp
      		 19,285 100,610 5.22×
      vecfp
      		 1,829 11,364 6.21×
      vecmath
      		 4,074 26,289 6.45×
      vecshuf
      		 646.89 3,186 4.92×
      vecwide
      		 28,947 154,821 5.35×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 10.4 48 4.62×
      bsearch
      		 309.84 1,726 5.57×
      bubblesort
      		 0.8 6 7.50×
      fibsearch
      		 384.32 1,836 4.78×
      heapsort
      		 11 60.8 5.53×
      hsearch
      		 10,329 48,385 4.68×
      insertionsort
      		 13.2 52.8 4.00×
      malloc
      		 3,922,344 27,596,165 7.04×
      mcontend
      		 287.73 1,626 5.65×
      mergesort
      		 34.4 204.99 5.96×
      qsort
      		 22.2 126.4 5.69×
      skiplist
      		 7,121 46,023 6.46×
      tree
      		 2 9.6 4.80×
      MemorySingleMultiScaling
      cache
      		 900,930 1,657,962 1.84×
      cachehammer
      		 283,688 2,139,878 7.54×
      cacheline
      		 76.48 607.69 7.95×
      l1cache
      		 242.86 1,232 5.07×
      memcpy
      		 454.08 1,862 4.10×
      memrate
      		 3.9 5.39 1.38×
      memthrash
      		 181.65 432.41 2.38×
      ptr-chase
      		 46,038,671 77,175,893 1.68×
      spinmem
      		 296.99 353.93 1.19×
      stream
      		 138.23 1,678 12.14×
      vm
      		 72,663 291,530 4.01×

      Stress-ng Raw Scores

      Stress-ng Relative Multicore Performance

      Static Web Server

      Redis

      Alternatives

      Servers of the Same Family

      INSTANCEvCPUsMEMORYAccelerators
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      ecs.c8ae.xlarge 48 GiB0
      ecs.c8ae.4xlarge 1632 GiB0
      ecs.c8ae.8xlarge 3264 GiB0
      ecs.c8ae.16xlarge 64128 GiB0
      ecs.c8ae.32xlarge 128256 GiB0

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      ecs.c8ae.2xlarge FAQs