ecs.u1-c1m4.3xlarge by Alibaba Cloud

ecs.u1-c1m4.3xlarge is a ecs.u1 family (12 vCPUs, 48 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 12 vCPUs, 48 GiB of memory and 0 GB of storage. The pricing starts at 0.0418 USD per hour.
12 vCPU
48 GiB Memory
Spare SCore
11,572
(All-cores)
1,852
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.u1-c1m4.3xlarge
Description
ecs.u1 family (12 vCPUs, 48 GiB RAM, 0 GB storage)
Family
ecs.u1
Hw Virt
Status
active
Observed At
2026-11-03T12:38:40.276764

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
- 0.2926 USD/h
Ulanqab (CN) / cn-wulanchabu
- 0.2926 USD/h
Guangzhou (CN) / cn-guangzhou
0.0418 USD/h 0.418 USD/h
Hangzhou (CN) / cn-hangzhou
0.0418 USD/h 0.418 USD/h
Qingdao (CN) / cn-qingdao
0.05225 USD/h 0.418 USD/h
Chengdu (CN) / cn-chengdu
0.0627 USD/h 0.418 USD/h
Beijing (CN) / cn-beijing
- 0.418 USD/h
Shanghai (CN) / cn-shanghai
- 0.418 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.418 USD/h
Silicon Valley (US) / us-west-1
0.11025 USD/h 0.5128 USD/h
London (GB) / eu-west-1
0.0829 USD/h 0.5922 USD/h
Frankfurt (DE) / eu-central-1
0.0862 USD/h 0.6158 USD/h
Singapore (SG) / ap-southeast-1
0.1215 USD/h 0.6394 USD/h
Hong Kong (HK) / cn-hongkong
0.067933 USD/h 0.7027 USD/h

Processor

vCPUs
12
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
6
CPU Speed
2.5 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU L1D Cache
32 KiB
CPU L1D Cache Total
192 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
192 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
6 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
6.2
Scalability
51.67

System Resources and Accelerators

MEMORY
Memory Amount
48 GiB
Memory Amount Actual
48 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
      4 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A balanced general-purpose virtual machine offering dedicated Intel Xeon processing and stable memory performance for standard enterprise workloads.

      General Purpose

      Alibaba Cloud ecs.u1-c1m4.3xlarge is a general-purpose instance built on the KVM hypervisor and powered by an Intel Xeon x86_64 processor. It features 12 dedicated vCPUs across 6 physical cores, 48.0 GB of RAM, and a 4 Gbps baseline network bandwidth, with no local storage or GPU. Performance benchmarks place this instance in the average tier, highlighted by a Passmark CPU score of 14790.0 and a Redis throughput of 11.32 million SET operations per second. While it handles small-scale language models and standard web serving efficiently, performance drops significantly on larger workloads like 7B parameter LLM inference. This instance provides a balanced, cost-efficient profile for general-purpose applications, including software compilation, web serving, and database operations, where dedicated CPU resources are required without the need for high-speed local storage.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.7Score
      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) 1,260,162 ops/sec 1,922,940 ops/sec 0.68 50.00% 50.00% -18.00%
      Redis RPS (pipeline=16, SET) 7,159,782 ops/sec 11,785,922 ops/sec 0.6 20.00% 20.00% -9.70%
      PassMark Memory Mark (composite) 2,112 2,415 0.88 10.00% 10.00% -1.30%
      Memory bandwidth (read, 16 MB ~ L3) 69,077 MB/sec 108,490 MB/sec 0.63 10.00% 10.00% -4.50%
      PassMark single-thread CPU 2,336 Mops/s 2,365 Mops/s 0.96 10.00% 10.00% -0.41%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,368

      Geekbench Multi-Core

      Score: 7,008

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      14,790
      Compression
      184,186
      Encryption
      6,349
      Extended Instructions
      10,436
      Floating Point Maths
      25,680
      Integer Maths
      50,159
      Physics
      1,435
      Prime Numbers
      87
      Single Threaded
      2,336
      String Sorting
      25,354

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      2,112
      Database Operations
      5,645
      Memory Latency
      55
      Memory Read Cached
      24,047
      Memory Read Uncached
      7,300
      Memory Write
      7,478

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      279.33 321.94 1.15×
      bitops
      129,204 794,095 6.15×
      branch
      136,630 1,296,660 9.49×
      funccall
      631.46 3,890 6.16×
      funcret
      11,616 102,866 8.86×
      hash
      151,025 1,307,824 8.66×
      intmath
      61,015 450,093 7.38×
      nop
      189,414 993,464 5.24×
      prime
      391,843 2,553,427 6.52×
      rotate
      97,442 628,460 6.45×
      str
      896,092 5,500,085 6.14×
      wcs
      618,180 3,237,444 5.24×
      CryptographySingleMultiScaling
      crypt
      2,822 15,747 5.58×
      CompressionSingleMultiScaling
      jpeg
      704.83 5,510 7.82×
      zlib
      56.85 509.75 8.97×
      HypervisorSingleMultiScaling
      clock
      16,132 130,148 8.07×
      clone
      581.03 2,671 4.60×
      context
      2,029 15,959 7.87×
      cpu-sched
      66.8 723.85 10.84×
      eventfd
      47,503 774,237 16.30×
      fault
      15,178 115,179 7.59×
      fork
      4,809 34,289 7.13×
      getrandom
      48,702 341,555 7.01×
      hrtimers
      369,840 1,213,484 3.28×
      mprotect
      1,039,426 1,944,450 1.87×
      mtx
      17,920,145 414,045,413 23.11×
      munmap
      3,519 27,588 7.84×
      null
      221,873 1,644,908 7.41×
      pipe
      1,041,111 4,205,391 4.04×
      priv-instr
      464,867 3,538,069 7.61×
      resched
      3,282,259 1,121,920 0.34×
      switch
      71,982 1,718,347 23.87×
      timermix
      298,301 3,012,063 10.10×
      tlb-shootdown
      11,236 29,440 2.62×
      tsc
      765,315 6,787,431 8.87×
      usersyscall
      329,571 2,499,662 7.58×
      vdso
      85,674,049 699,749,787 8.17×
      vfork
      31,697 176,943 5.58×
      x86syscall
      2,519,936 18,544,327 7.36×
      yield
      6,936,657 7,086,780 1.02×
      zero
      1,911,487 12,992,282 6.80×
      CPU float/SIMDSingleMultiScaling
      eigen
      14,734 113,495 7.70×
      expmath
      2,866 25,259 8.81×
      fma
      549,315 6,812,951 12.40×
      fp
      277.87 1,906 6.86×
      fractal
      5.2 46.4 8.92×
      hyperbolic
      3,057 27,185 8.89×
      logmath
      4,835 41,934 8.67×
      matrix
      3,431 31,463 9.17×
      matrix-3d
      751 2,961 3.94×
      monte-carlo
      117.17 897.82 7.66×
      mpfr
      1,400 9,036 6.45×
      powmath
      1,680 14,997 8.93×
      trig
      1,954 14,940 7.65×
      veccmp
      20,398 116,590 5.72×
      vecfp
      2,033 13,828 6.80×
      vecmath
      3,172 28,686 9.04×
      vecshuf
      878.27 7,061 8.04×
      vecwide
      56,991 404,472 7.10×
      AlgorithmsSingleMultiScaling
      bitonicsort
      8 48 6.00×
      bsearch
      249.48 1,988 7.97×
      bubblesort
      1 4.8 4.80×
      fibsearch
      287.81 2,122 7.37×
      heapsort
      9.4 65.2 6.94×
      hsearch
      7,307 49,615 6.79×
      insertionsort
      10.4 37.8 3.63×
      malloc
      2,494,014 21,448,991 8.60×
      mcontend
      139.32 2,510 18.01×
      mergesort
      26.8 225.19 8.40×
      qsort
      20.4 129.4 6.34×
      skiplist
      5,424 48,291 8.90×
      tree
      1.4 9.6 6.86×
      MemorySingleMultiScaling
      cache
      325,910 607,570 1.86×
      cachehammer
      374,159 3,943,850 10.54×
      cacheline
      62.51 659.79 10.55×
      l1cache
      277.9 1,524 5.48×
      memcpy
      403.98 2,394 5.93×
      memrate
      1.76 9.21 5.23×
      memthrash
      204.51 483.27 2.36×
      ptr-chase
      12,651,225 123,800,747 9.79×
      spinmem
      331.59 803.3 2.42×
      stream
      16.43 1,128 68.63×
      vm
      58,473 292,469 5.00×

      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-c1m4.3xlarge FAQs