ecs.c8a.2xlarge by Alibaba Cloud

ecs.c8a.2xlarge is a ecs.c8a 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 0.0456 USD per hour.
8 vCPU
16 GiB Memory
Spare SCore
12,260
(All-cores)
3,062
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.c8a.2xlarge
Description
ecs.c8a family (8 vCPUs, 16 GiB RAM, 0 GB storage)
Family
ecs.c8a
Hw Virt
Average Time To Start
10.5
Status
active
Observed At
2026-10-28T23:18:20.668002

Availability

REGION / IDSPOTONDEMAND
Shenzhen (CN) / cn-shenzhen
0.0456 USD/h 0.2398 USD/h

Processor

vCPUs
8
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
4
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
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
      4 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      Server Description

      A compute-optimized virtual server featuring dedicated AMD EPYC processors and strong single-core performance for processing-intensive workloads.

      Compute Optimized

      Alibaba Cloud ecs.c8a.2xlarge is a compute-optimized instance featuring 8 dedicated vCPUs and 16.0 GB of RAM, powered by an AMD EPYC 9T24 processor at 2.7 GHz. Built on the x86_64 architecture and KVM hypervisor, this instance provides a 1:2 vCPU-to-RAM ratio, making it highly efficient for processing-intensive tasks. Benchmark data shows strong single-core performance in stress-ng and Geekbench tests, alongside average multi-core and database execution speeds. The instance lacks local storage and GPU accelerators, relying on network-attached storage and a baseline network bandwidth of 4 Gbps. It supports advanced instruction sets like AVX-512 and AVX512_VNNI. This hardware profile is well-suited for compute-bound applications, software compilation, text processing, and web serving workloads where high memory density is not required.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.55Score
      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.Partial coverage: missing component benchmark(s): Memory bandwidth (read, 16 MB ~ L3).
      Component Score Weight Impact
      Raw Reference Normalized Target Actual
      Redis RPS (pipeline=1, SET) 805,338 ops/sec 1,919,289 ops/sec 0.43 50.00% 56.00% -38.00%
      Redis RPS (pipeline=16, SET) 6,304,838 ops/sec 11,728,058 ops/sec 0.53 20.00% 22.00% -13.00%
      PassMark Memory Mark (composite) 2,400 2,416 1 10.00% 11.00% 0.00%
      Memory bandwidth (read, 16 MB ~ L3) — 108,466 MB/sec — 10.00% 0.00% —
      PassMark single-thread CPU 2,865 Mops/s 2,365 Mops/s 1.2 10.00% 11.00% +2.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 2,001

      Geekbench Multi-Core

      Score: 7,752

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 14,407
      Compression
      		 156,473
      Encryption
      		 9,578
      Extended Instructions
      		 10,809
      Floating Point Maths
      		 21,159
      Integer Maths
      		 37,829
      Physics
      		 1,545
      Prime Numbers
      		 91
      Single Threaded
      		 2,865
      String Sorting
      		 22,982

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,400
      Database Operations
      		 4,029
      Memory Latency
      		 70
      Memory Read Cached
      		 27,418
      Memory Read Uncached
      		 26,339
      Memory Write
      		 26,107

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 610.64 368.96 0.60×
      bitops
      		 159,848 770,237 4.82×
      branch
      		 211,522 1,514,870 7.16×
      funccall
      		 615.79 3,492 5.67×
      funcret
      		 21,083 125,290 5.94×
      hash
      		 162,568 972,459 5.98×
      intmath
      		 66,766 354,378 5.31×
      nop
      		 624,211 2,532,119 4.06×
      prime
      		 477,833 2,523,173 5.28×
      rotate
      		 87,743 351,887 4.01×
      str
      		 1,052,292 5,360,070 5.09×
      wcs
      		 687,459 3,251,700 4.73×
      CryptographySingleMultiScaling
      crypt
      		 3,721 16,038 4.31×
      CompressionSingleMultiScaling
      jpeg
      		 894.82 4,919 5.50×
      zlib
      		 61.51 447.21 7.27×
      HypervisorSingleMultiScaling
      clock
      		 23,506 143,278 6.10×
      clone
      		 476.83 1,566 3.28×
      context
      		 2,841 20,279 7.14×
      cpu-sched
      		 55.72 499 8.96×
      eventfd
      		 77,944 502,688 6.45×
      fault
      		 11,572 70,605 6.10×
      fork
      		 5,126 30,418 5.93×
      getrandom
      		 51,534 275,260 5.34×
      hrtimers
      		 246,412 888,789 3.61×
      mprotect
      		 1,191,105 1,581,899 1.33×
      mtx
      		 39,414,625 552,295,548 14.01×
      munmap
      		 3,480 19,793 5.69×
      null
      		 338,179 2,345,909 6.94×
      pipe
      		 1,258,328 3,719,338 2.96×
      priv-instr
      		 410,235 2,757,041 6.72×
      resched
      		 2,391,788 1,107,542 0.46×
      switch
      		 152,985 1,037,486 6.78×
      timermix
      		 223,432 1,383,879 6.19×
      tlb-shootdown
      		 21,767 41,901 1.92×
      tsc
      		 781,636 6,105,646 7.81×
      usersyscall
      		 319,847 2,154,130 6.73×
      vdso
      		 92,073,090 595,485,947 6.47×
      vfork
      		 39,052 163,279 4.18×
      x86syscall
      		 3,869,305 27,025,617 6.98×
      yield
      		 4,643,068 4,687,245 1.01×
      zero
      		 2,691,112 18,296,762 6.80×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 16,388 70,058 4.28×
      expmath
      		 3,040 18,782 6.18×
      fma
      		 915,705 6,017,781 6.57×
      fp
      		 250.51 1,542 6.15×
      fractal
      		 7.4 50.4 6.81×
      hyperbolic
      		 3,797 22,699 5.98×
      logmath
      		 4,536 25,977 5.73×
      matrix
      		 4,904 23,081 4.71×
      matrix-3d
      		 962.18 2,327 2.42×
      monte-carlo
      		 161.53 1,116 6.91×
      mpfr
      		 1,686 8,658 5.13×
      powmath
      		 1,311 8,544 6.52×
      trig
      		 1,863 11,379 6.11×
      veccmp
      		 18,961 98,824 5.21×
      vecfp
      		 1,798 10,799 6.01×
      vecmath
      		 4,004 25,897 6.47×
      vecshuf
      		 635.65 3,134 4.93×
      vecwide
      		 28,479 152,471 5.35×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 10.4 47 4.52×
      bsearch
      		 304.05 1,696 5.58×
      bubblesort
      		 0.8 5.2 6.50×
      fibsearch
      		 378.61 1,832 4.84×
      heapsort
      		 11 60.4 5.49×
      hsearch
      		 10,674 48,725 4.56×
      insertionsort
      		 12.6 52.8 4.19×
      malloc
      		 3,901,687 26,967,546 6.91×
      mcontend
      		 276.82 1,637 5.91×
      mergesort
      		 33.8 201.99 5.98×
      qsort
      		 21.8 124.6 5.72×
      skiplist
      		 6,974 45,342 6.50×
      tree
      		 2 9.6 4.80×
      MemorySingleMultiScaling
      cache
      		 899,569 1,780,048 1.98×
      cachehammer
      		 281,541 2,145,361 7.62×
      cacheline
      		 67.53 583.74 8.64×
      l1cache
      		 248.61 1,176 4.73×
      memcpy
      		 445.37 1,830 4.11×
      memrate
      		 3.93 4.67 1.19×
      memthrash
      		 169.37 413.25 2.44×
      ptr-chase
      		 44,748,807 76,895,094 1.72×
      spinmem
      		 283.79 476.57 1.68×
      stream
      		 136.55 1,606 11.76×
      vm
      		 98,284 291,853 2.97×

      Stress-ng Raw Scores

      Stress-ng Relative Multicore Performance

      Static Web Server

      Redis

      Alternatives

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      INSTANCEvCPUsMEMORYAccelerators
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      ecs.c8a.8xlarge 3264 GiB0
      ecs.c8a.12xlarge 4896 GiB0
      ecs.c8a.16xlarge 64128 GiB0
      ecs.c8a.24xlarge 96192 GiB0

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      ecs.c8a.2xlarge FAQs