ecs.c8a.8xlarge by Alibaba Cloud

ecs.c8a.8xlarge is a ecs.c8a 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 0.1822 USD per hour.
32 vCPU
64 GiB Memory
Spare SCore
49,187
(All-cores)
3,072
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.c8a.8xlarge
Description
ecs.c8a family (32 vCPUs, 64 GiB RAM, 0 GB storage)
Family
ecs.c8a
Hw Virt
Average Time To Start
11
Status
active
Observed At
2026-10-16T13:33:29.238025

Availability

REGION / IDSPOTONDEMAND
Shenzhen (CN) / cn-shenzhen
0.1822 USD/h 0.959 USD/h

Processor

vCPUs
32
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
16
CPU Speed
2.7 GHz
CPU Architecture
x86_64
CPU Manufacturer
AMD
CPU Family
EPYC
CPU Model
9T24
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
      10 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 strong single-core performance for compute-heavy workloads.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.c8a.8xlarge is a compute-optimized virtual machine instance featuring 32 dedicated vCPUs and 64.0 GB of memory, powered by an AMD EPYC 9T24 processor running at 2.7 GHz on the x86_64 architecture. Operating under the KVM hypervisor, this instance provides a 1:2 vCPU-to-RAM ratio and lacks local storage or GPU accelerators, relying on a 10 Gbps baseline network bandwidth. Benchmark data shows strong single-core and multi-core performance, particularly in cryptography, text processing, and multi-threaded decompression, while memory bandwidth and database operations perform at average levels. The instance is qualitatively cost-effective for compute-heavy tasks that do not demand high memory density or local storage. It is suited for web serving, image processing, and multi-threaded data decompression workloads.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.4Score
      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) 2,913,596 ops/sec 1,919,289 ops/sec 1.5 50.00% 50.00% +22.00%
      Redis RPS (pipeline=16, SET) 22,709,462 ops/sec 11,728,058 ops/sec 1.9 20.00% 20.00% +14.00%
      PassMark Memory Mark (composite) 2,845 2,416 1.2 10.00% 10.00% +1.80%
      Memory bandwidth (read, 16 MB ~ L3) 84,974 MB/sec 108,466 MB/sec 0.77 10.00% 10.00% -2.60%
      PassMark single-thread CPU 2,890 Mops/s 2,365 Mops/s 1.2 10.00% 10.00% +1.80%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 2,002

      Geekbench Multi-Core

      Score: 16,430

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 46,804
      Compression
      		 618,177
      Encryption
      		 38,480
      Extended Instructions
      		 43,897
      Floating Point Maths
      		 85,004
      Integer Maths
      		 151,852
      Physics
      		 4,974
      Prime Numbers
      		 249
      Single Threaded
      		 2,890
      String Sorting
      		 89,623

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,845
      Database Operations
      		 15,479
      Memory Latency
      		 71
      Memory Read Cached
      		 27,550
      Memory Read Uncached
      		 26,321
      Memory Write
      		 26,089

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 440.99 219.95 0.50×
      bitops
      		 159,653 3,090,880 19.36×
      branch
      		 212,412 6,000,929 28.25×
      funccall
      		 616.53 13,979 22.67×
      funcret
      		 20,859 501,596 24.05×
      hash
      		 162,897 3,881,735 23.83×
      intmath
      		 65,804 1,439,289 21.87×
      nop
      		 625,972 10,147,722 16.21×
      prime
      		 478,406 10,168,015 21.25×
      rotate
      		 88,102 1,407,913 15.98×
      str
      		 1,090,996 21,595,322 19.79×
      wcs
      		 684,110 13,107,651 19.16×
      CryptographySingleMultiScaling
      crypt
      		 3,742 63,379 16.94×
      CompressionSingleMultiScaling
      jpeg
      		 823.51 19,387 23.54×
      zlib
      		 64.09 1,646 25.68×
      HypervisorSingleMultiScaling
      clock
      		 18,148 257,430 14.19×
      clone
      		 327.43 5,153 15.74×
      context
      		 1,778 42,927 24.14×
      cpu-sched
      		 56.45 2,061 36.50×
      eventfd
      		 72,128 1,691,919 23.46×
      fault
      		 11,142 220,291 19.77×
      fork
      		 4,585 67,468 14.71×
      getrandom
      		 50,693 1,063,042 20.97×
      hrtimers
      		 215,664 3,190,137 14.79×
      mprotect
      		 748,874 4,565,008 6.10×
      mtx
      		 26,377,467 1,728,706,071 65.54×
      munmap
      		 3,116 49,737 15.96×
      null
      		 192,716 4,455,078 23.12×
      pipe
      		 928,850 10,994,492 11.84×
      priv-instr
      		 331,589 7,814,869 23.57×
      resched
      		 5,685,859 3,384,426 0.60×
      switch
      		 152,896 3,755,473 24.56×
      timermix
      		 181,168 4,787,007 26.42×
      tlb-shootdown
      		 18,795 111,236 5.92×
      tsc
      		 783,581 24,537,945 31.32×
      usersyscall
      		 238,884 5,708,921 23.90×
      vdso
      		 92,358,452 2,391,962,800 25.90×
      vfork
      		 27,158 169,430 6.24×
      x86syscall
      		 2,200,206 50,269,225 22.85×
      yield
      		 18,999,675 17,985,162 0.95×
      zero
      		 1,675,708 39,759,729 23.73×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 16,276 280,772 17.25×
      expmath
      		 3,070 74,034 24.12×
      fma
      		 918,564 23,670,562 25.77×
      fp
      		 251.32 6,218 24.74×
      fractal
      		 7.4 201.73 27.26×
      hyperbolic
      		 3,810 91,354 23.98×
      logmath
      		 4,550 104,223 22.91×
      matrix
      		 4,901 92,672 18.91×
      matrix-3d
      		 343.56 4,115 11.98×
      monte-carlo
      		 107.2 2,420 22.58×
      mpfr
      		 1,689 34,385 20.36×
      powmath
      		 1,321 34,522 26.13×
      trig
      		 1,868 45,675 24.45×
      veccmp
      		 18,968 396,787 20.92×
      vecfp
      		 1,805 42,390 23.48×
      vecmath
      		 4,022 103,930 25.84×
      vecshuf
      		 637 12,599 19.78×
      vecwide
      		 28,563 611,193 21.40×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 10.4 189.59 18.23×
      bsearch
      		 305.38 6,784 22.22×
      bubblesort
      		 0.8 20.2 25.25×
      fibsearch
      		 379.76 7,429 19.56×
      heapsort
      		 11 242.4 22.04×
      hsearch
      		 10,807 192,762 17.84×
      insertionsort
      		 13 205.2 15.78×
      malloc
      		 3,847,150 58,590,434 15.23×
      mcontend
      		 144.07 5,650 39.22×
      mergesort
      		 33.6 809.97 24.11×
      qsort
      		 21.8 502.6 23.06×
      skiplist
      		 6,955 180,244 25.92×
      tree
      		 2 25.58 12.79×
      MemorySingleMultiScaling
      cache
      		 875,013 1,118,761 1.28×
      cachehammer
      		 295,990 7,587,052 25.63×
      cacheline
      		 62.57 2,564 40.97×
      l1cache
      		 253.28 4,670 18.44×
      memcpy
      		 447 7,345 16.43×
      memrate
      		 3.9 12.06 3.09×
      memthrash
      		 177.67 1,122 6.32×
      ptr-chase
      		 45,098,760 263,897,932 5.85×
      spinmem
      		 251.79 1,960 7.78×
      stream
      		 135.81 13,516 99.52×
      vm
      		 57,667 295,955 5.13×

      Stress-ng Raw Scores

      Stress-ng Relative Multicore Performance

      Static Web Server

      Redis

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      ecs.c8a.8xlarge FAQs