ecs.c7t.2xlarge by Alibaba Cloud

ecs.c7t.2xlarge is a ecs.c7t family (8 vCPUs, 16 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 8 vCPUs, 16 GiB of memory and 0 GB of storage. The pricing starts at 0.2912 USD per hour.
8 vCPU
16 GiB Memory
Spare SCore
7,767
(All-cores)
1,887
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.c7t.2xlarge
Description
ecs.c7t family (8 vCPUs, 16 GiB RAM, 0 GB storage)
Family
ecs.c7t
Hw Virt
Status
active
Observed At
2026-10-16T13:33:29.226687

Availability

REGION / IDSPOTONDEMAND
Beijing (CN) / cn-beijing
- 0.2912 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.2912 USD/h
Shanghai (CN) / cn-shanghai
- 0.2912 USD/h
Jakarta (ID) / ap-southeast-5
- 0.37 USD/h

Processor

vCPUs
8
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
4
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
192 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
128 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
5 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
4.1
Scalability
51.25

System Resources and Accelerators

MEMORY
Memory Amount
16 GiB
Memory Amount Actual
8 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 compute-optimized server featuring balanced processor performance and a 1:2 memory-to-vCPU ratio for compute-bound workloads.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.c7t.2xlarge is an x86_64 compute-optimized server instance featuring 8 dedicated vCPUs from an Intel Xeon 8369B processor running at 2.7 GHz, paired with 16.0 GB of RAM. It operates on the KVM hypervisor, lacks local storage and GPU hardware, and provides a baseline network bandwidth of 5 Gbps. Performance benchmarks indicate average capabilities, with a Geekbench multi-core score of 5889.0 and a Passmark CPU score of 11379.98. However, tradeoffs are evident in LLM inference, where performance is poor for medium 7B models, yielding only 7.64 tokens/sec during text generation. Conversely, the instance demonstrates solid utility for static web serving, software compilation, and database operations, making it a qualitatively cost-efficient choice for compute-focused workloads that do not demand high memory density.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.6Score
      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) 1,056,690 ops/sec 1,919,289 ops/sec 0.58 50.00% 50.00% -24.00%
      Redis RPS (pipeline=16, SET) 5,596,814 ops/sec 11,728,058 ops/sec 0.47 20.00% 20.00% -14.00%
      PassMark Memory Mark (composite) 1,862 2,416 0.79 10.00% 10.00% -2.30%
      Memory bandwidth (read, 16 MB ~ L3) 60,845 MB/sec 108,466 MB/sec 0.55 10.00% 10.00% -5.80%
      PassMark single-thread CPU 2,367 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,585

      Geekbench Multi-Core

      Score: 5,889

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 11,380
      Compression
      		 124,443
      Encryption
      		 7,299
      Extended Instructions
      		 6,993
      Floating Point Maths
      		 17,229
      Integer Maths
      		 33,696
      Physics
      		 1,378
      Prime Numbers
      		 74
      Single Threaded
      		 2,367
      String Sorting
      		 17,572

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,862
      Database Operations
      		 3,924
      Memory Latency
      		 62
      Memory Read Cached
      		 24,177
      Memory Read Uncached
      		 9,063
      Memory Write
      		 9,582

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 265.44 329.92 1.24×
      bitops
      		 130,279 533,212 4.09×
      branch
      		 137,481 873,235 6.35×
      funccall
      		 636.41 2,607 4.10×
      funcret
      		 12,007 69,883 5.82×
      hash
      		 152,161 879,275 5.78×
      intmath
      		 61,384 302,045 4.92×
      nop
      		 190,088 667,005 3.51×
      prime
      		 394,976 1,710,349 4.33×
      rotate
      		 97,997 416,155 4.25×
      str
      		 902,475 3,699,012 4.10×
      wcs
      		 601,566 2,133,612 3.55×
      CryptographySingleMultiScaling
      crypt
      		 2,843 10,557 3.71×
      CompressionSingleMultiScaling
      jpeg
      		 725.53 3,761 5.18×
      zlib
      		 49.73 354.24 7.12×
      HypervisorSingleMultiScaling
      clock
      		 25,966 149,337 5.75×
      clone
      		 591.99 1,837 3.10×
      context
      		 4,840 29,120 6.02×
      cpu-sched
      		 68.92 514.39 7.46×
      eventfd
      		 113,504 701,498 6.18×
      fault
      		 18,740 89,729 4.79×
      fork
      		 6,126 32,428 5.29×
      getrandom
      		 51,168 236,790 4.63×
      hrtimers
      		 153,916 1,154,366 7.50×
      mprotect
      		 1,051,757 2,142,540 2.04×
      mtx
      		 12,366,526 280,572,094 22.69×
      munmap
      		 4,398 21,445 4.88×
      null
      		 802,484 3,953,842 4.93×
      pipe
      		 1,062,235 4,637,294 4.37×
      priv-instr
      		 823,784 4,202,825 5.10×
      resched
      		 3,372,109 1,258,060 0.37×
      switch
      		 215,259 1,395,780 6.48×
      timermix
      		 347,436 2,424,651 6.98×
      tlb-shootdown
      		 11,859 22,261 1.88×
      tsc
      		 769,967 4,556,233 5.92×
      usersyscall
      		 642,772 3,229,487 5.02×
      vdso
      		 112,496,780 509,274,914 4.53×
      vfork
      		 47,700 162,780 3.41×
      x86syscall
      		 9,105,934 49,854,243 5.47×
      yield
      		 6,661,009 6,539,684 0.98×
      zero
      		 4,636,765 22,419,564 4.84×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 14,835 76,872 5.18×
      expmath
      		 2,896 16,992 5.87×
      fma
      		 661,607 4,607,976 6.96×
      fp
      		 179.77 827.09 4.60×
      fractal
      		 5 29.6 5.92×
      hyperbolic
      		 3,036 18,238 6.01×
      logmath
      		 4,861 28,176 5.80×
      matrix
      		 3,509 21,535 6.14×
      matrix-3d
      		 812.56 2,179 2.68×
      monte-carlo
      		 258.74 1,421 5.49×
      mpfr
      		 1,408 6,053 4.30×
      powmath
      		 1,689 10,075 5.97×
      trig
      		 1,969 10,036 5.10×
      veccmp
      		 20,224 78,783 3.90×
      vecfp
      		 1,528 7,505 4.91×
      vecmath
      		 3,234 18,768 5.80×
      vecshuf
      		 665.94 2,904 4.36×
      vecwide
      		 31,930 148,814 4.66×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 8 32.2 4.03×
      bsearch
      		 249.64 1,339 5.36×
      bubblesort
      		 1 3.2 3.20×
      fibsearch
      		 289.25 1,416 4.89×
      heapsort
      		 9.4 43.4 4.62×
      hsearch
      		 7,301 32,608 4.47×
      insertionsort
      		 10.6 25.6 2.42×
      malloc
      		 2,678,445 17,239,294 6.44×
      mcontend
      		 184.32 1,636 8.88×
      mergesort
      		 26.8 150.8 5.63×
      qsort
      		 20.6 86.8 4.21×
      skiplist
      		 5,455 32,410 5.94×
      tree
      		 1.6 8 5.00×
      MemorySingleMultiScaling
      cache
      		 403,384 649,210 1.61×
      cachehammer
      		 356,612 2,559,104 7.18×
      cacheline
      		 62.08 476.27 7.67×
      l1cache
      		 917.9 1,534 1.67×
      memcpy
      		 407.37 1,606 3.94×
      memrate
      		 1.78 6.25 3.51×
      memthrash
      		 196.67 334.39 1.70×
      ptr-chase
      		 36,398,844 94,160,378 2.59×
      spinmem
      		 344.59 249.98 0.73×
      stream
      		 37.14 1,347 36.27×
      vm
      		 108,921 291,988 2.68×

      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.3xlarge 1224 GiB0
      ecs.c7t.4xlarge 1632 GiB0
      ecs.c7t.6xlarge 2448 GiB0
      ecs.c7t.8xlarge 3264 GiB0
      ecs.c7t.16xlarge 64128 GiB0

      Similar Servers

      INSTANCEVENDORvCPUsMEMORYAccelerators

      ecs.c7t.2xlarge FAQs