ecs.c5.8xlarge by Alibaba Cloud

ecs.c5.8xlarge is a ecs.c5 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 0.2253 USD per hour.
32 vCPU
64 GiB Memory
Spare SCore
23,532
(All-cores)
1,109
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.c5.8xlarge
Description
ecs.c5 family (32 vCPUs, 64 GiB RAM, 0 GB storage)
Family
ecs.c5
Hw Virt
Status
active
Observed At
2026-10-28T04:14:32.681426

Availability

REGION / IDSPOTONDEMAND
Jakarta (ID) / ap-southeast-5
0.2253 USD/h 1.408 USD/h
Beijing (CN) / cn-beijing
- 1.56 USD/h
Shenzhen (CN) / cn-shenzhen
- 1.56 USD/h

Processor

vCPUs
32
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
16
CPU Speed
2.5 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8163
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
33 MiB
CPU L3 Cache Total
33 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, ss, ht, syscall, nx, pdpe1gb, rdtscp, lm, constant_tsc, rep_good, nopl, xtopology, nonstop_tsc, cpuid, tsc_known_freq, pni, pclmulqdq, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, tsc_deadline_timer, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, abm, 3dnowprefetch, pti, ibrs, ibpb, stibp, fsgsbase, tsc_adjust, bmi1, hle, avx2, smep, bmi2, erms, invpcid, rtm, mpx, avx512f, avx512dq, rdseed, adx, smap, avx512cd, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, arat
Ecpus
21.2
Scalability
66.25

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 thirty-two dedicated vCPUs and balanced multi-core performance for parallelized network and database workloads.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.c5.8xlarge is a compute-optimized instance featuring 32 dedicated vCPUs and 64.0 GB of RAM, powered by an Intel Xeon 8163 processor at 2.5 GHz on the KVM hypervisor. It lacks local storage and GPU accelerators, relying on a 10 Gbps baseline network interface. Performance benchmarks reveal a distinct tradeoff: single-core CPU performance and single-threaded compression are weak, whereas multi-core execution scales to average levels in Geekbench, PassMark, and multi-threaded bzip3 decompression. The 2.0 GB of memory per vCPU limits memory-heavy applications but provides a cost-efficient profile for parallelized compute tasks. This instance is best suited for multi-threaded workloads such as static web serving, software compilation, database operations, and moderate Redis deployments where parallel processing is highly utilized.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.95Score
      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) 1,901,206 ops/sec 1,919,289 ops/sec 1 50.00% 50.00% 0.00%
      Redis RPS (pipeline=16, SET) 13,231,817 ops/sec 11,728,058 ops/sec 1.1 20.00% 20.00% +1.90%
      PassMark Memory Mark (composite) 1,821 2,416 0.75 10.00% 10.00% -2.80%
      Memory bandwidth (read, 16 MB ~ L3) 103,598 MB/sec 108,466 MB/sec 0.91 10.00% 10.00% -0.94%
      PassMark single-thread CPU 1,691 Mops/s 2,365 Mops/s 0.71 10.00% 10.00% -3.40%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 958

      Geekbench Multi-Core

      Score: 8,420

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 23,029
      Compression
      		 360,132
      Encryption
      		 10,859
      Extended Instructions
      		 24,159
      Floating Point Maths
      		 42,184
      Integer Maths
      		 78,614
      Physics
      		 2,149
      Prime Numbers
      		 106
      Single Threaded
      		 1,691
      String Sorting
      		 46,768

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,821
      Database Operations
      		 8,540
      Memory Latency
      		 79
      Memory Read Cached
      		 19,560
      Memory Read Uncached
      		 6,530
      Memory Write
      		 7,166

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 179.44 151.41 0.84×
      bitops
      		 100,489 1,766,025 17.57×
      branch
      		 122,387 2,957,703 24.17×
      funccall
      		 450.67 7,606 16.88×
      funcret
      		 9,184 212,687 23.16×
      hash
      		 103,981 2,449,828 23.56×
      intmath
      		 17,895 435,390 24.33×
      nop
      		 151,947 2,095,697 13.79×
      prime
      		 264,962 4,778,344 18.03×
      rotate
      		 76,706 1,540,821 20.09×
      str
      		 636,055 12,858,055 20.22×
      wcs
      		 427,258 7,380,584 17.27×
      CryptographySingleMultiScaling
      crypt
      		 1,933 30,219 15.63×
      CompressionSingleMultiScaling
      jpeg
      		 450.86 8,968 19.89×
      zlib
      		 32.14 1,087 33.83×
      HypervisorSingleMultiScaling
      clock
      		 8,629 175,754 20.37×
      clone
      		 380.08 5,273 13.87×
      context
      		 558.19 13,134 23.53×
      cpu-sched
      		 67.61 2,046 30.26×
      eventfd
      		 26,649 501,937 18.84×
      fault
      		 8,691 161,917 18.63×
      fork
      		 2,532 46,065 18.19×
      getrandom
      		 32,402 658,820 20.33×
      hrtimers
      		 162,231 2,461,898 15.18×
      mprotect
      		 650,235 2,059,165 3.17×
      mtx
      		 11,916,281 718,088,502 60.26×
      munmap
      		 1,831 34,586 18.89×
      null
      		 53,250 1,229,768 23.09×
      pipe
      		 426,964 4,602,667 10.78×
      priv-instr
      		 154,874 3,585,722 23.15×
      resched
      		 2,520,859 1,462,520 0.58×
      switch
      		 48,065 2,400,904 49.95×
      timermix
      		 113,926 2,631,549 23.10×
      tlb-shootdown
      		 10,965 46,028 4.20×
      tsc
      		 790,672 17,702,132 22.39×
      usersyscall
      		 100,420 2,319,561 23.10×
      vdso
      		 64,289,047 1,795,665,148 27.93×
      vfork
      		 18,099 185,492 10.25×
      x86syscall
      		 574,496 13,420,045 23.36×
      yield
      		 7,258,033 7,552,949 1.04×
      zero
      		 513,629 11,815,479 23.00×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 12,976 264,520 20.39×
      expmath
      		 2,136 52,252 24.46×
      fma
      		 479,722 13,258,728 27.64×
      fp
      		 129.6 3,151 24.31×
      fractal
      		 4.2 97.63 23.25×
      hyperbolic
      		 2,222 55,619 25.03×
      logmath
      		 3,568 87,208 24.44×
      matrix
      		 2,463 61,757 25.08×
      matrix-3d
      		 517.77 4,064 7.85×
      monte-carlo
      		 32.27 972.28 30.13×
      mpfr
      		 982.07 17,181 17.49×
      powmath
      		 1,264 30,876 24.43×
      trig
      		 1,367 29,898 21.88×
      veccmp
      		 12,367 192,434 15.56×
      vecfp
      		 1,763 34,709 19.69×
      vecmath
      		 1,674 42,340 25.30×
      vecshuf
      		 735.72 12,820 17.42×
      vecwide
      		 44,459 845,934 19.03×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 5.8 105.6 18.21×
      bsearch
      		 197.4 3,622 18.35×
      bubblesort
      		 0.6 6.4 10.67×
      fibsearch
      		 223.3 4,511 20.20×
      heapsort
      		 7 129 18.43×
      hsearch
      		 4,073 78,509 19.27×
      insertionsort
      		 6.4 102.4 16.00×
      malloc
      		 1,619,177 32,097,077 19.82×
      mcontend
      		 95.13 5,374 56.49×
      mergesort
      		 21.2 429.18 20.24×
      qsort
      		 15 294.19 19.61×
      skiplist
      		 4,141 93,315 22.53×
      tree
      		 1.2 12.78 10.65×
      MemorySingleMultiScaling
      cache
      		 256,377 477,895 1.86×
      cachehammer
      		 361,104 9,138,633 25.31×
      cacheline
      		 28.17 2,128 75.53×
      l1cache
      		 180.01 3,091 17.17×
      memcpy
      		 303.16 4,875 16.08×
      memrate
      		 0.94 11.4 12.13×
      memthrash
      		 166.54 785.61 4.72×
      ptr-chase
      		 27,945,852 231,538,672 8.29×
      spinmem
      		 187.59 1,115 5.94×
      stream
      		 34.36 9,855 286.81×
      vm
      		 15,766 295,097 18.72×

      Stress-ng Raw Scores

      Stress-ng Relative Multicore Performance

      LLM Inference Speed for Prompt Processing

      LLM Inference Speed for Text Generation

      Static Web Server

      Redis

      Alternatives

      Servers of the Same Family

      INSTANCEvCPUsMEMORYAccelerators
      ecs.c5.large 24 GiB0
      ecs.c5.xlarge 48 GiB0
      ecs.c5.2xlarge 816 GiB0
      ecs.c5.3xlarge 1224 GiB0
      ecs.c5.4xlarge 1632 GiB0
      ecs.c5.6xlarge 2448 GiB0
      ecs.c5.16xlarge 64128 GiB0

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      ecs.c5.8xlarge FAQs