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ecs.u1-c1m8.xlarge by Alibaba Cloud

ecs.u1-c1m8.xlarge is a ecs.u1 family (4 vCPUs, 32 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 4 vCPUs, 32 GiB of memory and 0 GB of storage. The pricing starts at 0.0185 USD per hour.
4 vCPU
32 GiB Memory
Spare SCore
3791
(All-cores)
1772
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.u1-c1m8.xlarge
Description
ecs.u1 family (4 vCPUs, 32 GiB RAM, 0 GB storage)
Family
ecs.u1
Hw Virt
Status
active
Observed At
2026-07-21T22:06:55.429715

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
0.0191 USD/h 0.1275 USD/h
Ulanqab (CN) / cn-wulanchabu
0.0242 USD/h 0.1275 USD/h
Shanghai (CN) / cn-shanghai
0.0185 USD/h 0.1846 USD/h
Shenzhen (CN) / cn-shenzhen
0.0231 USD/h 0.1846 USD/h
Hangzhou (CN) / cn-hangzhou
0.0277 USD/h 0.1846 USD/h
Qingdao (CN) / cn-qingdao
0.0314 USD/h 0.1846 USD/h
Chengdu (CN) / cn-chengdu
0.0351 USD/h 0.1846 USD/h
Guangzhou (CN) / cn-guangzhou
0.0351 USD/h 0.1846 USD/h
Beijing (CN) / cn-beijing
- 0.1846 USD/h
Silicon Valley (US) / us-west-1
0.0481 USD/h 0.2238 USD/h
London (GB) / eu-west-1
0.0448 USD/h 0.2635 USD/h
Singapore (SG) / ap-southeast-1
- 0.2682 USD/h
Frankfurt (DE) / eu-central-1
- 0.2682 USD/h
Hong Kong (HK) / cn-hongkong
0.0565 USD/h 0.2975 USD/h

Processor

vCPUs
4
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
64 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
64 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
2 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
2.1
Scalability
52.5

System Resources and Accelerators

MEMORY
Memory Amount
32 GiB
Memory Amount Actual
32 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    0 GB
    Storages
      NETWORK
      Network Speed Baseline
      1.5 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A memory-optimized virtual server featuring a high memory-to-core ratio for memory-intensive workloads with moderate compute requirements.

      Memory Optimized

      Alibaba Cloud ecs.u1-c1m8.xlarge is an x86_64 memory-optimized server configured with 4 dedicated Intel Xeon physical cores operating at 2.5 GHz and 32.0 GB of RAM. Running on the KVM hypervisor, this instance lacks local storage and GPU accelerators, utilizing a baseline network bandwidth of 2 Gbps. Benchmark data shows average single-core performance in text processing and compression, contrasted by weak multi-core scaling and low memory bandwidth. This hardware profile offers a cost-effective memory allocation of 8.0 GB per core for workloads that prioritize memory capacity over raw compute power. It is best suited for caching systems, lightweight databases, and text processing applications.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.278Score
      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) 391,461 ops/sec 1,896,415 ops/sec 0.206 50.00% 50.00% -54.60%
      Redis RPS (pipeline=16, SET) 2,228,015 ops/sec 11,539,523 ops/sec 0.193 20.00% 20.00% -28.00%
      PassMark Memory Mark (composite) 1,700 2,411 0.705 10.00% 10.00% -3.44%
      Memory bandwidth (read, 16 MB ~ L3) 30,696 MB/sec 107,368 MB/sec 0.286 10.00% 10.00% -11.80%
      PassMark single-thread CPU 2,320 Mops/s 2,363 Mops/s 0.982 10.00% 10.00% -0.18%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,302

      Geekbench Multi-Core

      Score: 2,768

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      5128
      Compression
      61717
      Encryption
      2063
      Extended Instructions
      3363
      Floating Point Maths
      8413
      Integer Maths
      16443
      Physics
      552
      Prime Numbers
      23
      Single Threaded
      2320
      String Sorting
      8290

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      1700
      Database Operations
      1695
      Memory Latency
      69
      Memory Read Cached
      23401
      Memory Read Uncached
      6938
      Memory Write
      6996

      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

      INSTANCEvCPUsMEMORYGPUs
      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-c1m8.xlarge FAQs