ecs.u1-c1m1.4xlarge by Alibaba Cloud

ecs.u1-c1m1.4xlarge is a ecs.u1 family (16 vCPUs, 16 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 16 vCPUs, 16 GiB of memory and 0 GB of storage. The pricing starts at 0.0283 USD per hour.
16 vCPU
16 GiB Memory
Spare SCore
15,449
(All-cores)
1,852
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.u1-c1m1.4xlarge
Description
ecs.u1 family (16 vCPUs, 16 GiB RAM, 0 GB storage)
Family
ecs.u1
Hw Virt
Status
active
Observed At
2026-11-03T23:58:30.679125

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
0.0283 USD/h 0.2833 USD/h
Ulanqab (CN) / cn-wulanchabu
- 0.2833 USD/h
Shenzhen (CN) / cn-shenzhen
0.0372 USD/h 0.4133 USD/h
Beijing (CN) / cn-beijing
0.0413 USD/h 0.4133 USD/h
Guangzhou (CN) / cn-guangzhou
0.0413 USD/h 0.4133 USD/h
Qingdao (CN) / cn-qingdao
0.0413 USD/h 0.4133 USD/h
Chengdu (CN) / cn-chengdu
- 0.4133 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.4133 USD/h
Shanghai (CN) / cn-shanghai
- 0.4133 USD/h
Silicon Valley (US) / us-west-1
0.1007 USD/h 0.5298 USD/h
Frankfurt (DE) / eu-central-1
0.069 USD/h 0.5997 USD/h
Singapore (SG) / ap-southeast-1
0.10065 USD/h 0.6101 USD/h
London (GB) / eu-west-1
0.07245 USD/h 0.6299 USD/h
Hong Kong (HK) / cn-hongkong
0.067 USD/h 0.6696 USD/h

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
8
CPU Speed
2.5 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
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
1 MiB
CPU L2 Cache Total
8 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
8.3
Scalability
51.88

System Resources and Accelerators

MEMORY
Memory Amount
16 GiB
Memory Amount Actual
16 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 compute-dense, x86_64 virtual server featuring sixteen dedicated vCPUs and a highly streamlined memory footprint for parallelized, low-RAM workloads.

      Compute Optimized

      Alibaba Cloud ecs.u1-c1m1.4xlarge is an x86_64 compute-focused server instance powered by a 2.5 GHz Intel Xeon processor. It features 16 dedicated vCPUs (8 physical cores) and 16.0 GB of RAM, resulting in a low 1:1 RAM-to-vCPU ratio. The instance lacks local storage and GPU acceleration, but provides a 5 Gbps baseline network bandwidth. Benchmark results place its performance in the average tier, with a PassMark CPU score of 19,335.86 and a Geekbench multi-core score of 8,756.0. While it delivers solid performance for parallelized CPU tasks like software compilation and text processing, the 16.0 GB memory limit presents a significant tradeoff for memory-intensive applications. This instance is best suited for compute-heavy, low-memory workloads such as static web serving, lightweight multi-threaded decompression, and parallelized build pipelines.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.89Score
      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) 1,662,515 ops/sec 1,930,206 ops/sec 0.89 50.00% 50.00% -5.70%
      Redis RPS (pipeline=16, SET) 9,800,735 ops/sec 11,792,140 ops/sec 0.82 20.00% 20.00% -3.90%
      PassMark Memory Mark (composite) 2,277 2,412 0.96 10.00% 10.00% -0.41%
      Memory bandwidth (read, 16 MB ~ L3) 102,860 MB/sec 108,490 MB/sec 0.91 10.00% 10.00% -0.94%
      PassMark single-thread CPU 2,394 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,435

      Geekbench Multi-Core

      Score: 8,756

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 19,336
      Compression
      		 244,847
      Encryption
      		 8,449
      Extended Instructions
      		 13,993
      Floating Point Maths
      		 34,230
      Integer Maths
      		 66,966
      Physics
      		 1,941
      Prime Numbers
      		 128
      Single Threaded
      		 2,394
      String Sorting
      		 34,573

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,277
      Database Operations
      		 7,966
      Memory Latency
      		 54
      Memory Read Cached
      		 24,065
      Memory Read Uncached
      		 9,732
      Memory Write
      		 10,317

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 269.28 317.21 1.18×
      bitops
      		 129,235 1,060,814 8.21×
      branch
      		 136,520 1,735,916 12.72×
      funccall
      		 630.48 5,166 8.19×
      funcret
      		 11,739 137,604 11.72×
      hash
      		 150,957 1,750,500 11.60×
      intmath
      		 61,006 601,593 9.86×
      nop
      		 188,892 1,324,504 7.01×
      prime
      		 391,486 3,405,360 8.70×
      rotate
      		 97,389 838,926 8.61×
      str
      		 882,579 7,352,279 8.33×
      wcs
      		 623,115 4,311,209 6.92×
      CryptographySingleMultiScaling
      crypt
      		 2,822 21,023 7.45×
      CompressionSingleMultiScaling
      jpeg
      		 707.88 7,294 10.30×
      zlib
      		 56.07 680.97 12.14×
      HypervisorSingleMultiScaling
      clock
      		 16,167 175,489 10.85×
      clone
      		 597.18 3,452 5.78×
      context
      		 2,047 21,315 10.41×
      cpu-sched
      		 60.76 1,001 16.48×
      eventfd
      		 46,813 464,557 9.92×
      fault
      		 15,689 146,040 9.31×
      fork
      		 4,970 44,409 8.94×
      getrandom
      		 48,712 456,152 9.36×
      hrtimers
      		 158,429 1,627,719 10.27×
      mprotect
      		 1,123,781 2,605,551 2.32×
      mtx
      		 17,706,879 547,399,931 30.91×
      munmap
      		 3,596 34,875 9.70×
      null
      		 218,339 2,202,224 10.09×
      pipe
      		 1,008,233 5,534,566 5.49×
      priv-instr
      		 464,202 4,623,117 9.96×
      resched
      		 4,627,540 1,589,081 0.34×
      switch
      		 107,480 2,230,025 20.75×
      timermix
      		 297,568 3,955,976 13.29×
      tlb-shootdown
      		 14,489 37,407 2.58×
      tsc
      		 765,081 9,061,854 11.84×
      usersyscall
      		 330,065 3,307,371 10.02×
      vdso
      		 92,179,329 940,981,881 10.21×
      vfork
      		 33,590 218,664 6.51×
      x86syscall
      		 2,468,416 24,804,073 10.05×
      yield
      		 8,430,910 9,058,004 1.07×
      zero
      		 1,876,530 17,602,438 9.38×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 14,731 153,644 10.43×
      expmath
      		 2,866 33,779 11.79×
      fma
      		 549,446 9,175,619 16.70×
      fp
      		 277.99 2,528 9.09×
      fractal
      		 5.2 62.2 11.96×
      hyperbolic
      		 3,054 36,193 11.85×
      logmath
      		 4,834 55,970 11.58×
      matrix
      		 3,421 42,081 12.30×
      matrix-3d
      		 800.43 3,741 4.67×
      monte-carlo
      		 117.25 1,195 10.20×
      mpfr
      		 1,401 12,044 8.60×
      powmath
      		 1,677 20,030 11.94×
      trig
      		 1,956 19,947 10.20×
      veccmp
      		 20,337 155,852 7.66×
      vecfp
      		 2,029 18,375 9.06×
      vecmath
      		 3,189 38,337 12.02×
      vecshuf
      		 877.79 9,442 10.76×
      vecwide
      		 56,934 540,014 9.48×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 8 64 8.00×
      bsearch
      		 248.8 2,649 10.65×
      bubblesort
      		 1 6.4 6.40×
      fibsearch
      		 286.93 2,839 9.90×
      heapsort
      		 9.4 86.4 9.19×
      hsearch
      		 7,257 64,119 8.84×
      insertionsort
      		 10.4 50.6 4.87×
      malloc
      		 2,612,746 26,122,201 10.00×
      mcontend
      		 117.09 3,436 29.35×
      mergesort
      		 26.6 297.79 11.20×
      qsort
      		 20.6 173.99 8.45×
      skiplist
      		 5,421 64,153 11.83×
      tree
      		 1.6 13.19 8.24×
      MemorySingleMultiScaling
      cache
      		 542,975 1,252,590 2.31×
      cachehammer
      		 367,391 5,382,958 14.65×
      cacheline
      		 66.57 985.88 14.81×
      l1cache
      		 277.23 2,035 7.34×
      memcpy
      		 403.94 3,188 7.89×
      memrate
      		 1.76 9.21 5.23×
      memthrash
      		 192.92 613.57 3.18×
      ptr-chase
      		 32,316,720 174,701,013 5.41×
      spinmem
      		 319.99 932.9 2.92×
      stream
      		 56.88 6,297 110.71×
      vm
      		 62,159 293,620 4.72×

      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.u1-c1m1.large 22 GiB0
      ecs.u1-c1m2.large 24 GiB0
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      ecs.u1-c1m8.large 216 GiB0
      ecs.u1-c1m1.xlarge 44 GiB0
      ecs.u1-c1m2.xlarge 48 GiB0
      ecs.u1-c1m4.xlarge 416 GiB0

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      ecs.u1-c1m1.4xlarge FAQs