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ecs.u1-c1m4.2xlarge by Alibaba Cloud

ecs.u1-c1m4.2xlarge is a ecs.u1 family (8 vCPUs, 32 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 8 vCPUs, 32 GiB of memory and 0 GB of storage. The pricing starts at 0.0176 USD per hour.
8 vCPU
32 GiB Memory
Spare SCore
7717
(All-cores)
1828
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.u1-c1m4.2xlarge
Description
ecs.u1 family (8 vCPUs, 32 GiB RAM, 0 GB storage)
Family
ecs.u1
Hw Virt
Status
active
Observed At
2026-08-06T11:21:34.419271

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
0.0176 USD/h 0.195 USD/h
Ulanqab (CN) / cn-wulanchabu
0.0371 USD/h 0.195 USD/h
Hangzhou (CN) / cn-hangzhou
0.0404 USD/h 0.2786 USD/h
Shenzhen (CN) / cn-shenzhen
0.0279 USD/h 0.2786 USD/h
Qingdao (CN) / cn-qingdao
0.04735 USD/h 0.2786 USD/h
Beijing (CN) / cn-beijing
- 0.2786 USD/h
Chengdu (CN) / cn-chengdu
- 0.2786 USD/h
Guangzhou (CN) / cn-guangzhou
- 0.2786 USD/h
Shanghai (CN) / cn-shanghai
- 0.2786 USD/h
Silicon Valley (US) / us-west-1
0.0991 USD/h 0.3419 USD/h
London (GB) / eu-west-1
0.0592 USD/h 0.3948 USD/h
Frankfurt (DE) / eu-central-1
0.0411 USD/h 0.4108 USD/h
Singapore (SG) / ap-southeast-1
0.07455 USD/h 0.4259 USD/h
Hong Kong (HK) / cn-hongkong
- 0.4684 USD/h

Processor

vCPUs
8
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
8
CPU Speed
2.5 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
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, 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
4.2
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
      2.5 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A balanced general-purpose virtual server offering dedicated Intel Xeon processing and stable memory performance for standard web and database workloads.

      General Purpose

      Alibaba Cloud ecs.u1-c1m4.2xlarge is a general-purpose instance featuring 8 dedicated physical cores on an Intel Xeon x86_64 processor running at 2.5 GHz, paired with 32.0 GB of RAM. Operating on a KVM hypervisor, this server lacks local storage and GPU accelerators, and it provides a baseline network bandwidth of 2 Gbps. Benchmark results place the instance in the average tier for standard compute tasks, with a Geekbench multi-core score of 5300.0 and a static web serving throughput of 9.56 GB/sec. However, it exhibits clear performance limitations on larger workloads, such as a weak 7.29 tokens per second for 7B LLM text generation. Consequently, this instance is highly suited for balanced, non-storage-intensive workloads like web serving, software compilation, and moderate database operations, offering a stable resource profile without the overhead of specialized hardware.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.535Score
      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) 838,023 ops/sec 1,910,660 ops/sec 0.439 50.00% 50.00% -33.70%
      Redis RPS (pipeline=16, SET) 5,112,795 ops/sec 11,608,287 ops/sec 0.44 20.00% 20.00% -15.10%
      PassMark Memory Mark (composite) 2,524 2,416 1.04 10.00% 10.00% +0.39%
      Memory bandwidth (read, 16 MB ~ L3) 63,261 MB/sec 107,896 MB/sec 0.586 10.00% 10.00% -5.20%
      PassMark single-thread CPU 2,346 Mops/s 2,364 Mops/s 0.992 10.00% 10.00% -0.08%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,417

      Geekbench Multi-Core

      Score: 5,300

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 10428
      Compression
      		 126038
      Encryption
      		 4230
      Extended Instructions
      		 6922
      Floating Point Maths
      		 17116
      Integer Maths
      		 33406
      Physics
      		 1366
      Prime Numbers
      		 71
      Single Threaded
      		 2346
      String Sorting
      		 17551

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2524
      Database Operations
      		 4032
      Memory Latency
      		 53
      Memory Read Cached
      		 24013
      Memory Read Uncached
      		 12447
      Memory Write
      		 11427

      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-c1m4.2xlarge FAQs