ecs.c5.16xlarge by Alibaba Cloud

ecs.c5.16xlarge is a ecs.c5 family (64 vCPUs, 128 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 64 vCPUs, 128 GiB of memory and 0 GB of storage. The pricing starts at 2.816 USD per hour.
64 vCPU
128 GiB Memory
Spare SCore
47,220
(All-cores)
1,103
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.c5.16xlarge
Description
ecs.c5 family (64 vCPUs, 128 GiB RAM, 0 GB storage)
Family
ecs.c5
Hw Virt
Status
active
Observed At
2026-10-31T01:12:05.385023

Availability

REGION / IDSPOTONDEMAND
Jakarta (ID) / ap-southeast-5
- 2.816 USD/h
Beijing (CN) / cn-beijing
- 3.13 USD/h
Hangzhou (CN) / cn-hangzhou
- 3.13 USD/h
Shenzhen (CN) / cn-shenzhen
- 3.13 USD/h

Processor

vCPUs
64
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
32
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
1 MiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
1 MiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
32 MiB
CPU L3 Cache
36 MiB
CPU L3 Cache Total
36 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, monitor, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, abm, 3dnowprefetch, pti, fsgsbase, tsc_adjust, bmi1, avx2, smep, bmi2, erms, invpcid, avx512f, avx512dq, rdseed, adx, smap, clflushopt, clwb, avx512cd, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, arat, avx512_vnni
Ecpus
42.8
Scalability
66.88

System Resources and Accelerators

MEMORY
Memory Amount
128 GiB
Memory Amount Actual
128 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
      20 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated sixty-four vCPU compute-optimized instance designed for highly parallelized multi-threaded processing and network-heavy workloads.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.c5.16xlarge is a compute-optimized virtual server featuring 64 dedicated vCPUs and 128.0 GB of RAM, powered by an Intel Xeon 8163 processor at 2.5 GHz. Operating on the KVM hypervisor, this instance provides a 1:2 vCPU-to-RAM ratio, 20 Gbps baseline network bandwidth, and contains no local storage or GPU hardware. Benchmark data reveals weak single-core performance but average multi-core capabilities, with strong multi-threaded bzip3 decompression. The instance is qualitatively cost-effective for compute-heavy, parallelized workloads that do not require local NVMe storage. It is well-suited for multi-threaded data processing, software compilation, static web serving, and medium-scale language model inference.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.8Score
      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) 4,680,300 ops/sec 1,918,343 ops/sec 2.5 50.00% 50.00% +58.00%
      Redis RPS (pipeline=16, SET) 26,512,299 ops/sec 11,704,734 ops/sec 2.2 20.00% 20.00% +17.00%
      PassMark Memory Mark (composite) 1,934 2,416 0.79 10.00% 10.00% -2.30%
      Memory bandwidth (read, 16 MB ~ L3) 122,721 MB/sec 108,466 MB/sec 1.1 10.00% 10.00% +0.96%
      PassMark single-thread CPU 1,663 Mops/s 2,365 Mops/s 0.71 10.00% 10.00% -3.40%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,017

      Geekbench Multi-Core

      Score: 10,572

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 38,269
      Compression
      		 727,285
      Encryption
      		 21,726
      Extended Instructions
      		 49,680
      Floating Point Maths
      		 84,660
      Integer Maths
      		 157,854
      Physics
      		 3,368
      Prime Numbers
      		 200
      Single Threaded
      		 1,663
      String Sorting
      		 92,287

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,934
      Database Operations
      		 16,823
      Memory Latency
      		 72
      Memory Read Cached
      		 19,309
      Memory Read Uncached
      		 6,779
      Memory Write
      		 7,005

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 183.49 113.26 0.62×
      bitops
      		 97,026 3,458,915 35.65×
      branch
      		 122,017 5,935,990 48.65×
      funccall
      		 449.43 15,128 33.66×
      funcret
      		 9,106 423,208 46.48×
      hash
      		 103,659 4,912,486 47.39×
      intmath
      		 17,873 871,728 48.77×
      nop
      		 151,060 4,201,665 27.81×
      prime
      		 260,682 9,342,421 35.84×
      rotate
      		 76,603 3,091,244 40.35×
      str
      		 658,050 26,885,545 40.86×
      wcs
      		 407,429 14,494,932 35.58×
      CryptographySingleMultiScaling
      crypt
      		 1,931 60,401 31.28×
      CompressionSingleMultiScaling
      jpeg
      		 476.45 18,293 38.39×
      zlib
      		 39.22 2,157 54.99×
      HypervisorSingleMultiScaling
      clock
      		 14,084 129,615 9.20×
      clone
      		 365.82 6,188 16.91×
      context
      		 1,526 65,315 42.81×
      cpu-sched
      		 66.53 3,882 58.34×
      eventfd
      		 73,120 1,309,235 17.91×
      fault
      		 10,741 91,891 8.55×
      fork
      		 3,090 47,485 15.37×
      getrandom
      		 35,656 1,416,770 39.73×
      hrtimers
      		 133,282 1,376,083 10.32×
      mprotect
      		 689,067 7,394,173 10.73×
      mtx
      		 11,082,182 1,309,380,768 118.15×
      munmap
      		 2,177 62,997 28.94×
      null
      		 164,767 6,440,000 39.09×
      pipe
      		 789,219 12,030,495 15.24×
      priv-instr
      		 335,803 8,649,730 25.76×
      resched
      		 4,152,489 5,052,067 1.22×
      switch
      		 216,911 5,458,625 25.17×
      timermix
      		 341,593 14,733,335 43.13×
      tlb-shootdown
      		 8,726 68,522 7.85×
      tsc
      		 789,422 35,498,875 44.97×
      usersyscall
      		 244,505 7,780,541 31.82×
      vdso
      		 64,175,565 3,590,713,220 55.95×
      vfork
      		 21,579 64,219 2.98×
      x86syscall
      		 1,860,211 72,011,787 38.71×
      yield
      		 25,198,120 28,495,433 1.13×
      zero
      		 1,260,784 46,951,990 37.24×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 12,900 530,435 41.12×
      expmath
      		 2,124 104,368 49.13×
      fma
      		 510,484 26,781,391 52.46×
      fp
      		 105.6 4,661 44.13×
      fractal
      		 4 183.5 45.88×
      hyperbolic
      		 2,146 111,559 51.97×
      logmath
      		 3,613 174,649 48.34×
      matrix
      		 2,437 127,786 52.43×
      matrix-3d
      		 596.85 4,340 7.27×
      monte-carlo
      		 85.77 3,461 40.35×
      mpfr
      		 969.45 33,608 34.67×
      powmath
      		 1,258 61,661 49.03×
      trig
      		 1,362 59,090 43.39×
      veccmp
      		 12,334 406,636 32.97×
      vecfp
      		 1,101 43,737 39.72×
      vecmath
      		 1,730 87,676 50.67×
      vecshuf
      		 446.84 15,355 34.36×
      vecwide
      		 21,104 766,357 36.31×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 5.6 205.19 36.64×
      bsearch
      		 197.63 7,280 36.83×
      bubblesort
      		 0.6 12.8 21.33×
      fibsearch
      		 222.56 9,175 41.23×
      heapsort
      		 6.6 258.79 39.21×
      hsearch
      		 3,969 159,573 40.20×
      insertionsort
      		 6.4 204.8 32.00×
      malloc
      		 1,711,991 43,317,933 25.30×
      mcontend
      		 71.91 11,715 162.91×
      mergesort
      		 21.2 867.16 40.90×
      qsort
      		 15 590.38 39.36×
      skiplist
      		 4,153 189,528 45.64×
      tree
      		 1.2 27.92 23.27×
      MemorySingleMultiScaling
      cache
      		 283,255 733,967 2.59×
      cachehammer
      		 250,026 11,163,942 44.65×
      cacheline
      		 38.73 1,405 36.27×
      l1cache
      		 164.36 5,992 36.46×
      memcpy
      		 302.68 9,792 32.35×
      memrate
      		 0.97 10.31 10.63×
      memthrash
      		 270.18 433.67 1.61×
      ptr-chase
      		 29,700,283 423,251,518 14.25×
      spinmem
      		 284.99 3,763 13.21×
      stream
      		 33.05 23,124 699.66×
      vm
      		 29,739 300,340 10.10×

      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.c5.8xlarge 3264 GiB0

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      ecs.c5.16xlarge FAQs