ecs.c8a.4xlarge by Alibaba Cloud

ecs.c8a.4xlarge is a ecs.c8a 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 0.4795 USD per hour.
16 vCPU
32 GiB Memory
Spare SCore
24,601
(All-cores)
3,073
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.c8a.4xlarge
Description
ecs.c8a family (16 vCPUs, 32 GiB RAM, 0 GB storage)
Family
ecs.c8a
Hw Virt
Average Time To Start
12.5
Status
active
Observed At
2026-10-28T23:18:20.668102

Availability

REGION / IDSPOTONDEMAND
Shenzhen (CN) / cn-shenzhen
- 0.4795 USD/h

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
8
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
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
      7 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated compute-optimized instance featuring AMD EPYC processors, strong single-core performance, and AVX-512 instruction support for vector-heavy workloads.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.c8a.4xlarge is an x86_64 compute-optimized instance powered by a 2.7 GHz AMD EPYC 9T24 processor. Running on the KVM hypervisor, it provides 16 dedicated vCPUs (8 physical cores) and 32.0 GB of system memory, resulting in a 2.0 GB per vCPU ratio. The instance lacks local storage and GPUs, but features a 7 Gbps baseline network bandwidth. Benchmark data indicates strong single-core CPU and text processing performance, alongside average multi-core and database execution. However, a key tradeoff is its weak uncached large-block read-only memory bandwidth, which sits in the bottom 25%. Supported by AVX-512 and cryptographic instruction sets, this instance is suited for compute-intensive tasks such as web serving, software compilation, and text processing where high memory capacity is not required.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.81Score
      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) 1,464,445 ops/sec 1,919,289 ops/sec 0.79 50.00% 50.00% -11.00%
      Redis RPS (pipeline=16, SET) 11,391,809 ops/sec 11,728,058 ops/sec 0.92 20.00% 20.00% -1.70%
      PassMark Memory Mark (composite) 2,522 2,416 1 10.00% 10.00% 0.00%
      Memory bandwidth (read, 16 MB ~ L3) 41,000 MB/sec 108,466 MB/sec 0.37 10.00% 10.00% -9.50%
      PassMark single-thread CPU 2,885 Mops/s 2,365 Mops/s 1.2 10.00% 10.00% +1.80%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 2,000

      Geekbench Multi-Core

      Score: 11,705

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 26,406
      Compression
      		 313,369
      Encryption
      		 19,244
      Extended Instructions
      		 21,863
      Floating Point Maths
      		 42,481
      Integer Maths
      		 75,867
      Physics
      		 2,477
      Prime Numbers
      		 126
      Single Threaded
      		 2,885
      String Sorting
      		 45,289

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,522
      Database Operations
      		 7,589
      Memory Latency
      		 76
      Memory Read Cached
      		 27,520
      Memory Read Uncached
      		 26,024
      Memory Write
      		 25,836

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 546.95 323.47 0.59×
      bitops
      		 160,399 1,546,964 9.64×
      branch
      		 212,294 3,046,820 14.35×
      funccall
      		 616.32 6,854 11.12×
      funcret
      		 21,347 251,018 11.76×
      hash
      		 163,243 1,960,555 12.01×
      intmath
      		 67,118 718,609 10.71×
      nop
      		 626,442 5,087,045 8.12×
      prime
      		 483,690 5,087,970 10.52×
      rotate
      		 88,120 706,621 8.02×
      str
      		 1,091,240 10,933,747 10.02×
      wcs
      		 692,421 6,396,210 9.24×
      CryptographySingleMultiScaling
      crypt
      		 3,743 32,335 8.64×
      CompressionSingleMultiScaling
      jpeg
      		 833.25 9,252 11.10×
      zlib
      		 55.8 816.08 14.63×
      HypervisorSingleMultiScaling
      clock
      		 18,501 208,380 11.26×
      clone
      		 450.77 3,039 6.74×
      context
      		 1,777 21,476 12.09×
      cpu-sched
      		 60.51 1,042 17.21×
      eventfd
      		 74,133 868,168 11.71×
      fault
      		 11,095 131,924 11.89×
      fork
      		 4,776 50,040 10.48×
      getrandom
      		 50,770 532,476 10.49×
      hrtimers
      		 488,465 1,832,459 3.75×
      mprotect
      		 1,243,177 2,380,220 1.91×
      mtx
      		 37,637,529 1,108,644,576 29.46×
      munmap
      		 3,295 36,039 10.94×
      null
      		 192,662 2,231,960 11.58×
      pipe
      		 923,362 5,179,023 5.61×
      priv-instr
      		 328,440 4,057,544 12.35×
      resched
      		 3,785,328 1,606,753 0.42×
      switch
      		 202,084 1,898,175 9.39×
      timermix
      		 180,989 2,446,030 13.51×
      tlb-shootdown
      		 21,754 68,396 3.14×
      tsc
      		 783,879 12,272,074 15.66×
      usersyscall
      		 238,404 2,926,142 12.27×
      vdso
      		 92,418,941 1,197,158,483 12.95×
      vfork
      		 40,933 272,785 6.66×
      x86syscall
      		 2,191,527 25,154,412 11.48×
      yield
      		 8,278,166 8,103,081 0.98×
      zero
      		 1,677,645 19,984,704 11.91×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 16,583 139,883 8.44×
      expmath
      		 2,927 36,551 12.49×
      fma
      		 917,191 12,041,163 13.13×
      fp
      		 251.52 3,084 12.26×
      fractal
      		 7.4 101.01 13.65×
      hyperbolic
      		 3,563 45,672 12.82×
      logmath
      		 4,555 52,250 11.47×
      matrix
      		 4,906 46,348 9.45×
      matrix-3d
      		 953.3 2,105 2.21×
      monte-carlo
      		 106.96 1,207 11.28×
      mpfr
      		 1,692 17,238 10.19×
      powmath
      		 1,342 17,486 13.03×
      trig
      		 1,871 22,854 12.22×
      veccmp
      		 19,035 198,858 10.45×
      vecfp
      		 1,808 21,183 11.72×
      vecmath
      		 4,021 52,144 12.97×
      vecshuf
      		 637.41 6,298 9.88×
      vecwide
      		 28,562 306,407 10.73×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 10.4 95.6 9.19×
      bsearch
      		 305.57 3,394 11.11×
      bubblesort
      		 0.8 10.4 13.00×
      fibsearch
      		 379.15 3,688 9.73×
      heapsort
      		 11 121.6 11.05×
      hsearch
      		 11,123 98,781 8.88×
      insertionsort
      		 12.8 105.4 8.23×
      malloc
      		 3,868,277 41,783,939 10.80×
      mcontend
      		 250.12 3,207 12.82×
      mergesort
      		 34.4 405.99 11.80×
      qsort
      		 21.8 251.59 11.54×
      skiplist
      		 7,018 91,036 12.97×
      tree
      		 2 12.79 6.39×
      MemorySingleMultiScaling
      cache
      		 898,346 2,495,700 2.78×
      cachehammer
      		 280,734 4,224,806 15.05×
      cacheline
      		 74.47 1,346 18.07×
      l1cache
      		 247.89 2,311 9.32×
      memcpy
      		 447.39 3,670 8.20×
      memrate
      		 3.71 6.08 1.64×
      memthrash
      		 200.8 591.74 2.95×
      ptr-chase
      		 45,213,594 134,137,640 2.97×
      spinmem
      		 285.39 798.07 2.80×
      stream
      		 136.22 3,227 23.69×
      vm
      		 67,777 293,186 4.33×

      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.12xlarge 4896 GiB0
      ecs.c8a.16xlarge 64128 GiB0
      ecs.c8a.24xlarge 96192 GiB0

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      ecs.c8a.4xlarge FAQs