ecs.c8a.12xlarge by Alibaba Cloud

ecs.c8a.12xlarge is a ecs.c8a family (48 vCPUs, 96 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 48 vCPUs, 96 GiB of memory and 0 GB of storage. The pricing starts at 1.4385 USD per hour.
48 vCPU
96 GiB Memory
Spare SCore
73,776
(All-cores)
3,072
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.c8a.12xlarge
Description
ecs.c8a family (48 vCPUs, 96 GiB RAM, 0 GB storage)
Family
ecs.c8a
Hw Virt
Average Time To Start
13
Status
active
Observed At
2026-10-29T09:57:34.539225

Availability

REGION / IDSPOTONDEMAND
Shenzhen (CN) / cn-shenzhen
- 1.4385 USD/h

Processor

vCPUs
48
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
24
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
768 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
768 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
24 MiB
CPU L3 Cache
32 MiB
CPU L3 Cache Total
96 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
24
Scalability
50

System Resources and Accelerators

MEMORY
Memory Amount
96 GiB
Memory Amount Actual
96 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
      16 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A compute-optimized x86_64 virtual server featuring forty-eight dedicated AMD EPYC vCPUs for high-throughput processing and database workloads.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.c8a.12xlarge is a compute-optimized virtual server instance featuring 48 vCPUs and 24 physical cores powered by an AMD EPYC 9T24 processor running at 2.7 GHz. Built on the x86_64 architecture with the KVM hypervisor, it provides 96.0 GB of dedicated system memory, representing a 2.0 GB memory-per-core ratio. The instance lacks local storage and GPU accelerators but delivers a baseline network bandwidth of 16 Gbps. Benchmark data highlights strong CPU performance, particularly in multi-core processing, software compilation, cryptography, and database operations, all ranking in the top 25%. Conversely, large-block uncached memory bandwidth and static web serving throughput remain in the average tier. This hardware profile is highly efficient for compute-intensive workloads such as software compilation, ray tracing, and database operations that require dedicated CPU resources without massive memory or local storage demands.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      2Score
      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) 4,380,528 ops/sec 1,919,289 ops/sec 2.3 50.00% 50.00% +52.00%
      Redis RPS (pipeline=16, SET) 33,935,587 ops/sec 11,728,058 ops/sec 2.8 20.00% 20.00% +23.00%
      PassMark Memory Mark (composite) 2,826 2,416 1.2 10.00% 10.00% +1.80%
      Memory bandwidth (read, 16 MB ~ L3) 126,399 MB/sec 108,466 MB/sec 1.2 10.00% 10.00% +1.80%
      PassMark single-thread CPU 2,871 Mops/s 2,365 Mops/s 1.2 10.00% 10.00% +1.80%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 2,008

      Geekbench Multi-Core

      Score: 18,295

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 62,854
      Compression
      		 925,111
      Encryption
      		 57,770
      Extended Instructions
      		 64,824
      Floating Point Maths
      		 127,522
      Integer Maths
      		 228,001
      Physics
      		 7,190
      Prime Numbers
      		 365
      Single Threaded
      		 2,871
      String Sorting
      		 134,602

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,826
      Database Operations
      		 22,342
      Memory Latency
      		 75
      Memory Read Cached
      		 27,343
      Memory Read Uncached
      		 26,149
      Memory Write
      		 25,953

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 784.14 211.92 0.27×
      bitops
      		 160,329 4,626,808 28.86×
      branch
      		 212,436 9,135,185 43.00×
      funccall
      		 616.83 20,627 33.44×
      funcret
      		 21,328 733,738 34.40×
      hash
      		 162,963 5,869,811 36.02×
      intmath
      		 66,947 2,152,372 32.15×
      nop
      		 626,535 15,262,378 24.36×
      prime
      		 479,986 15,232,207 31.73×
      rotate
      		 88,077 2,120,210 24.07×
      str
      		 1,074,050 33,646,063 31.33×
      wcs
      		 684,915 19,369,050 28.28×
      CryptographySingleMultiScaling
      crypt
      		 3,740 97,256 26.00×
      CompressionSingleMultiScaling
      jpeg
      		 886.17 27,325 30.84×
      zlib
      		 58.48 2,550 43.60×
      HypervisorSingleMultiScaling
      clock
      		 17,626 283,696 16.10×
      clone
      		 266.79 7,254 27.19×
      context
      		 1,754 63,471 36.19×
      cpu-sched
      		 80.83 3,090 38.23×
      eventfd
      		 57,306 2,491,624 43.48×
      fault
      		 10,811 246,929 22.84×
      fork
      		 3,734 83,951 22.48×
      getrandom
      		 50,675 1,608,962 31.75×
      hrtimers
      		 159,845 4,461,763 27.91×
      mprotect
      		 650,795 6,606,930 10.15×
      mtx
      		 32,389,954 2,855,935,967 88.17×
      munmap
      		 2,705 67,345 24.89×
      null
      		 189,578 6,630,669 34.98×
      pipe
      		 956,461 14,260,017 14.91×
      priv-instr
      		 325,863 11,584,169 35.55×
      resched
      		 6,632,810 5,023,603 0.76×
      switch
      		 158,222 5,464,584 34.54×
      timermix
      		 182,006 7,191,738 39.51×
      tlb-shootdown
      		 16,851 149,513 8.87×
      tsc
      		 783,531 36,841,704 47.02×
      usersyscall
      		 235,813 8,466,638 35.90×
      vdso
      		 92,397,208 3,586,404,479 38.82×
      vfork
      		 26,885 145,668 5.42×
      x86syscall
      		 2,169,091 74,298,563 34.25×
      yield
      		 25,737,979 26,259,920 1.02×
      zero
      		 1,655,645 59,368,956 35.86×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 15,643 419,792 26.84×
      expmath
      		 2,450 98,772 40.32×
      fma
      		 918,364 36,148,926 39.36×
      fp
      		 251.31 9,240 36.77×
      fractal
      		 7.4 303.32 40.99×
      hyperbolic
      		 3,817 137,431 36.01×
      logmath
      		 4,551 156,535 34.40×
      matrix
      		 4,897 139,138 28.42×
      matrix-3d
      		 577.5 6,211 10.75×
      monte-carlo
      		 106.84 3,631 33.98×
      mpfr
      		 1,692 51,191 30.25×
      powmath
      		 1,289 51,315 39.79×
      trig
      		 1,869 68,545 36.67×
      veccmp
      		 18,982 596,334 31.42×
      vecfp
      		 1,805 64,142 35.53×
      vecmath
      		 4,027 156,255 38.80×
      vecshuf
      		 637.19 18,910 29.68×
      vecwide
      		 28,538 914,940 32.06×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 10.4 286.79 27.58×
      bsearch
      		 305.92 10,282 33.61×
      bubblesort
      		 1 30.2 30.20×
      fibsearch
      		 379.39 10,586 27.90×
      heapsort
      		 10.8 364.59 33.76×
      hsearch
      		 11,213 299,820 26.74×
      insertionsort
      		 12.8 313.8 24.52×
      malloc
      		 3,875,852 81,021,678 20.90×
      mcontend
      		 123.06 8,253 67.07×
      mergesort
      		 34.4 1,202 34.94×
      qsort
      		 21.8 755.58 34.66×
      skiplist
      		 6,983 273,033 39.10×
      tree
      		 2 38.35 19.18×
      MemorySingleMultiScaling
      cache
      		 875,557 1,291,544 1.48×
      cachehammer
      		 285,682 10,948,825 38.33×
      cacheline
      		 75.56 3,782 50.05×
      l1cache
      		 272.72 6,853 25.13×
      memcpy
      		 447.22 11,006 24.61×
      memrate
      		 3.9 17.94 4.60×
      memthrash
      		 212.56 1,521 7.16×
      ptr-chase
      		 45,133,473 389,782,218 8.64×
      spinmem
      		 280.59 2,761 9.84×
      stream
      		 136.33 30,321 222.41×
      vm
      		 76,646 298,365 3.89×

      Stress-ng Raw Scores

      Stress-ng Relative Multicore Performance

      Static Web Server

      Redis

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      ecs.c8a.12xlarge FAQs