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ecs.t5-c1m1.4xlarge by Alibaba Cloud

ecs.t5-c1m1.4xlarge is a ecs.t5 family (16 vCPUs, 16 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 16 vCPUs, 16 GiB of memory and 0 GB of storage. The pricing starts at 0.0234 USD per hour.
16 vCPU
16 GiB Memory
Spare SCore
15786
(All-cores)
1067
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.t5-c1m1.4xlarge
Description
ecs.t5 family (16 vCPUs, 16 GiB RAM, 0 GB storage)
Family
ecs.t5
Hw Virt
Status
active
Observed At
2026-07-25T09:27:31.367840

Availability

REGION / IDSPOTONDEMAND
London (GB) / eu-west-1
0.03115 USD/h 0.249 USD/h
Kuala Lumpur (MY) / ap-southeast-3
0.0337 USD/h 0.259 USD/h
Hong Kong (HK) / cn-hongkong
- 0.259 USD/h
Silicon Valley (US) / us-west-1
0.0234 USD/h 0.26 USD/h
Singapore (SG) / ap-southeast-1
0.0272 USD/h 0.272 USD/h
Jakarta (ID) / ap-southeast-5
0.0272 USD/h 0.272 USD/h
Tokyo (JP) / ap-northeast-1
0.0255 USD/h 0.283 USD/h

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Burstable
CPU Cores
16
CPU Speed
2.5 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8163
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, pti, ibrs, ibpb, stibp, fsgsbase, tsc_adjust, bmi1, hle, avx2, smep, bmi2, erms, invpcid, rtm, mpx, avx512f, avx512dq, rdseed, adx, smap, avx512cd, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, arat
Ecpus
14.8
Scalability
92.5

System Resources and Accelerators

MEMORY
Memory Amount
16 GiB
Memory Amount Actual
16 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
      1.2 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      This burstable virtual machine delivers multi core processing capabilities for budget conscious workloads that experience intermittent or spike prone resource demands.

      Burstable & BudgetGeneral Purpose

      Alibaba Cloud ecs.t5-c1m1.4xlarge is a burstable x86_64 server configured with 16 vCPUs and 16.0 GB of RAM, powered by an Intel Xeon 8163 processor running at 2.5 GHz with a 33 MB L3 cache. This instance features a 1:1 vCPU-to-RAM ratio, lacks local storage, and contains no GPU accelerators. Operating under a KVM hypervisor, it delivers a baseline network bandwidth of 1 Gbps. Benchmark data reveals weak single-core performance but average multi-core capabilities, alongside moderate memory bandwidth and average database operation speeds. Due to its burstable CPU allocation model, this server offers a highly cost-efficient profile for workloads with intermittent or spike-prone CPU utilization. It is best suited for budget-conscious, multi-threaded applications, software compilation, development environments, and lightweight web serving.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.663Score
      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) 1,142,266 ops/sec 1,896,415 ops/sec 0.602 50.00% 50.00% -22.40%
      Redis RPS (pipeline=16, SET) 7,979,168 ops/sec 11,539,523 ops/sec 0.691 20.00% 20.00% -7.13%
      PassMark Memory Mark (composite) 1,607 2,411 0.667 10.00% 10.00% -3.97%
      Memory bandwidth (read, 16 MB ~ L3) 101,967 MB/sec 107,368 MB/sec 0.95 10.00% 10.00% -0.51%
      PassMark single-thread CPU 1,613 Mops/s 2,363 Mops/s 0.682 10.00% 10.00% -3.75%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 836

      Geekbench Multi-Core

      Score: 6,235

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      16296
      Compression
      239094
      Encryption
      6172
      Extended Instructions
      18005
      Floating Point Maths
      33065
      Integer Maths
      46723
      Physics
      1664
      Prime Numbers
      92
      Single Threaded
      1613
      String Sorting
      31146

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      1607
      Database Operations
      3665
      Memory Latency
      84
      Memory Read Cached
      18880
      Memory Read Uncached
      6245
      Memory Write
      7090

      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.t5-lc2m1.nano 10.5 GiB0
      ecs.t5-lc1m1.small 11 GiB0
      ecs.t5-lc1m2.small 12 GiB0
      ecs.t5-c1m1.large 22 GiB0
      ecs.t5-c1m2.large 24 GiB0
      ecs.t5-lc1m2.large 24 GiB0
      ecs.t5-c1m4.large 28 GiB0

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      ecs.t5-c1m1.4xlarge FAQs