ecs.c7t.8xlarge by Alibaba Cloud

ecs.c7t.8xlarge is a ecs.c7t 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 1.165 USD per hour.
32 vCPU
64 GiB Memory
Spare SCore
31,105
(All-cores)
1,860
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.c7t.8xlarge
Description
ecs.c7t family (32 vCPUs, 64 GiB RAM, 0 GB storage)
Family
ecs.c7t
Hw Virt
Status
active
Observed At
2026-10-29T02:39:22.930778

Availability

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

Processor

vCPUs
32
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
16
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
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, 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
16.7
Scalability
52.19

System Resources and Accelerators

MEMORY
Memory Amount
64 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
      16 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated compute-optimized instance featuring thirty-two Intel Xeon vCPUs and sixty-four gigabytes of RAM for processor-intensive workloads.

      Compute Optimized

      Alibaba Cloud ecs.c7t.8xlarge is a compute-optimized instance featuring 32 dedicated vCPUs and 64.0 GB of RAM, powered by an Intel Xeon 8369B processor at 2.7 GHz. Built on the x86_64 architecture and running under a KVM hypervisor, this instance provides a 1:2 vCPU-to-RAM ratio designed for compute-heavy tasks. It lacks local storage and GPU accelerators but offers a baseline network bandwidth of 16 Gbps. Performance benchmarks show average tier results across CPU and memory tests, with a notable strength in text generation for small LLM models. The instance is well-suited for software compilation, web serving, and moderate-scale inference workloads where dedicated CPU resources are required without the overhead of high memory capacity.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.7Score
      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) 4,199,338 ops/sec 1,919,289 ops/sec 2.2 50.00% 50.00% +48.00%
      Redis RPS (pipeline=16, SET) 21,043,609 ops/sec 11,728,058 ops/sec 1.8 20.00% 20.00% +12.00%
      PassMark Memory Mark (composite) 2,405 2,416 1 10.00% 10.00% 0.00%
      Memory bandwidth (read, 16 MB ~ L3) 157,742 MB/sec 108,466 MB/sec 1.5 10.00% 10.00% +4.10%
      PassMark single-thread CPU 2,368 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,584

      Geekbench Multi-Core

      Score: 13,347

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 36,657
      Compression
      		 493,743
      Encryption
      		 29,226
      Extended Instructions
      		 28,379
      Floating Point Maths
      		 69,003
      Integer Maths
      		 134,931
      Physics
      		 3,316
      Prime Numbers
      		 182
      Single Threaded
      		 2,368
      String Sorting
      		 68,812

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,405
      Database Operations
      		 14,637
      Memory Latency
      		 63
      Memory Read Cached
      		 24,104
      Memory Read Uncached
      		 11,446
      Memory Write
      		 10,142

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 269.54 304.04 1.13×
      bitops
      		 130,332 2,135,508 16.39×
      branch
      		 137,522 3,498,465 25.44×
      funccall
      		 636.05 10,391 16.34×
      funcret
      		 11,808 281,898 23.87×
      hash
      		 152,134 3,524,638 23.17×
      intmath
      		 61,409 1,207,902 19.67×
      nop
      		 190,147 2,670,154 14.04×
      prime
      		 394,742 6,847,485 17.35×
      rotate
      		 97,985 1,661,187 16.95×
      str
      		 899,726 15,221,201 16.92×
      wcs
      		 612,244 8,652,199 14.13×
      CryptographySingleMultiScaling
      crypt
      		 2,819 42,281 15.00×
      CompressionSingleMultiScaling
      jpeg
      		 703.46 14,870 21.14×
      zlib
      		 51.28 1,407 27.44×
      HypervisorSingleMultiScaling
      clock
      		 24,725 367,079 14.85×
      clone
      		 625.4 6,798 10.87×
      context
      		 4,843 116,625 24.08×
      cpu-sched
      		 60.78 2,052 33.76×
      eventfd
      		 114,960 1,278,726 11.12×
      fault
      		 18,583 273,987 14.74×
      fork
      		 5,844 93,268 15.96×
      getrandom
      		 51,191 948,413 18.53×
      hrtimers
      		 536,380 3,084,326 5.75×
      mprotect
      		 1,143,257 8,390,173 7.34×
      mtx
      		 13,491,719 1,109,459,941 82.23×
      munmap
      		 4,180 69,076 16.53×
      null
      		 796,516 15,820,425 19.86×
      pipe
      		 1,100,120 13,944,443 12.68×
      priv-instr
      		 827,435 15,692,794 18.97×
      resched
      		 14,568,498 4,886,226 0.34×
      switch
      		 196,916 2,069,493 10.51×
      timermix
      		 353,397 9,705,040 27.46×
      tlb-shootdown
      		 11,626 63,609 5.47×
      tsc
      		 769,967 18,251,707 23.70×
      usersyscall
      		 644,795 12,558,325 19.48×
      vdso
      		 112,530,964 2,039,033,848 18.12×
      vfork
      		 42,958 202,361 4.71×
      x86syscall
      		 9,112,245 199,231,450 21.86×
      yield
      		 24,619,308 31,000,139 1.26×
      zero
      		 4,640,049 88,064,698 18.98×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 14,819 313,887 21.18×
      expmath
      		 2,889 68,008 23.54×
      fma
      		 661,562 18,460,100 27.90×
      fp
      		 200.62 3,295 16.42×
      fractal
      		 5 118.21 23.64×
      hyperbolic
      		 3,075 73,167 23.79×
      logmath
      		 4,853 112,879 23.26×
      matrix
      		 3,513 87,581 24.93×
      matrix-3d
      		 764.2 5,150 6.74×
      monte-carlo
      		 258.76 5,681 21.95×
      mpfr
      		 1,414 24,179 17.09×
      powmath
      		 1,690 40,412 23.91×
      trig
      		 1,969 40,204 20.41×
      veccmp
      		 20,286 315,474 15.55×
      vecfp
      		 1,530 29,868 19.52×
      vecmath
      		 3,236 75,203 23.24×
      vecshuf
      		 666.45 11,611 17.42×
      vecwide
      		 31,446 590,241 18.77×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 8 128 16.00×
      bsearch
      		 249.41 5,372 21.54×
      bubblesort
      		 1 12.8 12.80×
      fibsearch
      		 288.56 5,752 19.93×
      heapsort
      		 9.4 173 18.40×
      hsearch
      		 7,359 130,767 17.77×
      insertionsort
      		 10.6 102.4 9.66×
      malloc
      		 2,581,305 34,871,444 13.51×
      mcontend
      		 116.73 6,656 57.02×
      mergesort
      		 26.8 595.78 22.23×
      qsort
      		 20.8 346.59 16.66×
      skiplist
      		 5,463 129,757 23.75×
      tree
      		 1.6 21.58 13.49×
      MemorySingleMultiScaling
      cache
      		 413,137 854,687 2.07×
      cachehammer
      		 363,928 9,185,461 25.24×
      cacheline
      		 66.76 3,756 56.26×
      l1cache
      		 917.86 6,092 6.64×
      memcpy
      		 407.88 6,421 15.74×
      memrate
      		 1.58 12.2 7.72×
      memthrash
      		 225.04 997.02 4.43×
      ptr-chase
      		 36,162,300 280,606,552 7.76×
      spinmem
      		 359.19 2,153 5.99×
      stream
      		 39.86 10,382 260.46×
      vm
      		 108,213 297,039 2.74×

      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.16xlarge 64128 GiB0

      Similar Servers

      INSTANCEVENDORvCPUsMEMORYAccelerators

      ecs.c7t.8xlarge FAQs