ecs.c7t.16xlarge by Alibaba Cloud

ecs.c7t.16xlarge is a ecs.c7t 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 2.3299 USD per hour.
64 vCPU
128 GiB Memory
Spare SCore
62,179
(All-cores)
1,853
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.c7t.16xlarge
Description
ecs.c7t family (64 vCPUs, 128 GiB RAM, 0 GB storage)
Family
ecs.c7t
Hw Virt
Status
active
Observed At
2026-10-29T06:18:51.968742

Availability

REGION / IDSPOTONDEMAND
Beijing (CN) / cn-beijing
- 2.3299 USD/h
Hangzhou (CN) / cn-hangzhou
- 2.3299 USD/h
Jakarta (ID) / ap-southeast-5
- 2.964 USD/h

Processor

vCPUs
64
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
32
CPU Speed
2.7 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8369B
CPU L1D Cache
48 KiB
CPU L1D Cache Total
2 MiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
1 MiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
40 MiB
CPU L3 Cache
48 MiB
CPU L3 Cache Total
48 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, cpuid_fault, ibrs_enhanced, fsgsbase, tsc_adjust, sgx, bmi1, avx2, smep, bmi2, erms, invpcid, avx512f, avx512dq, rdseed, adx, smap, avx512ifma, clflushopt, clwb, avx512cd, sha_ni, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, wbnoinvd, arat, avx512vbmi, pku, ospke, avx512_vbmi2, gfni, vaes, vpclmulqdq, avx512_vnni, avx512_bitalg, avx512_vpopcntdq, rdpid, sgx_lc, fsrm, arch_capabilities
Ecpus
33.6
Scalability
52.5

System Resources and Accelerators

MEMORY
Memory Amount
128 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
      32 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A compute-optimized instance delivering 64 dedicated vCPUs and strong multi-core performance for parallel processing and database workloads.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.c7t.16xlarge is an x86_64 compute-optimized server instance featuring 64 dedicated vCPUs from an Intel Xeon 8369B processor running at 2.7 GHz, paired with 128 GB of RAM. It lacks local storage and GPU accelerators, utilizing a 32 Gbps baseline network bandwidth for external connectivity. The instance delivers strong multi-core performance, ranking in the top 25% for multi-threaded benchmarks, software compilation, ray tracing, and database operations. Single-core performance and memory bandwidth remain in the average tier. The 1:2 vCPU-to-RAM ratio offers a cost-efficient profile for raw compute power, though the lack of local storage requires network-attached alternatives. This instance is highly suited for parallel processing, software compilation, web serving, and database workloads.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      2.5Score
      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) 7,196,089 ops/sec 1,919,289 ops/sec 3.8 50.00% 50.00% +95.00%
      Redis RPS (pipeline=16, SET) 35,281,775 ops/sec 11,728,058 ops/sec 2.9 20.00% 20.00% +24.00%
      PassMark Memory Mark (composite) 2,549 2,416 1 10.00% 10.00% 0.00%
      Memory bandwidth (read, 16 MB ~ L3) 177,303 MB/sec 108,466 MB/sec 1.6 10.00% 10.00% +4.80%
      PassMark single-thread CPU 2,369 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,613

      Geekbench Multi-Core

      Score: 16,563

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 56,038
      Compression
      		 903,725
      Encryption
      		 52,876
      Extended Instructions
      		 51,330
      Floating Point Maths
      		 137,926
      Integer Maths
      		 269,784
      Physics
      		 4,123
      Prime Numbers
      		 253
      Single Threaded
      		 2,369
      String Sorting
      		 118,173

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,549
      Database Operations
      		 25,410
      Memory Latency
      		 59
      Memory Read Cached
      		 23,333
      Memory Read Uncached
      		 11,182
      Memory Write
      		 10,617

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 271.11 269.34 0.99×
      bitops
      		 130,311 4,267,129 32.75×
      branch
      		 137,494 6,995,593 50.88×
      funccall
      		 635.91 19,828 31.18×
      funcret
      		 11,754 512,383 43.59×
      hash
      		 151,226 6,975,481 46.13×
      intmath
      		 61,380 2,416,788 39.37×
      nop
      		 189,933 5,326,740 28.05×
      prime
      		 394,320 12,947,556 32.84×
      rotate
      		 97,964 3,322,175 33.91×
      str
      		 897,221 27,883,192 31.08×
      wcs
      		 598,013 15,695,253 26.25×
      CryptographySingleMultiScaling
      crypt
      		 2,841 81,799 28.80×
      CompressionSingleMultiScaling
      jpeg
      		 704.75 25,724 36.50×
      zlib
      		 40.86 2,729 66.79×
      HypervisorSingleMultiScaling
      clock
      		 23,515 324,413 13.80×
      clone
      		 582.96 10,367 17.78×
      context
      		 4,843 232,590 48.02×
      cpu-sched
      		 59.38 3,974 66.92×
      eventfd
      		 115,168 2,258,078 19.61×
      fault
      		 18,396 268,650 14.60×
      fork
      		 5,627 110,728 19.68×
      getrandom
      		 51,115 1,831,565 35.83×
      hrtimers
      		 140,646 2,580,897 18.35×
      mprotect
      		 1,188,824 14,511,545 12.21×
      mtx
      		 14,457,126 2,049,249,264 141.75×
      munmap
      		 4,019 110,250 27.43×
      null
      		 800,226 30,339,438 37.91×
      pipe
      		 1,137,091 27,885,397 24.52×
      priv-instr
      		 827,064 16,708,849 20.20×
      resched
      		 17,222,256 10,348,235 0.60×
      switch
      		 196,904 3,820,856 19.40×
      timermix
      		 356,490 19,314,454 54.18×
      tlb-shootdown
      		 11,823 85,711 7.25×
      tsc
      		 769,661 36,499,307 47.42×
      usersyscall
      		 644,623 16,798,337 26.06×
      vdso
      		 112,272,177 4,079,447,865 36.34×
      vfork
      		 43,708 167,299 3.83×
      x86syscall
      		 9,093,967 388,999,726 42.78×
      yield
      		 46,866,772 58,867,480 1.26×
      zero
      		 4,625,404 171,974,251 37.18×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 14,798 581,447 39.29×
      expmath
      		 2,887 131,075 45.40×
      fma
      		 660,380 35,695,563 54.05×
      fp
      		 200.34 6,399 31.94×
      fractal
      		 5 230.46 46.09×
      hyperbolic
      		 3,074 142,846 46.47×
      logmath
      		 4,850 220,843 45.53×
      matrix
      		 3,499 160,970 46.00×
      matrix-3d
      		 809.56 6,033 7.45×
      monte-carlo
      		 258.71 10,933 42.26×
      mpfr
      		 1,412 45,137 31.96×
      powmath
      		 1,688 77,528 45.94×
      trig
      		 1,962 74,252 37.85×
      veccmp
      		 20,277 594,182 29.30×
      vecfp
      		 1,529 59,031 38.60×
      vecmath
      		 3,235 141,467 43.74×
      vecshuf
      		 665.61 22,697 34.10×
      vecwide
      		 31,810 1,017,007 31.97×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 8 243.19 30.40×
      bsearch
      		 249.25 9,916 39.78×
      bubblesort
      		 1 25.6 25.60×
      fibsearch
      		 288.68 11,634 40.30×
      heapsort
      		 9.4 331.59 35.28×
      hsearch
      		 7,150 243,284 34.03×
      insertionsort
      		 10.4 192 18.46×
      malloc
      		 2,545,208 60,812,082 23.89×
      mcontend
      		 112.68 12,933 114.78×
      mergesort
      		 26.8 1,060 39.53×
      qsort
      		 20.8 641.77 30.85×
      skiplist
      		 5,460 250,000 45.78×
      tree
      		 1.6 38.33 23.96×
      MemorySingleMultiScaling
      cache
      		 432,654 1,040,742 2.41×
      cachehammer
      		 361,906 15,353,131 42.42×
      cacheline
      		 71.76 4,320 60.20×
      l1cache
      		 916.98 11,932 13.01×
      memcpy
      		 407.92 12,134 29.75×
      memrate
      		 1.78 23.28 13.08×
      memthrash
      		 289.74 1,220 4.21×
      ptr-chase
      		 36,311,200 486,781,098 13.41×
      spinmem
      		 356.99 4,475 12.54×
      stream
      		 40.12 24,183 602.77×
      vm
      		 121,813 302,724 2.49×

      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.c7t.large 24 GiB0
      ecs.c7t.xlarge 48 GiB0
      ecs.c7t.2xlarge 816 GiB0
      ecs.c7t.3xlarge 1224 GiB0
      ecs.c7t.4xlarge 1632 GiB0
      ecs.c7t.6xlarge 2448 GiB0
      ecs.c7t.8xlarge 3264 GiB0

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      ecs.c7t.16xlarge FAQs