ecs.u1-c1m4.8xlarge by Alibaba Cloud

ecs.u1-c1m4.8xlarge is a ecs.u1 family (32 vCPUs, 128 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 32 vCPUs, 128 GiB of memory and 0 GB of storage. The pricing starts at 0.0903 USD per hour.
32 vCPU
128 GiB Memory
Spare SCore
30,903
(All-cores)
1,867
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.u1-c1m4.8xlarge
Description
ecs.u1 family (32 vCPUs, 128 GiB RAM, 0 GB storage)
Family
ecs.u1
Hw Virt
Status
active
Observed At
2026-11-03T05:36:08.093557

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
0.0903 USD/h 1.0031 USD/h
Ulanqab (CN) / cn-wulanchabu
- 1.0031 USD/h
Shenzhen (CN) / cn-shenzhen
0.1115 USD/h 1.1146 USD/h
Hangzhou (CN) / cn-hangzhou
0.2118 USD/h 1.1146 USD/h
Qingdao (CN) / cn-qingdao
0.23965 USD/h 1.1146 USD/h
Beijing (CN) / cn-beijing
- 1.1146 USD/h
Chengdu (CN) / cn-chengdu
- 1.1146 USD/h
Guangzhou (CN) / cn-guangzhou
- 1.1146 USD/h
Shanghai (CN) / cn-shanghai
- 1.1146 USD/h
Silicon Valley (US) / us-west-1
0.2598 USD/h 1.3676 USD/h
London (GB) / eu-west-1
0.3 USD/h 1.5791 USD/h
Frankfurt (DE) / eu-central-1
0.3529 USD/h 1.6414 USD/h

Processor

vCPUs
32
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
16
CPU Speed
2.5 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU L1D Cache
32 KiB
CPU L1D Cache Total
512 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
512 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
16 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
16.6
Scalability
51.88

System Resources and Accelerators

MEMORY
Memory Amount
128 GiB
Memory Amount Actual
128 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
      10 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A balanced general-purpose instance featuring dedicated Intel Xeon processors and 128 GB of memory for predictable enterprise workloads.

      General Purpose

      Alibaba Cloud ecs.u1-c1m4.8xlarge is a general-purpose virtual machine featuring 32 dedicated vCPUs and 128.0 GB of RAM, powered by an Intel Xeon processor running at 2.5 GHz. Built on the KVM hypervisor, this x86_64 instance provides a balanced 1:4 vCPU-to-memory ratio with no bundled local storage or GPU accelerators. It features a 10 Gbps baseline network bandwidth. Performance benchmarks indicate average capabilities across standard compute and memory operations, with a PassMark CPU score of 34102.79 and a multi-core Geekbench score of 12613.0. The instance demonstrates strong performance in text generation for small language models, reaching 297.4 tokens per second. It is suited for general-purpose enterprise workloads, multi-threaded software compilation, static web serving, and database operations that require predictable CPU performance without the need for high-speed local NVMe storage.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.6Score
      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) 3,353,351 ops/sec 1,920,103 ops/sec 1.8 50.00% 50.00% +34.00%
      Redis RPS (pipeline=16, SET) 19,360,646 ops/sec 11,744,104 ops/sec 1.6 20.00% 20.00% +9.90%
      PassMark Memory Mark (composite) 2,753 2,415 1.2 10.00% 10.00% +1.80%
      Memory bandwidth (read, 16 MB ~ L3) 157,604 MB/sec 108,490 MB/sec 1.5 10.00% 10.00% +4.10%
      PassMark single-thread CPU 2,354 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,423

      Geekbench Multi-Core

      Score: 12,613

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 34,103
      Compression
      		 488,482
      Encryption
      		 16,942
      Extended Instructions
      		 28,183
      Floating Point Maths
      		 68,628
      Integer Maths
      		 134,052
      Physics
      		 3,299
      Prime Numbers
      		 184
      Single Threaded
      		 2,354
      String Sorting
      		 68,651

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,753
      Database Operations
      		 14,983
      Memory Latency
      		 53
      Memory Read Cached
      		 23,979
      Memory Read Uncached
      		 11,763
      Memory Write
      		 11,002

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 264.68 307.15 1.16×
      bitops
      		 129,044 2,123,619 16.46×
      branch
      		 136,667 3,471,036 25.40×
      funccall
      		 631.2 10,347 16.39×
      funcret
      		 11,697 268,868 22.99×
      hash
      		 150,338 3,496,353 23.26×
      intmath
      		 61,058 1,200,712 19.67×
      nop
      		 189,897 2,657,188 13.99×
      prime
      		 392,312 6,830,160 17.41×
      rotate
      		 97,439 1,675,436 17.19×
      str
      		 857,373 14,731,514 17.18×
      wcs
      		 606,094 8,650,835 14.27×
      CryptographySingleMultiScaling
      crypt
      		 2,824 42,088 14.91×
      CompressionSingleMultiScaling
      jpeg
      		 674.92 14,042 20.81×
      zlib
      		 57.03 1,374 24.09×
      HypervisorSingleMultiScaling
      clock
      		 15,749 277,894 17.65×
      clone
      		 583.38 6,593 11.30×
      context
      		 1,995 41,496 20.80×
      cpu-sched
      		 66.04 2,041 30.91×
      eventfd
      		 48,599 838,635 17.26×
      fault
      		 15,492 251,962 16.26×
      fork
      		 4,837 76,089 15.73×
      getrandom
      		 48,889 911,618 18.65×
      hrtimers
      		 135,728 2,752,214 20.28×
      mprotect
      		 1,170,790 5,132,060 4.38×
      mtx
      		 3,980,978 1,076,951,059 270.52×
      munmap
      		 3,438 57,789 16.81×
      null
      		 217,565 4,230,078 19.44×
      pipe
      		 1,037,051 11,306,674 10.90×
      priv-instr
      		 464,191 8,911,439 19.20×
      resched
      		 8,499,806 3,173,792 0.37×
      switch
      		 70,312 4,539,263 64.56×
      timermix
      		 301,927 7,916,992 26.22×
      tlb-shootdown
      		 14,084 64,143 4.55×
      tsc
      		 765,369 18,130,565 23.69×
      usersyscall
      		 325,558 6,483,947 19.92×
      vdso
      		 92,364,025 1,874,946,298 20.30×
      vfork
      		 32,393 190,967 5.90×
      x86syscall
      		 2,399,984 47,659,412 19.86×
      yield
      		 17,046,937 18,734,357 1.10×
      zero
      		 1,869,451 33,792,289 18.08×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 14,722 308,955 20.99×
      expmath
      		 2,867 67,511 23.55×
      fma
      		 548,771 17,797,580 32.43×
      fp
      		 278.08 5,068 18.22×
      fractal
      		 5.2 124.02 23.85×
      hyperbolic
      		 3,042 72,625 23.88×
      logmath
      		 4,838 112,055 23.16×
      matrix
      		 3,406 83,246 24.44×
      matrix-3d
      		 784.32 5,237 6.68×
      monte-carlo
      		 116.99 2,382 20.36×
      mpfr
      		 1,405 24,130 17.18×
      powmath
      		 1,684 40,151 23.84×
      trig
      		 1,956 39,958 20.43×
      veccmp
      		 20,404 311,775 15.28×
      vecfp
      		 2,032 36,743 18.08×
      vecmath
      		 3,172 76,712 24.18×
      vecshuf
      		 879.17 18,846 21.44×
      vecwide
      		 56,971 1,080,835 18.97×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 8 128 16.00×
      bsearch
      		 248.91 5,390 21.65×
      bubblesort
      		 1 12.8 12.80×
      fibsearch
      		 286.89 5,683 19.81×
      heapsort
      		 9.4 173 18.40×
      hsearch
      		 7,280 130,219 17.89×
      insertionsort
      		 10.4 101.6 9.77×
      malloc
      		 2,631,749 35,657,477 13.55×
      mcontend
      		 115.72 6,583 56.89×
      mergesort
      		 26.6 595.18 22.38×
      qsort
      		 20.6 345.79 16.79×
      skiplist
      		 5,430 129,161 23.79×
      tree
      		 1.6 21.98 13.74×
      MemorySingleMultiScaling
      cache
      		 527,548 1,237,422 2.35×
      cachehammer
      		 384,814 9,886,950 25.69×
      cacheline
      		 88.32 4,003 45.33×
      l1cache
      		 278.58 4,032 14.47×
      memcpy
      		 405.14 6,409 15.82×
      memrate
      		 1.76 12.67 7.20×
      memthrash
      		 235.09 1,002 4.26×
      ptr-chase
      		 32,844,741 313,978,724 9.56×
      spinmem
      		 320.59 1,913 5.97×
      stream
      		 34.27 10,187 297.26×
      vm
      		 71,263 297,237 4.17×

      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
      ecs.u1-c1m4.large 28 GiB0
      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-c1m4.8xlarge FAQs