ecs.c7a.4xlarge by Alibaba Cloud

ecs.c7a.4xlarge is a ecs.c7a family (16 vCPUs, 32 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 16 vCPUs, 32 GiB of memory and 0 GB of storage. The pricing starts at 0.0621 USD per hour.
16 vCPU
32 GiB Memory
Spare SCore
21,424
(All-cores)
2,679
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.c7a.4xlarge
Description
ecs.c7a family (16 vCPUs, 32 GiB RAM, 0 GB storage)
Family
ecs.c7a
Hw Virt
Status
active
Observed At
2026-10-16T13:33:29.228445

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
0.067 USD/h 0.327 USD/h
Chengdu (CN) / cn-chengdu
0.069 USD/h 0.363 USD/h
Beijing (CN) / cn-beijing
- 0.363 USD/h
Guangzhou (CN) / cn-guangzhou
- 0.363 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.363 USD/h
Shanghai (CN) / cn-shanghai
- 0.363 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.363 USD/h
Frankfurt (DE) / eu-central-1
0.11255 USD/h 0.5491 USD/h
Virginia (US) / us-east-1
0.1236 USD/h 0.5493 USD/h
Hong Kong (HK) / cn-hongkong
0.1556 USD/h 0.5984 USD/h
Singapore (SG) / ap-southeast-1
- 0.5984 USD/h
Tokyo (JP) / ap-northeast-1
0.1436 USD/h 0.6528 USD/h

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
8
CPU Speed
2.55 GHz
CPU Architecture
x86_64
CPU Manufacturer
AMD
CPU Family
EPYC
CPU Model
7T83
CPU L1D Cache
32 KiB
CPU L1D Cache Total
256 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
256 KiB
CPU L2 Cache
512 KiB
CPU L2 Cache Total
4 MiB
CPU L3 Cache
32 MiB
CPU L3 Cache Total
32 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, 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, cr8_legacy, abm, sse4a, misalignsse, 3dnowprefetch, osvw, topoext, ssbd, ibrs, ibpb, stibp, vmmcall, tsc_adjust, bmi1, avx2, smep, bmi2, erms, invpcid, rdseed, adx, smap, clflushopt, clwb, sha_ni, xsaveopt, xsavec, xgetbv1, xsaves, clzero, xsaveerptr, wbnoinvd, arat, vaes, vpclmulqdq, rdpid, fsrm
Ecpus
8
Scalability
50

System Resources and Accelerators

MEMORY
Memory Amount
32 GiB
Memory Amount Actual
32 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
      5 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated AMD EPYC compute instance featuring sixteen vCPUs and thirty-two gigabytes of memory for steady-state processing workloads.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.c7a.4xlarge is an x86_64 compute-optimized instance featuring 16 dedicated vCPUs and 32.0 GB of RAM, powered by an AMD EPYC 7T83 processor at 2.55 GHz. Operating on the KVM hypervisor, this server provides a baseline network bandwidth of 5 Gbps but lacks local storage and GPU accelerators. Benchmark data shows strong single-core CPU performance and average multi-core capabilities, though uncached memory write bandwidth is poor. With a 2.0 GB per core memory allocation, the instance is suited for compute-bound workloads such as software compilation, web serving, and light text processing. It offers a balanced, dedicated hardware profile for steady-state execution where massive memory capacity or local storage is not required.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.65Score
      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) 1,176,231 ops/sec 1,918,343 ops/sec 0.63 50.00% 50.00% -21.00%
      Redis RPS (pipeline=16, SET) 8,891,204 ops/sec 11,704,734 ops/sec 0.74 20.00% 20.00% -5.80%
      PassMark Memory Mark (composite) 2,640 2,416 1.1 10.00% 10.00% +0.96%
      Memory bandwidth (read, 16 MB ~ L3) 25,646 MB/sec 108,420 MB/sec 0.24 10.00% 10.00% -13.00%
      PassMark single-thread CPU 2,380 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,500

      Geekbench Multi-Core

      Score: 8,253

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 21,196
      Compression
      		 251,488
      Encryption
      		 17,010
      Extended Instructions
      		 14,867
      Floating Point Maths
      		 36,319
      Integer Maths
      		 66,357
      Physics
      		 1,720
      Prime Numbers
      		 92
      Single Threaded
      		 2,380
      String Sorting
      		 34,645

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,640
      Database Operations
      		 6,584
      Memory Latency
      		 56
      Memory Read Cached
      		 23,412
      Memory Read Uncached
      		 17,722
      Memory Write
      		 15,600

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 247.02 203.53 0.82×
      bitops
      		 140,373 1,305,651 9.30×
      branch
      		 163,782 2,408,275 14.70×
      funccall
      		 539.57 5,556 10.30×
      funcret
      		 17,138 174,611 10.19×
      hash
      		 133,113 1,658,543 12.46×
      intmath
      		 58,117 625,239 10.76×
      nop
      		 282,501 2,276,152 8.06×
      prime
      		 389,813 3,863,801 9.91×
      rotate
      		 77,014 617,209 8.01×
      str
      		 863,110 8,058,887 9.34×
      wcs
      		 564,052 5,285,891 9.37×
      CryptographySingleMultiScaling
      crypt
      		 3,209 25,572 7.97×
      CompressionSingleMultiScaling
      jpeg
      		 722.24 7,839 10.85×
      zlib
      		 47 707.27 15.05×
      HypervisorSingleMultiScaling
      clock
      		 22,263 234,027 10.51×
      clone
      		 390.45 2,331 5.97×
      context
      		 3,139 42,048 13.39×
      cpu-sched
      		 60.65 1,036 17.09×
      eventfd
      		 65,046 787,043 12.10×
      fault
      		 7,837 102,458 13.07×
      fork
      		 3,946 41,441 10.50×
      getrandom
      		 45,213 458,189 10.13×
      hrtimers
      		 250,871 1,619,267 6.45×
      mprotect
      		 1,150,252 2,655,322 2.31×
      mtx
      		 26,642,659 839,034,699 31.49×
      munmap
      		 2,453 29,118 11.87×
      null
      		 407,307 5,201,486 12.77×
      pipe
      		 1,514,568 5,025,434 3.32×
      priv-instr
      		 408,573 5,283,127 12.93×
      resched
      		 4,457,976 1,258,869 0.28×
      switch
      		 152,405 1,633,795 10.72×
      timermix
      		 246,923 2,970,322 12.03×
      tlb-shootdown
      		 18,299 52,069 2.85×
      tsc
      		 667,484 10,278,596 15.40×
      usersyscall
      		 295,009 3,773,132 12.79×
      vdso
      		 77,135,866 1,043,300,823 13.53×
      vfork
      		 27,368 196,041 7.16×
      x86syscall
      		 4,843,809 62,150,349 12.83×
      yield
      		 7,591,497 8,321,693 1.10×
      zero
      		 2,786,882 33,237,444 11.93×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 13,864 114,831 8.28×
      expmath
      		 2,286 30,191 13.21×
      fma
      		 778,901 9,834,268 12.63×
      fp
      		 227.6 2,601 11.43×
      fractal
      		 6.8 89.21 13.12×
      hyperbolic
      		 3,281 40,086 12.22×
      logmath
      		 3,850 44,396 11.53×
      matrix
      		 2,694 32,297 11.99×
      matrix-3d
      		 383.2 927.47 2.42×
      monte-carlo
      		 182.72 2,239 12.25×
      mpfr
      		 1,390 13,585 9.77×
      powmath
      		 1,175 15,495 13.19×
      trig
      		 1,484 18,451 12.43×
      veccmp
      		 15,949 168,124 10.54×
      vecfp
      		 1,474 16,229 11.01×
      vecmath
      		 3,406 43,999 12.92×
      vecshuf
      		 531.74 4,967 9.34×
      vecwide
      		 23,613 240,639 10.19×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 8.6 73.4 8.53×
      bsearch
      		 262.71 2,764 10.52×
      bubblesort
      		 0.8 9.6 12.00×
      fibsearch
      		 317.22 3,059 9.64×
      heapsort
      		 9.4 92.2 9.81×
      hsearch
      		 7,570 68,454 9.04×
      insertionsort
      		 11.6 92.8 8.00×
      malloc
      		 2,903,278 32,092,879 11.05×
      mcontend
      		 207.4 2,775 13.38×
      mergesort
      		 26.98 320.59 11.88×
      qsort
      		 18.6 198.79 10.69×
      skiplist
      		 6,045 74,909 12.39×
      tree
      		 1.6 9.59 5.99×
      MemorySingleMultiScaling
      cache
      		 589,513 1,233,027 2.09×
      cachehammer
      		 255,425 3,021,840 11.83×
      cacheline
      		 36.15 603.62 16.70×
      l1cache
      		 153.23 1,263 8.24×
      memcpy
      		 355.79 2,776 7.80×
      memrate
      		 1.96 3.02 1.54×
      memthrash
      		 133.22 251.04 1.88×
      ptr-chase
      		 40,286,583 100,478,281 2.49×
      spinmem
      		 349.39 987.27 2.83×
      stream
      		 60.08 1,378 22.94×
      vm
      		 58,960 292,606 4.96×

      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

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