ecs.c7se.8xlarge by Alibaba Cloud

ecs.c7se.8xlarge is a ecs.c7se 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 1.2759 USD per hour.
32 vCPU
64 GiB Memory
Spare SCore
31,109
(All-cores)
1,853
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.c7se.8xlarge
Description
ecs.c7se family (32 vCPUs, 64 GiB RAM, 0 GB storage)
Family
ecs.c7se
Hw Virt
Status
active
Observed At
2026-10-24T00:57:06.632508

Availability

REGION / IDSPOTONDEMAND
Beijing (CN) / cn-beijing
- 1.2759 USD/h
Hangzhou (CN) / cn-hangzhou
- 1.2759 USD/h
Shanghai (CN) / cn-shanghai
- 1.2759 USD/h
Shenzhen (CN) / cn-shenzhen
- 1.2759 USD/h
Singapore (SG) / ap-southeast-1
- 1.6229 USD/h

Processor

vCPUs
32
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
16
CPU Speed
2.9 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8369B
CPU L1D Cache
48 KiB
CPU L1D Cache Total
768 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
512 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
20 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, 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, fsrm, arch_capabilities
Ecpus
16.8
Scalability
52.5

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 dedicated Intel Xeon processors and strong memory performance for compute-intensive enterprise workloads.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.c7se.8xlarge is a compute-optimized virtual instance featuring 32 dedicated vCPUs and 64.0 GB of RAM, powered by an Intel Xeon 8369B processor running at 2.9 GHz. Built on the x86_64 architecture with the KVM hypervisor, this instance lacks local storage and GPU accelerators but provides a baseline network bandwidth of 10 Gbps. Benchmark results indicate average multi-core CPU performance alongside strong memory performance, highlighted by a PassMark memory score in the top 25% tier. The processor supports advanced vector and cryptographic instructions, including AVX-512 and AES. This resource profile is highly suited for compute-intensive workloads such as software compilation, static web serving, multi-threaded decompression, and CPU-based machine learning inference where high memory-to-CPU ratios are not required.

      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) 4,277,163 ops/sec 1,919,289 ops/sec 2.3 50.00% 50.00% +52.00%
      Redis RPS (pipeline=16, SET) 21,271,966 ops/sec 11,728,058 ops/sec 1.8 20.00% 20.00% +12.00%
      PassMark Memory Mark (composite) 2,790 2,416 1.2 10.00% 10.00% +1.80%
      Memory bandwidth (read, 16 MB ~ L3) 161,900 MB/sec 108,466 MB/sec 1.5 10.00% 10.00% +4.10%
      PassMark single-thread CPU 2,372 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,577

      Geekbench Multi-Core

      Score: 13,470

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      36,838
      Compression
      497,957
      Encryption
      29,234
      Extended Instructions
      28,183
      Floating Point Maths
      68,976
      Integer Maths
      134,893
      Physics
      3,405
      Prime Numbers
      191
      Single Threaded
      2,372
      String Sorting
      69,512

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      2,790
      Database Operations
      15,148
      Memory Latency
      52
      Memory Read Cached
      23,638
      Memory Read Uncached
      12,698
      Memory Write
      11,616

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      270.96 284.05 1.05×
      bitops
      130,380 2,134,951 16.37×
      branch
      137,565 3,496,477 25.42×
      funccall
      635.97 10,432 16.40×
      funcret
      11,818 276,978 23.44×
      hash
      152,114 3,523,147 23.16×
      intmath
      61,430 1,207,851 19.66×
      nop
      190,017 2,673,263 14.07×
      prime
      393,486 6,910,838 17.56×
      rotate
      97,805 1,672,936 17.10×
      str
      900,895 15,251,992 16.93×
      wcs
      605,804 8,542,274 14.10×
      CryptographySingleMultiScaling
      crypt
      2,841 42,340 14.90×
      CompressionSingleMultiScaling
      jpeg
      704.87 15,003 21.28×
      zlib
      44.58 1,425 31.97×
      HypervisorSingleMultiScaling
      clock
      24,872 379,610 15.26×
      clone
      558.64 6,621 11.85×
      context
      4,844 116,682 24.09×
      cpu-sched
      59.96 2,010 33.53×
      eventfd
      113,843 1,293,915 11.37×
      fault
      18,467 273,100 14.79×
      fork
      5,869 93,845 15.99×
      getrandom
      51,153 947,643 18.53×
      hrtimers
      154,804 3,022,756 19.53×
      mprotect
      1,158,724 8,416,518 7.26×
      mtx
      12,051,247 1,048,027,894 86.96×
      munmap
      4,078 69,328 17.00×
      null
      800,613 15,737,386 19.66×
      pipe
      1,120,195 13,748,332 12.27×
      priv-instr
      827,063 15,096,813 18.25×
      resched
      14,564,078 4,951,851 0.34×
      switch
      193,655 2,097,773 10.83×
      timermix
      356,126 9,631,552 27.05×
      tlb-shootdown
      12,942 64,707 5.00×
      tsc
      770,182 18,248,693 23.69×
      usersyscall
      644,723 12,213,282 18.94×
      vdso
      112,535,952 2,042,060,789 18.15×
      vfork
      44,835 203,312 4.53×
      x86syscall
      9,136,674 199,179,645 21.80×
      yield
      25,984,940 30,778,659 1.18×
      zero
      4,640,217 88,978,490 19.18×
      CPU float/SIMDSingleMultiScaling
      eigen
      14,818 310,777 20.97×
      expmath
      2,890 67,852 23.48×
      fma
      660,944 18,443,979 27.91×
      fp
      186.71 3,307 17.71×
      fractal
      5 118.21 23.64×
      hyperbolic
      3,069 73,052 23.80×
      logmath
      4,856 112,840 23.24×
      matrix
      3,515 85,503 24.32×
      matrix-3d
      805.1 5,243 6.51×
      monte-carlo
      258.74 5,629 21.75×
      mpfr
      1,414 24,225 17.13×
      powmath
      1,686 40,383 23.95×
      trig
      1,964 40,165 20.45×
      veccmp
      20,347 315,422 15.50×
      vecfp
      1,531 29,986 19.59×
      vecmath
      3,237 75,195 23.23×
      vecshuf
      666.09 11,611 17.43×
      vecwide
      31,935 588,140 18.42×
      AlgorithmsSingleMultiScaling
      bitonicsort
      8 128.4 16.05×
      bsearch
      249.92 5,407 21.64×
      bubblesort
      1 12.8 12.80×
      fibsearch
      288.66 5,726 19.84×
      heapsort
      9.4 173.2 18.43×
      hsearch
      7,352 131,137 17.84×
      insertionsort
      10.4 102.4 9.85×
      malloc
      2,633,764 35,663,764 13.54×
      mcontend
      120.08 6,808 56.69×
      mergesort
      26.8 598.38 22.33×
      qsort
      20.8 346.58 16.66×
      skiplist
      5,447 130,351 23.93×
      tree
      1.6 24.78 15.49×
      MemorySingleMultiScaling
      cache
      432,397 760,540 1.76×
      cachehammer
      381,492 9,736,038 25.52×
      cacheline
      60.95 4,041 66.30×
      l1cache
      917.85 6,093 6.64×
      memcpy
      407.34 6,431 15.79×
      memrate
      1.98 13.21 6.67×
      memthrash
      289.93 1,018 3.51×
      ptr-chase
      36,360,199 319,356,883 8.78×
      spinmem
      356.99 2,173 6.09×
      stream
      42.79 10,713 250.36×
      vm
      124,376 297,501 2.39×

      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

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