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ecs.u1-c1m4.4xlarge by Alibaba Cloud

ecs.u1-c1m4.4xlarge is a ecs.u1 family (16 vCPUs, 64 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 16 vCPUs, 64 GiB of memory and 0 GB of storage. The pricing starts at 0.0557 USD per hour.
16 vCPU
64 GiB Memory
Spare SCore
15445
(All-cores)
1824
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.u1-c1m4.4xlarge
Description
ecs.u1 family (16 vCPUs, 64 GiB RAM, 0 GB storage)
Family
ecs.u1
Hw Virt
Status
active
Observed At
2026-08-03T04:09:42.396844

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
0.0741 USD/h 0.3901 USD/h
Heyuan (CN) / cn-heyuan
- 0.3901 USD/h
Guangzhou (CN) / cn-guangzhou
0.0557 USD/h 0.5573 USD/h
Hangzhou (CN) / cn-hangzhou
0.0557 USD/h 0.5573 USD/h
Shenzhen (CN) / cn-shenzhen
0.0557 USD/h 0.5573 USD/h
Qingdao (CN) / cn-qingdao
0.1198 USD/h 0.5573 USD/h
Beijing (CN) / cn-beijing
- 0.5573 USD/h
Chengdu (CN) / cn-chengdu
- 0.5573 USD/h
Shanghai (CN) / cn-shanghai
- 0.5573 USD/h
Silicon Valley (US) / us-west-1
0.1641 USD/h 0.6838 USD/h
London (GB) / eu-west-1
0.1184 USD/h 0.7896 USD/h
Frankfurt (DE) / eu-central-1
- 0.8207 USD/h
Singapore (SG) / ap-southeast-1
0.162 USD/h 0.8528 USD/h
Hong Kong (HK) / cn-hongkong
0.17805 USD/h 0.9369 USD/h

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
16
CPU Speed
2.5 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU L1D Cache
32 KiB
CPU L1D Cache Total
256 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
256 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
8 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
8.5
Scalability
53.12

System Resources and Accelerators

MEMORY
Memory Amount
64 GiB
Memory Amount Actual
64 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
      5 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A balanced general-purpose virtual machine offering dedicated Intel Xeon cores and 64 GB RAM for reliable web serving and database workloads.

      General Purpose

      Alibaba Cloud ecs.u1-c1m4.4xlarge is a general-purpose virtual machine powered by an Intel Xeon x86_64 processor running at 2.5 GHz. It features 16 dedicated physical cores, 64.0 GB of RAM, and a 5 Gbps baseline network bandwidth, operating on a KVM hypervisor. This instance does not include local storage or GPU accelerators. Performance benchmarks place this server in the average tier, with a Geekbench multi-core score of 8674.0 and a static web serving throughput of 16.5 GB/sec. It handles Redis SET operations at 15.3 million operations per second and performs well on software compilation and lightweight LLM inference. The balanced 1:4 vCPU-to-RAM ratio makes it highly cost-efficient for standard enterprise workloads, including web serving, database operations, and general-purpose applications that do not require high-speed local NVMe storage or GPU acceleration.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.898Score
      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) 1,686,177 ops/sec 1,910,660 ops/sec 0.883 50.00% 50.00% -6.03%
      Redis RPS (pipeline=16, SET) 9,392,923 ops/sec 11,608,287 ops/sec 0.809 20.00% 20.00% -4.15%
      PassMark Memory Mark (composite) 2,502 2,416 1.04 10.00% 10.00% +0.39%
      Memory bandwidth (read, 16 MB ~ L3) 102,497 MB/sec 107,896 MB/sec 0.95 10.00% 10.00% -0.51%
      PassMark single-thread CPU 2,345 Mops/s 2,364 Mops/s 0.992 10.00% 10.00% -0.08%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,396

      Geekbench Multi-Core

      Score: 8,674

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 19110
      Compression
      		 245541
      Encryption
      		 8454
      Extended Instructions
      		 13974
      Floating Point Maths
      		 34226
      Integer Maths
      		 66816
      Physics
      		 2049
      Prime Numbers
      		 99
      Single Threaded
      		 2345
      String Sorting
      		 34096

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2502
      Database Operations
      		 7675
      Memory Latency
      		 56
      Memory Read Cached
      		 24090
      Memory Read Uncached
      		 10830
      Memory Write
      		 9944

      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-c1m4.4xlarge FAQs