ecs.c6a.8xlarge by Alibaba Cloud

ecs.c6a.8xlarge is a ecs.c6a 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 0.726 USD per hour.
32 vCPU
64 GiB Memory
Spare SCore
12,260
(All-cores)
767
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.c6a.8xlarge
Description
ecs.c6a family (32 vCPUs, 64 GiB RAM, 0 GB storage)
Family
ecs.c6a
Hw Virt
Average Time To Start
13
Status
active
Observed At
2026-10-28T10:50:48.073237

Availability

REGION / IDSPOTONDEMAND
Beijing (CN) / cn-beijing
- 0.726 USD/h
Guangzhou (CN) / cn-guangzhou
- 0.726 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.726 USD/h

Processor

vCPUs
32
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
16
CPU Speed
2.6 GHz
CPU Architecture
x86_64
CPU Manufacturer
AMD
CPU Family
EPYC
CPU Model
7H12
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
512 KiB
CPU L2 Cache Total
8 MiB
CPU L3 Cache
16 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, nopl, nonstop_tsc, cpuid, extd_apicid, tsc_known_freq, pni, pclmulqdq, monitor, ssse3, fma, cx16, sse4_1, sse4_2, x2apic, movbe, popcnt, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, cmp_legacy, cr8_legacy, abm, sse4a, misalignsse, 3dnowprefetch, osvw, topoext, perfctr_core, ssbd, ibpb, stibp, vmmcall, fsgsbase, tsc_adjust, bmi1, avx2, smep, bmi2, rdseed, adx, smap, sha_ni, xsaveopt, xsavec, xgetbv1, arat
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
      8 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated multi-core compute instance featuring AMD EPYC processors, balanced for parallel workloads and multi-threaded batch processing.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.c6a.8xlarge is a compute-optimized virtual server powered by an AMD EPYC 7H12 processor with 32 dedicated vCPUs and 64.0 GB of RAM. Operating on the KVM hypervisor, this x86_64 instance provides a baseline network bandwidth of 8 Gbps and lacks local storage or GPU accelerators. Performance benchmarks place its multi-core capabilities, software compilation, and database operations in the average tier, though single-core performance and uncached large-block memory bandwidth are relatively weak. The instance offers a cost-effective option for multi-threaded, compute-heavy tasks that do not demand high single-core throughput or massive memory allocations. It is best suited for workloads such as multi-threaded web serving, batch processing, and software compilation.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1Score
      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) 2,241,653 ops/sec 1,919,289 ops/sec 1.2 50.00% 50.00% +9.50%
      Redis RPS (pipeline=16, SET) 15,440,574 ops/sec 11,728,058 ops/sec 1.2 20.00% 20.00% +3.70%
      PassMark Memory Mark (composite) 2,584 2,416 1.1 10.00% 10.00% +0.96%
      Memory bandwidth (read, 16 MB ~ L3) 36,161 MB/sec 108,466 MB/sec 0.33 10.00% 10.00% -10.00%
      PassMark single-thread CPU 2,120 Mops/s 2,365 Mops/s 0.88 10.00% 10.00% -1.30%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,306

      Geekbench Multi-Core

      Score: 9,281

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 31,612
      Compression
      		 466,555
      Encryption
      		 33,674
      Extended Instructions
      		 27,395
      Floating Point Maths
      		 63,996
      Integer Maths
      		 107,289
      Physics
      		 1,714
      Prime Numbers
      		 135
      Single Threaded
      		 2,120
      String Sorting
      		 48,500

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,584
      Database Operations
      		 8,867
      Memory Latency
      		 53
      Memory Read Cached
      		 24,429
      Memory Read Uncached
      		 11,952
      Memory Write
      		 11,399

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 418.56 334.77 0.80×
      bitops
      		 120,369 2,434,458 20.23×
      branch
      		 152,870 4,301,856 28.14×
      funccall
      		 499.55 10,766 21.55×
      funcret
      		 14,039 341,248 24.31×
      hash
      		 130,940 3,283,729 25.08×
      intmath
      		 19,389 340,405 17.56×
      nop
      		 235,996 3,814,887 16.17×
      prime
      		 341,065 7,247,118 21.25×
      rotate
      		 59,751 992,284 16.61×
      str
      		 680,807 15,483,351 22.74×
      wcs
      		 502,700 9,320,048 18.54×
      CryptographySingleMultiScaling
      crypt
      		 2,846 49,352 17.34×
      CompressionSingleMultiScaling
      jpeg
      		 621.48 13,507 21.73×
      zlib
      		 49.17 1,425 28.98×
      HypervisorSingleMultiScaling
      clock
      		 18,081 228,770 12.65×
      clone
      		 223.5 3,024 13.53×
      context
      		 3,048 82,842 27.18×
      cpu-sched
      		 71.57 2,062 28.81×
      eventfd
      		 41,975 1,381,332 32.91×
      fault
      		 7,923 148,168 18.70×
      fork
      		 2,879 51,307 17.82×
      getrandom
      		 35,902 772,340 21.51×
      hrtimers
      		 803,866 2,823,416 3.51×
      mprotect
      		 546,373 4,809,296 8.80×
      mtx
      		 39,632,915 1,383,701,409 34.91×
      munmap
      		 2,016 40,116 19.90×
      null
      		 373,466 9,675,783 25.91×
      pipe
      		 1,232,889 9,099,188 7.38×
      priv-instr
      		 382,476 9,651,681 25.23×
      resched
      		 6,152,672 2,943,208 0.48×
      switch
      		 133,153 2,638,938 19.82×
      timermix
      		 151,427 4,071,697 26.89×
      tlb-shootdown
      		 11,805 64,972 5.50×
      tsc
      		 654,691 20,240,105 30.92×
      usersyscall
      		 277,245 7,129,253 25.71×
      vdso
      		 62,621,146 1,381,147,210 22.06×
      vfork
      		 19,851 117,957 5.94×
      x86syscall
      		 4,501,203 116,737,241 25.93×
      yield
      		 15,108,603 15,732,468 1.04×
      zero
      		 1,986,617 50,461,275 25.40×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 12,402 234,551 18.91×
      expmath
      		 2,779 69,271 24.93×
      fma
      		 742,703 18,676,304 25.15×
      fp
      		 208.23 4,863 23.36×
      fractal
      		 6.4 160.3 25.05×
      hyperbolic
      		 3,637 87,501 24.06×
      logmath
      		 4,095 95,777 23.39×
      matrix
      		 2,580 78,300 30.35×
      matrix-3d
      		 191.39 1,179 6.16×
      monte-carlo
      		 161.23 4,132 25.62×
      mpfr
      		 1,265 25,844 20.43×
      powmath
      		 1,339 34,598 25.85×
      trig
      		 1,554 38,108 24.52×
      veccmp
      		 16,999 328,493 19.32×
      vecfp
      		 1,385 32,478 23.46×
      vecmath
      		 3,350 86,604 25.86×
      vecshuf
      		 477.94 9,326 19.51×
      vecwide
      		 26,454 491,250 18.57×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 7 136.4 19.49×
      bsearch
      		 227.19 4,624 20.35×
      bubblesort
      		 0.8 12.8 16.00×
      fibsearch
      		 260.89 5,343 20.48×
      heapsort
      		 8.6 194.59 22.63×
      hsearch
      		 5,475 112,207 20.49×
      insertionsort
      		 6.6 128 19.39×
      malloc
      		 2,434,039 42,607,293 17.50×
      mcontend
      		 100.26 3,961 39.51×
      mergesort
      		 26 625.6 24.06×
      qsort
      		 16.4 412.78 25.17×
      skiplist
      		 5,465 141,399 25.87×
      tree
      		 1.8 19.17 10.65×
      MemorySingleMultiScaling
      cache
      		 484,752 723,438 1.49×
      cachehammer
      		 513,687 8,637,971 16.82×
      cacheline
      		 42.17 2,421 57.41×
      l1cache
      		 192.71 3,072 15.94×
      memcpy
      		 356.16 6,003 16.85×
      memrate
      		 1.75 5.84 3.34×
      memthrash
      		 135.51 251.44 1.86×
      ptr-chase
      		 28,598,112 199,779,902 6.99×
      spinmem
      		 127.59 892.83 7.00×
      stream
      		 155.38 9,021 58.06×
      vm
      		 53,133 294,633 5.55×

      Stress-ng Raw Scores

      Stress-ng Relative Multicore Performance

      Static Web Server

      Redis

      Alternatives

      Servers of the Same Family

      INSTANCEvCPUsMEMORYAccelerators
      ecs.c6a.large 24 GiB0
      ecs.c6a.xlarge 48 GiB0
      ecs.c6a.2xlarge 816 GiB0
      ecs.c6a.4xlarge 1632 GiB0
      ecs.c6a.16xlarge 64128 GiB0
      ecs.c6a.32xlarge 128256 GiB0

      Similar Servers

      INSTANCEVENDORvCPUsMEMORYAccelerators

      ecs.c6a.8xlarge FAQs