ecs.u0.c1m8.2xlarge by Alibaba Cloud

ecs.u0.c1m8.2xlarge is a ecs.u0 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 last known price was 0.41664 USD per hour.
8 vCPU
64 GiB Memory
Spare SCore
5,856
(All-cores)
1,106
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.u0.c1m8.2xlarge
Description
ecs.u0 family (8 vCPUs, 64 GiB RAM, 0 GB storage)
Family
ecs.u0
Hw Virt
Status
inactive
Observed At
2026-11-06T12:18:47.658865

Availability

REGION / IDSPOTONDEMAND
Dubai (AE) / me-east-1
0.41664 USD/h 0.5208 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 Model
8163
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, pti, ibrs, ibpb, stibp, fsgsbase, tsc_adjust, bmi1, hle, avx2, smep, bmi2, erms, invpcid, rtm, mpx, avx512f, avx512dq, rdseed, adx, smap, avx512cd, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, arat
Ecpus
5.3
Scalability
66.25

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 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      An x86_64 memory-optimized virtual server featuring sixty-four gigabytes of RAM and eight dedicated vCPUs for memory-intensive, low-compute workloads.

      Memory OptimizedGeneral Purpose

      Alibaba Cloud ecs.u0.c1m8.2xlarge is an x86_64 memory-optimized server instance featuring 8 dedicated vCPUs and 64.0 GB of RAM. Powered by an Intel Xeon 8163 processor running at 2.5 GHz, this KVM-based instance provides 8.0 GB of memory per core but lacks local storage and GPU acceleration. Performance benchmarks indicate modest CPU capabilities, with stress-ng and Geekbench scores generally falling into the bottom 25% tier. However, the instance maintains average performance in large-block memory write bandwidth and small-scale LLM inference. With a baseline network bandwidth of 2 Gbps, this configuration is qualitatively cost-efficient for memory-heavy, compute-light workloads. It is best suited for caching, lightweight database tasks, and basic text processing rather than CPU-intensive compilation or high-throughput web serving.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.32Score
      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) 439,789 ops/sec 1,936,298 ops/sec 0.23 50.00% 50.00% -52.00%
      Redis RPS (pipeline=16, SET) 3,274,045 ops/sec 11,797,257 ops/sec 0.28 20.00% 20.00% -22.00%
      PassMark Memory Mark (composite) 1,696 2,407 0.71 10.00% 10.00% -3.40%
      Memory bandwidth (read, 16 MB ~ L3) 42,333 MB/sec 108,490 MB/sec 0.38 10.00% 10.00% -9.20%
      PassMark single-thread CPU 1,679 Mops/s 2,365 Mops/s 0.71 10.00% 10.00% -3.40%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 920

      Geekbench Multi-Core

      Score: 3,502

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 6,861
      Compression
      		 91,799
      Encryption
      		 2,717
      Extended Instructions
      		 5,894
      Floating Point Maths
      		 10,506
      Integer Maths
      		 19,527
      Physics
      		 675
      Prime Numbers
      		 34
      Single Threaded
      		 1,679
      String Sorting
      		 12,005

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,696
      Database Operations
      		 2,141
      Memory Latency
      		 80
      Memory Read Cached
      		 19,492
      Memory Read Uncached
      		 6,699
      Memory Write
      		 7,251

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 175.25 173.95 0.99×
      bitops
      		 100,345 442,867 4.41×
      branch
      		 121,889 734,920 6.03×
      funccall
      		 449.95 1,891 4.20×
      funcret
      		 9,145 52,862 5.78×
      hash
      		 103,621 614,510 5.93×
      intmath
      		 17,520 107,926 6.16×
      nop
      		 151,520 521,686 3.44×
      prime
      		 264,310 1,185,508 4.49×
      rotate
      		 76,523 384,856 5.03×
      str
      		 633,467 3,215,320 5.08×
      wcs
      		 421,554 1,836,983 4.36×
      CryptographySingleMultiScaling
      crypt
      		 1,932 7,529 3.90×
      CompressionSingleMultiScaling
      jpeg
      		 448.39 2,400 5.35×
      zlib
      		 34.76 275.68 7.93×
      HypervisorSingleMultiScaling
      clock
      		 8,703 48,287 5.55×
      clone
      		 352.43 1,318 3.74×
      context
      		 575.39 3,260 5.67×
      cpu-sched
      		 64.37 512.53 7.96×
      eventfd
      		 25,454 220,855 8.68×
      fault
      		 8,369 43,797 5.23×
      fork
      		 2,438 14,796 6.07×
      getrandom
      		 32,375 163,853 5.06×
      hrtimers
      		 136,338 667,534 4.90×
      mprotect
      		 468,477 499,134 1.07×
      mtx
      		 13,319,062 144,532,221 10.85×
      munmap
      		 1,797 10,358 5.77×
      null
      		 51,380 304,255 5.92×
      pipe
      		 409,838 1,112,765 2.72×
      priv-instr
      		 157,449 889,680 5.65×
      resched
      		 771,997 361,560 0.47×
      switch
      		 46,798 597,372 12.76×
      timermix
      		 110,199 637,632 5.79×
      tlb-shootdown
      		 8,953 13,532 1.51×
      tsc
      		 788,535 4,410,480 5.59×
      usersyscall
      		 102,718 578,168 5.63×
      vdso
      		 64,255,198 447,779,119 6.97×
      vfork
      		 17,157 77,419 4.51×
      x86syscall
      		 595,627 3,355,671 5.63×
      yield
      		 1,824,685 1,858,882 1.02×
      zero
      		 517,346 2,939,314 5.68×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 12,978 66,365 5.11×
      expmath
      		 2,134 12,943 6.07×
      fma
      		 478,847 3,264,338 6.82×
      fp
      		 132 777.44 5.89×
      fractal
      		 4.2 24.4 5.81×
      hyperbolic
      		 2,227 13,830 6.21×
      logmath
      		 3,597 21,751 6.05×
      matrix
      		 2,443 14,627 5.99×
      matrix-3d
      		 418.4 1,473 3.52×
      monte-carlo
      		 32.26 227.45 7.05×
      mpfr
      		 979.65 4,248 4.34×
      powmath
      		 1,258 7,688 6.11×
      trig
      		 1,353 7,411 5.48×
      veccmp
      		 12,314 48,584 3.95×
      vecfp
      		 1,759 8,712 4.95×
      vecmath
      		 1,676 10,528 6.28×
      vecshuf
      		 740.46 3,189 4.31×
      vecwide
      		 44,948 210,793 4.69×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 5.8 26.4 4.55×
      bsearch
      		 198.13 912.07 4.60×
      bubblesort
      		 0.6 1.6 2.67×
      fibsearch
      		 222.85 1,117 5.01×
      heapsort
      		 6.6 32.6 4.94×
      hsearch
      		 3,944 20,050 5.08×
      insertionsort
      		 6.4 25.6 4.00×
      malloc
      		 1,263,258 10,900,214 8.63×
      mcontend
      		 137.07 1,823 13.30×
      mergesort
      		 21.2 110.2 5.20×
      qsort
      		 15 73.4 4.89×
      skiplist
      		 4,144 23,331 5.63×
      tree
      		 0.8 3.2 4.00×
      MemorySingleMultiScaling
      cache
      		 209,201 303,379 1.45×
      cachehammer
      		 351,531 2,444,040 6.95×
      cacheline
      		 32.25 240.55 7.46×
      l1cache
      		 173.02 765.53 4.42×
      memcpy
      		 302.79 1,217 4.02×
      memrate
      		 0.94 4.4 4.68×
      memthrash
      		 80.07 240.97 3.01×
      ptr-chase
      		 7,859,955 57,550,086 7.32×
      spinmem
      		 184.79 313.56 1.70×
      stream
      		 32.44 1,221 37.64×
      vm
      		 16,360 259,329 15.85×

      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.u0.c1m1.large 22 GiB0
      ecs.u0.c1m2.large 24 GiB0
      ecs.u0.c1m8.large 216 GiB0
      ecs.u0.c1m8.xlarge 432 GiB0

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      ecs.u0.c1m8.2xlarge FAQs