ecs.u1-c1m8.2xlarge by Alibaba Cloud

ecs.u1-c1m8.2xlarge is a ecs.u1 family (8 vCPUs, 64 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 8 vCPUs, 64 GiB of memory and 0 GB of storage. The pricing starts at 0.0255 USD per hour.
8 vCPU
64 GiB Memory
Spare SCore
7,715
(All-cores)
1,886
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.u1-c1m8.2xlarge
Description
ecs.u1 family (8 vCPUs, 64 GiB RAM, 0 GB storage)
Family
ecs.u1
Hw Virt
Status
active
Observed At
2026-11-03T23:58:30.679422

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
0.0255 USD/h 0.255 USD/h
Ulanqab (CN) / cn-wulanchabu
- 0.255 USD/h
Beijing (CN) / cn-beijing
0.0369 USD/h 0.3692 USD/h
Shanghai (CN) / cn-shanghai
0.0369 USD/h 0.3692 USD/h
Guangzhou (CN) / cn-guangzhou
0.0554 USD/h 0.3692 USD/h
Qingdao (CN) / cn-qingdao
0.0554 USD/h 0.3692 USD/h
Chengdu (CN) / cn-chengdu
- 0.3692 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.3692 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.3692 USD/h
Silicon Valley (US) / us-west-1
0.09845 USD/h 0.4477 USD/h
London (GB) / eu-west-1
0.0526 USD/h 0.5261 USD/h
Frankfurt (DE) / eu-central-1
0.06435 USD/h 0.5364 USD/h
Singapore (SG) / ap-southeast-1
- 0.5364 USD/h
Hong Kong (HK) / cn-hongkong
- 0.595 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
4.1
Scalability
51.25

System Resources and Accelerators

MEMORY
Memory Amount
64 GiB
Memory Amount Actual
64 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

      CPU and System Topology

      Server Description

      An x86_64 virtual server with a high memory-to-vCPU ratio, optimized for database caching and general-purpose enterprise workloads.

      Memory OptimizedGeneral Purpose

      Alibaba Cloud ecs.u1-c1m8.2xlarge is an x86_64 virtual machine instance featuring 8 dedicated Intel Xeon vCPUs (4 physical cores) running at 2.5 GHz and 64.0 GB of RAM. Operating on a KVM hypervisor, it provides a high memory-to-core ratio of 8.0 GB per vCPU but lacks local storage and GPU acceleration. Benchmark results place the instance in the average tier for general compute, memory bandwidth, and database operations, as evidenced by a Passmark CPU score of 10405.69 and 7.81 million Redis SET operations per second. However, it exhibits poor performance on larger workloads like 7B LLM inference. This memory-optimized profile is highly cost-efficient for workloads requiring substantial memory capacity without high-performance storage, making it well-suited for in-memory databases, caching layers, web serving, and general-purpose enterprise applications.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.52Score
      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) 827,788 ops/sec 1,933,252 ops/sec 0.44 50.00% 50.00% -34.00%
      Redis RPS (pipeline=16, SET) 5,039,162 ops/sec 11,794,699 ops/sec 0.42 20.00% 20.00% -16.00%
      PassMark Memory Mark (composite) 2,529 2,412 1 10.00% 10.00% 0.00%
      Memory bandwidth (read, 16 MB ~ L3) 57,368 MB/sec 108,490 MB/sec 0.52 10.00% 10.00% -6.30%
      PassMark single-thread CPU 2,353 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,417

      Geekbench Multi-Core

      Score: 5,299

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      10,406
      Compression
      124,388
      Encryption
      4,229
      Extended Instructions
      6,931
      Floating Point Maths
      17,129
      Integer Maths
      33,453
      Physics
      1,325
      Prime Numbers
      73
      Single Threaded
      2,353
      String Sorting
      17,450

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      2,529
      Database Operations
      4,028
      Memory Latency
      54
      Memory Read Cached
      23,929
      Memory Read Uncached
      11,771
      Memory Write
      10,926

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      292.7 311.55 1.06×
      bitops
      129,144 529,375 4.10×
      branch
      136,561 864,149 6.33×
      funccall
      631.83 2,598 4.11×
      funcret
      11,766 69,096 5.87×
      hash
      149,886 872,667 5.82×
      intmath
      61,034 299,315 4.90×
      nop
      189,253 663,185 3.50×
      prime
      390,367 1,701,605 4.36×
      rotate
      97,398 419,733 4.31×
      str
      863,219 3,671,899 4.25×
      wcs
      610,314 2,118,560 3.47×
      CryptographySingleMultiScaling
      crypt
      2,822 10,504 3.72×
      CompressionSingleMultiScaling
      jpeg
      682.38 3,680 5.39×
      zlib
      45.85 292.55 6.38×
      HypervisorSingleMultiScaling
      clock
      16,051 89,930 5.60×
      clone
      587.12 1,819 3.10×
      context
      1,993 10,443 5.24×
      cpu-sched
      76.95 526.9 6.85×
      eventfd
      45,860 515,589 11.24×
      fault
      15,408 79,596 5.17×
      fork
      4,928 27,813 5.64×
      getrandom
      48,798 227,461 4.66×
      hrtimers
      241,496 844,465 3.50×
      mprotect
      916,324 1,299,645 1.42×
      mtx
      19,138,795 278,765,395 14.57×
      munmap
      3,571 18,591 5.21×
      null
      216,637 1,076,993 4.97×
      pipe
      976,757 2,801,580 2.87×
      priv-instr
      463,773 2,347,565 5.06×
      resched
      2,049,441 843,598 0.41×
      switch
      84,197 1,139,583 13.53×
      timermix
      291,361 1,972,858 6.77×
      tlb-shootdown
      13,575 21,253 1.57×
      tsc
      765,052 4,516,820 5.90×
      usersyscall
      327,569 1,643,529 5.02×
      vdso
      92,420,747 469,204,129 5.08×
      vfork
      34,751 142,727 4.11×
      x86syscall
      2,459,181 12,131,158 4.93×
      yield
      4,256,696 4,488,116 1.05×
      zero
      1,878,987 8,512,320 4.53×
      CPU float/SIMDSingleMultiScaling
      eigen
      14,734 74,735 5.07×
      expmath
      2,869 16,809 5.86×
      fma
      548,891 4,426,234 8.06×
      fp
      277.86 1,272 4.58×
      fractal
      5.2 31 5.96×
      hyperbolic
      3,056 18,129 5.93×
      logmath
      4,838 27,842 5.75×
      matrix
      3,454 20,952 6.07×
      matrix-3d
      800.3 2,205 2.75×
      monte-carlo
      117.13 596.26 5.09×
      mpfr
      1,403 6,028 4.30×
      powmath
      1,680 9,988 5.94×
      trig
      1,953 9,952 5.10×
      veccmp
      20,404 77,843 3.82×
      vecfp
      2,029 9,200 4.53×
      vecmath
      3,172 19,140 6.03×
      vecshuf
      881.23 4,710 5.34×
      vecwide
      56,988 269,974 4.74×
      AlgorithmsSingleMultiScaling
      bitonicsort
      8 32 4.00×
      bsearch
      248.73 1,316 5.29×
      bubblesort
      1 3.2 3.20×
      fibsearch
      286.86 1,421 4.95×
      heapsort
      9.4 43.4 4.62×
      hsearch
      7,068 32,958 4.66×
      insertionsort
      10.4 25.2 2.42×
      malloc
      2,614,022 16,736,165 6.40×
      mcontend
      151.03 1,696 11.23×
      mergesort
      26.6 149.8 5.63×
      qsort
      20.6 86.8 4.21×
      skiplist
      5,429 32,315 5.95×
      tree
      1.4 7.2 5.14×
      MemorySingleMultiScaling
      cache
      490,613 933,664 1.90×
      cachehammer
      383,026 2,727,567 7.12×
      cacheline
      56.89 466.9 8.21×
      l1cache
      279.93 1,017 3.63×
      memcpy
      404.18 1,597 3.95×
      memrate
      1.57 4.61 2.94×
      memthrash
      164.28 307.28 1.87×
      ptr-chase
      20,458,176 92,717,471 4.53×
      spinmem
      314.39 480.78 1.53×
      stream
      16.8 868.51 51.70×
      vm
      71,093 291,522 4.10×

      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

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      INSTANCEvCPUsMEMORYAccelerators
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      ecs.u1-c1m1.xlarge 44 GiB0
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      ecs.u1-c1m4.xlarge 416 GiB0

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      ecs.u1-c1m8.2xlarge FAQs