ecs.u1-c1m1.2xlarge by Alibaba Cloud

ecs.u1-c1m1.2xlarge is a ecs.u1 family (8 vCPUs, 8 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 8 vCPUs, 8 GiB of memory and 0 GB of storage. The pricing starts at 0.0142 USD per hour.
8 vCPU
8 GiB Memory
Spare SCore
7,724
(All-cores)
1,857
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.u1-c1m1.2xlarge
Description
ecs.u1 family (8 vCPUs, 8 GiB RAM, 0 GB storage)
Family
ecs.u1
Hw Virt
Status
active
Observed At
2026-11-03T23:58:30.679519

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
0.0177 USD/h 0.1416 USD/h
Ulanqab (CN) / cn-wulanchabu
- 0.1416 USD/h
Beijing (CN) / cn-beijing
0.0207 USD/h 0.2067 USD/h
Guangzhou (CN) / cn-guangzhou
0.0207 USD/h 0.2067 USD/h
Qingdao (CN) / cn-qingdao
0.02585 USD/h 0.2067 USD/h
Shenzhen (CN) / cn-shenzhen
0.0207 USD/h 0.2067 USD/h
Shanghai (CN) / cn-shanghai
0.031 USD/h 0.2067 USD/h
Chengdu (CN) / cn-chengdu
- 0.2067 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.2067 USD/h
Silicon Valley (US) / us-west-1
0.0451 USD/h 0.2654 USD/h
Frankfurt (DE) / eu-central-1
0.03 USD/h 0.3003 USD/h
Singapore (SG) / ap-southeast-1
0.04425 USD/h 0.3051 USD/h
London (GB) / eu-west-1
0.0283 USD/h 0.3145 USD/h
Hong Kong (HK) / cn-hongkong
0.0637 USD/h 0.3353 USD/h

Processor

vCPUs
8
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
4
CPU Speed
2.5 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU L1D Cache
32 KiB
CPU L1D Cache Total
128 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
128 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
4 MiB
CPU L3 Cache
33 MiB
CPU L3 Cache Total
33 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, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, tsc_deadline_timer, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, abm, 3dnowprefetch, cpuid_fault, pti, fsgsbase, tsc_adjust, bmi1, avx2, smep, bmi2, erms, invpcid, avx512f, avx512dq, rdseed, adx, smap, clflushopt, clwb, avx512cd, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, arat
Ecpus
4.2
Scalability
52.5

System Resources and Accelerators

MEMORY
Memory Amount
8 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
      2.5 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      Server Description

      An x86_64 compute-focused instance with a 1:1 vCPU-to-RAM ratio, designed for lightweight multi-threaded workloads without high memory demands.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.u1-c1m1.2xlarge is an x86_64 compute-focused server instance featuring 8 dedicated vCPUs and 8.0 GB of system memory. Powered by an Intel Xeon processor running at 2.5 GHz, it provides a 1:1 memory-to-vCPU ratio, making it a cost-efficient option for compute-bound workloads with low memory requirements. The instance lacks local storage and GPU accelerators, relying on a 2 Gbps baseline network bandwidth. Benchmark data indicates average performance across standard CPU and memory tests, with a stress-ng multi-core score of 7723.84 and a static web serving throughput of 9.4 GB/sec. However, it exhibits weak performance on larger workloads, such as LLM inference on 7B models. It is best suited for lightweight web serving, software compilation, and basic multi-threaded processing tasks.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.53Score
      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) 852,030 ops/sec 1,930,206 ops/sec 0.45 50.00% 50.00% -33.00%
      Redis RPS (pipeline=16, SET) 5,147,351 ops/sec 11,792,140 ops/sec 0.42 20.00% 20.00% -16.00%
      PassMark Memory Mark (composite) 2,070 2,412 0.88 10.00% 10.00% -1.30%
      Memory bandwidth (read, 16 MB ~ L3) 62,878 MB/sec 108,490 MB/sec 0.57 10.00% 10.00% -5.50%
      PassMark single-thread CPU 2,375 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,397

      Geekbench Multi-Core

      Score: 5,272

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 10,428
      Compression
      		 124,711
      Encryption
      		 4,234
      Extended Instructions
      		 6,901
      Floating Point Maths
      		 17,137
      Integer Maths
      		 33,463
      Physics
      		 1,372
      Prime Numbers
      		 73
      Single Threaded
      		 2,375
      String Sorting
      		 17,521

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,070
      Database Operations
      		 4,028
      Memory Latency
      		 54
      Memory Read Cached
      		 23,493
      Memory Read Uncached
      		 11,279
      Memory Write
      		 10,605

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 281.45 297.6 1.06×
      bitops
      		 129,084 530,430 4.11×
      branch
      		 136,708 866,407 6.34×
      funccall
      		 629.9 2,599 4.13×
      funcret
      		 11,658 69,876 5.99×
      hash
      		 150,276 873,853 5.82×
      intmath
      		 61,057 300,064 4.91×
      nop
      		 190,033 662,446 3.49×
      prime
      		 391,444 1,706,728 4.36×
      rotate
      		 97,452 420,711 4.32×
      str
      		 848,933 3,668,580 4.32×
      wcs
      		 620,716 2,149,956 3.46×
      CryptographySingleMultiScaling
      crypt
      		 2,824 10,511 3.72×
      CompressionSingleMultiScaling
      jpeg
      		 684.39 3,689 5.39×
      zlib
      		 62.45 312 5.00×
      HypervisorSingleMultiScaling
      clock
      		 16,289 90,456 5.55×
      clone
      		 566.86 1,775 3.13×
      context
      		 2,029 10,639 5.24×
      cpu-sched
      		 59.19 503.08 8.50×
      eventfd
      		 43,142 520,374 12.06×
      fault
      		 15,880 81,331 5.12×
      fork
      		 5,100 27,894 5.47×
      getrandom
      		 48,780 227,963 4.67×
      hrtimers
      		 135,172 849,775 6.29×
      mprotect
      		 924,905 1,316,920 1.42×
      mtx
      		 17,170,213 252,883,113 14.73×
      munmap
      		 3,678 18,781 5.11×
      null
      		 219,000 1,093,458 4.99×
      pipe
      		 1,029,821 2,851,279 2.77×
      priv-instr
      		 472,704 2,377,988 5.03×
      resched
      		 2,066,598 756,703 0.37×
      switch
      		 70,012 1,160,575 16.58×
      timermix
      		 298,924 2,008,511 6.72×
      tlb-shootdown
      		 13,342 21,722 1.63×
      tsc
      		 765,800 4,526,399 5.91×
      usersyscall
      		 334,421 1,668,740 4.99×
      vdso
      		 92,351,880 469,839,113 5.09×
      vfork
      		 34,105 140,150 4.11×
      x86syscall
      		 2,462,116 12,354,427 5.02×
      yield
      		 4,291,479 4,589,060 1.07×
      zero
      		 1,882,071 8,650,141 4.60×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 14,739 76,466 5.19×
      expmath
      		 2,869 16,851 5.87×
      fma
      		 549,153 4,584,700 8.35×
      fp
      		 278.07 1,261 4.53×
      fractal
      		 5.2 31 5.96×
      hyperbolic
      		 3,057 18,149 5.94×
      logmath
      		 4,835 27,908 5.77×
      matrix
      		 3,440 21,070 6.12×
      matrix-3d
      		 704.96 2,152 3.05×
      monte-carlo
      		 117.53 597.73 5.09×
      mpfr
      		 1,401 6,032 4.31×
      powmath
      		 1,681 10,019 5.96×
      trig
      		 1,955 9,978 5.10×
      veccmp
      		 20,374 77,816 3.82×
      vecfp
      		 2,032 9,249 4.55×
      vecmath
      		 3,174 19,154 6.03×
      vecshuf
      		 878.88 4,706 5.35×
      vecwide
      		 56,928 270,036 4.74×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 8 32 4.00×
      bsearch
      		 249.25 1,334 5.35×
      bubblesort
      		 1 3.2 3.20×
      fibsearch
      		 287.76 1,425 4.95×
      heapsort
      		 9.4 43.2 4.60×
      hsearch
      		 7,061 32,961 4.67×
      insertionsort
      		 10.4 25 2.40×
      malloc
      		 2,644,776 18,063,340 6.83×
      mcontend
      		 170.71 1,636 9.58×
      mergesort
      		 26.6 149 5.60×
      qsort
      		 20.6 87 4.22×
      skiplist
      		 5,310 32,359 6.09×
      tree
      		 1.6 8 5.00×
      MemorySingleMultiScaling
      cache
      		 521,353 861,009 1.65×
      cachehammer
      		 370,047 2,751,579 7.44×
      cacheline
      		 55.15 522.94 9.48×
      l1cache
      		 279.68 1,014 3.63×
      memcpy
      		 404.75 1,535 3.79×
      memrate
      		 1.76 6.74 3.83×
      memthrash
      		 138.65 340.62 2.46×
      ptr-chase
      		 32,157,711 98,934,443 3.08×
      spinmem
      		 331.99 598.66 1.80×
      stream
      		 57.78 1,940 33.57×
      vm
      		 57,803 291,417 5.04×

      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
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      ecs.u1-c1m1.xlarge 44 GiB0
      ecs.u1-c1m2.xlarge 48 GiB0
      ecs.u1-c1m4.xlarge 416 GiB0

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      ecs.u1-c1m1.2xlarge FAQs