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ecs.u1-c1m1.3xlarge by Alibaba Cloud

ecs.u1-c1m1.3xlarge is a ecs.u1 family (12 vCPUs, 12 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 12 vCPUs, 12 GiB of memory and 0 GB of storage. The pricing starts at 0.0191 USD per hour.
12 vCPU
12 GiB Memory
Spare SCore
11581
(All-cores)
1828
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.u1-c1m1.3xlarge
Description
ecs.u1 family (12 vCPUs, 12 GiB RAM, 0 GB storage)
Family
ecs.u1
Hw Virt
Status
active
Observed At
2026-07-25T14:37:56.256848

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
0.0191 USD/h 0.2125 USD/h
Ulanqab (CN) / cn-wulanchabu
0.0191 USD/h 0.2125 USD/h
Beijing (CN) / cn-beijing
0.0279 USD/h 0.31 USD/h
Qingdao (CN) / cn-qingdao
0.02945 USD/h 0.31 USD/h
Shanghai (CN) / cn-shanghai
0.0465 USD/h 0.31 USD/h
Chengdu (CN) / cn-chengdu
- 0.31 USD/h
Guangzhou (CN) / cn-guangzhou
- 0.31 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.31 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.31 USD/h
Silicon Valley (US) / us-west-1
0.0557 USD/h 0.3976 USD/h
Frankfurt (DE) / eu-central-1
0.0405 USD/h 0.4496 USD/h
Singapore (SG) / ap-southeast-1
0.059433 USD/h 0.4571 USD/h
London (GB) / eu-west-1
0.0425 USD/h 0.4722 USD/h
Hong Kong (HK) / cn-hongkong
0.0502 USD/h 0.5024 USD/h

Processor

vCPUs
12
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
12
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
6.3
Scalability
52.5

System Resources and Accelerators

MEMORY
Memory Amount
12 GiB
Memory Amount Actual
12 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
      4 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A compute-focused, dedicated core server designed for parallel processing tasks requiring a minimal memory footprint and steady CPU performance.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.u1-c1m1.3xlarge is an x86_64 compute-oriented server featuring 12 dedicated physical cores on an Intel Xeon processor running at 2.5 GHz. It is configured with 12.0 GB of RAM, providing a 1.0 GB per core memory ratio, and does not include local storage or GPU hardware. Operating on a KVM hypervisor, it delivers a baseline network bandwidth of 4 Gbps. Performance benchmarks place the instance in the average tier, with a Geekbench multi-core score of 7074.0 and a Passmark CPU score of 15105.88. It demonstrates solid capabilities in static web serving at 13.6 GB/sec and Redis SET operations at 11.77 million operations per second. Given its 1:1 CPU-to-RAM ratio, this server is highly cost-efficient for parallelized, compute-heavy workloads with minimal memory footprints, such as software compilation, image processing, and lightweight web serving.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.74Score
      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) 1,282,420 ops/sec 1,896,415 ops/sec 0.676 50.00% 50.00% -17.80%
      Redis RPS (pipeline=16, SET) 7,741,980 ops/sec 11,539,523 ops/sec 0.671 20.00% 20.00% -7.67%
      PassMark Memory Mark (composite) 2,331 2,411 0.967 10.00% 10.00% -0.34%
      Memory bandwidth (read, 16 MB ~ L3) 86,116 MB/sec 107,368 MB/sec 0.802 10.00% 10.00% -2.18%
      PassMark single-thread CPU 2,355 Mops/s 2,363 Mops/s 0.997 10.00% 10.00% -0.03%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,426

      Geekbench Multi-Core

      Score: 7,074

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 15106
      Compression
      		 185099
      Encryption
      		 6338
      Extended Instructions
      		 10484
      Floating Point Maths
      		 25703
      Integer Maths
      		 50210
      Physics
      		 1857
      Prime Numbers
      		 107
      Single Threaded
      		 2355
      String Sorting
      		 26184

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2331
      Database Operations
      		 6018
      Memory Latency
      		 52
      Memory Read Cached
      		 23919
      Memory Read Uncached
      		 11648
      Memory Write
      		 11026

      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-c1m1.3xlarge FAQs