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ecs.u1-c1m4.3xlarge by Alibaba Cloud

ecs.u1-c1m4.3xlarge is a ecs.u1 family (12 vCPUs, 48 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 12 vCPUs, 48 GiB of memory and 0 GB of storage. The pricing starts at 0.0263 USD per hour.
12 vCPU
48 GiB Memory
Spare SCore
11572
(All-cores)
1852
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.u1-c1m4.3xlarge
Description
ecs.u1 family (12 vCPUs, 48 GiB RAM, 0 GB storage)
Family
ecs.u1
Hw Virt
Status
active
Observed At
2026-08-05T05:30:19.463053

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
0.0278 USD/h 0.2926 USD/h
Ulanqab (CN) / cn-wulanchabu
0.0556 USD/h 0.2926 USD/h
Guangzhou (CN) / cn-guangzhou
0.0627 USD/h 0.418 USD/h
Qingdao (CN) / cn-qingdao
0.0794 USD/h 0.418 USD/h
Beijing (CN) / cn-beijing
- 0.418 USD/h
Chengdu (CN) / cn-chengdu
- 0.418 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.418 USD/h
Shanghai (CN) / cn-shanghai
- 0.418 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.418 USD/h
Silicon Valley (US) / us-west-1
0.1231 USD/h 0.5128 USD/h
London (GB) / eu-west-1
0.07105 USD/h 0.5922 USD/h
Frankfurt (DE) / eu-central-1
0.0554 USD/h 0.6158 USD/h
Singapore (SG) / ap-southeast-1
0.0767 USD/h 0.6394 USD/h
Hong Kong (HK) / cn-hongkong
0.0984 USD/h 0.7027 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
6.2
Scalability
51.67

System Resources and Accelerators

MEMORY
Memory Amount
48 GiB
Memory Amount Actual
48 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 balanced x86_64 compute instance featuring twelve dedicated cores and forty-eight gigabytes of memory for general-purpose enterprise workloads.

      General Purpose

      Alibaba Cloud ecs.u1-c1m4.3xlarge is a general-purpose instance featuring 12 dedicated Intel Xeon physical cores running at 2.5 GHz on an x86_64 architecture. It is equipped with 48.0 GB of RAM, providing a balanced 4.0 GB per core, and operates on the KVM hypervisor. The instance lacks local storage and GPU accelerators, utilizing a baseline network bandwidth of 4 Gbps. Benchmark results place this server in the average tier for standard compute and memory tasks, with a Geekbench multi-core score of 7008.0 and a Redis SET throughput of 11.32 million operations per second. While highly capable for static web serving, software compilation, and standard database operations, it exhibits weak performance on larger LLM inference tasks. This makes the instance a cost-efficient choice for general-purpose enterprise workloads, web serving, and moderate application hosting.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.695Score
      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) 1,260,162 ops/sec 1,910,660 ops/sec 0.66 50.00% 50.00% -18.80%
      Redis RPS (pipeline=16, SET) 7,159,782 ops/sec 11,608,287 ops/sec 0.617 20.00% 20.00% -9.21%
      PassMark Memory Mark (composite) 2,112 2,416 0.874 10.00% 10.00% -1.34%
      Memory bandwidth (read, 16 MB ~ L3) 69,077 MB/sec 107,896 MB/sec 0.64 10.00% 10.00% -4.36%
      PassMark single-thread CPU 2,336 Mops/s 2,364 Mops/s 0.988 10.00% 10.00% -0.12%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,368

      Geekbench Multi-Core

      Score: 7,008

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 14790
      Compression
      		 184186
      Encryption
      		 6349
      Extended Instructions
      		 10436
      Floating Point Maths
      		 25680
      Integer Maths
      		 50159
      Physics
      		 1435
      Prime Numbers
      		 87
      Single Threaded
      		 2336
      String Sorting
      		 25354

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2112
      Database Operations
      		 5645
      Memory Latency
      		 55
      Memory Read Cached
      		 24047
      Memory Read Uncached
      		 7300
      Memory Write
      		 7478

      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-c1m4.3xlarge FAQs